Customize Monitoring
Configure Monitoring using SQL
Note
Using SingleStoreDB Toolbox to configure cluster monitoring is the easier, preferred, and default method.
Enable the Exporter Process
The memsql-exporter
process (or simply “the exporter”) collects data about a running cluster. The user that starts the exporter (other than the SingleStoreDBroot
user) must have the following permissions at a minimum:
GRANT CLUSTER on *.* to <user> GRANT SHOW METADATA on *.* to <user> GRANT SELECT on *.* to <user> GRANT PROCESS on *.* to <user>
Start the Exporter Process
Perform the following steps on the Source cluster Master Aggregator.
Note that the exporter process is restarted when the exporter_port
variable is set to any non-zero value, including the current value. The exporter_port
variable can be set by running SET GLOBAL exporter_port = <port>;
.
HTTP Connections
You may start the exporter in the SingleStoreDB engine by passing a user, port, and password to the exporter. The following example shows the exporter being started with the SingleStoreDBroot
user:
SET GLOBAL exporter_user = root; SET GLOBAL exporter_password = '<secure-password>'; SET GLOBAL exporter_port= 9104;
HTTPS Connections
Copy the server certificate and key to the Master Aggregator host of the Source cluster. This certificate will be used by the exporter process and must be readable by the user under which the nodes are running on the host (typically the
memsql
user).Use the following SQL statements to start the exporter in the SingleStoreDB engine.
SET GLOBAL exporter_user = root; SET GLOBAL exporter_password = '<secure-password>'; SET GLOBAL exporter_use_https= true; SET GLOBAL exporter_ssl_cert = '/path/to/server-cert.pem'; SET GLOBAL exporter_ssl_key = '/path/to/server-key.pem'; SET GLOBAL exporter_ssl_key_passphrase= '<passphrase>';
Note: The
exporter_ssl_key_passphrase
variable should only be included if the server key has a passphrase.
How to Stop the Exporter Process
You may stop the exporter at any time by running the following command on the Source cluster Master Aggregator.
Use an engine variable to stop the exporter process by setting the port to 0
.
SET GLOBAL exporter_port = 0;
Configure the metrics
Database
The metrics
database can either reside in the Source cluster, in a dedicated Metrics cluster, or in a remote SingleStoreDB cluster that the Metrics cluster can access.
Note that the user that creates the metrics
database may differ from the one that started the exporter. This user must be able to create tables, databases, and pipelines. At a minimum, the following permissions are required:
metrics
Database DDL
You may run the following SQL scripts to configure the database.
Please note the following:
The database that is created to store monitoring data is named
metrics
by default. You must edit these SQL statements manually to change the database name.The database user is
root
by default. When creating themetrics
database with a database user other thanroot
, theSUPER
privilege must be granted to this user. For example, for adbmon
user:GRANT SUPER ON *.* TO 'dbmon'@'%';
These commands must be run on the Master Aggregator of the Metrics cluster.
Create the metrics
database and associated tables by copying, pasting, and executing each set of SQL statements below. This can be done via the SQL Editor in Studio, or your favored SQL client.
You may also download the latest metrics database DDL SQL file from SingleStore.
