redict/tests/unit/maxmemory.tcl

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Client eviction (#8687) ### Description A mechanism for disconnecting clients when the sum of all connected clients is above a configured limit. This prevents eviction or OOM caused by accumulated used memory between all clients. It's a complimentary mechanism to the `client-output-buffer-limit` mechanism which takes into account not only a single client and not only output buffers but rather all memory used by all clients. #### Design The general design is as following: * We track memory usage of each client, taking into account all memory used by the client (query buffer, output buffer, parsed arguments, etc...). This is kept up to date after reading from the socket, after processing commands and after writing to the socket. * Based on the used memory we sort all clients into buckets. Each bucket contains all clients using up up to x2 memory of the clients in the bucket below it. For example up to 1m clients, up to 2m clients, up to 4m clients, ... * Before processing a command and before sleep we check if we're over the configured limit. If we are we start disconnecting clients from larger buckets downwards until we're under the limit. #### Config `maxmemory-clients` max memory all clients are allowed to consume, above this threshold we disconnect clients. This config can either be set to 0 (meaning no limit), a size in bytes (possibly with MB/GB suffix), or as a percentage of `maxmemory` by using the `%` suffix (e.g. setting it to `10%` would mean 10% of `maxmemory`). #### Important code changes * During the development I encountered yet more situations where our io-threads access global vars. And needed to fix them. I also had to handle keeps the clients sorted into the memory buckets (which are global) while their memory usage changes in the io-thread. To achieve this I decided to simplify how we check if we're in an io-thread and make it much more explicit. I removed the `CLIENT_PENDING_READ` flag used for checking if the client is in an io-thread (it wasn't used for anything else) and just used the global `io_threads_op` variable the same way to check during writes. * I optimized the cleanup of the client from the `clients_pending_read` list on client freeing. We now store a pointer in the `client` struct to this list so we don't need to search in it (`pending_read_list_node`). * Added `evicted_clients` stat to `INFO` command. * Added `CLIENT NO-EVICT ON|OFF` sub command to exclude a specific client from the client eviction mechanism. Added corrosponding 'e' flag in the client info string. * Added `multi-mem` field in the client info string to show how much memory is used up by buffered multi commands. * Client `tot-mem` now accounts for buffered multi-commands, pubsub patterns and channels (partially), tracking prefixes (partially). * CLIENT_CLOSE_ASAP flag is now handled in a new `beforeNextClient()` function so clients will be disconnected between processing different clients and not only before sleep. This new function can be used in the future for work we want to do outside the command processing loop but don't want to wait for all clients to be processed before we get to it. Specifically I wanted to handle output-buffer-limit related closing before we process client eviction in case the two race with each other. * Added a `DEBUG CLIENT-EVICTION` command to print out info about the client eviction buckets. * Each client now holds a pointer to the client eviction memory usage bucket it belongs to and listNode to itself in that bucket for quick removal. * Global `io_threads_op` variable now can contain a `IO_THREADS_OP_IDLE` value indicating no io-threading is currently being executed. * In order to track memory used by each clients in real-time we can't rely on updating these stats in `clientsCron()` alone anymore. So now I call `updateClientMemUsage()` (used to be `clientsCronTrackClientsMemUsage()`) after command processing, after writing data to pubsub clients, after writing the output buffer and after reading from the socket (and maybe other places too). The function is written to be fast. * Clients are evicted if needed (with appropriate log line) in `beforeSleep()` and before processing a command (before performing oom-checks and key-eviction). * All clients memory usage buckets are grouped as follows: * All clients using less than 64k. * 64K..128K * 128K..256K * ... * 2G..4G * All clients using 4g and up. * Added client-eviction.tcl with a bunch of tests for the new mechanism. * Extended maxmemory.tcl to test the interaction between maxmemory and maxmemory-clients settings. * Added an option to flag a numeric configuration variable as a "percent", this means that if we encounter a '%' after the number in the config file (or config set command) we consider it as valid. Such a number is store internally as a negative value. This way an integer value can be interpreted as either a percent (negative) or absolute value (positive). This is useful for example if some numeric configuration can optionally be set to a percentage of something else. Co-authored-by: Oran Agra <oran@redislabs.com>
2021-09-23 07:02:16 -04:00
start_server {tags {"maxmemory" "external:skip"}} {
r config set maxmemory 11mb
r config set maxmemory-policy allkeys-lru
set server_pid [s process_id]
proc init_test {client_eviction} {
r flushdb
set prev_maxmemory_clients [r config get maxmemory-clients]
if $client_eviction {
r config set maxmemory-clients 3mb
r client no-evict on
Client eviction (#8687) ### Description A mechanism for disconnecting clients when the sum of all connected clients is above a configured limit. This prevents eviction or OOM caused by accumulated used memory between all clients. It's a complimentary mechanism to the `client-output-buffer-limit` mechanism which takes into account not only a single client and not only output buffers but rather all memory used by all clients. #### Design The general design is as following: * We track memory usage of each client, taking into account all memory used by the client (query buffer, output buffer, parsed arguments, etc...). This is kept up to date after reading from the socket, after processing commands and after writing to the socket. * Based on the used memory we sort all clients into buckets. Each bucket contains all clients using up up to x2 memory of the clients in the bucket below it. For example up to 1m clients, up to 2m clients, up to 4m clients, ... * Before processing a command and before sleep we check if we're over the configured limit. If we are we start disconnecting clients from larger buckets downwards until we're under the limit. #### Config `maxmemory-clients` max memory all clients are allowed to consume, above this threshold we disconnect clients. This config can either be set to 0 (meaning no limit), a size in bytes (possibly with MB/GB suffix), or as a percentage of `maxmemory` by using the `%` suffix (e.g. setting it to `10%` would mean 10% of `maxmemory`). #### Important code changes * During the development I encountered yet more situations where our io-threads access global vars. And needed to fix them. I also had to handle keeps the clients sorted into the memory buckets (which are global) while their memory usage changes in the io-thread. To achieve this I decided to simplify how we check if we're in an io-thread and make it much more explicit. I removed the `CLIENT_PENDING_READ` flag used for checking if the client is in an io-thread (it wasn't used for anything else) and just used the global `io_threads_op` variable the same way to check during writes. * I optimized the cleanup of the client from the `clients_pending_read` list on client freeing. We now store a pointer in the `client` struct to this list so we don't need to search in it (`pending_read_list_node`). * Added `evicted_clients` stat to `INFO` command. * Added `CLIENT NO-EVICT ON|OFF` sub command to exclude a specific client from the client eviction mechanism. Added corrosponding 'e' flag in the client info string. * Added `multi-mem` field in the client info string to show how much memory is used up by buffered multi commands. * Client `tot-mem` now accounts for buffered multi-commands, pubsub patterns and channels (partially), tracking prefixes (partially). * CLIENT_CLOSE_ASAP flag is now handled in a new `beforeNextClient()` function so clients will be disconnected between processing different clients and not only before sleep. This new function can be used in the future for work we want to do outside the command processing loop but don't want to wait for all clients to be processed before we get to it. Specifically I wanted to handle output-buffer-limit related closing before we process client eviction in case the two race with each other. * Added a `DEBUG CLIENT-EVICTION` command to print out info about the client eviction buckets. * Each client now holds a pointer to the client eviction memory usage bucket it belongs to and listNode to itself in that bucket for quick removal. * Global `io_threads_op` variable now can contain a `IO_THREADS_OP_IDLE` value indicating no io-threading is currently being executed. * In order to track memory used by each clients in real-time we can't rely on updating these stats in `clientsCron()` alone anymore. So now I call `updateClientMemUsage()` (used to be `clientsCronTrackClientsMemUsage()`) after command processing, after writing data to pubsub clients, after writing the output buffer and after reading from the socket (and maybe other places too). The function is written to be fast. * Clients are evicted if needed (with appropriate log line) in `beforeSleep()` and before processing a command (before performing oom-checks and key-eviction). * All clients memory usage buckets are grouped as follows: * All clients using less than 64k. * 64K..128K * 128K..256K * ... * 2G..4G * All clients using 4g and up. * Added client-eviction.tcl with a bunch of tests for the new mechanism. * Extended maxmemory.tcl to test the interaction between maxmemory and maxmemory-clients settings. * Added an option to flag a numeric configuration variable as a "percent", this means that if we encounter a '%' after the number in the config file (or config set command) we consider it as valid. Such a number is store internally as a negative value. This way an integer value can be interpreted as either a percent (negative) or absolute value (positive). This is useful for example if some numeric configuration can optionally be set to a percentage of something else. Co-authored-by: Oran Agra <oran@redislabs.com>
2021-09-23 07:02:16 -04:00
} else {
r config set maxmemory-clients 0
}
r config resetstat
# fill 5mb using 50 keys of 100kb
for {set j 0} {$j < 50} {incr j} {
r setrange $j 100000 x
}
assert_equal [r dbsize] 50
}
# Return true if the eviction occurred (client or key) based on argument
proc check_eviction_test {client_eviction} {
set evicted_keys [s evicted_keys]
set evicted_clients [s evicted_clients]
set dbsize [r dbsize]
if $client_eviction {
return [expr $evicted_clients > 0 && $evicted_keys == 0 && $dbsize == 50]
} else {
return [expr $evicted_clients == 0 && $evicted_keys > 0 && $dbsize < 50]
}
}
# Assert the eviction test passed (and prints some debug info on verbose)
proc verify_eviction_test {client_eviction} {
Client eviction (#8687) ### Description A mechanism for disconnecting clients when the sum of all connected clients is above a configured limit. This prevents eviction or OOM caused by accumulated used memory between all clients. It's a complimentary mechanism to the `client-output-buffer-limit` mechanism which takes into account not only a single client and not only output buffers but rather all memory used by all clients. #### Design The general design is as following: * We track memory usage of each client, taking into account all memory used by the client (query buffer, output buffer, parsed arguments, etc...). This is kept up to date after reading from the socket, after processing commands and after writing to the socket. * Based on the used memory we sort all clients into buckets. Each bucket contains all clients using up up to x2 memory of the clients in the bucket below it. For example up to 1m clients, up to 2m clients, up to 4m clients, ... * Before processing a command and before sleep we check if we're over the configured limit. If we are we start disconnecting clients from larger buckets downwards until we're under the limit. #### Config `maxmemory-clients` max memory all clients are allowed to consume, above this threshold we disconnect clients. This config can either be set to 0 (meaning no limit), a size in bytes (possibly with MB/GB suffix), or as a percentage of `maxmemory` by using the `%` suffix (e.g. setting it to `10%` would mean 10% of `maxmemory`). #### Important code changes * During the development I encountered yet more situations where our io-threads access global vars. And needed to fix them. I also had to handle keeps the clients sorted into the memory buckets (which are global) while their memory usage changes in the io-thread. To achieve this I decided to simplify how we check if we're in an io-thread and make it much more explicit. I removed the `CLIENT_PENDING_READ` flag used for checking if the client is in an io-thread (it wasn't used for anything else) and just used the global `io_threads_op` variable the same way to check during writes. * I optimized the cleanup of the client from the `clients_pending_read` list on client freeing. We now store a pointer in the `client` struct to this list so we don't need to search in it (`pending_read_list_node`). * Added `evicted_clients` stat to `INFO` command. * Added `CLIENT NO-EVICT ON|OFF` sub command to exclude a specific client from the client eviction mechanism. Added corrosponding 'e' flag in the client info string. * Added `multi-mem` field in the client info string to show how much memory is used up by buffered multi commands. * Client `tot-mem` now accounts for buffered multi-commands, pubsub patterns and channels (partially), tracking prefixes (partially). * CLIENT_CLOSE_ASAP flag is now handled in a new `beforeNextClient()` function so clients will be disconnected between processing different clients and not only before sleep. This new function can be used in the future for work we want to do outside the command processing loop but don't want to wait for all clients to be processed before we get to it. Specifically I wanted to handle output-buffer-limit related closing before we process client eviction in case the two race with each other. * Added a `DEBUG CLIENT-EVICTION` command to print out info about the client eviction buckets. * Each client now holds a pointer to the client eviction memory usage bucket it belongs to and listNode to itself in that bucket for quick removal. * Global `io_threads_op` variable now can contain a `IO_THREADS_OP_IDLE` value indicating no io-threading is currently being executed. * In order to track memory used by each clients in real-time we can't rely on updating these stats in `clientsCron()` alone anymore. So now I call `updateClientMemUsage()` (used to be `clientsCronTrackClientsMemUsage()`) after command processing, after writing data to pubsub clients, after writing the output buffer and after reading from the socket (and maybe other places too). The function is written to be fast. * Clients are evicted if needed (with appropriate log line) in `beforeSleep()` and before processing a command (before performing oom-checks and key-eviction). * All clients memory usage buckets are grouped as follows: * All clients using less than 64k. * 64K..128K * 128K..256K * ... * 2G..4G * All clients using 4g and up. * Added client-eviction.tcl with a bunch of tests for the new mechanism. * Extended maxmemory.tcl to test the interaction between maxmemory and maxmemory-clients settings. * Added an option to flag a numeric configuration variable as a "percent", this means that if we encounter a '%' after the number in the config file (or config set command) we consider it as valid. Such a number is store internally as a negative value. This way an integer value can be interpreted as either a percent (negative) or absolute value (positive). This is useful for example if some numeric configuration can optionally be set to a percentage of something else. Co-authored-by: Oran Agra <oran@redislabs.com>
