This topic describes the OBKV-Redis performance metrics related to the response time of SQL statements, namely the average time spent in processing an SQL statement, within a tenant. You can specify a statistical period to query these metrics of a tenant in a single zone or on a single OBServer node.
all
Definition
The average time spent in processing an SQL statement.
Description
| Metric category | Metric name | Unit |
|---|---|---|
| all | obkv_redis_sql_all_rt | μs |
Calculation expression
(sum(rate(ob_sysstat{stat_id="191644",@LABELS}[@INTERVAL])) by (@GBLABELS) + sum(rate(ob_sysstat{stat_id="191632",@LABELS}[@INTERVAL])) by (@GBLABELS) + sum(rate(ob_sysstat{stat_id="191590",@LABELS}[@INTERVAL])) by (@GBLABELS) + sum(rate(ob_sysstat{stat_id="191596",@LABELS}[@INTERVAL])) by (@GBLABELS) + sum(rate(ob_sysstat{stat_id="191510",@LABELS}[@INTERVAL])) by (@GBLABELS) + sum(rate(ob_sysstat{stat_id="191518",@LABELS}[@INTERVAL])) by (@GBLABELS) + sum(rate(ob_sysstat{stat_id="191542",@LABELS}[@INTERVAL])) by (@GBLABELS) + sum(rate(ob_sysstat{stat_id="191558",@LABELS}[@INTERVAL])) by (@GBLABELS)) / (sum(rate(ob_sysstat{stat_id="191643",@LABELS}[@INTERVAL])) by (@GBLABELS) + sum(rate(ob_sysstat{stat_id="191631",@LABELS}[@INTERVAL])) by (@GBLABELS) + sum(rate(ob_sysstat{stat_id="191589",@LABELS}[@INTERVAL])) by (@GBLABELS) + sum(rate(ob_sysstat{stat_id="191595",@LABELS}[@INTERVAL])) by (@GBLABELS) + sum(rate(ob_sysstat{stat_id="191509",@LABELS}[@INTERVAL])) by (@GBLABELS) + sum(rate(ob_sysstat{stat_id="191517",@LABELS}[@INTERVAL])) by (@GBLABELS) + sum(rate(ob_sysstat{stat_id="191541",@LABELS}[@INTERVAL])) by (@GBLABELS) + sum(rate(ob_sysstat{stat_id="191557",@LABELS}[@INTERVAL])) by (@GBLABELS))
SQL statements for metric collection
OceanBase Database V4.0 and later:
select /* MONITOR_AGENT */ con_id tenant_id, stat_id, value from v$sysstat where stat_id IN (191644, 191632, 191590, 191596, 191510, 191518, 191542, 191558, 191643, 191631, 191589, 191595, 191509, 191517, 191541, 191557) and (con_id > 1000 or con_id = 1)
set
Definition
The average time spent in processing a SET statement.
Description
| Metric category | Metric name | Unit |
|---|---|---|
| set | obkv_redis_sql_set_rt | μs |
Calculation expression
sum(rate(ob_sysstat{stat_id="191644",@LABELS}[@INTERVAL])) by (@GBLABELS) / sum(rate(ob_sysstat{stat_id="191643",@LABELS}[@INTERVAL])) by (@GBLABELS)
SQL statements for metric collection
OceanBase Database V4.0 and later:
select /* MONITOR_AGENT */ con_id tenant_id, stat_id, value from v$sysstat where stat_id IN (191644, 191643) and (con_id > 1000 or con_id = 1)
get
Definition
The average time spent in processing a GET statement.
Description
| Metric category | Metric name | Unit |
|---|---|---|
| get | obkv_redis_sql_get_rt | μs |
Calculation expression
sum(rate(ob_sysstat{stat_id="191632",@LABELS}[@INTERVAL])) by (@GBLABELS) / sum(rate(ob_sysstat{stat_id="191631",@LABELS}[@INTERVAL])) by (@GBLABELS)
SQL statements for metric collection
OceanBase Database V4.0 and later:
select /* MONITOR_AGENT */ con_id tenant_id, stat_id, value from v$sysstat where stat_id IN (191632, 191631) and (con_id > 1000 or con_id = 1)
hset
Definition
The average time spent in processing an HSET statement.