create database if not exists metrics; CREATE TABLE IF NOT EXISTS metrics.config ( `hostport` TINYBLOB NOT NULL, `retention_period_minutes` INT NOT NULL, `purge_frequency_minutes` INT NOT NULL, `purge_limit` INT NOT NULL, PRIMARY KEY(`hostport`) ); CREATE TABLE IF NOT EXISTS metrics.`metrics` ( `labels` JSON, `name` TINYBLOB NOT NULL, `memsql_tags` JSON COLLATE utf8_bin, `cluster` AS `memsql_tags`::$cluster PERSISTED TINYBLOB, `host` AS `labels`::$host PERSISTED TINYBLOB, `port` as `labels`::$port PERSISTED SMALLINT(6), `role` as `labels`::$role PERSISTED TINYBLOB, `extractor` as substring_index(`name`, '_', 1) PERSISTED TINYBLOB, `subsystem` as substring_index(substring_index(`name`, '_', 2), '_', -1) PERSISTED TINYBLOB, `job` AS `memsql_tags`::$push_job PERSISTED TINYBLOB, `value` DOUBLE NOT NULL, `intval` AS cast(floor(`value`) AS signed integer) PERSISTED BIGINT(20), `time_sec` BIGINT(20) NOT NULL, KEY `name` (`cluster`,`extractor`,`subsystem`,`host`,`role`,`name`,`time_sec`) USING CLUSTERED COLUMNSTORE, SHARD KEY() ); CREATE TABLE IF NOT EXISTS metrics.act_samples ( `cluster` varchar(512) CHARACTER SET utf8 COLLATE utf8_bin NOT NULL, `memsql_tags` JSON NOT NULL, `ts` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP, `ACTIVITY_TYPE` varchar(512) CHARACTER SET utf8 COLLATE utf8_bin NOT NULL, `ACTIVITY_NAME` varchar(512) CHARACTER SET utf8 COLLATE utf8_bin NOT NULL, `AGGREGATOR_ACTIVITY_NAME` varchar(512) CHARACTER SET utf8 COLLATE utf8_bin DEFAULT NULL, `DATABASE_NAME` varchar(512) CHARACTER SET utf8 COLLATE utf8_bin DEFAULT NULL, `NODE_ID` smallint(6) DEFAULT NULL, `PARTITION_ID` smallint(6) DEFAULT NULL, `CPU_TIME_MS` bigint(4) DEFAULT NULL, `CPU_WAIT_TIME_MS` bigint(4) DEFAULT NULL, `ELAPSED_TIME_MS` bigint(4) DEFAULT NULL, `LOCK_TIME_MS` bigint(4) DEFAULT NULL, `NETWORK_TIME_MS` bigint(4) DEFAULT NULL, `DISK_TIME_MS` bigint(4) DEFAULT NULL, `DISK_B` bigint(4) DEFAULT NULL, `DISK_LOGICAL_READ_B` bigint(4) DEFAULT NULL, `DISK_LOGICAL_WRITE_B` bigint(4) DEFAULT NULL, `DISK_PHYSICAL_READ_B` bigint(4) DEFAULT NULL, `DISK_PHYSICAL_WRITE_B` bigint(4) DEFAULT NULL, `LOCK_ROW_TIME_MS` bigint(4) DEFAULT NULL, `LOG_FLUSH_TIME_MS` bigint(4) DEFAULT NULL, `LOG_BUFFER_TIME_MS` bigint(4) DEFAULT NULL, `LOG_BUFFER_WRITE_B` bigint(4) DEFAULT NULL, `NETWORK_B` bigint(4) DEFAULT NULL, `NETWORK_LOGICAL_RECV_B` bigint(4) DEFAULT NULL, `NETWORK_LOGICAL_SEND_B` bigint(4) DEFAULT NULL, `MEMORY_BS` bigint(4) DEFAULT NULL, `MEMORY_MAJOR_FAULTS` bigint(4) DEFAULT NULL, `RUN_COUNT` bigint(4) NULL DEFAULT '0', `SUCCESS_COUNT` bigint(4) NULL DEFAULT '0', `FAILURE_COUNT` bigint(4) NULL DEFAULT '0', KEY (`cluster`, `ACTIVITY_TYPE`,`ACTIVITY_NAME`,`AGGREGATOR_ACTIVITY_NAME`,`DATABASE_NAME`,`NODE_ID`,`PARTITION_ID`,ts) USING CLUSTERED COLUMNSTORE, SHARD KEY() ); create table IF NOT EXISTS metrics.mv_queries ( `cluster` varchar(512) NOT NULL, `memsql_tags` JSON NOT NULL, `ts` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP, `ACTIVITY_NAME` varchar(512), `QUERY_TEXT` longtext, `PLAN_WARNINGS` varchar(8192), KEY (`cluster`, `ACTIVITY_NAME`) USING CLUSTERED COLUMNSTORE, SHARD KEY() ); create table IF NOT EXISTS metrics.cluster_info ( `cluster` varchar(512) NOT NULL, `memsql_tags` JSON NOT NULL, `ts` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP, `status` JSON NOT NULL, KEY (cluster, ts) USING CLUSTERED COLUMNSTORE, SHARD KEY() ); create table IF NOT EXISTS metrics.db_status ( `memsql_tags` JSON NOT NULL, `keys` JSON NOT