2021-09-23 07:02:16 -04:00
set evicted_keys [s evicted_keys]
set evicted_clients [s evicted_clients]
set dbsize [r dbsize]
if $::verbose {
puts "evicted keys: $evicted_keys"
puts "evicted clients: $evicted_clients"
puts "dbsize: $dbsize"
}
assert [check_eviction_test $client_eviction]
Client eviction (#8687) ### Description A mechanism for disconnecting clients when the sum of all connected clients is above a configured limit. This prevents eviction or OOM caused by accumulated used memory between all clients. It's a complimentary mechanism to the `client-output-buffer-limit` mechanism which takes into account not only a single client and not only output buffers but rather all memory used by all clients. #### Design The general design is as following: * We track memory usage of each client, taking into account all memory used by the client (query buffer, output buffer, parsed arguments, etc...). This is kept up to date after reading from the socket, after processing commands and after writing to the socket. * Based on the used memory we sort all clients into buckets. Each bucket contains all clients using up up to x2 memory of the clients in the bucket below it. For example up to 1m clients, up to 2m clients, up to 4m clients, ... * Before processing a command and before sleep we check if we're over the configured limit. If we are we start disconnecting clients from larger buckets downwards until we're under the limit. #### Config `maxmemory-clients` max memory all clients are allowed to consume, above this threshold we disconnect clients. This config can either be set to 0 (meaning no limit), a size in bytes (possibly with MB/GB suffix), or as a percentage of `maxmemory` by using the `%` suffix (e.g. setting it to `10%` would mean 10% of `maxmemory`). #### Important code changes * During the development I encountered yet more situations where our io-threads access global vars. And needed to fix them. I also had to handle keeps the clients sorted into the memory buckets (which are global) while their memory usage changes in the io-thread. To achieve this I decided to simplify how we check if we're in an io-thread and make it much more explicit. I removed the `CLIENT_PENDING_READ` flag used for checking if the client is in an io-thread (it wasn't used for anything else) and just used the global `io_threads_op` variable the same way to check during writes. * I optimized the cleanup of the client from the `clients_pending_read` list on client freeing. We now store a pointer in the `client` struct to this list so we don't need to search in it (`pending_read_list_node`). * Added `evicted_clients` stat to `INFO` command. * Added `CLIENT NO-EVICT ON|OFF` sub command to exclude a specific client from the client eviction mechanism. Added corrosponding 'e' flag in the client info string. * Added `multi-mem` field in the client info string to show how much memory is used up by buffered multi commands. * Client `tot-mem` now accounts for buffered multi-commands, pubsub patterns and channels (partially), tracking prefixes (partially). * CLIENT_CLOSE_ASAP flag is now handled in a new `beforeNextClient()` function so clients will be disconnected between processing different clients and not only before sleep. This new function can be used in the future for work we want to do outside the command processing loop but don't want to wait for all clients to be processed before we get to it. Specifically I wanted to handle output-buffer-limit related closing before we process client eviction in case the two race with each other. * Added a `DEBUG CLIENT-EVICTION` command to print out info about the client eviction buckets. * Each client now holds a pointer to the client eviction memory usage bucket it belongs to and listNode to itself in that bucket for quick removal. * Global `io_threads_op` variable now can contain a `IO_THREADS_OP_IDLE` value indicating no io-threading is currently being executed. * In order to track memory used by each clients in real-time we can't rely on updating these stats in `clientsCron()` alone anymore. So now I call `updateClientMemUsage()` (used to be `clientsCronTrackClientsMemUsage()`) after command processing, after writing data to pubsub clients, after writing the output buffer and after reading from the socket (and maybe other places too). The function is written to be fast. * Clients are evicted if needed (with appropriate log line) in `beforeSleep()` and before processing a command (before performing oom-checks and key-eviction). * All clients memory usage buckets are grouped as follows: * All clients using less than 64k. * 64K..128K * 128K..256K * ... * 2G..4G * All clients using 4g and up. * Added client-eviction.tcl with a bunch of tests for the new mechanism. * Extended maxmemory.tcl to test the interaction between maxmemory and maxmemory-clients settings. * Added an option to flag a numeric configuration variable as a "percent", this means that if we encounter a '%' after the number in the config file (or config set command) we consider it as valid. Such a number is store internally as a negative value. This way an integer value can be interpreted as either a percent (negative) or absolute value (positive). This is useful for example if some numeric configuration can optionally be set to a percentage of something else. Co-authored-by: Oran Agra <oran@redislabs.com>
2021-09-23 07:02:16 -04:00
}
foreach {client_eviction} {false true} {
set clients {}
test "eviction due to output buffers of many MGET clients, client eviction: $client_eviction" {
init_test $client_eviction
for {set j 0} {$j < 20} {incr j} {
set rr [redis_deferring_client]
lappend clients $rr
}
# Generate client output buffers via MGET until we can observe some effect on
# keys / client eviction, or we time out.
set t [clock seconds]
while {![check_eviction_test $client_eviction] && [expr [clock seconds] - $t] < 20} {
Client eviction (#8687) ### Description A mechanism for disconnecting clients when the sum of all connected clients is above a configured limit. This prevents eviction or OOM caused by accumulated used memory between all clients. It's a complimentary mechanism to the `client-output-buffer-limit` mechanism which takes into account not only a single client and not only output buffers but rather all memory used by all clients. #### Design The general design is as following: * We track memory usage of each client, taking into account all memory used by the client (query buffer, output buffer, parsed arguments, etc...). This is kept up to date after reading from the socket, after processing commands and after writing to the socket. * Based on the used memory we sort all clients into buckets. Each bucket contains all clients using up up to x2 memory of the clients in the bucket below it. For example up to 1m clients, up to 2m clients, up to 4m clients, ... * Before processing a command and before sleep we check if we're over the configured limit. If we are we start disconnecting clients from larger buckets downwards until we're under the limit. #### Config `maxmemory-clients` max memory all clients are allowed to consume, above this threshold we disconnect clients. This config can either be set to 0 (meaning no limit), a size in bytes (possibly with MB/GB suffix), or as a percentage of `maxmemory` by using the `%` suffix (e.g. setting it to `10%` would mean 10% of `maxmemory`). #### Important code changes * During the development I encountered yet more situations where our io-threads access global vars. And needed to fix them. I also had to handle keeps the clients sorted into the memory buckets (which are global) while their memory usage changes in the io-thread. To achieve this I decided to simplify how we check if we're in an io-thread and make it much more explicit. I removed the `CLIENT_PENDING_READ` flag used for checking if the client is in an io-thread (it wasn't used for anything else) and just used the global `io_threads_op` variable the same way to check during writes. * I optimized the cleanup of the client from the `clients_pending_read` list on client freeing. We now store a pointer in the `client` struct to this list so we don't need to search in it (`pending_read_list_node`). * Added `evicted_clients` stat to `INFO` command. * Added `CLIENT NO-EVICT ON|OFF` sub command to exclude a specific client from the client eviction mechanism. Added corrosponding 'e' flag in the client info string. * Added `multi-mem` field in the client info string to show how much memory is used up by buffered multi commands. * Client `tot-mem` now accounts for buffered multi-commands, pubsub patterns and channels (partially), tracking prefixes (partially). * CLIENT_CLOSE_ASAP flag is now handled in a new `beforeNextClient()` function so clients will be disconnected between processing different clients and not only before sleep. This new function can be used in the future for work we want to do outside the command processing loop but don't want to wait for all clients to be processed before we get to it. Specifically I wanted to handle output-buffer-limit related closing before we process client eviction in case the two race with each other. * Added a `DEBUG CLIENT-EVICTION` command to print out info about the client eviction buckets. * Each client now holds a pointer to the client eviction memory usage bucket it belongs to and listNode to itself in that bucket for quick removal. * Global `io_threads_op` variable now can contain a `IO_THREADS_OP_IDLE` value indicating no io-threading is currently being executed. * In order to track memory used by each clients in real-time we can't rely on updating these stats in `clientsCron()` alone anymore. So now I call `updateClientMemUsage()` (used to be `clientsCronTrackClientsMemUsage()`) after command processing, after writing data to pubsub clients, after writing the output buffer and after reading from the socket (and maybe other places too). The function is written to be fast. * Clients are evicted if needed (with appropriate log line) in `beforeSleep()` and before processing a command (before performing oom-checks and key-eviction). * All clients memory usage buckets are grouped as follows: * All clients using less than 64k. * 64K..128K * 128K..256K * ... * 2G..4G * All clients using 4g and up. * Added client-eviction.tcl with a bunch of tests for the new mechanism. * Extended maxmemory.tcl to test the interaction between maxmemory and maxmemory-clients settings. * Added an option to flag a numeric configuration variable as a "percent", this means that if we encounter a '%' after the number in the config file (or config set command) we consider it as valid. Such a number is store internally as a negative value. This way an integer value can be interpreted as either a percent (negative) or absolute value (positive). This is useful for example if some numeric configuration can optionally be set to a percentage of something else. Co-authored-by: Oran Agra <oran@redislabs.com>
2021-09-23 07:02:16 -04:00
foreach rr $clients {
if {[catch {
$rr mget 1
$rr flush
} err]} {
Client eviction (#8687) ### Description A mechanism for disconnecting clients when the sum of all connected clients is above a configured limit. This prevents eviction or OOM caused by accumulated used memory between all clients. It's a complimentary mechanism to the `client-output-buffer-limit` mechanism which takes into account not only a single client and not only output buffers but rather all memory used by all clients. #### Design The general design is as following: * We track memory usage of each client, taking into account all memory used by the client (query buffer, output buffer, parsed arguments, etc...). This is kept up to date after reading from the socket, after processing commands and after writing to the socket. * Based on the used memory we sort all clients into buckets. Each bucket contains all clients using up up to x2 memory of the clients in the bucket below it. For example up to 1m clients, up to 2m clients, up to 4m clients, ... * Before processing a command and before sleep we check if we're over the configured limit. If we are we start disconnecting clients from larger buckets downwards until we're under the limit. #### Config `maxmemory-clients` max memory all clients are allowed to consume, above this threshold we disconnect clients. This config can either be set to 0 (meaning no limit), a size in bytes (possibly with MB/GB suffix), or as a percentage of `maxmemory` by using the `%` suffix (e.g. setting it to `10%` would mean 10% of `maxmemory`). #### Important code changes * During the development I encountered yet more situations where our io-threads access global vars. And needed to fix them. I also had to handle keeps the clients sorted into the memory buckets (which are global) while their memory usage changes in the io-thread. To achieve this I decided to simplify how we check if we're in an io-thread and make it much more explicit. I removed the `CLIENT_PENDING_READ` flag used for checking if the client is in an io-thread (it wasn't used for anything else) and just used the global `io_threads_op` variable the same way to check during writes. * I optimized the cleanup of the client from the `clients_pending_read` list on client freeing. We now store a pointer in the `client` struct to this list so we don't need to search in it (`pending_read_list_node`). * Added `evicted_clients` stat to `INFO` command. * Added `CLIENT NO-EVICT ON|OFF` sub command to exclude a specific client from the client eviction mechanism. Added corrosponding 'e' flag in the client info string. * Added `multi-mem` field in the client info string to show how much memory is used up by buffered multi commands. * Client `tot-mem` now accounts for buffered multi-commands, pubsub patterns and channels (partially), tracking prefixes (partially). * CLIENT_CLOSE_ASAP flag is now handled in a new `beforeNextClient()` function so clients will be disconnected between processing different clients and not only before sleep. This new function can be used in the future for work we want to do outside the command processing loop but don't want to wait for all clients to be processed before we get to it. Specifically I wanted to handle output-buffer-limit related closing before we process client eviction in case the two race with each other. * Added a `DEBUG CLIENT-EVICTION` command to print out info about the client eviction buckets. * Each client now holds a pointer to the client eviction memory usage bucket it belongs to and listNode to itself in that bucket for quick removal. * Global `io_threads_op` variable now can contain a `IO_THREADS_OP_IDLE` value indicating no io-threading is currently being executed. * In order to track memory used by each clients in real-time we can't rely on updating these stats in `clientsCron()` alone anymore. So now I call `updateClientMemUsage()` (used to be `clientsCronTrackClientsMemUsage()`) after command processing, after writing data to pubsub clients, after writing the output buffer and after reading from the socket (and maybe other places too). The function is written to be fast. * Clients are evicted if needed (with appropriate log line) in `beforeSleep()` and before processing a command (before performing oom-checks and key-eviction). * All clients memory usage buckets are grouped as follows: * All clients using less than 64k. * 64K..128K * 128K..256K * ... * 2G..4G * All clients using 4g and up. * Added client-eviction.tcl with a bunch of tests for the new mechanism. * Extended maxmemory.tcl to test the interaction between maxmemory and maxmemory-clients settings. * Added an option to flag a numeric configuration variable as a "percent", this means that if we encounter a '%' after the number in the config file (or config set command) we consider it as valid. Such a number is store internally as a negative value. This way an integer value can be interpreted as either a percent (negative) or absolute value (positive). This is useful for example if some numeric configuration can optionally be set to a percentage of something else. Co-authored-by: Oran Agra <oran@redislabs.com>