Description
| Metric category | Metric name | Unit |
|---|---|---|
| hset | obkv_redis_sql_hset_rt | μs |
Calculation expression
sum(rate(ob_sysstat{stat_id="191590",@LABELS}[@INTERVAL])) by (@GBLABELS) / sum(rate(ob_sysstat{stat_id="191589",@LABELS}[@INTERVAL])) by (@GBLABELS)
SQL statements for metric collection
OceanBase Database V4.0 and later:
select /* MONITOR_AGENT */ con_id tenant_id, stat_id, value from v$sysstat where stat_id IN (191590, 191589) and (con_id > 1000 or con_id = 1)
hget
Definition
The average time spent in processing an HGET statement.
Description
| Metric category | Metric name | Unit |
|---|---|---|
| hget | obkv_redis_sql_hget_rt | μs |
Calculation expression
sum(rate(ob_sysstat{stat_id="191596",@LABELS}[@INTERVAL])) by (@GBLABELS) / sum(rate(ob_sysstat{stat_id="191595",@LABELS}[@INTERVAL])) by (@GBLABELS)
SQL statements for metric collection
OceanBase Database V4.0 and later:
select /* MONITOR_AGENT */ con_id tenant_id, stat_id, value from v$sysstat where stat_id IN (191596, 191595) and (con_id > 1000 or con_id = 1)
lpush
Definition
The average time spent in processing an LPUSH statement.
Description
| Metric category | Metric name | Unit |
|---|---|---|
| lpush | obkv_redis_sql_lpush_rt | μs |
Calculation expression
sum(rate(ob_sysstat{stat_id="191510",@LABELS}[@INTERVAL])) by (@GBLABELS) / sum(rate(ob_sysstat{stat_id="191509",@LABELS}[@INTERVAL])) by (@GBLABELS)
SQL statements for metric collection
OceanBase Database V4.0 and later:
select /* MONITOR_AGENT */ con_id tenant_id, stat_id, value from v$sysstat where stat_id IN (191510, 191509) and (con_id > 1000 or con_id = 1)
lpop
Definition
The average time spent in processing an LPOP statement.
Description
| Metric category | Metric name | Unit |
|---|---|---|
| lpop | obkv_redis_sql_lpop_rt | μs |
Calculation expression
sum(rate(ob_sysstat{stat_id="191518",@LABELS}[@INTERVAL])) by (@GBLABELS) / sum(rate(ob_sysstat{stat_id="191517",@LABELS}[@INTERVAL])) by (@GBLABELS)
SQL statements for metric collection
OceanBase Database V4.0 and later:
select /* MONITOR_AGENT */ con_id tenant_id, stat_id, value from v$sysstat where stat_id IN (191518, 191517) and (con_id > 1000 or con_id = 1)
sadd
Definition
The average time spent in processing an SADD statement.
Description
| Metric category | Metric name | Unit |
|---|---|---|
| sadd | obkv_redis_sql_sadd_rt | μs |
Calculation expression
sum(rate(ob_sysstat{stat_id="191542",@LABELS}[@INTERVAL])) by (@GBLABELS) / sum(rate(ob_sysstat{stat_id="191541",@LABELS}[@INTERVAL])) by (@GBLABELS)
SQL statements for metric collection
OceanBase Database V4.0 and later:
select /* MONITOR_AGENT */ con_id tenant_id, stat_id, value from v$sysstat where stat_id IN (191542, 191541) and (con_id > 1000 or con_id = 1)
zadd
Definition
The average time spent in processing a ZADD statement.
Description
| Metric category | Metric name | Unit |
|---|---|---|
| zadd | obkv_redis_sql_zadd_rt | μs |
Calculation expression
sum(rate(ob_sysstat{stat_id="191558",@LABELS}[@INTERVAL])) by (@GBLABELS) / sum(rate(ob_sysstat{stat_id="191557",@LABELS}[@INTERVAL])) by (@GBLABELS)
SQL statements for metric collection
OceanBase Database V4.0 and later:
select /* MONITOR_AGENT */ con_id tenant_id, stat_id, value from v$sysstat where stat_id IN (191558, 191557) and (con_id > 1000 or con_id = 1)
99-all
Definition
The average time spent in processing an SQL statement (TP99).