NULL, `values` JSON NOT NULL, `ts` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP, `cluster` AS `memsql_tags`::$cluster PERSISTED TINYBLOB, database_name AS `keys`::$database_name PERSISTED TINYBLOB, `role` as `keys`::$role PERSISTED tinyblob, num_partitions as `values`::$num_partitions PERSISTED SMALLINT(6), `online` as `values`::$online PERSISTED SMALLINT(6), `offline` as `values`::$offline PERSISTED SMALLINT(6), replicating as `values`::$replicating PERSISTED SMALLINT(6), recovering as `values`::$recovering PERSISTED SMALLINT(6), pending as `values`::$pending PERSISTED SMALLINT(6), transition as `values`::$transition PERSISTED SMALLINT(6), unrecoverable as `values`::$unrecoverable PERSISTED SMALLINT(6), ref_db_state as `values`::$ref_db_state PERSISTED TINYBLOB, summary as `values`::$summary PERSISTED TINYBLOB, KEY (cluster, database_name, ts) USING CLUSTERED COLUMNSTORE, SHARD KEY() ); create table if not exists metrics.mv_events ( `memsql_tags` JSON NOT NULL, `keys` JSON NOT NULL, `values` JSON NOT NULL, ts TIMESTAMP NOT NULL DEFAULT CURRENT_TIMESTAMP, event_ts TIMESTAMP, `cluster` AS `memsql_tags`::$cluster PERSISTED TINYBLOB, `event_type` AS `keys`::$event_type PERSISTED TINYBLOB, `origin_node_id` AS `keys`::$origin_node_id PERSISTED SMALLINT, `ip_addr` AS `values`::$ip_addr PERSISTED TINYBLOB, `port` AS `values`::$port PERSISTED SMALLINT, `type` AS `values`::$type PERSISTED TINYBLOB, `severity` as `keys`::$severity PERSISTED TINYBLOB, `details` as `values`::$details PERSISTED TINYBLOB, KEY (cluster, origin_node_id, event_ts) USING CLUSTERED COLUMNSTORE, SHARD KEY() ); create table if not exists metrics.mv_nodes ( `memsql_tags` JSON NOT NULL, `keys` JSON NOT NULL, `values` JSON NOT NULL, `ts` TIMESTAMP NOT NULL DEFAULT CURRENT_TIMESTAMP, `cluster` AS `memsql_tags`::$cluster PERSISTED TINYBLOB, `node_id` AS `keys`::$node_id PERSISTED SMALLINT, `ip_addr` AS `keys`::$ip_addr PERSISTED TINYBLOB, `port` AS `keys`::$port PERSISTED SMALLINT, `role` AS `keys`::$role PERSISTED TINYBLOB, `external_host` AS `keys`::$external_host PERSISTED TINYBLOB, `external_port` AS `keys`::$external_port PERSISTED SMALLINT, `state` AS `values`::$state PERSISTED TINYBLOB, `availability_group` AS `values`::$availability_group PERSISTED SMALLINT, `num_cpus` AS `values`::$num_cpus PERSISTED BIGINT, `max_memory_mb` AS `values`::$max_memory_mb PERSISTED BIGINT, `max_table_memory_mb` AS `values`::$max_table_memory_mb PERSISTED BIGINT, `memory_used_mb` AS `values`::$memory_used_mb PERSISTED BIGINT, `table_memory_used_mb` AS `values`::$table_memory_used_mb PERSISTED BIGINT, `total_data_disk_mb` AS `values`::$total_data_disk_mb PERSISTED BIGINT, `available_data_disk_mb` AS `values`::$available_data_disk_mb PERSISTED BIGINT, `uptime` AS `values`::$uptime PERSISTED BIGINT, `version` AS `values`::$version PERSISTED TINYBLOB, KEY(`cluster`, `node_id`, `ts`) USING CLUSTERED COLUMNSTORE, SHARD KEY() ); create table if not exists metrics.purge_log ( `ts` TIMESTAMP NOT NULL DEFAULT CURRENT_TIMESTAMP, `hostport` TINYBLOB NOT NULL, `rows_deleted` BIGINT NOT NULL, `status` TINYBLOB NOT NULL, KEY(`ts`, `hostport`), SHARD KEY() ); delimiter // create or replace procedure metrics.purge_metrics(current_ts TIMESTAMP, current_hostport TINYBLOB, retention_period INT) AS declare rc int = 1; declare earliest_ts INT = UNIX_TIMESTAMP(TIMESTAMPADD(MINUTE, -retention_period, current_ts)); begin delete from metrics where ifnull(`memsql_tags`::$host, "") = current_hostport