2021-09-23 07:02:16 -04:00
lremove clients $rr
}
}
}
verify_eviction_test $client_eviction
}
Client eviction (#8687) ### Description A mechanism for disconnecting clients when the sum of all connected clients is above a configured limit. This prevents eviction or OOM caused by accumulated used memory between all clients. It's a complimentary mechanism to the `client-output-buffer-limit` mechanism which takes into account not only a single client and not only output buffers but rather all memory used by all clients. #### Design The general design is as following: * We track memory usage of each client, taking into account all memory used by the client (query buffer, output buffer, parsed arguments, etc...). This is kept up to date after reading from the socket, after processing commands and after writing to the socket. * Based on the used memory we sort all clients into buckets. Each bucket contains all clients using up up to x2 memory of the clients in the bucket below it. For example up to 1m clients, up to 2m clients, up to 4m clients, ... * Before processing a command and before sleep we check if we're over the configured limit. If we are we start disconnecting clients from larger buckets downwards until we're under the limit. #### Config `maxmemory-clients` max memory all clients are allowed to consume, above this threshold we disconnect clients. This config can either be set to 0 (meaning no limit), a size in bytes (possibly with MB/GB suffix), or as a percentage of `maxmemory` by using the `%` suffix (e.g. setting it to `10%` would mean 10% of `maxmemory`). #### Important code changes * During the development I encountered yet more situations where our io-threads access global vars. And needed to fix them. I also had to handle keeps the clients sorted into the memory buckets (which are global) while their memory usage changes in the io-thread. To achieve this I decided to simplify how we check if we're in an io-thread and make it much more explicit. I removed the `CLIENT_PENDING_READ` flag used for checking if the client is in an io-thread (it wasn't used for anything else) and just used the global `io_threads_op` variable the same way to check during writes. * I optimized the cleanup of the client from the `clients_pending_read` list on client freeing. We now store a pointer in the `client` struct to this list so we don't need to search in it (`pending_read_list_node`). * Added `evicted_clients` stat to `INFO` command. * Added `CLIENT NO-EVICT ON|OFF` sub command to exclude a specific client from the client eviction mechanism. Added corrosponding 'e' flag in the client info string. * Added `multi-mem` field in the client info string to show how much memory is used up by buffered multi commands. * Client `tot-mem` now accounts for buffered multi-commands, pubsub patterns and channels (partially), tracking prefixes (partially). * CLIENT_CLOSE_ASAP flag is now handled in a new `beforeNextClient()` function so clients will be disconnected between processing different clients and not only before sleep. This new function can be used in the future for work we want to do outside the command processing loop but don't want to wait for all clients to be processed before we get to it. Specifically I wanted to handle output-buffer-limit related closing before we process client eviction in case the two race with each other. * Added a `DEBUG CLIENT-EVICTION` command to print out info about the client eviction buckets. * Each client now holds a pointer to the client eviction memory usage bucket it belongs to and listNode to itself in that bucket for quick removal. * Global `io_threads_op` variable now can contain a `IO_THREADS_OP_IDLE` value indicating no io-threading is currently being executed. * In order to track memory used by each clients in real-time we can't rely on updating these stats in `clientsCron()` alone anymore. So now I call `updateClientMemUsage()` (used to be `clientsCronTrackClientsMemUsage()`) after command processing, after writing data to pubsub clients, after writing the output buffer and after reading from the socket (and maybe other places too). The function is written to be fast. * Clients are evicted if needed (with appropriate log line) in `beforeSleep()` and before processing a command (before performing oom-checks and key-eviction). * All clients memory usage buckets are grouped as follows: * All clients using less than 64k. * 64K..128K * 128K..256K * ... * 2G..4G * All clients using 4g and up. * Added client-eviction.tcl with a bunch of tests for the new mechanism. * Extended maxmemory.tcl to test the interaction between maxmemory and maxmemory-clients settings. * Added an option to flag a numeric configuration variable as a "percent", this means that if we encounter a '%' after the number in the config file (or config set command) we consider it as valid. Such a number is store internally as a negative value. This way an integer value can be interpreted as either a percent (negative) or absolute value (positive). This is useful for example if some numeric configuration can optionally be set to a percentage of something else. Co-authored-by: Oran Agra <oran@redislabs.com>
2021-09-23 07:02:16 -04:00
foreach rr $clients {
$rr close
}
set clients {}
test "eviction due to input buffer of a dead client, client eviction: $client_eviction" {
init_test $client_eviction
for {set j 0} {$j < 30} {incr j} {
set rr [redis_deferring_client]
lappend clients $rr
}
foreach rr $clients {
if {[catch {
$rr write "*250\r\n"
for {set j 0} {$j < 249} {incr j} {
$rr write "\$1000\r\n"
$rr write [string repeat x 1000]
$rr write "\r\n"
$rr flush
}
}]} {
lremove clients $rr
}
}
verify_eviction_test $client_eviction
Client eviction (#8687) ### Description A mechanism for disconnecting clients when the sum of all connected clients is above a configured limit. This prevents eviction or OOM caused by accumulated used memory between all clients. It's a complimentary mechanism to the `client-output-buffer-limit` mechanism which takes into account not only a single client and not only output buffers but rather all memory used by all clients. #### Design The general design is as following: * We track memory usage of each client, taking into account all memory used by the client (query buffer, output buffer, parsed arguments, etc...). This is kept up to date after reading from the socket, after processing commands and after writing to the socket. * Based on the used memory we sort all clients into buckets. Each bucket contains all clients using up up to x2 memory of the clients in the bucket below it. For example up to 1m clients, up to 2m clients, up to 4m clients, ... * Before processing a command and before sleep we check if we're over the configured limit. If we are we start disconnecting clients from larger buckets downwards until we're under the limit. #### Config `maxmemory-clients` max memory all clients are allowed to consume, above this threshold we disconnect clients. This config can either be set to 0 (meaning no limit), a size in bytes (possibly with MB/GB suffix), or as a percentage of `maxmemory` by using the `%` suffix (e.g. setting it to `10%` would mean 10% of `maxmemory`). #### Important code changes * During the development I encountered yet more situations where our io-threads access global vars. And needed to fix them. I also had to handle keeps the clients sorted into the memory buckets (which are global) while their memory usage changes in the io-thread. To achieve this I decided to simplify how we check if we're in an io-thread and make it much more explicit. I removed the `CLIENT_PENDING_READ` flag used for checking if the client is in an io-thread (it wasn't used for anything else) and just used the global `io_threads_op` variable the same way to check during writes. * I optimized the cleanup of the client from the `clients_pending_read` list on client freeing. We now store a pointer in the `client` struct to this list so we don't need to search in it (`pending_read_list_node`). * Added `evicted_clients` stat to `INFO` command. * Added `CLIENT NO-EVICT ON|OFF` sub command to exclude a specific client from the client eviction mechanism. Added corrosponding 'e' flag in the client info string. * Added `multi-mem` field in the client info string to show how much memory is used up by buffered multi commands. * Client `tot-mem` now accounts for buffered multi-commands, pubsub patterns and channels (partially), tracking prefixes (partially). * CLIENT_CLOSE_ASAP flag is now handled in a new `beforeNextClient()` function so clients will be disconnected between processing different clients and not only before sleep. This new function can be used in the future for work we want to do outside the command processing loop but don't want to wait for all clients to be processed before we get to it. Specifically I wanted to handle output-buffer-limit related closing before we process client eviction in case the two race with each other. * Added a `DEBUG CLIENT-EVICTION` command to print out info about the client eviction buckets. * Each client now holds a pointer to the client eviction memory usage bucket it belongs to and listNode to itself in that bucket for quick removal. * Global `io_threads_op` variable now can contain a `IO_THREADS_OP_IDLE` value indicating no io-threading is currently being executed. * In order to track memory used by each clients in real-time we can't rely on updating these stats in `clientsCron()` alone anymore. So now I call `updateClientMemUsage()` (used to be `clientsCronTrackClientsMemUsage()`) after command processing, after writing data to pubsub clients, after writing the output buffer and after reading from the socket (and maybe other places too). The function is written to be fast. * Clients are evicted if needed (with appropriate log line) in `beforeSleep()` and before processing a command (before performing oom-checks and key-eviction). * All clients memory usage buckets are grouped as follows: * All clients using less than 64k. * 64K..128K * 128K..256K * ... * 2G..4G * All clients using 4g and up. * Added client-eviction.tcl with a bunch of tests for the new mechanism. * Extended maxmemory.tcl to test the interaction between maxmemory and maxmemory-clients settings. * Added an option to flag a numeric configuration variable as a "percent", this means that if we encounter a '%' after the number in the config file (or config set command) we consider it as valid. Such a number is store internally as a negative value. This way an integer value can be interpreted as either a percent (negative) or absolute value (positive). This is useful for example if some numeric configuration can optionally be set to a percentage of something else. Co-authored-by: Oran Agra <oran@redislabs.com>
2021-09-23 07:02:16 -04:00
}
foreach rr $clients {
$rr close
}
set clients {}
test "eviction due to output buffers of pubsub, client eviction: $client_eviction" {
init_test $client_eviction
for {set j 0} {$j < 20} {incr j} {
set rr [redis_client]
Client eviction (#8687) ### Description A mechanism for disconnecting clients when the sum of all connected clients is above a configured limit. This prevents eviction or OOM caused by accumulated used memory between all clients. It's a complimentary mechanism to the `client-output-buffer-limit` mechanism which takes into account not only a single client and not only output buffers but rather all memory used by all clients. #### Design The general design is as following: * We track memory usage of each client, taking into account all memory used by the client (query buffer, output buffer, parsed arguments, etc...). This is kept up to date after reading from the socket, after processing commands and after writing to the socket. * Based on the used memory we sort all clients into buckets. Each bucket contains all clients using up up to x2 memory of the clients in the bucket below it. For example up to 1m clients, up to 2m clients, up to 4m clients, ... * Before processing a command and before sleep we check if we're over the configured limit. If we are we start disconnecting clients from larger buckets downwards until we're under the limit. #### Config `maxmemory-clients` max memory all clients are allowed to consume, above this threshold we disconnect clients. This config can either be set to 0 (meaning no limit), a size in bytes (possibly with MB/GB suffix), or as a percentage of `maxmemory` by using the `%` suffix (e.g. setting it to `10%` would mean 10% of `maxmemory`). #### Important code changes * During the development I encountered yet more situations where our io-threads access global vars. And needed to fix them. I also had to handle keeps the clients sorted into the memory buckets (which are global) while their memory usage changes in the io-thread. To achieve this I decided to simplify how we check if we're in an io-thread and make it much more explicit. I removed the `CLIENT_PENDING_READ` flag used for checking if the client is in an io-thread (it wasn't used for anything else) and just used the global `io_threads_op` variable the same way to check during writes. * I optimized the cleanup of the client from the `clients_pending_read` list on client freeing. We now store a pointer in the `client` struct to this list so we don't need to search in it (`pending_read_list_node`). * Added `evicted_clients` stat to `INFO` command. * Added `CLIENT NO-EVICT ON|OFF` sub command to exclude a specific client from the client eviction mechanism. Added corrosponding 'e' flag in the client info string. * Added `multi-mem` field in the client info string to show how much memory is used up by buffered multi commands. * Client `tot-mem` now accounts for buffered multi-commands, pubsub patterns and channels (partially), tracking prefixes (partially). * CLIENT_CLOSE_ASAP flag is now handled in a new `beforeNextClient()` function so clients will be disconnected between processing different clients and not only before sleep. This new function can be used in the future for work we want to do outside the command processing loop but don't want to wait for all clients to be processed before we get to it. Specifically I wanted to handle output-buffer-limit related closing before we process client eviction in case the two race with each other. * Added a `DEBUG CLIENT-EVICTION` command to print out info about the client eviction buckets. * Each client now holds a pointer to the client eviction memory usage bucket it belongs to and listNode to itself in that bucket for quick removal. * Global `io_threads_op` variable now can contain a `IO_THREADS_OP_IDLE` value indicating no io-threading is currently being executed. * In order to track memory used by each clients in real-time we can't rely on updating these stats in `clientsCron()` alone anymore. So now I call `updateClientMemUsage()` (used to be `clientsCronTrackClientsMemUsage()`) after command processing, after writing data to pubsub clients, after writing the output buffer and after reading from the socket (and maybe other places too). The function is written to be fast. * Clients are evicted if needed (with appropriate log line) in `beforeSleep()` and before processing a command (before performing oom-checks and key-eviction). * All clients memory usage buckets are grouped as follows: * All clients using less than 64k. * 64K..128K * 128K..256K * ... * 2G..4G * All clients using 4g and up. * Added client-eviction.tcl with a bunch of tests for the new mechanism. * Extended maxmemory.tcl to test the interaction between maxmemory and maxmemory-clients settings. * Added an option to flag a numeric configuration variable as a "percent", this means that if we encounter a '%' after the number in the config file (or config set command) we consider it as valid. Such a number is store internally as a negative value. This way an integer value can be interpreted as either a percent (negative) or absolute value (positive). This is useful for example if some numeric configuration can optionally be set to a percentage of something else. Co-authored-by: Oran Agra <oran@redislabs.com>