Description
| Metric category | Metric name | Unit |
|---|---|---|
| 99-all | obkv_redis_sql_all_rt_tp99 | μs |
Calculation expression
histogram_quantile(0.99, sum(rate(ob_query_rt_cumulative_count{sql_type="REDIS SET", @LABELS}[@INTERVAL])) by (@GBLABELS,le) FILL_0_ADD sum(rate(ob_query_rt_cumulative_count{sql_type="REDIS GET", @LABELS}[@INTERVAL])) by (@GBLABELS,le) FILL_0_ADD sum(rate(ob_query_rt_cumulative_count{sql_type="REDIS HSET", @LABELS}[@INTERVAL])) by (@GBLABELS,le) FILL_0_ADD sum(rate(ob_query_rt_cumulative_count{sql_type="REDIS HGET", @LABELS}[@INTERVAL])) by (@GBLABELS,le) FILL_0_ADD sum(rate(ob_query_rt_cumulative_count{sql_type="REDIS LPUSH", @LABELS}[@INTERVAL])) by (@GBLABELS,le) FILL_0_ADD sum(rate(ob_query_rt_cumulative_count{sql_type="REDIS LPOP", @LABELS}[@INTERVAL])) by (@GBLABELS,le) FILL_0_ADD sum(rate(ob_query_rt_cumulative_count{sql_type="REDIS SADD", @LABELS}[@INTERVAL])) by (@GBLABELS,le) FILL_0_ADD sum(rate(ob_query_rt_cumulative_count{sql_type="REDIS ZADD", @LABELS}[@INTERVAL])) by (@GBLABELS,le))
SQL statements for metric collection
WITH histogram_data AS (SELECT t1.tenant_id, t1.svr_ip, t1.sql_type, CASE WHEN t1.response_time >= t0.max_rt THEN '+Inf' ELSE t1.response_time * 1000000 END AS response_time, t1.total_count, t1.total_value * 1000000 AS total_value, SUM(t2.total_count) AS cumulative_count, SUM(t2.total_value) * 1000000 AS cumulative_value FROM (SELECT MAX(response_time) AS max_rt FROM gv$ob_query_response_time_histogram) t0 JOIN (SELECT tenant_id, svr_ip, sql_type, response_time, SUM(count) AS total_count, SUM(total) AS total_value FROM gv$ob_query_response_time_histogram GROUP BY response_time, tenant_id, svr_ip, sql_type) t1 ON 1=1 INNER JOIN (SELECT tenant_id, svr_ip, sql_type, response_time, SUM(count) AS total_count, SUM(total) AS total_value FROM gv$ob_query_response_time_histogram GROUP BY response_time, tenant_id, svr_ip, sql_type) t2 ON t1.response_time >= t2.response_time AND t1.tenant_id = t2.tenant_id AND t1.svr_ip = t2.svr_ip AND t1.sql_type = t2.sql_type WHERE t1.svr_ip = ? AND t1.sql_type IN ('SELECT', 'INSERT', 'DELETE', 'UPDATE', 'REPLACE', 'COMMIT', 'OTHER', 'INNER SQL', 'TABLEAPI SELECT', 'TABLEAPI INSERT', 'TABLEAPI DELETE', 'TABLEAPI UPDATE', 'TABLEAPI REPLACE', 'TABLEAPI QUERY AND MUTATE', 'TABLEAPI OTHER', 'HBASE SCAN', 'HBASE PUT', 'HBASE DELETE', 'HBASE APPEND', 'HBASE INCREMENT', 'HBASE CHECK AND PUT', 'HBASE CHECK AND DELETE', 'HBASE HYBRID BATCH', 'REDIS SET', 'REDIS GET', 'REDIS HSET', 'REDIS HGET', 'REDIS LPUSH', 'REDIS LPOP', 'REDIS SADD', 'REDIS ZADD') GROUP BY t1.response_time, t1.tenant_id, t1.sql_type) SELECT * FROM (SELECT tenant_id, svr_ip, sql_type, response_time, cumulative_count FROM histogram_data WHERE sql_type NOT LIKE 'TABLEAPI %' AND sql_type NOT LIKE 'HBASE %' AND