and time_sec < earliest_ts; rc = row_count(); update purge_log set rows_deleted = rows_deleted + rc where `hostport` = current_hostport and `ts` = current_ts; end // delimiter ; delimiter // create or replace procedure metrics.purge_blobs(current_ts TIMESTAMP, current_hostport TINYBLOB, retention_period INT) AS declare rc int = 1; declare earliest_ts TIMESTAMP = TIMESTAMPADD(MINUTE, -retention_period, current_ts); begin delete from act_samples where ifnull(`memsql_tags`::$host, "") = current_hostport and ts < earliest_ts; rc = row_count(); delete from mv_events where ifnull(`memsql_tags`::$host, "") = current_hostport and ts < earliest_ts; rc += row_count(); delete from mv_queries where ifnull(`memsql_tags`::$host, "") = current_hostport and ts < earliest_ts; rc += row_count(); delete from cluster_info where ifnull(`memsql_tags`::$host, "") = current_hostport and ts < earliest_ts; rc += row_count(); delete from db_status where ifnull(`memsql_tags`::$host, "") = current_hostport and ts < earliest_ts; rc += row_count(); delete from mv_nodes where ifnull(`memsql_tags`::$host, "") = current_hostport and ts < earliest_ts; rc += row_count(); update purge_log set rows_deleted = rows_deleted + rc where `hostport` = current_hostport and `ts` = current_ts; end // delimiter ; -- This procedure purges monitoring data that is older than the retention period set in the config table. -- To prevent overrunning this we use purge_log table in order to track when the last purge -- was completed. New purge process won't start unless at least some time passed since previous purge, -- controlled by `purge_frequency_minutes` in the config table. delimiter // CREATE or replace PROCEDURE metrics.purge_data(current_hostport TINYBLOB) AS declare need_purge_qry QUERY(need_purge BOOLEAN) = select (TIMESTAMPDIFF( MINUTE, (select ifnull(max(ts), from_unixtime(0)) from purge_log where hostport = current_hostport), CURRENT_TIMESTAMP() )>=(select ifnull(ANY_VALUE(purge_frequency_minutes), 60) from config where hostport = current_hostport) ); retention_period_qry QUERY(retention_period INT) = select ifnull(ANY_VALUE(retention_period_minutes), 10080) from config where hostport = current_hostport; retention_period INT = SCALAR(retention_period_qry); current_ts TIMESTAMP; begin IF SCALAR(need_purge_qry) THEN BEGIN select current_timestamp() into current_ts; insert into purge_log values (current_ts, current_hostport, 0, "RUNNING"); call purge_metrics(current_ts, current_hostport, retention_period); call purge_blobs(current_ts, current_hostport, retention_period); update purge_log set status = "FINISHED" where `ts` = current_ts; EXCEPTION WHEN OTHERS THEN update purge_log set status = "FAILED" where `ts` = current_ts and hostport = current_hostport; delete from purge_log where TIMESTAMPDIFF(MINUTE, ts, CURRENT_TIMESTAMP()) > 525600; END; END IF; end // delimiter ; delimiter // CREATE or replace PROCEDURE metrics.load_metrics (metrics_pipe query(`labels` JSON, `name` TINYBLOB, `memsql_tags` JSON COLLATE utf8_bin,`value` DOUBLE NOT NULL,`time_sec` BIGINT(20) NOT NULL)) AS DECLARE hostport TINYBLOB; BEGIN INSERT INTO metrics ( `labels`, `name`, `memsql_tags`, `value`, `time_sec` ) SELECT `labels`, `name`, `memsql_tags`, `value`, `time_sec` from metrics_pipe; SELECT IFNULL(ANY_VALUE(`memsql_tags`::$host), "") INTO hostport FROM metrics_pipe; CALL purge_data(hostport); END // delimiter ; delimiter // create or replace procedure metrics.load_blobs (blobs_pipe