2021-09-23 07:02:16 -04:00
lappend clients $rr
}
foreach rr $clients {
$rr subscribe bla
}
# Generate client output buffers via PUBLISH until we can observe some effect on
# keys / client eviction, or we time out.
set bigstr [string repeat x 100000]
set t [clock seconds]
while {![check_eviction_test $client_eviction] && [expr [clock seconds] - $t] < 20} {
if {[catch { r publish bla $bigstr } err]} {
if $::verbose {
puts "Error publishing: $err"
}
}
Client eviction (#8687) ### Description A mechanism for disconnecting clients when the sum of all connected clients is above a configured limit. This prevents eviction or OOM caused by accumulated used memory between all clients. It's a complimentary mechanism to the `client-output-buffer-limit` mechanism which takes into account not only a single client and not only output buffers but rather all memory used by all clients. #### Design The general design is as following: * We track memory usage of each client, taking into account all memory used by the client (query buffer, output buffer, parsed arguments, etc...). This is kept up to date after reading from the socket, after processing commands and after writing to the socket. * Based on the used memory we sort all clients into buckets. Each bucket contains all clients using up up to x2 memory of the clients in the bucket below it. For example up to 1m clients, up to 2m clients, up to 4m clients, ... * Before processing a command and before sleep we check if we're over the configured limit. If we are we start disconnecting clients from larger buckets downwards until we're under the limit. #### Config `maxmemory-clients` max memory all clients are allowed to consume, above this threshold we disconnect clients. This config can either be set to 0 (meaning no limit), a size in bytes (possibly with MB/GB suffix), or as a percentage of `maxmemory` by using the `%` suffix (e.g. setting it to `10%` would mean 10% of `maxmemory`). #### Important code changes * During the development I encountered yet more situations where our io-threads access global vars. And needed to fix them. I also had to handle keeps the clients sorted into the memory buckets (which are global) while their memory usage changes in the io-thread. To achieve this I decided to simplify how we check if we're in an io-thread and make it much more explicit. I removed the `CLIENT_PENDING_READ` flag used for checking if the client is in an io-thread (it wasn't used for anything else) and just used the global `io_threads_op` variable the same way to check during writes. * I optimized the cleanup of the client from the `clients_pending_read` list on client freeing. We now store a pointer in the `client` struct to this list so we don't need to search in it (`pending_read_list_node`). * Added `evicted_clients` stat to `INFO` command. * Added `CLIENT NO-EVICT ON|OFF` sub command to exclude a specific client from the client eviction mechanism. Added corrosponding 'e' flag in the client info string. * Added `multi-mem` field in the client info string to show how much memory is used up by buffered multi commands. * Client `tot-mem` now accounts for buffered multi-commands, pubsub patterns and channels (partially), tracking prefixes (partially). * CLIENT_CLOSE_ASAP flag is now handled in a new `beforeNextClient()` function so clients will be disconnected between processing different clients and not only before sleep. This new function can be used in the future for work we want to do outside the command processing loop but don't want to wait for all clients to be processed before we get to it. Specifically I wanted to handle output-buffer-limit related closing before we process client eviction in case the two race with each other. * Added a `DEBUG CLIENT-EVICTION` command to print out info about the client eviction buckets. * Each client now holds a pointer to the client eviction memory usage bucket it belongs to and listNode to itself in that bucket for quick removal. * Global `io_threads_op` variable now can contain a `IO_THREADS_OP_IDLE` value indicating no io-threading is currently being executed. * In order to track memory used by each clients in real-time we can't rely on updating these stats in `clientsCron()` alone anymore. So now I call `updateClientMemUsage()` (used to be `clientsCronTrackClientsMemUsage()`) after command processing, after writing data to pubsub clients, after writing the output buffer and after reading from the socket (and maybe other places too). The function is written to be fast. * Clients are evicted if needed (with appropriate log line) in `beforeSleep()` and before processing a command (before performing oom-checks and key-eviction). * All clients memory usage buckets are grouped as follows: * All clients using less than 64k. * 64K..128K * 128K..256K * ... * 2G..4G * All clients using 4g and up. * Added client-eviction.tcl with a bunch of tests for the new mechanism. * Extended maxmemory.tcl to test the interaction between maxmemory and maxmemory-clients settings. * Added an option to flag a numeric configuration variable as a "percent", this means that if we encounter a '%' after the number in the config file (or config set command) we consider it as valid. Such a number is store internally as a negative value. This way an integer value can be interpreted as either a percent (negative) or absolute value (positive). This is useful for example if some numeric configuration can optionally be set to a percentage of something else. Co-authored-by: Oran Agra <oran@redislabs.com>
2021-09-23 07:02:16 -04:00
}
verify_eviction_test $client_eviction
Client eviction (#8687) ### Description A mechanism for disconnecting clients when the sum of all connected clients is above a configured limit. This prevents eviction or OOM caused by accumulated used memory between all clients. It's a complimentary mechanism to the `client-output-buffer-limit` mechanism which takes into account not only a single client and not only output buffers but rather all memory used by all clients. #### Design The general design is as following: * We track memory usage of each client, taking into account all memory used by the client (query buffer, output buffer, parsed arguments, etc...). This is kept up to date after reading from the socket, after processing commands and after writing to the socket. * Based on the used memory we sort all clients into buckets. Each bucket contains all clients using up up to x2 memory of the clients in the bucket below it. For example up to 1m clients, up to 2m clients, up to 4m clients, ... * Before processing a command and before sleep we check if we're over the configured limit. If we are we start disconnecting clients from larger buckets downwards until we're under the limit. #### Config `maxmemory-clients` max memory all clients are allowed to consume, above this threshold we disconnect clients. This config can either be set to 0 (meaning no limit), a size in bytes (possibly with MB/GB suffix), or as a percentage of `maxmemory` by using the `%` suffix (e.g. setting it to `10%` would mean 10% of `maxmemory`). #### Important code changes * During the development I encountered yet more situations where our io-threads access global vars. And needed to fix them. I also had to handle keeps the clients sorted into the memory buckets (which are global) while their memory usage changes in the io-thread. To achieve this I decided to simplify how we check if we're in an io-thread and make it much more explicit. I removed the `CLIENT_PENDING_READ` flag used for checking if the client is in an io-thread (it wasn't used for anything else) and just used the global `io_threads_op` variable the same way to check during writes. * I optimized the cleanup of the client from the `clients_pending_read` list on client freeing. We now store a pointer in the `client` struct to this list so we don't need to search in it (`pending_read_list_node`). * Added `evicted_clients` stat to `INFO` command. * Added `CLIENT NO-EVICT ON|OFF` sub command to exclude a specific client from the client eviction mechanism. Added corrosponding 'e' flag in the client info string. * Added `multi-mem` field in the client info string to show how much memory is used up by buffered multi commands. * Client `tot-mem` now accounts for buffered multi-commands, pubsub patterns and channels (partially), tracking prefixes (partially). * CLIENT_CLOSE_ASAP flag is now handled in a new `beforeNextClient()` function so clients will be disconnected between processing different clients and not only before sleep. This new function can be used in the future for work we want to do outside the command processing loop but don't want to wait for all clients to be processed before we get to it. Specifically I wanted to handle output-buffer-limit related closing before we process client eviction in case the two race with each other. * Added a `DEBUG CLIENT-EVICTION` command to print out info about the client eviction buckets. * Each client now holds a pointer to the client eviction memory usage bucket it belongs to and listNode to itself in that bucket for quick removal. * Global `io_threads_op` variable now can contain a `IO_THREADS_OP_IDLE` value indicating no io-threading is currently being executed. * In order to track memory used by each clients in real-time we can't rely on updating these stats in `clientsCron()` alone anymore. So now I call `updateClientMemUsage()` (used to be `clientsCronTrackClientsMemUsage()`) after command processing, after writing data to pubsub clients, after writing the output buffer and after reading from the socket (and maybe other places too). The function is written to be fast. * Clients are evicted if needed (with appropriate log line) in `beforeSleep()` and before processing a command (before performing oom-checks and key-eviction). * All clients memory usage buckets are grouped as follows: * All clients using less than 64k. * 64K..128K * 128K..256K * ... * 2G..4G * All clients using 4g and up. * Added client-eviction.tcl with a bunch of tests for the new mechanism. * Extended maxmemory.tcl to test the interaction between maxmemory and maxmemory-clients settings. * Added an option to flag a numeric configuration variable as a "percent", this means that if we encounter a '%' after the number in the config file (or config set command) we consider it as valid. Such a number is store internally as a negative value. This way an integer value can be interpreted as either a percent (negative) or absolute value (positive). This is useful for example if some numeric configuration can optionally be set to a percentage of something else. Co-authored-by: Oran Agra <oran@redislabs.com>
2021-09-23 07:02:16 -04:00
}
foreach rr $clients {
$rr close
}
}
}
Improve test suite to handle external servers better. (#9033) This commit revives the improves the ability to run the test suite against external servers, instead of launching and managing `redis-server` processes as part of the test fixture. This capability existed in the past, using the `--host` and `--port` options. However, it was quite limited and mostly useful when running a specific tests. Attempting to run larger chunks of the test suite experienced many issues: * Many tests depend on being able to start and control `redis-server` themselves, and there's no clear distinction between external server compatible and other tests. * Cluster mode is not supported (resulting with `CROSSSLOT` errors). This PR cleans up many things and makes it possible to run the entire test suite against an external server. It also provides more fine grained controls to handle cases where the external server supports a subset of the Redis commands, limited number of databases, cluster mode, etc. The tests directory now contains a `README.md` file that describes how this works. This commit also includes additional cleanups and fixes: * Tests can now be tagged. * Tag-based selection is now unified across `start_server`, `tags` and `test`. * More information is provided about skipped or ignored tests. * Repeated patterns in tests have been extracted to common procedures, both at a global level and on a per-test file basis. * Cleaned up some cases where test setup was based on a previous test executing (a major anti-pattern that repeats itself in many places). * Cleaned up some cases where test teardown was not part of a test (in the future we should have dedicated teardown code that executes even when tests fail). * Fixed some tests that were flaky running on external servers.
