Managing Workload and Resources
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Managing Workload and Resources
Use Greenplum workload management to prevent queries from starting when there are insufficient available resources and to prioritize and allocate resources to queries according to business requirements.
This section describes the workload management feature of Greenplum Database, and explains the tasks involved in creating and managing resource queues.
Overview of Greenplum Workload Management
The purpose of workload management is to limit the number of active queries in the system at any given time in order to avoid exhausting system resources such as memory, CPU, and disk I/O. This is accomplished in Greenplum Database with role-based resource queues. A resource queue has attributes that limit the size and/or total number of queries that can be executed by the users (or roles) in that queue. Also, you can assign a priority level that controls the relative share of available CPU used by queries associated with the resource queue. By assigning all database roles to the appropriate resource queue, administrators can control concurrent user queries and prevent the system from being overloaded.
How Resource Queues Work in Greenplum Database
Resource scheduling is enabled by default when you install Greenplum Database. All database roles must be assigned to a resource queue. If an administrator creates a role without explicitly assigning it to a resource queue, the role is assigned to the default resource queue, pg_default.
Greenplum recommends that administrators create resource queues for the various types of workloads in their organization. For example, you may have resource queues for power users, web users, and management reports. You would then set limits on the resource queue based your estimate of how resource-intensive the queries associated with that workload are likely to be. Currently, the configurable limits on a queue include:
- Active statement count. The maximum number of statements that can run concurrently.
- Active statement memory. The total amount of memory that all queries submitted through this queue can consume.
- Active statement priority. This value defines a queue's priority relative to other queues in terms of available CPU resources.
- Active statement cost. This value is compared with the cost estimated by the query planner, measured in units of disk page fetches.
After resource queues are created, database roles (users) are then assigned to the appropriate resource queue. A resource queue can have multiple roles, but a role can have only one assigned resource queue.
How Resource Queue Limits Work
At runtime, when the user submits a query for execution, that query is evaluated against the resource queue's limits. If the query does not cause the queue to exceed its resource limits, then that query will run immediately. If the query causes the queue to exceed its limits (for example, if the maximum number of active statement slots are currently in use), then the query must wait until queue resources are free before it can run. Queries are evaluated on a first in, first out basis. If query prioritization is enabled, the active workload on the system is periodically assessed and processing resources are reallocated according to query priority (see How Priorities Work).
Roles with the SUPERUSER attribute are always exempt from resource queue limits. Superuser queries are always allowed to run immediately regardless of the limits of their assigned resource queue.
How Memory Limits Work
Setting a memory limit on a resource queue sets the maximum amount of memory that all queries submitted through the queue can consume on a segment host. The amount of memory allotted to a particular query is based on the queue memory limit divided by the active statement limit (Greenplum recommends that memory limits be used in conjunction with statement-based queues rather than cost-based queues). For example, if a queue has a memory limit of 2000MB and an active statement limit of 10, each query submitted through the queue is allotted 200MB of memory by default. The default memory allotment can be overridden on a per-query basis using the statement_mem server configuration parameter (up to the queue memory limit). Once a query has started executing, it holds its allotted memory in the queue until it completes (even if during execution it actually consumes less than its allotted amount of memory).
For more information on configuring memory limits on a resource queue, and other memory utilization controls, see Creating Queues with Memory Limits.
How Priorities Work
Resource limits on active statement count, memory and query cost are admission limits, which determine whether a query is admitted into the group of actively running statements, or whether it is queued with other waiting statements. After a query becomes active, it must share available CPU resources as determined by the priority settings for its resource queue. When a statement from a high-priority queue enters the group of actively running statements, it may claim a significant share of the available CPU, reducing the share allotted to already-running statements.
The comparative size or complexity of the queries does not affect the allotment of CPU. If a simple, low-cost query is running simultaneously with a large, complex query, and their priority settings are the same, they will be allotted the same share of available CPU resources. When a new query becomes active, the exact percentage shares of CPU will be recalculated, but queries of equal priority will still have equal amounts of CPU allotted.