query(type text, `keys` JSON, `vals` JSON, time_sec bigint, `memsql_tags` JSON NULL)) AS DECLARE hostport TINYBLOB; begin insert into act_samples ( `cluster`, `memsql_tags`, `ts`, `ACTIVITY_TYPE`, `ACTIVITY_NAME`, `AGGREGATOR_ACTIVITY_NAME`, `NODE_ID`, `PARTITION_ID`, `DATABASE_NAME`, `CPU_TIME_MS`, `CPU_WAIT_TIME_MS`, `ELAPSED_TIME_MS`, `LOCK_TIME_MS` , `NETWORK_TIME_MS` , `DISK_TIME_MS`, `DISK_B`, `DISK_LOGICAL_READ_B`, `DISK_LOGICAL_WRITE_B`, `DISK_PHYSICAL_READ_B`, `DISK_PHYSICAL_WRITE_B`, `LOCK_ROW_TIME_MS`, `LOG_FLUSH_TIME_MS`, `LOG_BUFFER_TIME_MS`, `LOG_BUFFER_WRITE_B`, `NETWORK_B`, `NETWORK_LOGICAL_RECV_B`, `NETWORK_LOGICAL_SEND_B`, `MEMORY_BS`, `MEMORY_MAJOR_FAULTS`, `RUN_COUNT`, `SUCCESS_COUNT`, `FAILURE_COUNT` ) select `memsql_tags`::$cluster, `memsql_tags`, FROM_UNIXTIME(time_sec), `keys`::$activity_type, `keys`::$activity_name, `keys`::$aggregator_activity_name, `keys`::node_id, `keys`::partition_id, `keys`::$db_name, `vals`::cpu_time_ms, `vals`::cpu_wait_time_ms, `vals`::elapsed_time_ms, `vals`::lock_time_ms, `vals`::network_time_ms, `vals`::disk_time_ms, `vals`::disk_b, `vals`::disk_logical_read_b, `vals`::disk_logical_write_b, `vals`::disk_physical_read_b, `vals`::disk_physical_write_b, `vals`::lock_row_time_ms, `vals`::log_flush_time_ms, `vals`::log_buffer_time_ms, `vals`::log_buffer_write_b, `vals`::network_b, `vals`::network_logical_recv_b, `vals`::network_logical_send_b, `vals`::memory_bs, `vals`::memory_major_faults, `vals`::run_count, `vals`::success_count, `vals`::failure_count from blobs_pipe where type = 'activity'; insert into mv_events ( `memsql_tags`, `keys`, `values`, `ts`, `event_ts` ) select `memsql_tags`, `keys`, `vals`, FROM_UNIXTIME(time_sec), FROM_UNIXTIME(`keys`::$event_time) from blobs_pipe b left join (SELECT distinct cluster, origin_node_id, event_ts from mv_events) k ON b.`memsql_tags`::$cluster = k.cluster and b.`keys`::$origin_node_id = k.origin_node_id and b.`keys`::$event_time = k.event_ts where type = 'event' and k.cluster is null and k.origin_node_id is null; insert into mv_queries ( `cluster`, `ACTIVITY_NAME`, `memsql_tags`, `ts`, `QUERY_TEXT`, `PLAN_WARNINGS` ) select `memsql_tags`::$cluster, `keys`::$activity_name, -- memsql_tags and time_sec are the same for the whole batch ANY_VALUE(`memsql_tags`), FROM_UNIXTIME(ANY_VALUE(time_sec)), ANY_VALUE(`vals`::$query_text), ANY_VALUE(`vals`::$plan_warnings) from blobs_pipe b left join (SELECT distinct cluster, ACTIVITY_NAME from mv_queries) k ON b.`memsql_tags`::$cluster = k.cluster and b.`keys`::$activity_name = k.ACTIVITY_NAME where type = 'query' and k.cluster is null and k.ACTIVITY_NAME is null group by 1, 2; insert into cluster_info ( `cluster`, `memsql_tags`, `ts`, `status` ) select `memsql_tags`::$cluster, `memsql_tags`, FROM_UNIXTIME(time_sec), `vals` from blobs_pipe where type = 'cluster'; insert into db_status ( `memsql_tags`, `keys`, `values`, `ts` ) select `memsql_tags`, `keys`, `vals`, FROM_UNIXTIME(time_sec) from blobs_pipe where type = 'db_state'; insert into mv_nodes ( `memsql_tags`, `keys`, `values`, `ts` ) select `memsql_tags`, `keys`, `vals`, FROM_UNIXTIME(time_sec) from blobs_pipe where type = 'node'; SELECT IFNULL(ANY_VALUE(`memsql_tags`::$host), "") INTO hostport FROM blobs_pipe; CALL purge_data(hostport); end // delimiter ; -- Grafana Stuff delimiter // CREATE OR REPLACE FUNCTION metrics.