2021-06-09 08:13:24 -04:00
start_server {tags {"maxmemory external:skip"}} {
test "Without maxmemory small integers are shared" {
r config set maxmemory 0
r set a 1
assert {[r object refcount a] > 1}
}
test "With maxmemory and non-LRU policy integers are still shared" {
r config set maxmemory 1073741824
r config set maxmemory-policy allkeys-random
r set a 1
assert {[r object refcount a] > 1}
}
test "With maxmemory and LRU policy integers are not shared" {
r config set maxmemory 1073741824
r config set maxmemory-policy allkeys-lru
r set a 1
r config set maxmemory-policy volatile-lru
r set b 1
assert {[r object refcount a] == 1}
assert {[r object refcount b] == 1}
r config set maxmemory 0
}
2011-07-28 06:32:52 -04:00
foreach policy {
allkeys-random allkeys-lru allkeys-lfu volatile-lru volatile-lfu volatile-random volatile-ttl
2011-07-28 06:32:52 -04:00
} {
test "maxmemory - is the memory limit honoured? (policy $policy)" {
# make sure to start with a blank instance
2014-07-31 14:39:49 -04:00
r flushall
2011-07-28 06:32:52 -04:00
# Get the current memory limit and calculate a new limit.
# We just add 100k to the current memory size so that it is
# fast for us to reach that limit.
set used [s used_memory]
set limit [expr {$used+100*1024}]
r config set maxmemory $limit
r config set maxmemory-policy $policy
# Now add keys until the limit is almost reached.
set numkeys 0
while 1 {
r setex [randomKey] 10000 x
incr numkeys
if {[s used_memory]+4096 > $limit} {
assert {$numkeys > 10}
break
}
}
# If we add the same number of keys already added again, we
# should still be under the limit.
for {set j 0} {$j < $numkeys} {incr j} {
r setex [randomKey] 10000 x
}
assert {[s used_memory] < ($limit+4096)}
}
}
foreach policy {
allkeys-random allkeys-lru volatile-lru volatile-random volatile-ttl
} {
test "maxmemory - only allkeys-* should remove non-volatile keys ($policy)" {
# make sure to start with a blank instance
2014-07-31 14:39:49 -04:00
r flushall
2011-07-28 06:32:52 -04:00
# Get the current memory limit and calculate a new limit.
# We just add 100k to the current memory size so that it is
# fast for us to reach that limit.
set used [s used_memory]
set limit [expr {$used+100*1024}]
r config set maxmemory $limit
r config set maxmemory-policy $policy
# Now add keys until the limit is almost reached.
set numkeys 0
while 1 {
r set [randomKey] x
incr numkeys
if {[s used_memory]+4096 > $limit} {
assert {$numkeys > 10}
break
}
}
# If we add the same number of keys already added again and
# the policy is allkeys-* we should still be under the limit.
# Otherwise we should see an error reported by Redis.
set err 0
for {set j 0} {$j < $numkeys} {incr j} {
if {[catch {r set [randomKey] x} e]} {
if {[string match {*used memory*} $e]} {
set err 1
}
}
}
if {[string match allkeys-* $policy]} {
assert {[s used_memory] < ($limit+4096)}
} else {
assert {$err == 1}
}
}
}
foreach policy {
volatile-lru volatile-lfu volatile-random volatile-ttl
2011-07-28 06:32:52 -04:00
} {
test "maxmemory - policy $policy should only remove volatile keys." {
# make sure to start with a blank instance
2014-07-31 14:39:49 -04:00
r flushall
2011-07-28 06:32:52 -04:00
# Get the current memory limit and calculate a new limit.
# We just add 100k to the current memory size so that it is
# fast for us to reach that limit.
set used [s used_memory]
set limit [expr {$used+100*1024}]
r config set maxmemory $limit
r config set maxmemory-policy $policy
# Now add keys until the limit is almost reached.
set numkeys 0
while 1 {
# Odd keys are volatile
# Even keys are non volatile
if {$numkeys % 2} {
r setex "key:$numkeys" 10000 x
} else {
r set "key:$numkeys" x
}
if {[s used_memory]+4096 > $limit} {
assert {$numkeys > 10}
break
}
incr numkeys
}
# Now we add the same number of volatile keys already added.
# We expect Redis to evict only volatile keys in order to make
# space.
set err 0
for {set j 0} {$j < $numkeys} {incr j} {
catch {r setex "foo:$j" 10000 x}
}
# We should still be under the limit.
assert {[s used_memory] < ($limit+4096)}
# However all our non volatile keys should be here.
for {set j 0} {$j < $numkeys} {incr j 2} {
assert {[r exists "key:$j"]}
}
}
}
}
# Calculate query buffer memory of slave
proc slave_query_buffer {srv} {
set clients [split [$srv client list] "\r\n"]
set c [lsearch -inline $clients *flags=S*]
if {[string length $c] > 0} {
assert {[regexp {qbuf=([0-9]+)} $c - qbuf]}
assert {[regexp {qbuf-free=([0-9]+)} $c - qbuf_free]}
return [expr $qbuf + $qbuf_free]
}
return 0
}
proc test_slave_buffers {test_name cmd_count payload_len limit_memory pipeline} {
Improve test suite to handle external servers better. (#9033) This commit revives the improves the ability to run the test suite against external servers, instead of launching and managing `redis-server` processes as part of the test fixture. This capability existed in the past, using the `--host` and `--port` options. However, it was quite limited and mostly useful when running a specific tests. Attempting to run larger chunks of the test suite experienced many issues: * Many tests depend on being able to start and control `redis-server` themselves, and there's no clear distinction between external server compatible and other tests. * Cluster mode is not supported (resulting with `CROSSSLOT` errors). This PR cleans up many things and makes it possible to run the entire test suite against an external server. It also provides more fine grained controls to handle cases where the external server supports a subset of the Redis commands, limited number of databases, cluster mode, etc. The tests directory now contains a `README.md` file that describes how this works. This commit also includes additional cleanups and fixes: * Tests can now be tagged. * Tag-based selection is now unified across `start_server`, `tags` and `test`. * More information is provided about skipped or ignored tests. * Repeated patterns in tests have been extracted to common procedures, both at a global level and on a per-test file basis. * Cleaned up some cases where test setup was based on a previous test executing (a major anti-pattern that repeats itself in many places). * Cleaned up some cases where test teardown was not part of a test (in the future we should have dedicated teardown code that executes even when tests fail). * Fixed some tests that were flaky running on external servers.
2021-06-09 08:13:24 -04:00
start_server {tags {"maxmemory external:skip"}} {
start_server {} {
set slave_pid [s process_id]
test "$test_name" {
set slave [srv 0 client]
set slave_host [srv 0 host]
set slave_port [srv 0 port]
set master [srv -1 client]
set master_host [srv -1 host]
set master_port [srv -1 port]
# Disable slow log for master to avoid memory growth in slow env.
$master config set slowlog-log-slower-than -1
# add 100 keys of 100k (10MB total)
for {set j 0} {$j < 100} {incr j} {
$master setrange "key:$j" 100000 asdf
}
# make sure master doesn't disconnect slave because of timeout
$master config set repl-timeout 1200 ;# 20 minutes (for valgrind and slow machines)
$master config set maxmemory-policy allkeys-random
$master config set client-output-buffer-limit "replica 100000000 100000000 300"
$master config set repl-backlog-size [expr {10*1024}]
Added INFO LATENCYSTATS section: latency by percentile distribution/latency by cumulative distribution of latencies (#9462) # Short description The Redis extended latency stats track per command latencies and enables: - exporting the per-command percentile distribution via the `INFO LATENCYSTATS` command. **( percentile distribution is not mergeable between cluster nodes ).** - exporting the per-command cumulative latency distributions via the `LATENCY HISTOGRAM` command. Using the cumulative distribution of latencies we can merge several stats from different cluster nodes to calculate aggregate metrics . By default, the extended latency monitoring is enabled since the overhead of keeping track of the command latency is very small. If you don't want to track extended latency metrics, you can easily disable it at runtime using the command: - `CONFIG SET latency-tracking no` By default, the exported latency percentiles are the p50, p99, and p999. You can alter them at runtime using the command: - `CONFIG SET latency-tracking-info-percentiles "0.0 50.0 100.0"` ## Some details: - The total size per histogram should sit around 40 KiB. We only allocate those 40KiB when a command was called for the first time. - With regards to the WRITE overhead As seen below, there is no measurable overhead on the achievable ops/sec or full latency spectrum on the client. Including also the measured redis-benchmark for unstable vs this branch. - We track from 1 nanosecond to 1 second ( everything above 1 second is considered +Inf ) ## `INFO LATENCYSTATS` exposition format - Format: `latency_percentiles_usec_<CMDNAME>:p0=XX,p50....` ## `LATENCY HISTOGRAM [command ...]` exposition format Return a cumulative distribution of latencies in the format of a histogram for the specified command names. The histogram is composed of a map of time buckets: - Each representing a latency range, between 1 nanosecond and roughly 1 second. - Each bucket covers twice the previous bucket's range. - Empty buckets are not printed. - Everything above 1 sec is considered +Inf. - At max there will be log2(1000000000)=30 buckets We reply a map for each command in the format: `<command name> : { `calls`: <total command calls> , `histogram` : { <bucket 1> : latency , < bucket 2> : latency, ... } }` Co-authored-by: Oran Agra <oran@redislabs.com>
2022-01-05 07:01:05 -05:00
# disable latency tracking
$master config set latency-tracking no
$slave config set latency-tracking no
$slave slaveof $master_host $master_port
wait_for_condition 50 100 {
[s 0 master_link_status] eq {up}
} else {
fail "Replication not started."
}
# measure used memory after the slave connected and set maxmemory
set orig_used [s -1 used_memory]
set orig_client_buf [s -1 mem_clients_normal]
set orig_mem_not_counted_for_evict [s -1 mem_not_counted_for_evict]
set orig_used_no_repl [expr {$orig_used - $orig_mem_not_counted_for_evict}]
set limit [expr {$orig_used - $orig_mem_not_counted_for_evict + 32*1024}]
if {$limit_memory==1} {
$master config set maxmemory $limit
}
# put the slave to sleep
set rd_slave [redis_deferring_client]
exec kill -SIGSTOP $slave_pid
# send some 10mb worth of commands that don't increase the memory usage
if {$pipeline == 1} {
set rd_master [redis_deferring_client -1]
for {set k 0} {$k < $cmd_count} {incr k} {
$rd_master setrange key:0 0 [string repeat A $payload_len]
}
for {set k 0} {$k < $cmd_count} {incr k} {
Replication backlog and replicas use one global shared replication buffer (#9166) ## Background For redis master, one replica uses one copy of replication buffer, that is a big waste of memory, more replicas more waste, and allocate/free memory for every reply list also cost much. If we set client-output-buffer-limit small and write traffic is heavy, master may disconnect with replicas and can't finish synchronization with replica. If we set client-output-buffer-limit big, master may be OOM when there are many replicas that separately keep much memory. Because replication buffers of different replica client are the same, one simple idea is that all replicas only use one replication buffer, that will effectively save memory. Since replication backlog content is the same as replicas' output buffer, now we can discard replication backlog memory and use global shared replication buffer to implement replication backlog mechanism. ## Implementation I create one global "replication buffer" which contains content of replication stream. The structure of "replication buffer" is similar to the reply list that exists in every client. But the node of list is `replBufBlock`, which has `id, repl_offset, refcount` fields. ```c /* Replication buffer blocks is the list of replBufBlock. * * +--------------+ +--------------+ +--------------+ * | refcount = 1 | ... | refcount = 0 | ... | refcount = 2 | * +--------------+ +--------------+ +--------------+ * | / \ * | / \ * | / \ * Repl Backlog Replia_A Replia_B * * Each replica or replication backlog increments only the refcount of the * 'ref_repl_buf_node' which it points to. So when replica walks to the next * node, it should first increase the next node's refcount, and when we trim * the replication buffer nodes, we remove node always from the head node which * refcount is 0. If the refcount of the head node is not 0, we must stop * trimming and never iterate the next node. */ /* Similar with 'clientReplyBlock', it is used for shared buffers between * all replica clients and replication backlog. */ typedef struct replBufBlock { int refcount; /* Number of replicas or repl backlog using. */ long long id; /* The unique incremental number. */ long long repl_offset; /* Start replication offset of the block. */ size_t size, used; char buf[]; } replBufBlock; ``` So now when we feed replication stream into replication backlog and all replicas, we only need to feed stream into replication buffer `feedReplicationBuffer`. In this function, we set some fields of replication backlog and replicas to references of the global replication buffer blocks. And we also need to check replicas' output buffer limit to free if exceeding `client-output-buffer-limit`, and trim replication backlog if exceeding `repl-backlog-size`. When sending reply to replicas, we also need to iterate replication buffer blocks and send its content, when totally sending one block for replica, we decrease current node count and increase the next current node count, and then free the block which reference is 0 from the head of replication buffer blocks. Since now we use linked list to manage replication backlog, it may cost much time for iterating all linked list nodes to find corresponding replication buffer node. So we create a rax tree to store some nodes for index, but to avoid rax tree occupying too much memory, i record one per 64 nodes for index. Currently, to make partial resynchronization as possible as much, we always let replication backlog as the last reference of replication buffer blocks, backlog size may exceeds our setting if slow replicas that reference vast replication buffer blocks, and this method doesn't increase memory usage since they share replication buffer. To avoid freezing server for freeing unreferenced replication buffer blocks when we need to trim backlog for exceeding backlog size setting, we trim backlog incrementally (free 64 blocks per call now), and make it faster in `beforeSleep` (free 640 blocks). ### Other changes - `mem_total_replication_buffers`: we add this field in INFO command, it means the total memory of replication buffers used. - `mem_clients_slaves`: now even replica is slow to replicate, and its output buffer memory is not 0, but it still may be 0, since replication backlog and replicas share one global replication buffer, only if replication buffer memory is more than the repl backlog setting size, we consider the excess as replicas' memory. Otherwise, we think replication buffer memory is the consumption of repl backlog. - Key eviction Since all replicas and replication backlog share global replication buffer, we think only the part of exceeding backlog size the extra separate consumption of replicas. Because we trim backlog incrementally in the background, backlog size may exceeds our setting if slow replicas that reference vast replication buffer blocks disconnect. To avoid massive eviction loop, we don't count the delayed freed replication backlog into used memory even if there are no replicas, i.e. we also regard this memory as replicas's memory. - `client-output-buffer-limit` check for replica clients It doesn't make sense to set the replica clients output buffer limit lower than the repl-backlog-size config (partial sync will succeed and then replica will get disconnected). Such a configuration is ignored (the size of repl-backlog-size will be used). This doesn't have memory consumption implications since the replica client will share the backlog buffers memory. - Drop replication backlog after loading data if needed We always create replication backlog if server is a master, we need it because we put DELs in it when loading expired keys in RDB, but if RDB doesn't have replication info or there is no rdb, it is not possible to support partial resynchronization, to avoid extra memory of replication backlog, we drop it. - Multi IO threads Since all replicas and replication backlog use global replication buffer, if I/O threads are enabled, to guarantee data accessing thread safe, we must let main thread handle sending the output buffer to all replicas. But before, other IO threads could handle sending output buffer of all replicas. ## Other optimizations This solution resolve some other problem: - When replicas disconnect with master since of out of output buffer limit, releasing the output buffer of replicas may freeze server if we set big `client-output-buffer-limit` for replicas, but now, it doesn't cause freezing. - This implementation may mitigate reply list copy cost time(also freezes server) when one replication has huge reply buffer and another replica can copy buffer for full synchronization. now, we just copy reference info, it is very light. - If we set replication backlog size big, it also may cost much time to copy replication backlog into replica's output buffer. But this commit eliminates this problem. - Resizing replication backlog size doesn't empty current replication backlog content.