For example, an administrator creates three resource queues: adhoc for ongoing queries submitted by business analysts, reporting for scheduled reporting jobs, and executive for queries submitted by executive user roles. The administrator wants to ensure that scheduled reporting jobs are not heavily affected by unpredictable resource demands from ad-hoc analyst queries. Also, the administrator wants to make sure that queries submitted by executive roles are allotted a significant share of CPU. Accordingly, the resource queue priorities are set as shown:
- adhoc — Low priority
- reporting — High priority
- executive — Maximum priority
For more information about commands to set priorities, see Setting Priority Levels.
At runtime, the CPU share of active statements is determined by these priority settings. If queries 1 and 2 from the reporting queue are running simultaneously, they have equal shares of CPU. When an ad-hoc query becomes active, it claims a smaller share of CPU. The exact share used by the reporting queries is adjusted, but remains equal due to their equal priority setting:
The percentages shown in these graphics are approximate. CPU usage between high, low and maximum priority queues is not always calculated in precisely these proportions.
When an executive query enters the group of running statements, CPU usage is adjusted to account for its maximum priority setting. It may be a simple query compared to the analyst and reporting queries, but until it is completed, it will claim the largest share of CPU.
Types of Queries Evaluated for Resource Queues
Not all SQL statements submitted through a resource queue are evaluated against the queue limits. By default only SELECT, SELECT INTO, CREATE TABLE AS SELECT, and DECLARE CURSOR statements are evaluated. If the server configuration parameter resource_select_only is set to off, then INSERT, UPDATE, and DELETE statements will be evaluated as well.
Steps to Enable Workload Management
Enabling and using workload management in Greenplum Database involves the following high-level tasks:
- Creating the resource queues and setting limits on them. See Creating Resource Queues.
- Assigning a queue to one or more user roles. See Assigning Roles (Users) to a Resource Queue.
- Using the workload management system views to monitor and manage the resource queues. See Checking Resource Queue Status.
Configuring Workload Management
Resource scheduling is enabled by default when you install Greenplum Database, and is required for all roles. The default resource queue, pg_default, has an active statement limit of 20, no cost limit, no memory limit, and a medium priority setting. Greenplum recommends that you create resource queues for the various types of workloads.
To configure workload management
- The following parameters are for the general configuration of resource
- max_resource_queues - Sets the maximum number of resource queues.
- max_resource_portals_per_transaction - Sets the maximum number of simultaneously open cursors allowed per transaction. Note that an open cursor will hold an active query slot in a resource queue.
- resource_select_only - If set to on, then SELECT, SELECT INTO, CREATE TABLE ASSELECT, and DECLARE CURSOR commands are evaluated. If set to offINSERT, UPDATE, and DELETE commands will be evaluated as well.
- resource_cleanup_gangs_on_wait - Cleans up idle segment worker processes before taking a slot in the resource queue.
- stats_queue_level - Enables statistics collection on resource queue usage, which can then be viewed by querying the pg_stat_resqueues system view.
- The following parameters are related to memory utilization:
gp_resqueue_memory_policy - Enables Greenplum
memory management features.
In Greenplum Database 4.2 and later, the distribution algorithm eager_free takes advantage of the fact that not all operators execute at the same time. The query plan is divided into stages and Greenplum Database eagerly frees memory allocated to a previous stage at the end of that stage's execution, then allocates the eagerly freed memory to the new stage.
When set to none, memory management is the same as in Greenplum Database releases prior to 4.1. When set to auto, query memory usage is controlled by statement_mem and resource queue memory limits.
- statement_mem and max_statement_mem - Used to allocate memory to a particular query at runtime (override the default allocation assigned by the resource queue). max_statement_mem is set by database superusers to prevent regular database users from over-allocation.
- gp_vmem_protect_limit - Sets the upper boundary that all query processes can consume that should not exceed the amount of physical memory of a segment host. When a segment host reaches this limit during query execution, the queries that cause the limit to be exceeded will be cancelled.
- gp_vmem_idle_resource_timeout and gp_vmem_protect_segworker_cache_limit - used to free memory on segment hosts held by idle database processes. Administrators may want to adjust these settings on systems with lots of concurrency.