`trim_metric`(input varchar(512) CHARACTER SET utf8 COLLATE utf8_general_ci NULL, prefix varchar(255) CHARACTER SET utf8 COLLATE utf8_general_ci NULL) RETURNS varchar(512) CHARACTER SET utf8 COLLATE utf8_general_ci NULL AS begin return CASE WHEN input is not null and prefix is not null and locate(prefix, input, 1) > 0 THEN UPPER(substr(input, locate(prefix, input, 1) + length(prefix), length(input) - length(prefix))) ELSE input end; end // delimiter ; delimiter // CREATE OR REPLACE FUNCTION metrics.`trim_host`(input varchar(512) CHARACTER SET utf8 COLLATE utf8_general_ci NULL, c int default 1) RETURNS varchar(512) CHARACTER SET utf8 COLLATE utf8_general_ci NULL AS begin return CASE WHEN input RLIKE '([[:digit:]]{1,3}\\.){3}[[:digit:]]{1,3}' THEN input ELSE substring_index(input, '.', c) end; end // delimiter ; -- helper table for integers 1..100 drop table if exists metrics.ints; create reference table metrics.ints ( f int key ); insert into metrics.ints values (1), (2), (3), (4), (5), (6), (7), (8), (9), (10), (11), (12), (13), (14), (15), (16), (17), (18), (19), (20), (21), (22), (23), (24), (25), (26), (27), (28), (29), (30), (31), (32), (33), (34), (35), (36), (37), (38), (39), (40), (41), (42), (43), (44), (45), (46), (47), (48), (49), (50), (51), (52), (53), (54), (55), (56), (57), (58), (59), (60), (61), (62), (63), (64), (65), (66), (67), (68), (69), (70), (71), (72), (73), (74), (75), (76), (77), (78), (79), (80), (81), (82), (83), (84), (85), (86), (87), (88), (89), (90), (91), (92), (93), (94), (95), (96), (97), (98), (99), (100);
metrics
Database DDL Variables
The following variables may be set via the metrics
DDL file instead of using command-line options when starting cluster monitoring.
Monitoring database name: Default is
metrics
.By default, the
metrics.config
table is empty. Thesdb-admin start-monitoring
command adds a new row to this table automatically when a new Source cluster is first monitored.In the case of multi-cluster monitoring, an existing monitoring configuration can be overridden for a specific Source cluster by manually adding a row to this table and specifying:
The
<exporter-host><exporter-port>
of the Source cluster, inhostport
formA
retention_period_minutes
value, in minutesA
purge_frequency_minutes
value, in minutesA
purge_limit
value, an integer
retention_period_minutes
=10080
minutes (default), which equals7
days: Period of time to retain monitoring data for a specific Source cluster.purge_frequency_minutes
=60
(default), minutes: Time between purges of expired monitoring data for a specific Source cluster.purge_limit
=10000
(default), integer: Maximum number of entries deleted during a monitoring data purge for a specific Source cluster.Purge log retention period =
525600
minutes (default), which equals365
days: Period of time to retain purge log entries.batch_interval
=15000
(default), milliseconds: Time interval between data collections.high_cardinality_metrics
=false
(default). When set totrue
, additional monitoring data is collected, and a higher load is placed on the Source cluster(s) during collection.monitoring_version
: No default. Can be specified as either Major.Minor version (such as7.3
) or Major.Minor.Patch version (such as7.3.25
)sample_queries
=true
(default): Controls whether the queries run on the Source cluster(s) also include the entire query text (frominformation_schema.mv_queries
). As query sampling is enabled by default, specifying a value offalse
, or using the--disable-sample-queries
option with thesdb-admin start-monitoring
command, will not collect query text.