sql_type NOT LIKE 'REDIS %' AND EXISTS (SELECT 1 FROM histogram_data g WHERE g.sql_type = sql_type AND cumulative_count > 0) UNION SELECT tenant_id, svr_ip, sql_type, response_time, cumulative_count FROM histogram_data WHERE sql_type LIKE 'TABLEAPI %' AND EXISTS (SELECT 1 FROM histogram_data g WHERE g.sql_type LIKE 'TABLEAPI %' AND cumulative_count > 0) UNION SELECT tenant_id, svr_ip, sql_type, response_time, cumulative_count FROM histogram_data WHERE sql_type LIKE 'HBASE %' AND EXISTS (SELECT 1 FROM histogram_data g WHERE g.sql_type LIKE 'HBASE %' AND cumulative_count > 0) UNION SELECT tenant_id, svr_ip, sql_type, response_time, cumulative_count FROM histogram_data WHERE sql_type LIKE 'REDIS %' AND EXISTS (SELECT 1 FROM histogram_data g WHERE g.sql_type LIKE 'REDIS %' AND cumulative_count > 0)) all_histogram_data ORDER BY tenant_id, svr_ip, sql_type, response_time
95-all
Definition
The average time spent in processing an SQL statement (TP95).
Description
| Metric category | Metric name | Unit |
|---|---|---|
| 95-all | obkv_redis_sql_all_rt_tp95 | μs |
Calculation expression
histogram_quantile(0.95, sum(rate(ob_query_rt_cumulative_count{sql_type="REDIS SET", @LABELS}[@INTERVAL])) by (@GBLABELS,le) FILL_0_ADD sum(rate(ob_query_rt_cumulative_count{sql_type="REDIS GET", @LABELS}[@INTERVAL])) by (@GBLABELS,le) FILL_0_ADD sum(rate(ob_query_rt_cumulative_count{sql_type="REDIS HSET", @LABELS}[@INTERVAL])) by (@GBLABELS,le) FILL_0_ADD sum(rate(ob_query_rt_cumulative_count{sql_type="REDIS HGET", @LABELS}[@INTERVAL])) by (@GBLABELS,le) FILL_0_ADD sum(rate(ob_query_rt_cumulative_count{sql_type="REDIS LPUSH", @LABELS}[@INTERVAL])) by (@GBLABELS,le) FILL_0_ADD sum(rate(ob_query_rt_cumulative_count{sql_type="REDIS LPOP", @LABELS}[@INTERVAL])) by (@GBLABELS,le) FILL_0_ADD sum(rate(ob_query_rt_cumulative_count{sql_type="REDIS SADD", @LABELS}[@INTERVAL])) by (@GBLABELS,le) FILL_0_ADD sum(rate(ob_query_rt_cumulative_count{sql_type="REDIS ZADD", @LABELS}[@INTERVAL])) by (@GBLABELS,le))
SQL statements for metric collection
WITH histogram_data AS (SELECT t1.tenant_id, t1.svr_ip, t1.sql_type, CASE WHEN t1.response_time >= t0.max_rt THEN '+Inf' ELSE t1.response_time * 1000000 END AS response_time, t1.total_count, t1.total_value * 1000000 AS total_value, SUM(t2.total_count) AS cumulative_count, SUM(t2.total_value) * 1000000 AS cumulative_value FROM (SELECT MAX(response_time) AS max_rt FROM gv$ob_query_response_time_histogram) t0 JOIN (SELECT tenant_id, svr_ip, sql_type, response_time, SUM(count) AS total_count, SUM(total) AS total_value FROM gv$ob_query_response_time_histogram GROUP BY response_time, tenant_id, svr_ip, sql_type) t1 ON 1=1 INNER JOIN (SELECT tenant_id, svr_ip, sql_type, response_time, SUM(count) AS total_count, SUM(total) AS total_value FROM