2021-10-25 02:24:31 -04:00
$rd_master read
}
} else {
for {set k 0} {$k < $cmd_count} {incr k} {
$master setrange key:0 0 [string repeat A $payload_len]
}
}
set new_used [s -1 used_memory]
set slave_buf [s -1 mem_clients_slaves]
set client_buf [s -1 mem_clients_normal]
set mem_not_counted_for_evict [s -1 mem_not_counted_for_evict]
set used_no_repl [expr {$new_used - $mem_not_counted_for_evict - [slave_query_buffer $master]}]
# we need to exclude replies buffer and query buffer of replica from used memory.
# removing the replica (output) buffers is done so that we are able to measure any other
# changes to the used memory and see that they're insignificant (the test's purpose is to check that
# the replica buffers are counted correctly, so the used memory growth after deducting them
# should be nearly 0).
# we remove the query buffers because on slow test platforms, they can accumulate many ACKs.
set delta [expr {($used_no_repl - $client_buf) - ($orig_used_no_repl - $orig_client_buf)}]
assert {[$master dbsize] == 100}
assert {$slave_buf > 2*1024*1024} ;# some of the data may have been pushed to the OS buffers
set delta_max [expr {$cmd_count / 2}] ;# 1 byte unaccounted for, with 1M commands will consume some 1MB
assert {$delta < $delta_max && $delta > -$delta_max}
$master client kill type slave
Replication backlog and replicas use one global shared replication buffer (#9166) ## Background For redis master, one replica uses one copy of replication buffer, that is a big waste of memory, more replicas more waste, and allocate/free memory for every reply list also cost much. If we set client-output-buffer-limit small and write traffic is heavy, master may disconnect with replicas and can't finish synchronization with replica. If we set client-output-buffer-limit big, master may be OOM when there are many replicas that separately keep much memory. Because replication buffers of different replica client are the same, one simple idea is that all replicas only use one replication buffer, that will effectively save memory. Since replication backlog content is the same as replicas' output buffer, now we can discard replication backlog memory and use global shared replication buffer to implement replication backlog mechanism. ## Implementation I create one global "replication buffer" which contains content of replication stream. The structure of "replication buffer" is similar to the reply list that exists in every client. But the node of list is `replBufBlock`, which has `id, repl_offset, refcount` fields. ```c /* Replication buffer blocks is the list of replBufBlock. * * +--------------+ +--------------+ +--------------+ * | refcount = 1 | ... | refcount = 0 | ... | refcount = 2 | * +--------------+ +--------------+ +--------------+ * | / \ * | / \ * | / \ * Repl Backlog Replia_A Replia_B * * Each replica or replication backlog increments only the refcount of the * 'ref_repl_buf_node' which it points to. So when replica walks to the next * node, it should first increase the next node's refcount, and when we trim * the replication buffer nodes, we remove node always from the head node which * refcount is 0. If the refcount of the head node is not 0, we must stop * trimming and never iterate the next node. */ /* Similar with 'clientReplyBlock', it is used for shared buffers between * all replica clients and replication backlog. */ typedef struct replBufBlock { int refcount; /* Number of replicas or repl backlog using. */ long long id; /* The unique incremental number. */ long long repl_offset; /* Start replication offset of the block. */ size_t size, used; char buf[]; } replBufBlock; ``` So now when we feed replication stream into replication backlog and all replicas, we only need to feed stream into replication buffer `feedReplicationBuffer`. In this function, we set some fields of replication backlog and replicas to references of the global replication buffer blocks. And we also need to check replicas' output buffer limit to free if exceeding `client-output-buffer-limit`, and trim replication backlog if exceeding `repl-backlog-size`. When sending reply to replicas, we also need to iterate replication buffer blocks and send its content, when totally sending one block for replica, we decrease current node count and increase the next current node count, and then free the block which reference is 0 from the head of replication buffer blocks. Since now we use linked list to manage replication backlog, it may cost much time for iterating all linked list nodes to find corresponding replication buffer node. So we create a rax tree to store some nodes for index, but to avoid rax tree occupying too much memory, i record one per 64 nodes for index. Currently, to make partial resynchronization as possible as much, we always let replication backlog as the last reference of replication buffer blocks, backlog size may exceeds our setting if slow replicas that reference vast replication buffer blocks, and this method doesn't increase memory usage since they share replication buffer. To avoid freezing server for freeing unreferenced replication buffer blocks when we need to trim backlog for exceeding backlog size setting, we trim backlog incrementally (free 64 blocks per call now), and make it faster in `beforeSleep` (free 640 blocks). ### Other changes - `mem_total_replication_buffers`: we add this field in INFO command, it means the total memory of replication buffers used. - `mem_clients_slaves`: now even replica is slow to replicate, and its output buffer memory is not 0, but it still may be 0, since replication backlog and replicas share one global replication buffer, only if replication buffer memory is more than the repl backlog setting size, we consider the excess as replicas' memory. Otherwise, we think replication buffer memory is the consumption of repl backlog. - Key eviction Since all replicas and replication backlog share global replication buffer, we think only the part of exceeding backlog size the extra separate consumption of replicas. Because we trim backlog incrementally in the background, backlog size may exceeds our setting if slow replicas that reference vast replication buffer blocks disconnect. To avoid massive eviction loop, we don't count the delayed freed replication backlog into used memory even if there are no replicas, i.e. we also regard this memory as replicas's memory. - `client-output-buffer-limit` check for replica clients It doesn't make sense to set the replica clients output buffer limit lower than the repl-backlog-size config (partial sync will succeed and then replica will get disconnected). Such a configuration is ignored (the size of repl-backlog-size will be used). This doesn't have memory consumption implications since the replica client will share the backlog buffers memory. - Drop replication backlog after loading data if needed We always create replication backlog if server is a master, we need it because we put DELs in it when loading expired keys in RDB, but if RDB doesn't have replication info or there is no rdb, it is not possible to support partial resynchronization, to avoid extra memory of replication backlog, we drop it. - Multi IO threads Since all replicas and replication backlog use global replication buffer, if I/O threads are enabled, to guarantee data accessing thread safe, we must let main thread handle sending the output buffer to all replicas. But before, other IO threads could handle sending output buffer of all replicas. ## Other optimizations This solution resolve some other problem: - When replicas disconnect with master since of out of output buffer limit, releasing the output buffer of replicas may freeze server if we set big `client-output-buffer-limit` for replicas, but now, it doesn't cause freezing. - This implementation may mitigate reply list copy cost time(also freezes server) when one replication has huge reply buffer and another replica can copy buffer for full synchronization. now, we just copy reference info, it is very light. - If we set replication backlog size big, it also may cost much time to copy replication backlog into replica's output buffer. But this commit eliminates this problem. - Resizing replication backlog size doesn't empty current replication backlog content.
2021-10-25 02:24:31 -04:00
set info_str [$master info memory]
set killed_used [getInfoProperty $info_str used_memory]
set killed_mem_not_counted_for_evict [getInfoProperty $info_str mem_not_counted_for_evict]
set killed_slave_buf [s -1 mem_clients_slaves]
# we need to exclude replies buffer and query buffer of slave from used memory after kill slave
set killed_used_no_repl [expr {$killed_used - $killed_mem_not_counted_for_evict - [slave_query_buffer $master]}]
set delta_no_repl [expr {$killed_used_no_repl - $used_no_repl}]
Replication backlog and replicas use one global shared replication buffer (#9166) ## Background For redis master, one replica uses one copy of replication buffer, that is a big waste of memory, more replicas more waste, and allocate/free memory for every reply list also cost much. If we set client-output-buffer-limit small and write traffic is heavy, master may disconnect with replicas and can't finish synchronization with replica. If we set client-output-buffer-limit big, master may be OOM when there are many replicas that separately keep much memory. Because replication buffers of different replica client are the same, one simple idea is that all replicas only use one replication buffer, that will effectively save memory. Since replication backlog content is the same as replicas' output buffer, now we can discard replication backlog memory and use global shared replication buffer to implement replication backlog mechanism. ## Implementation I create one global "replication buffer" which contains content of replication stream. The structure of "replication buffer" is similar to the reply list that exists in every client. But the node of list is `replBufBlock`, which has `id, repl_offset, refcount` fields. ```c /* Replication buffer blocks is the list of replBufBlock. * * +--------------+ +--------------+ +--------------+ * | refcount = 1 | ... | refcount = 0 | ... | refcount = 2 | * +--------------+ +--------------+ +--------------+ * | / \ * | / \ * | / \ * Repl Backlog Replia_A Replia_B * * Each replica or replication backlog increments only the refcount of the * 'ref_repl_buf_node' which it points to. So when replica walks to the next * node, it should first increase the next node's refcount, and when we trim * the replication buffer nodes, we remove node always from the head node which * refcount is 0. If the refcount of the head node is not 0, we must stop * trimming and never iterate the next node. */ /* Similar with 'clientReplyBlock', it is used for shared buffers between * all replica clients and replication backlog. */ typedef struct replBufBlock { int refcount; /* Number of replicas or repl backlog using. */ long long id; /* The unique incremental number. */ long long repl_offset; /* Start replication offset of the block. */ size_t size, used; char buf[]; } replBufBlock; ``` So now when we feed replication stream into replication backlog and all replicas, we only need to feed stream into replication buffer `feedReplicationBuffer`. In this function, we set some fields of replication backlog and replicas to references of the global replication buffer blocks. And we also need to check replicas' output buffer limit to free if exceeding `client-output-buffer-limit`, and trim replication backlog if exceeding `repl-backlog-size`. When sending reply to replicas, we also need to iterate replication buffer blocks and send its content, when totally sending one block for replica, we decrease current node count and increase the next current node count, and then free the block which reference is 0 from the head of replication buffer blocks. Since now we use linked list to manage replication backlog, it may cost much time for iterating all linked list nodes to find corresponding replication buffer node. So we create a rax tree to store some nodes for index, but to avoid rax tree occupying too much memory, i record one per 64 nodes for index. Currently, to make partial resynchronization as possible as much, we always let replication backlog as the last reference of replication buffer blocks, backlog size may exceeds our setting if slow replicas that reference vast replication buffer blocks, and this method doesn't increase memory usage since they share replication buffer. To avoid freezing server for freeing unreferenced replication buffer blocks when we need to trim backlog for exceeding backlog size setting, we trim backlog incrementally (free 64 blocks per call now), and make it faster in `beforeSleep` (free 640 blocks). ### Other changes - `mem_total_replication_buffers`: we add this field in INFO command, it means the total memory of replication buffers used. - `mem_clients_slaves`: now even replica is slow to replicate, and its output buffer memory is not 0, but it still may be 0, since replication backlog and replicas share one global replication buffer, only if replication buffer memory is more than the repl backlog setting size, we consider the excess as replicas' memory. Otherwise, we think replication buffer memory is the consumption of repl backlog. - Key eviction Since all replicas and replication backlog share global replication buffer, we think only the part of exceeding backlog size the extra separate consumption of replicas. Because we trim backlog incrementally in the background, backlog size may exceeds our setting if slow replicas that reference vast replication buffer blocks disconnect. To avoid massive eviction loop, we don't count the delayed freed replication backlog into used memory even if there are no replicas, i.e. we also regard this memory as replicas's memory. - `client-output-buffer-limit` check for replica clients It doesn't make sense to set the replica clients output buffer limit lower than the repl-backlog-size config (partial sync will succeed and then replica will get disconnected). Such a configuration is ignored (the size of repl-backlog-size will be used). This doesn't have memory consumption implications since the replica client will share the backlog buffers memory. - Drop replication backlog after loading data if needed We always create replication backlog if server is a master, we need it because we put DELs in it when loading expired keys in RDB, but if RDB doesn't have replication info or there is no rdb, it is not possible to support partial resynchronization, to avoid extra memory of replication backlog, we drop it. - Multi IO threads Since all replicas and replication backlog use global replication buffer, if I/O threads are enabled, to guarantee data accessing thread safe, we must let main thread handle sending the output buffer to all replicas. But before, other IO threads could handle sending output buffer of all replicas. ## Other optimizations This solution resolve some other problem: - When replicas disconnect with master since of out of output buffer limit, releasing the output buffer of replicas may freeze server if we set big `client-output-buffer-limit` for replicas, but now, it doesn't cause freezing. - This implementation may mitigate reply list copy cost time(also freezes server) when one replication has huge reply buffer and another replica can copy buffer for full synchronization. now, we just copy reference info, it is very light. - If we set replication backlog size big, it also may cost much time to copy replication backlog into replica's output buffer. But this commit eliminates this problem. - Resizing replication backlog size doesn't empty current replication backlog content.