Refer to sdb-admin start-monitoring for more information.
Pipelines DDL
Run the following in the SQL Editor in Studio, or your favorite SQL client.
Note: You must edit exporter-host
and port
in the following SQL statements to align with where your exporter process resides.
The
exporter-host
is typically the host of your Source cluster’s Master Aggregator that’s running the exporter, and must includehttp://
.The default port for the endpoint is
9104
.The IP address provided in the
exporter-host
argument must be resolvable by all hosts in the cluster. If the cluster you are monitoring has hosts that contain leaf nodes (as is common in a multi-host vs. single-host deployment), do not uselocalhost
. Instead, provide the explicit IP address or hostname that the other hosts in the cluster can resolve.
HTTP Connections
Start the
metrics
pipeline.CREATE OR REPLACE PIPELINE metrics.metrics AS LOAD DATA prometheus_exporter "http://<exporter-host>:<exporter-port>/cluster-metrics" CONFIG '{"is_memsql_internal":true, "high_cardinality_metrics":false, "monitoring_version":"<SingleStoreDB version of the 'metrics' cluster>"}' batch_interval 15000 INTO PROCEDURE `load_metrics` FORMAT JSON;
START PIPELINE IF NOT RUNNING metrics.metrics;
Start the
blobs
pipeline.CREATE OR REPLACE PIPELINE metrics.blobs AS LOAD DATA prometheus_exporter "http://<exporter-host>:<exporter-port>/samples" CONFIG '{"is_memsql_internal":true, "download_type":"samples", "sample_queries":true, "monitoring_version":"<SingleStoreDB version of the metrics cluster>"}' batch_interval 15000 INTO PROCEDURE `load_blobs` FORMAT JSON;
START PIPELINE IF NOT RUNNING metrics.blobs;
HTTPS Connections
Copy the CA certificate to the same file path on each host of the Metrics cluster.
Alternatively, a directory containing multiple CA certificates can be provided, and this path must be the same on all hosts. This directory will be used by the monitoring pipelines and must be readable by the user under which the nodes are running on the host (typically the
memsql
user).Start the
metrics
pipeline.CREATE OR REPLACE PIPELINE metrics.metrics AS LOAD DATA prometheus_exporter "https://<exporter-host>:<exporter-port>/cluster-metrics" CONFIG '{"is_memsql_internal":true, "high_cardinality_metrics":false, "monitoring_version":"<SingleStoreDB version of the 'metrics' cluster>", "ssl_ca":"path to ca cert" OR "ssl_capath":"path to ca dir"}' batch_interval 15000 INTO PROCEDURE `load_metrics` FORMAT JSON;
START PIPELINE IF NOT RUNNING metrics.metrics;
Start the
blobs
pipeline.CREATE OR REPLACE PIPELINE metrics.blobs AS LOAD DATA prometheus_exporter "https://<exporter-host>:<exporter-port>/samples" CONFIG '{"is_memsql_internal":true, "download_type":"samples", "sample_queries":true, "monitoring_version":"<SingleStoreDB version of the metrics cluster>", "ssl_ca":"path to ca cert" OR "ssl_capath":"path to ca dir"}' batch_interval 15000 INTO PROCEDURE `load_blobs` FORMAT JSON;
START PIPELINE IF NOT RUNNING metrics.blobs;
How to Stop the Monitoring Process
You may stop the monitoring process at any time by manually stopping the pipelines created earlier.
STOP PIPELINE metrics;
STOP PIPELINE blobs;