- gp_resqueue_memory_policy - Enables Greenplum memory management features.
- The following parameters are related to query prioritization. Note that
the following parameters are all local parameters, meaning they must be set in
the postgresql.conf files of the master and all
- gp_resqueue_priority - The query prioritization feature is enabled by default.
- gp_resqueue_priority_sweeper_interval - Sets the interval at which CPU usage is recalculated for all active statements. The default value for this parameter should be sufficient for typical database operations.
Specifies the number of CPU cores allocated per segment instance. The default value
is 4 for the master and segments. For Greenplum Data Computing Appliance Version 2,
the default value is 4 for segments and 25 for the master.
Each host checks its own postgresql.conf file for the value of this parameter. This parameter also affects the master node, where it should be set to a value reflecting the higher ratio of CPU cores. For example, on a cluster that has 10 CPU cores per host and 4 segments per host, you would specify these values for gp_resqueue_priority_cpucores_per_segment:
10 for the master and standby master. Typically, only the master instance is on the master host.
2.5 for segment instances on the segment hosts.
If the parameter value is not set correctly, either the CPU might not be fully utilized, or query prioritization might not work as expected. For example, if the Greenplum Database cluster has fewer than one segment instance per CPU core on your segment hosts, make sure you adjust this value accordingly.
Actual CPU core utilization is based on the ability of Greenplum Database to parallelize a query and the resources required to execute the query.
Note: Any CPU core that is available to the operating system is included in the number of CPU cores. For example, virtual CPU cores are included in the number of CPU cores.
- If you wish to view or change any of the workload management parameter values, you can use the gpconfig utility.
- For example, to see the setting of a particular parameter:
$ gpconfig --show gp_vmem_protect_limit
- For example, to set one value on all segment instances and a different
value on the master:
$ gpconfig -c gp_resqueue_priority_cpucores_per_segment -v 2 -m 8
- Restart Greenplum Database to make the configuration changes effective:
$ gpstop -r
Creating Resource Queues
Creating a resource queue involves giving it a name and setting either a query cost limit or an active query limit (or both), and optionally a query priority on the resource queue. Use the CREATE RESOURCE QUEUE command to create new resource queues.
Creating Queues with an Active Query Limit
Resource queues with an ACTIVE_STATEMENTS setting limit the number of queries that can be executed by roles assigned to that queue. For example, to create a resource queue named adhoc with an active query limit of three:
=# CREATE RESOURCE QUEUE adhoc WITH (ACTIVE_STATEMENTS=3);
This means that for all roles assigned to the adhoc resource queue, only three active queries can be running on the system at any given time. If this queue has three queries running, and a fourth query is submitted by a role in that queue, that query must wait until a slot is free before it can run.
Creating Queues with Memory Limits
Resource queues with a MEMORY_LIMIT setting control the amount of memory for all the queries submitted through the queue. The total memory should not exceed the physical memory available per-segment. Greenplum recommends that you set MEMORY_LIMIT to 90% of memory available on a per-segment basis. For example, if a host has 48 GB of physical memory and 6 segment instances, then the memory available per segment instance is 8 GB. You can calculate the recommended MEMORY_LIMIT for a single queue as 0.90*8=7.2 GB. If there are multiple queues created on the system, their total memory limits must also add up to 7.2 GB.
When used in conjunction with ACTIVE_STATEMENTS, the default amount of memory allotted per query is: MEMORY_LIMIT / ACTIVE_STATEMENTS. When used in conjunction with MAX_COST, the default amount of memory allotted per query is: MEMORY_LIMIT * (query_cost / MAX_COST). Pivotal recommends that MEMORY_LIMIT be used in conjunction with ACTIVE_STATEMENTS rather than with MAX_COST.