gv$ob_query_response_time_histogram GROUP BY response_time, tenant_id, svr_ip, sql_type) t2 ON t1.response_time >= t2.response_time AND t1.tenant_id = t2.tenant_id AND t1.svr_ip = t2.svr_ip AND t1.sql_type = t2.sql_type WHERE t1.svr_ip = ? AND t1.sql_type IN ('SELECT', 'INSERT', 'DELETE', 'UPDATE', 'REPLACE', 'COMMIT', 'OTHER', 'INNER SQL', 'TABLEAPI SELECT', 'TABLEAPI INSERT', 'TABLEAPI DELETE', 'TABLEAPI UPDATE', 'TABLEAPI REPLACE', 'TABLEAPI QUERY AND MUTATE', 'TABLEAPI OTHER', 'HBASE SCAN', 'HBASE PUT', 'HBASE DELETE', 'HBASE APPEND', 'HBASE INCREMENT', 'HBASE CHECK AND PUT', 'HBASE CHECK AND DELETE', 'HBASE HYBRID BATCH', 'REDIS SET', 'REDIS GET', 'REDIS HSET', 'REDIS HGET', 'REDIS LPUSH', 'REDIS LPOP', 'REDIS SADD', 'REDIS ZADD') GROUP BY t1.response_time, t1.tenant_id, t1.sql_type) SELECT * FROM (SELECT tenant_id, svr_ip, sql_type, response_time, cumulative_count FROM histogram_data WHERE sql_type NOT LIKE 'TABLEAPI %' AND sql_type NOT LIKE 'HBASE %' AND sql_type NOT LIKE 'REDIS %' AND EXISTS (SELECT 1 FROM histogram_data g WHERE g.sql_type = sql_type AND cumulative_count > 0) UNION SELECT tenant_id, svr_ip, sql_type, response_time, cumulative_count FROM histogram_data WHERE sql_type LIKE 'TABLEAPI %' AND EXISTS (SELECT 1 FROM histogram_data g WHERE g.sql_type LIKE 'TABLEAPI %' AND cumulative_count > 0) UNION SELECT tenant_id, svr_ip, sql_type, response_time, cumulative_count FROM histogram_data WHERE sql_type LIKE 'HBASE %' AND EXISTS (SELECT 1 FROM histogram_data g WHERE g.sql_type LIKE 'HBASE %' AND cumulative_count > 0) UNION SELECT tenant_id, svr_ip, sql_type, response_time, cumulative_count FROM histogram_data WHERE sql_type LIKE 'REDIS %' AND EXISTS (SELECT 1 FROM histogram_data g WHERE g.sql_type LIKE 'REDIS %' AND cumulative_count > 0)) all_histogram_data ORDER BY tenant_id, svr_ip, sql_type, response_time
90-all
Definition
The average time spent in processing an SQL statement (TP90).
Description
| Metric category | Metric name | Unit |
|---|---|---|
| 90-all | obkv_redis_sql_all_rt_tp90 | μs |
Calculation expression
histogram_quantile(0.90, sum(rate(ob_query_rt_cumulative_count{sql_type="REDIS SET", @LABELS}[@INTERVAL])) by (@GBLABELS,le) FILL_0_ADD sum(rate(ob_query_rt_cumulative_count{sql_type="REDIS GET", @LABELS}[@INTERVAL])) by (@GBLABELS,le) FILL_0_ADD sum(rate(ob_query_rt_cumulative_count{sql_type="REDIS HSET", @LABELS}[@INTERVAL])) by (@GBLABELS,le) FILL_0_ADD sum(rate(ob_query_rt_cumulative_count{sql_type="REDIS HGET", @LABELS}[@INTERVAL])) by (@GBLABELS,le) FILL_0_ADD sum(rate(ob_query_rt_cumulative_count{sql_type="REDIS LPUSH", @LABELS}[@INTERVAL])) by (@GBLABELS,le) FILL_0_ADD sum(rate(ob_query_rt_cumulative_count{sql_type="REDIS LPOP", @LABELS}[@INTERVAL])) by (@GBLABELS,le) FILL_0_ADD sum(rate(ob_query_rt_cumulative_count{sql_type="REDIS SADD", @LABELS}[@INTERVAL])) by (@GBLABELS,le) FILL_0_ADD sum(rate(ob_query_rt_cumulative_count{sql_type="REDIS ZADD", @LABELS}[@INTERVAL])) by (@GBLABELS,le))