2021-10-25 02:24:31 -04:00
assert {[$master dbsize] == 100}
assert {$killed_slave_buf == 0}
assert {$delta_no_repl > -$delta_max && $delta_no_repl < $delta_max}
}
# unfreeze slave process (after the 'test' succeeded or failed, but before we attempt to terminate the server
exec kill -SIGCONT $slave_pid
}
}
}
# test that slave buffer are counted correctly
# we wanna use many small commands, and we don't wanna wait long
# so we need to use a pipeline (redis_deferring_client)
# that may cause query buffer to fill and induce eviction, so we disable it
test_slave_buffers {slave buffer are counted correctly} 1000000 10 0 1
# test that slave buffer don't induce eviction
# test again with fewer (and bigger) commands without pipeline, but with eviction
test_slave_buffers "replica buffer don't induce eviction" 100000 100 1 0
Improve test suite to handle external servers better. (#9033) This commit revives the improves the ability to run the test suite against external servers, instead of launching and managing `redis-server` processes as part of the test fixture. This capability existed in the past, using the `--host` and `--port` options. However, it was quite limited and mostly useful when running a specific tests. Attempting to run larger chunks of the test suite experienced many issues: * Many tests depend on being able to start and control `redis-server` themselves, and there's no clear distinction between external server compatible and other tests. * Cluster mode is not supported (resulting with `CROSSSLOT` errors). This PR cleans up many things and makes it possible to run the entire test suite against an external server. It also provides more fine grained controls to handle cases where the external server supports a subset of the Redis commands, limited number of databases, cluster mode, etc. The tests directory now contains a `README.md` file that describes how this works. This commit also includes additional cleanups and fixes: * Tests can now be tagged. * Tag-based selection is now unified across `start_server`, `tags` and `test`. * More information is provided about skipped or ignored tests. * Repeated patterns in tests have been extracted to common procedures, both at a global level and on a per-test file basis. * Cleaned up some cases where test setup was based on a previous test executing (a major anti-pattern that repeats itself in many places). * Cleaned up some cases where test teardown was not part of a test (in the future we should have dedicated teardown code that executes even when tests fail). * Fixed some tests that were flaky running on external servers.
2021-06-09 08:13:24 -04:00
start_server {tags {"maxmemory external:skip"}} {
Limit the main db and expires dictionaries to expand (#7954) As we know, redis may reject user's requests or evict some keys if used memory is over maxmemory. Dictionaries expanding may make things worse, some big dictionaries, such as main db and expires dict, may eat huge memory at once for allocating a new big hash table and be far more than maxmemory after expanding. There are related issues: #4213 #4583 More details, when expand dict in redis, we will allocate a new big ht[1] that generally is double of ht[0], The size of ht[1] will be very big if ht[0] already is big. For db dict, if we have more than 64 million keys, we need to cost 1GB for ht[1] when dict expands. If the sum of used memory and new hash table of dict needed exceeds maxmemory, we shouldn't allow the dict to expand. Because, if we enable keys eviction, we still couldn't add much more keys after eviction and rehashing, what's worse, redis will keep less keys when redis only remains a little memory for storing new hash table instead of users' data. Moreover users can't write data in redis if disable keys eviction. What this commit changed ? Add a new member function expandAllowed for dict type, it provide a way for caller to allow expand or not. We expose two parameters for this function: more memory needed for expanding and dict current load factor, users can implement a function to make a decision by them. For main db dict and expires dict type, these dictionaries may be very big and cost huge memory for expanding, so we implement a judgement function: we can stop dict to expand provisionally if used memory will be over maxmemory after dict expands, but to guarantee the performance of redis, we still allow dict to expand if dict load factor exceeds the safe load factor. Add test cases to verify we don't allow main db to expand when left memory is not enough, so that avoid keys eviction. Other changes: For new hash table size when expand. Before this commit, the size is that double used of dict and later _dictNextPower. Actually we aim to control a dict load factor between 0.5 and 1.0. Now we replace *2 with +1, since the first check is that used >= size, the outcome of before will usually be the same as _dictNextPower(used+1). The only case where it'll differ is when dict_can_resize is false during fork, so that later the _dictNextPower(used*2) will cause the dict to jump to *4 (i.e. _dictNextPower(1025*2) will return 4096). Fix rehash test cases due to changing algorithm of new hash table size when expand.
2020-12-06 04:53:04 -05:00
test {Don't rehash if used memory exceeds maxmemory after rehash} {
Added INFO LATENCYSTATS section: latency by percentile distribution/latency by cumulative distribution of latencies (#9462) # Short description The Redis extended latency stats track per command latencies and enables: - exporting the per-command percentile distribution via the `INFO LATENCYSTATS` command. **( percentile distribution is not mergeable between cluster nodes ).** - exporting the per-command cumulative latency distributions via the `LATENCY HISTOGRAM` command. Using the cumulative distribution of latencies we can merge several stats from different cluster nodes to calculate aggregate metrics . By default, the extended latency monitoring is enabled since the overhead of keeping track of the command latency is very small. If you don't want to track extended latency metrics, you can easily disable it at runtime using the command: - `CONFIG SET latency-tracking no` By default, the exported latency percentiles are the p50, p99, and p999. You can alter them at runtime using the command: - `CONFIG SET latency-tracking-info-percentiles "0.0 50.0 100.0"` ## Some details: - The total size per histogram should sit around 40 KiB. We only allocate those 40KiB when a command was called for the first time. - With regards to the WRITE overhead As seen below, there is no measurable overhead on the achievable ops/sec or full latency spectrum on the client. Including also the measured redis-benchmark for unstable vs this branch. - We track from 1 nanosecond to 1 second ( everything above 1 second is considered +Inf ) ## `INFO LATENCYSTATS` exposition format - Format: `latency_percentiles_usec_<CMDNAME>:p0=XX,p50....` ## `LATENCY HISTOGRAM [command ...]` exposition format Return a cumulative distribution of latencies in the format of a histogram for the specified command names. The histogram is composed of a map of time buckets: - Each representing a latency range, between 1 nanosecond and roughly 1 second. - Each bucket covers twice the previous bucket's range. - Empty buckets are not printed. - Everything above 1 sec is considered +Inf. - At max there will be log2(1000000000)=30 buckets We reply a map for each command in the format: `<command name> : { `calls`: <total command calls> , `histogram` : { <bucket 1> : latency , < bucket 2> : latency, ... } }` Co-authored-by: Oran Agra <oran@redislabs.com>
2022-01-05 07:01:05 -05:00
r config set latency-tracking no
Limit the main db and expires dictionaries to expand (#7954) As we know, redis may reject user's requests or evict some keys if used memory is over maxmemory. Dictionaries expanding may make things worse, some big dictionaries, such as main db and expires dict, may eat huge memory at once for allocating a new big hash table and be far more than maxmemory after expanding. There are related issues: #4213 #4583 More details, when expand dict in redis, we will allocate a new big ht[1] that generally is double of ht[0], The size of ht[1] will be very big if ht[0] already is big. For db dict, if we have more than 64 million keys, we need to cost 1GB for ht[1] when dict expands. If the sum of used memory and new hash table of dict needed exceeds maxmemory, we shouldn't allow the dict to expand. Because, if we enable keys eviction, we still couldn't add much more keys after eviction and rehashing, what's worse, redis will keep less keys when redis only remains a little memory for storing new hash table instead of users' data. Moreover users can't write data in redis if disable keys eviction. What this commit changed ? Add a new member function expandAllowed for dict type, it provide a way for caller to allow expand or not. We expose two parameters for this function: more memory needed for expanding and dict current load factor, users can implement a function to make a decision by them. For main db dict and expires dict type, these dictionaries may be very big and cost huge memory for expanding, so we implement a judgement function: we can stop dict to expand provisionally if used memory will be over maxmemory after dict expands, but to guarantee the performance of redis, we still allow dict to expand if dict load factor exceeds the safe load factor. Add test cases to verify we don't allow main db to expand when left memory is not enough, so that avoid keys eviction. Other changes: For new hash table size when expand. Before this commit, the size is that double used of dict and later _dictNextPower. Actually we aim to control a dict load factor between 0.5 and 1.0. Now we replace *2 with +1, since the first check is that used >= size, the outcome of before will usually be the same as _dictNextPower(used+1). The only case where it'll differ is when dict_can_resize is false during fork, so that later the _dictNextPower(used*2) will cause the dict to jump to *4 (i.e. _dictNextPower(1025*2) will return 4096). Fix rehash test cases due to changing algorithm of new hash table size when expand.
2020-12-06 04:53:04 -05:00
r config set maxmemory 0
r config set maxmemory-policy allkeys-random
# Next rehash size is 8192, that will eat 64k memory
populate 4096 "" 1
set used [s used_memory]
set limit [expr {$used + 10*1024}]
r config set maxmemory $limit
r set k1 v1
# Next writing command will trigger evicting some keys if last
# command trigger DB dict rehash
r set k2 v2
# There must be 4098 keys because redis doesn't evict keys.
r dbsize
} {4098}
}
Improve test suite to handle external servers better. (#9033) This commit revives the improves the ability to run the test suite against external servers, instead of launching and managing `redis-server` processes as part of the test fixture. This capability existed in the past, using the `--host` and `--port` options. However, it was quite limited and mostly useful when running a specific tests. Attempting to run larger chunks of the test suite experienced many issues: * Many tests depend on being able to start and control `redis-server` themselves, and there's no clear distinction between external server compatible and other tests. * Cluster mode is not supported (resulting with `CROSSSLOT` errors). This PR cleans up many things and makes it possible to run the entire test suite against an external server. It also provides more fine grained controls to handle cases where the external server supports a subset of the Redis commands, limited number of databases, cluster mode, etc. The tests directory now contains a `README.md` file that describes how this works. This commit also includes additional cleanups and fixes: * Tests can now be tagged. * Tag-based selection is now unified across `start_server`, `tags` and `test`. * More information is provided about skipped or ignored tests. * Repeated patterns in tests have been extracted to common procedures, both at a global level and on a per-test file basis. * Cleaned up some cases where test setup was based on a previous test executing (a major anti-pattern that repeats itself in many places). * Cleaned up some cases where test teardown was not part of a test (in the future we should have dedicated teardown code that executes even when tests fail). * Fixed some tests that were flaky running on external servers.