For example, to create a resource queue with an active query limit of 10 and a total memory limit of 2000MB (each query will be allocated 200MB of segment host memory at execution time):
=# CREATE RESOURCE QUEUE myqueue WITH (ACTIVE_STATEMENTS=20, MEMORY_LIMIT='2000MB');
The default memory allotment can be overridden on a per-query basis using the statement_mem server configuration parameter, provided that MEMORY_LIMIT or max_statement_mem is not exceeded. For example, to allocate more memory to a particular query:
=> SET statement_mem='2GB'; => SELECT * FROM my_big_table WHERE column='value' ORDER BY id; => RESET statement_mem;
As a general guideline, MEMORY_LIMIT for all of your resource queues should not exceed the amount of physical memory of a segment host. If workloads are staggered over multiple queues, it may be OK to oversubscribe memory allocations, keeping in mind that queries may be cancelled during execution if the segment host memory limit (gp_vmem_protect_limit) is exceeded.
Creating Queues with a Query Planner Cost Limits
Resource queues with a MAX_COST setting limit the total cost of queries that can be executed by roles assigned to that queue. Cost is specified as a floating point number (for example 100.0) or can also be specified as an exponent (for example 1e+2).
Cost is measured in the estimated total cost for the query as determined by the Greenplum query planner (as shown in the EXPLAIN output for a query). Therefore, an administrator must be familiar with the queries typically executed on the system in order to set an appropriate cost threshold for a queue. Cost is measured in units of disk page fetches; 1.0 equals one sequential disk page read.
For example, to create a resource queue named webuser with a query cost limit of 100000.0 (1e+5):
=# CREATE RESOURCE QUEUE webuser WITH (MAX _COST=100000.0);
=# CREATE RESOURCE QUEUE webuser WITH (MAX _COST=1e+5);
This means that for all roles assigned to the webuser resource queue, it will only allow queries into the system until the cost limit of 100000.0 is reached. So for example, if this queue has 200 queries with a 500.0 cost all running at the same time, and query 201 with a 1000.0 cost is submitted by a role in that queue, that query must wait until space is free before it can run.
Allowing Queries to Run on Idle Systems
If a resource queue is limited based on a cost threshold, then the administrator can allow COST_OVERCOMMIT (the default). Resource queues with a cost threshold and overcommit enabled will allow a query that exceeds the cost threshold to run, provided that there are no other queries in the system at the time the query is submitted. The cost threshold will still be enforced if there are concurrent workloads on the system.
If COST_OVERCOMMIT is false, then queries that exceed the cost limit will always be rejected and never allowed to run.
Allowing Small Queries to Bypass Queue Limits
Workloads may have certain small queries that administrators want to allow to run without taking up an active statement slot in the resource queue. For example, simple queries to look up metadata information in the system catalogs do not typically require significant resources or interfere with query processing on the segments. An administrator can set MIN_COST to denote a query planner cost associated with a small query. Any query that falls below the MIN_COST limit will be allowed to run immediately. MIN_COST can be used on resource queues with either an active statement or a maximum query cost limit. For example:
=# CREATE RESOURCE QUEUE adhoc WITH (ACTIVE_STATEMENTS=10, MIN_COST=100.0);
Setting Priority Levels
To control a resource queue's consumption of available CPU resources, an administrator can assign an appropriate priority level. When high concurrency causes contention for CPU resources, queries and statements associated with a high-priority resource queue will claim a larger share of available CPU than lower priority queries and statements.
Priority settings are created or altered using the WITH parameter of the commands CREATE RESOURCE QUEUE and ALTER RESOURCE QUEUE. For example, to specify priority settings for the adhoc and reporting queues, an administrator would use the following commands:
=# ALTER RESOURCE QUEUE adhoc WITH (PRIORITY=LOW); =# ALTER RESOURCE QUEUE reporting WITH (PRIORITY=HIGH);
To create the executive queue with maximum priority, an administrator would use the following command:
=# CREATE RESOURCE QUEUE executive WITH (ACTIVE_STATEMENTS=3, PRIORITY=MAX);
When the query prioritization feature is enabled, resource queues are given a MEDIUM priority by default if not explicitly assigned. For more information on how priority settings are evaluated at runtime, see How Priorities Work.
In order for resource queue priority levels to be enforced on the active query workload, you must enable the query prioritization feature by setting the associated server configuration parameters. See Configuring Workload Management.