SQL statements for metric collection
WITH histogram_data AS (SELECT t1.tenant_id, t1.svr_ip, t1.sql_type, CASE WHEN t1.response_time >= t0.max_rt THEN '+Inf' ELSE t1.response_time * 1000000 END AS response_time, t1.total_count, t1.total_value * 1000000 AS total_value, SUM(t2.total_count) AS cumulative_count, SUM(t2.total_value) * 1000000 AS cumulative_value FROM (SELECT MAX(response_time) AS max_rt FROM gv$ob_query_response_time_histogram) t0 JOIN (SELECT tenant_id, svr_ip, sql_type, response_time, SUM(count) AS total_count, SUM(total) AS total_value FROM gv$ob_query_response_time_histogram GROUP BY response_time, tenant_id, svr_ip, sql_type) t1 ON 1=1 INNER JOIN (SELECT tenant_id, svr_ip, sql_type, response_time, SUM(count) AS total_count, SUM(total) AS total_value FROM gv$ob_query_response_time_histogram GROUP BY response_time, tenant_id, svr_ip, sql_type) t2 ON t1.response_time >= t2.response_time AND t1.tenant_id = t2.tenant_id AND t1.svr_ip = t2.svr_ip AND t1.sql_type = t2.sql_type WHERE t1.svr_ip = ? AND t1.sql_type IN ('SELECT', 'INSERT', 'DELETE', 'UPDATE', 'REPLACE', 'COMMIT', 'OTHER', 'INNER SQL', 'TABLEAPI SELECT', 'TABLEAPI INSERT', 'TABLEAPI DELETE', 'TABLEAPI UPDATE', 'TABLEAPI REPLACE', 'TABLEAPI QUERY AND MUTATE', 'TABLEAPI OTHER', 'HBASE SCAN', 'HBASE PUT', 'HBASE DELETE', 'HBASE APPEND', 'HBASE INCREMENT', 'HBASE CHECK AND PUT', 'HBASE CHECK AND DELETE', 'HBASE HYBRID BATCH', 'REDIS SET', 'REDIS GET', 'REDIS HSET', 'REDIS HGET', 'REDIS LPUSH', 'REDIS LPOP', 'REDIS SADD', 'REDIS ZADD') GROUP BY t1.response_time, t1.tenant_id, t1.sql_type) SELECT * FROM (SELECT tenant_id, svr_ip, sql_type, response_time, cumulative_count FROM histogram_data WHERE sql_type NOT LIKE 'TABLEAPI %' AND sql_type NOT LIKE 'HBASE %' AND sql_type NOT LIKE 'REDIS %' AND EXISTS (SELECT 1 FROM histogram_data g WHERE g.sql_type = sql_type AND cumulative_count > 0) UNION SELECT tenant_id, svr_ip, sql_type, response_time, cumulative_count FROM histogram_data WHERE sql_type LIKE 'TABLEAPI %' AND EXISTS (SELECT 1 FROM histogram_data g WHERE g.sql_type LIKE 'TABLEAPI %' AND cumulative_count > 0) UNION SELECT tenant_id, svr_ip, sql_type, response_time, cumulative_count FROM histogram_data WHERE sql_type LIKE 'HBASE %' AND EXISTS (SELECT 1 FROM histogram_data g WHERE g.sql_type LIKE 'HBASE %' AND cumulative_count > 0) UNION SELECT tenant_id, svr_ip, sql_type, response_time, cumulative_count FROM histogram_data WHERE sql_type LIKE 'REDIS %' AND EXISTS (SELECT 1 FROM histogram_data g WHERE g.sql_type LIKE 'REDIS %' AND cumulative_count > 0)) all_histogram_data ORDER BY tenant_id, svr_ip, sql_type, response_time