2021-06-09 08:13:24 -04:00
start_server {tags {"maxmemory external:skip"}} {
test {client tracking don't cause eviction feedback loop} {
Added INFO LATENCYSTATS section: latency by percentile distribution/latency by cumulative distribution of latencies (#9462) # Short description The Redis extended latency stats track per command latencies and enables: - exporting the per-command percentile distribution via the `INFO LATENCYSTATS` command. **( percentile distribution is not mergeable between cluster nodes ).** - exporting the per-command cumulative latency distributions via the `LATENCY HISTOGRAM` command. Using the cumulative distribution of latencies we can merge several stats from different cluster nodes to calculate aggregate metrics . By default, the extended latency monitoring is enabled since the overhead of keeping track of the command latency is very small. If you don't want to track extended latency metrics, you can easily disable it at runtime using the command: - `CONFIG SET latency-tracking no` By default, the exported latency percentiles are the p50, p99, and p999. You can alter them at runtime using the command: - `CONFIG SET latency-tracking-info-percentiles "0.0 50.0 100.0"` ## Some details: - The total size per histogram should sit around 40 KiB. We only allocate those 40KiB when a command was called for the first time. - With regards to the WRITE overhead As seen below, there is no measurable overhead on the achievable ops/sec or full latency spectrum on the client. Including also the measured redis-benchmark for unstable vs this branch. - We track from 1 nanosecond to 1 second ( everything above 1 second is considered +Inf ) ## `INFO LATENCYSTATS` exposition format - Format: `latency_percentiles_usec_<CMDNAME>:p0=XX,p50....` ## `LATENCY HISTOGRAM [command ...]` exposition format Return a cumulative distribution of latencies in the format of a histogram for the specified command names. The histogram is composed of a map of time buckets: - Each representing a latency range, between 1 nanosecond and roughly 1 second. - Each bucket covers twice the previous bucket's range. - Empty buckets are not printed. - Everything above 1 sec is considered +Inf. - At max there will be log2(1000000000)=30 buckets We reply a map for each command in the format: `<command name> : { `calls`: <total command calls> , `histogram` : { <bucket 1> : latency , < bucket 2> : latency, ... } }` Co-authored-by: Oran Agra <oran@redislabs.com>
2022-01-05 07:01:05 -05:00
r config set latency-tracking no
r config set maxmemory 0
r config set maxmemory-policy allkeys-lru
r config set maxmemory-eviction-tenacity 100
# 10 clients listening on tracking messages
set clients {}
for {set j 0} {$j < 10} {incr j} {
lappend clients [redis_deferring_client]
}
foreach rd $clients {
$rd HELLO 3
$rd read ; # Consume the HELLO reply
$rd CLIENT TRACKING on
$rd read ; # Consume the CLIENT reply
}
# populate 300 keys, with long key name and short value
for {set j 0} {$j < 300} {incr j} {
set key $j[string repeat x 1000]
r set $key x
# for each key, enable caching for this key
foreach rd $clients {
$rd get $key
$rd read
}
}
# we need to wait one second for the client querybuf excess memory to be
# trimmed by cron, otherwise the INFO used_memory and CONFIG maxmemory
# below (on slow machines) won't be "atomic" and won't trigger eviction.
after 1100
# set the memory limit which will cause a few keys to be evicted
# we need to make sure to evict keynames of a total size of more than
# 16kb since the (PROTO_REPLY_CHUNK_BYTES), only after that the
# invalidation messages have a chance to trigger further eviction.
set used [s used_memory]
set limit [expr {$used - 40000}]
r config set maxmemory $limit
# make sure some eviction happened
set evicted [s evicted_keys]
if {$::verbose} { puts "evicted: $evicted" }
# make sure we didn't drain the database
assert_range [r dbsize] 200 300
assert_range $evicted 10 50
foreach rd $clients {
$rd read ;# make sure we have some invalidation message waiting
$rd close
}
# eviction continues (known problem described in #8069)
# for now this test only make sures the eviction loop itself doesn't
# have feedback loop
set evicted [s evicted_keys]
if {$::verbose} { puts "evicted: $evicted" }
}
}
Sort out mess around propagation and MULTI/EXEC (#9890) The mess: Some parts use alsoPropagate for late propagation, others using an immediate one (propagate()), causing edge cases, ugly/hacky code, and the tendency for bugs The basic idea is that all commands are propagated via alsoPropagate (i.e. added to a list) and the top-most call() is responsible for going over that list and actually propagating them (and wrapping them in MULTI/EXEC if there's more than one command). This is done in the new function, propagatePendingCommands. Callers to propagatePendingCommands: 1. top-most call() (we want all nested call()s to add to the also_propagate array and just the top-most one to propagate them) - via `afterCommand` 2. handleClientsBlockedOnKeys: it is out of call() context and it may propagate stuff - via `afterCommand`. 3. handleClientsBlockedOnKeys edge case: if the looked-up key is already expired, we will propagate the expire but will not unblock any client so `afterCommand` isn't called. in that case, we have to propagate the deletion explicitly. 4. cron stuff: active-expire and eviction may also propagate stuff 5. modules: the module API allows to propagate stuff from just about anywhere (timers, keyspace notifications, threads). I could have tried to catch all the out-of-call-context places but it seemed easier to handle it in one place: when we free the context. in the spirit of what was done in call(), only the top-most freeing of a module context may cause propagation. 6. modules: when using a thread-safe ctx it's not clear when/if the ctx will be freed. we do know that the module must lock the GIL before calling RM_Replicate/RM_Call so we propagate the pending commands when releasing the GIL. A "known limitation", which were actually a bug, was fixed because of this commit (see propagate.tcl): When using a mix of RM_Call with `!` and RM_Replicate, the command would propagate out-of-order: first all the commands from RM_Call, and then the ones from RM_Replicate Another thing worth mentioning is that if, in the past, a client would issue a MULTI/EXEC with just one write command the server would blindly propagate the MULTI/EXEC too, even though it's redundant. not anymore. This commit renames propagate() to propagateNow() in order to cause conflicts in pending PRs. propagatePendingCommands is the only caller of propagateNow, which is now a static, internal helper function. Optimizations: 1. alsoPropagate will not add stuff to also_propagate if there's no AOF and replicas 2. alsoPropagate reallocs also_propagagte exponentially, to save calls to memmove Bugfixes: 1. CONFIG SET can create evictions, sending notifications which can cause to dirty++ with modules. we need to prevent it from propagating to AOF/replicas 2. We need to set current_client in RM_Call. buggy scenario: - CONFIG SET maxmemory, eviction notifications, module hook calls RM_Call - assertion in lookupKey crashes, because current_client has CONFIG SET, which isn't CMD_WRITE 3. minor: in eviction, call propagateDeletion after notification, like active-expire and all commands (we always send a notification before propagating the command)
2021-12-22 17:03:48 -05:00
start_server {tags {"maxmemory" "external:skip"}} {
test {propagation with eviction} {
set repl [attach_to_replication_stream]
r set asdf1 1
r set asdf2 2
r set asdf3 3
r config set maxmemory-policy allkeys-lru
r config set maxmemory 1
wait_for_condition 5000 10 {
[r dbsize] eq 0
} else {
fail "Not all keys have been evicted"
}
r config set maxmemory 0
r config set maxmemory-policy noeviction
r set asdf4 4
assert_replication_stream $repl {
{select *}
{set asdf1 1}
{set asdf2 2}
{set asdf3 3}
{del asdf*}
{del asdf*}
{del asdf*}
{set asdf4 4}
}
close_replication_stream $repl
r config set maxmemory 0
r config set maxmemory-policy noeviction
}
}
start_server {tags {"maxmemory" "external:skip"}} {
test {propagation with eviction in MULTI} {
set repl [attach_to_replication_stream]
r config set maxmemory-policy allkeys-lru
r multi
r incr x
r config set maxmemory 1
r incr x
assert_equal [r exec] {1 OK 2}
wait_for_condition 5000 10 {
[r dbsize] eq 0
} else {
fail "Not all keys have been evicted"
}
assert_replication_stream $repl {
{multi}
Fix replication inconsistency on modules that uses key space notifications (#10969) Fix replication inconsistency on modules that uses key space notifications. ### The Problem In general, key space notifications are invoked after the command logic was executed (this is not always the case, we will discuss later about specific command that do not follow this rules). For example, the `set x 1` will trigger a `set` notification that will be invoked after the `set` logic was performed, so if the notification logic will try to fetch `x`, it will see the new data that was written. Consider the scenario on which the notification logic performs some write commands. for example, the notification logic increase some counter, `incr x{counter}`, indicating how many times `x` was changed. The logical order by which the logic was executed is has follow: ``` set x 1 incr x{counter} ``` The issue is that the `set x 1` command is added to the replication buffer at the end of the command invocation (specifically after the key space notification logic was invoked and performed the `incr` command). The replication/aof sees the commands in the wrong order: ``` incr x{counter} set x 1 ``` In this specific example the order is less important. But if, for example, the notification would have deleted `x` then we would end up with primary-replica inconsistency. ### The Solution Put the command that cause the notification in its rightful place. In the above example, the `set x 1` command logic was executed before the notification logic, so it should be added to the replication buffer before the commands that is invoked by the notification logic. To achieve this, without a major code refactoring, we save a placeholder in the replication buffer, when finishing invoking the command logic we check if the command need to be replicated, and if it does, we use the placeholder to add it to the replication buffer instead of appending it to the end. To be efficient and not allocating memory on each command to save the placeholder, the replication buffer array was modified to reuse memory (instead of allocating it each time we want to replicate commands). Also, to avoid saving a placeholder when not needed, we do it only for WRITE or MAY_REPLICATE commands. #### Additional Fixes * Expire and Eviction notifications: * Expire/Eviction logical order was to first perform the Expire/Eviction and then the notification logic. The replication buffer got this in the other way around (first notification effect and then the `del` command). The PR fixes this issue. * The notification effect and the `del` command was not wrap with `multi-exec` (if needed). The PR also fix this issue. * SPOP command: * On spop, the `spop` notification was fired before the command logic was executed. The change in this PR would have cause the replication order to be change (first `spop` command and then notification `logic`) although the logical order is first the notification logic and then the `spop` logic. The right fix would have been to move the notification to be fired after the command was executed (like all the other commands), but this can be considered a breaking change. To overcome this, the PR keeps the current behavior and changes the `spop` code to keep the right logical order when pushing commands to the replication buffer. Another PR will follow to fix the SPOP properly and match it to the other command (we split it to 2 separate PR's so it will be easy to cherry-pick this PR to 7.0 if we chose to). #### Unhanded Known Limitations * key miss event: * On key miss event, if a module performed some write command on the event (using `RM_Call`), the `dirty` counter would increase and the read command that cause the key miss event would be replicated to the replication and aof. This problem can also happened on a write command that open some keys but eventually decides not to perform any action. We decided not to handle this problem on this PR because the solution is complex and will cause additional risks in case we will want to cherry-pick this PR. We should decide if we want to handle it in future PR's. For now, modules writers is advice not to perform any write commands on key miss event. #### Testing * We already have tests to cover cases where a notification is invoking write commands that are also added to the replication buffer, the tests was modified to verify that the replica gets the command in the correct logical order. * Test was added to verify that `spop` behavior was kept unchanged. * Test was added to verify key miss event behave as expected. * Test was added to verify the changes do not break lazy expiration. #### Additional Changes * `propagateNow` function can accept a special dbid, -1, indicating not to replicate `select`. We use this to replicate `multi/exec` on `propagatePendingCommands` function. The side effect of this change is that now the `select` command will appear inside the `multi/exec` block on the replication stream (instead of outside of the `multi/exec` block). Tests was modified to match this new behavior.
2022-08-18 03:16:32 -04:00
{select *}
Sort out mess around propagation and MULTI/EXEC (#9890) The mess: Some parts use alsoPropagate for late propagation, others using an immediate one (propagate()), causing edge cases, ugly/hacky code, and the tendency for bugs The basic idea is that all commands are propagated via alsoPropagate (i.e. added to a list) and the top-most call() is responsible for going over that list and actually propagating them (and wrapping them in MULTI/EXEC if there's more than one command). This is done in the new function, propagatePendingCommands. Callers to propagatePendingCommands: 1. top-most call() (we want all nested call()s to add to the also_propagate array and just the top-most one to propagate them) - via `afterCommand` 2. handleClientsBlockedOnKeys: it is out of call() context and it may propagate stuff - via `afterCommand`. 3. handleClientsBlockedOnKeys edge case: if the looked-up key is already expired, we will propagate the expire but will not unblock any client so `afterCommand` isn't called. in that case, we have to propagate the deletion explicitly. 4. cron stuff: active-expire and eviction may also propagate stuff 5. modules: the module API allows to propagate stuff from just about anywhere (timers, keyspace notifications, threads). I could have tried to catch all the out-of-call-context places but it seemed easier to handle it in one place: when we free the context. in the spirit of what was done in call(), only the top-most freeing of a module context may cause propagation. 6. modules: when using a thread-safe ctx it's not clear when/if the ctx will be freed. we do know that the module must lock the GIL before calling RM_Replicate/RM_Call so we propagate the pending commands when releasing the GIL. A "known limitation", which were actually a bug, was fixed because of this commit (see propagate.tcl): When using a mix of RM_Call with `!` and RM_Replicate, the command would propagate out-of-order: first all the commands from RM_Call, and then the ones from RM_Replicate Another thing worth mentioning is that if, in the past, a client would issue a MULTI/EXEC with just one write command the server would blindly propagate the MULTI/EXEC too, even though it's redundant. not anymore. This commit renames propagate() to propagateNow() in order to cause conflicts in pending PRs. propagatePendingCommands is the only caller of propagateNow, which is now a static, internal helper function. Optimizations: 1. alsoPropagate will not add stuff to also_propagate if there's no AOF and replicas 2. alsoPropagate reallocs also_propagagte exponentially, to save calls to memmove Bugfixes: 1. CONFIG SET can create evictions, sending notifications which can cause to dirty++ with modules. we need to prevent it from propagating to AOF/replicas 2. We need to set current_client in RM_Call. buggy scenario: - CONFIG SET maxmemory, eviction notifications, module hook calls RM_Call - assertion in lookupKey crashes, because current_client has CONFIG SET, which isn't CMD_WRITE 3. minor: in eviction, call propagateDeletion after notification, like active-expire and all commands (we always send a notification before propagating the command)
2021-12-22 17:03:48 -05:00
{incr x}
{incr x}
{exec}
{del x}
}
close_replication_stream $repl
r config set maxmemory 0
r config set maxmemory-policy noeviction
}
}