Assigning Roles (Users) to a Resource Queue
Once a resource queue is created, you must assign roles (users) to their appropriate resource queue. If roles are not explicitly assigned to a resource queue, they will go to the default resource queue, pg_default. The default resource queue has an active statement limit of 20, no cost limit, and a medium priority setting.
Use the ALTER ROLE or CREATE ROLE commands to assign a role to a resource queue. For example:
=# ALTER ROLE name RESOURCE QUEUE queue_name; =# CREATE ROLE name WITH LOGIN RESOURCE QUEUE queue_name;
A role can only be assigned to one resource queue at any given time, so you can use the ALTER ROLE command to initially assign or change a role's resource queue.
Resource queues must be assigned on a user-by-user basis. If you have a role hierarchy (for example, a group-level role) then assigning a resource queue to the group does not propagate down to the users in that group.
Superusers are always exempt from resource queue limits. Superuser queries will always run regardless of the limits set on their assigned queue.
Removing a Role from a Resource Queue
All users must be assigned to a resource queue. If not explicitly assigned to a particular queue, users will go into the default resource queue, pg_default. If you wish to remove a role from a resource queue and put them in the default queue, change the role's queue assignment to none. For example:
=# ALTER ROLE role_name RESOURCE QUEUE none;
Modifying Resource Queues
After a resource queue has been created, you can change or reset the queue limits using the ALTER RESOURCE QUEUE command. You can remove a resource queue using the DROP RESOURCE QUEUE command. To change the roles (users) assigned to a resource queue, Assigning Roles (Users) to a Resource Queue.
Altering a Resource Queue
The ALTER RESOURCE QUEUE command changes the limits of a resource queue. A resource queue must have either an ACTIVE_STATEMENTS or a MAX_COST value (or it can have both). To change the limits of a resource queue, specify the new values you want for the queue. For example:
=# ALTER RESOURCE QUEUE adhoc WITH (ACTIVE_STATEMENTS=5); =# ALTER RESOURCE QUEUE exec WITH (MAX_COST=100000.0);
To reset active statements or memory limit to no limit, enter a value of -1. To reset the maximum query cost to no limit, enter a value of -1.0. For example:
=# ALTER RESOURCE QUEUE adhoc WITH (MAX_COST=-1.0, MEMORY_LIMIT='2GB');
You can use the ALTER RESOURCE QUEUE command to change the priority of queries associated with a resource queue. For example, to set a queue to the minimum priority level:
ALTER RESOURCE QUEUE webuser WITH (PRIORITY=MIN);
Dropping a Resource Queue
The DROP RESOURCE QUEUE command drops a resource queue. To drop a resource queue, the queue cannot have any roles assigned to it, nor can it have any statements waiting in the queue. See Removing a Role from a Resource Queue and Clearing a Waiting Statement From a Resource Queue for instructions on emptying a resource queue. To drop a resource queue:
=# DROP RESOURCE QUEUE name;
Checking Resource Queue Status
Checking resource queue status involves the following tasks:
- Viewing Queued Statements and Resource Queue Status
- Viewing Resource Queue Statistics
- Viewing the Roles Assigned to a Resource Queue
- Viewing the Waiting Queries for a Resource Queue
- Clearing a Waiting Statement From a Resource Queue
- Viewing the Priority of Active Statements
- Resetting the Priority of an Active Statement
Viewing Queued Statements and Resource Queue Status
The gp_toolkit.gp_resqueue_status view allows administrators to see status and activity for a workload management resource queue. It shows how many queries are waiting to run and how many queries are currently active in the system from a particular resource queue. To see the resource queues created in the system, their limit attributes, and their current status:
=# SELECT * FROM gp_toolkit.gp_resqueue_status;
Viewing Resource Queue Statistics
If you want to track statistics and performance of resource queues over time, you can enable statistics collecting for resource queues. This is done by setting the following server configuration parameter in your master postgresql.conf file:
stats_queue_level = on
Once this is enabled, you can use the pg_stat_resqueues system view to see the statistics collected on resource queue usage. Note that enabling this feature does incur slight performance overhead, as each query submitted through a resource queue must be tracked. It may be useful to enable statistics collecting on resource queues for initial diagnostics and administrative planning, and then disable the feature for continued use.
See the Statistics Collector section in the PostgreSQL documentation for more information about collecting statistics in Greenplum Database.
Viewing the Roles Assigned to a Resource Queue
To see the roles assigned to a resource queue, perform the following query of the pg_roles and gp_toolkit.gp_resqueue_status system catalog tables:
=# SELECT rolname, rsqname FROM pg_roles, gp_toolkit.gp_resqueue_status WHERE pg_roles.rolresqueue=gp_toolkit.gp_resqueue_status.queueid;
You may want to create a view of this query to simplify future inquiries. For example:
=# CREATE VIEW role2queue AS SELECT rolname, rsqname FROM pg_roles, pg_resqueue WHERE pg_roles.rolresqueue=gp_toolkit.gp_resqueue_status.queueid;
Then you can just query the view:
=# SELECT * FROM role2queue;
Viewing the Waiting Queries for a Resource Queue
When a slot is in use for a resource queue, it is recorded in the pg_locks system catalog table. This is where you can see all of the currently active and waiting queries for all resource queues. To check that statements are being queued (even statements that are not waiting), you can also use the gp_toolkit.gp_locks_on_resqueue view. For example:
=# SELECT * FROM gp_toolkit.gp_locks_on_resqueue WHERE lorwaiting='true';
If this query returns no results, then that means there are currently no statements waiting in a resource queue.
Clearing a Waiting Statement From a Resource Queue
In some cases, you may want to clear a waiting statement from a resource queue. For example, you may want to remove a query that is waiting in the queue but has not been executed yet. You may also want to stop a query that has been started if it is taking too long to execute, or if it is sitting idle in a transaction and taking up resource queue slots that are needed by other users. To do this, you must first identify the statement you want to clear, determine its process id (pid), and then, use pg_cancel_backend with the process id to end that process, as shown below.
For example, to see process information about all statements currently active or waiting in all resource queues, run the following query:
=# SELECT rolname, rsqname, pid, granted, current_query, datname FROM pg_roles, gp_toolkit.gp_resqueue_status, pg_locks, pg_stat_activity WHERE pg_roles.rolresqueue=pg_locks.objid AND pg_locks.objid=gp_toolkit.gp_resqueue_status.queueid AND pg_stat_activity.procpid=pg_locks.pid; AND pg_stat_activity.usename=pg_roles.rolname;
If this query returns no results, then that means there are currently no statements in a resource queue. A sample of a resource queue with two statements in it looks something like this:
rolname | rsqname | pid | granted | current_query | datname ----------------------------------------------------------------------- sammy | webuser | 31861 | t | <IDLE> in transaction | namesdb daria | webuser | 31905 | f | SELECT * FROM topten; | namesdb
Use this output to identify the process id (pid) of the statement you want to clear from the resource queue. To clear the statement, you would then open a terminal window (as the gpadmin database superuser or as root) on the master host and cancel the corresponding process. For example:
Do not use any operating system KILL command.
Viewing the Priority of Active Statements
The gp_toolkit administrative schema has a view called gp_resq_priority_statement, which lists all statements currently being executed and provides the priority, session ID, and other information.
This view is only available through the gp_toolkit administrative schema. See the Greenplum Database Reference Guide for more information.
Resetting the Priority of an Active Statement
Superusers can adjust the priority of a statement currently being executed using the built-in function gp_adjust_priority(session_id, statement_count, priority). Using this function, superusers can raise or lower the priority of any query. For example:
=# SELECT gp_adjust_priority(752, 24905, 'HIGH')
To obtain the session ID and statement count parameters required by this function, superusers can use the gp_toolkit administrative schema view, gp_resq_priority_statement. From the view, use these values for the function parameters.
- The value of the rqpsession column for the session_id parameter
- The value of the rqpcommand column for the statement_count parameter
- The value of rqppriority column is the current priority. You can specify a string value of MAX, HIGH, MEDIUM, or LOW as the priority.
The gp_adjust_priority() function affects only the specified statement. Subsequent statements in the same resource queue are executed using the queue's normally assigned priority.