Manticore Search Manual

Manticore Search 接受 USR1 信号以重新打开服务器和查询日志文件。

官方 DEB 和 RPM 安装包为默认日志文件夹中的所有文件安装了 Logrotate 配置文件。

一个简单的日志轮转配置示例如下：

/var/log/manticore/*.log {
       weekly
       rotate 10
       copytruncate
       delaycompress
       compress
       notifempty
       missingok
}

mysql> FLUSH LOGS;
Query OK, 0 rows affected (0.01 sec)

此外，还提供了 FLUSH LOGS SQL 命令，其作用方式与 USR1 系统信号相同。它会启动 searchd 日志和查询日志文件的重新打开操作，从而允许您实现日志文件的轮转。该命令是非阻塞的（即，它会立即返回）。

节点状态

Last modified: August 28, 2025

≫ 节点信息和管理

通过在MySQL客户端运行status可以查看关于Manticore节点的高级信息。它将显示各种方面的信息，例如：

当前版本
是否启用SSL
当前TCP端口/Unix套接字
运行时间
线程数量（参见此处）
队列中的任务数量（参见此处）
连接数（clients）
当前正在处理的任务数
自启动以来执行的查询数
根据线程数量归一化的队列中的任务数和任务数

‹›

SQL

📋

mysql> status

‹›

Response

--------------
mysql  Ver 14.14 Distrib 5.7.30, for Linux (x86_64) using  EditLine wrapper
Connection id:      378
Current database:   Manticore
Current user:       Usual
SSL:            Not in use
Current pager:      stdout
Using outfile:      ''
Using delimiter:    ;
Server version:     3.4.3 a48c61d6@200702 coroutines git branch coroutines_work_junk...origin/coroutines_work_junk
Protocol version:   10
Connection:     0 via TCP/IP
Server characterset:
Db     characterset:
Client characterset:    utf8
Conn.  characterset:    utf8
TCP port:       8306
Uptime:         23 hours 6 sec
Threads: 12  Queue: 3  Clients: 1  Vip clients: 0  Tasks: 5  Queries: 318967  Wall: 7h  CPU: 0us
Queue/Th: 0.2  Tasks/Th: 0.4
--------------

SHOW STATUS [ LIKE pattern ]

SHOW STATUS是一个SQL语句，提供了各种有用的性能计数器。IO和CPU计数器仅在searchd以--iostats和--cpustats开关启动时或通过SET GLOBAL iostats/cpustats=1启用时可用。

‹›

SQL

📋

SHOW STATUS;

‹›

Response

+-------------------------------+------------------------------------------------------------------------------------------------------------------------------------------------+
| Counter                       | Value                                                                                                                                          |
+-------------------------------+------------------------------------------------------------------------------------------------------------------------------------------------+
| uptime                        | 182                                                                                                                                            |
| connections                   | 368                                                                                                                                            |
| maxed_out                     | 0                                                                                                                                              |
| version                       | 6.3.7 b10359434@24100213 dev (columnar 2.3.1 bd59d08@24093015) (secondary 2.3.1 bd59d08@24093015) (knn 2.3.1 bd59d08@24093015) (buddy v2.3.13) |
| mysql_version                 | 6.3.7 b10359434@24100213 dev (columnar 2.3.1 bd59d08@24093015) (secondary 2.3.1 bd59d08@24093015) (knn 2.3.1 bd59d08@24093015)                 |
| command_search                | 4                                                                                                                                              |
| command_excerpt               | 0                                                                                                                                              |
| command_update                | 2                                                                                                                                              |
| command_keywords              | 0                                                                                                                                              |
| command_persist               | 0                                                                                                                                              |
| command_status                | 8                                                                                                                                              |
| command_flushattrs            | 0                                                                                                                                              |
| command_sphinxql              | 0                                                                                                                                              |
| command_ping                  | 0                                                                                                                                              |
| command_delete                | 3                                                                                                                                              |
| command_set                   | 0                                                                                                                                              |
| command_insert                | 3                                                                                                                                              |
| command_replace               | 3                                                                                                                                              |
| command_commit                | 0                                                                                                                                              |
| command_suggest               | 0                                                                                                                                              |
| command_json                  | 0                                                                                                                                              |
| command_callpq                | 0                                                                                                                                              |
| command_cluster               | 0                                                                                                                                              |
| command_getfield              | 0                                                                                                                                              |
| insert_replace_stats_ms_avg   | 42.625 35.895 35.895                                                                                                                           |
| insert_replace_stats_ms_min   | 0.096 0.096 0.096                                                                                                                              |
| insert_replace_stats_ms_max   | 85.154 85.154 85.154                                                                                                                           |
| insert_replace_stats_ms_pct95 | 42.625 42.625 42.625                                                                                                                           |
| insert_replace_stats_ms_pct99 | 42.625 42.625 42.625                                                                                                                           |
| search_stats_ms_avg           | 0.209 0.188 0.188                                                                                                                              |
| search_stats_ms_min           | 0.205 0.058 0.058                                                                                                                              |
| search_stats_ms_max           | 0.214 0.278 0.278                                                                                                                              |
| search_stats_ms_pct95         | 0.214 0.278 0.278                                                                                                                              |
| search_stats_ms_pct99         | 0.214 0.278 0.278                                                                                                                              |
| update_stats_ms_avg           | 0.024 0.024 0.024                                                                                                                              |
| update_stats_ms_min           | 0.007 0.007 0.007                                                                                                                              |
| update_stats_ms_max           | 0.042 0.042 0.042                                                                                                                              |
| update_stats_ms_pct95         | 0.042 0.042 0.042                                                                                                                              |
| update_stats_ms_pct99         | 0.042 0.042 0.042                                                                                                                              |
| agent_connect                 | 0                                                                                                                                              |
| agent_tfo                     | 0                                                                                                                                              |
| agent_retry                   | 0                                                                                                                                              |
| queries                       | 6                                                                                                                                              |
| dist_queries                  | 0                                                                                                                                              |
| workers_total                 | 32                                                                                                                                             |
| workers_active                | 3                                                                                                                                              |
| workers_clients               | 1                                                                                                                                              |
| workers_clients_vip           | 0                                                                                                                                              |
| workers_clients_buddy         | 1                                                                                                                                              |
| work_queue_length             | 6                                                                                                                                              |
| load                          | 0.03 0.03 0.03                                                                                                                                 |
| load_primary                  | 0.00 0.00 0.00                                                                                                                                 |
| load_secondary                | 0.00 0.00 0.00                                                                                                                                 |
| query_wall                    | 0.000                                                                                                                                          |
| query_cpu                     | OFF                                                                                                                                            |
| dist_wall                     | 0.000                                                                                                                                          |
| dist_local                    | 0.000                                                                                                                                          |
| dist_wait                     | 0.000                                                                                                                                          |
| query_reads                   | OFF                                                                                                                                            |
| query_readkb                  | OFF                                                                                                                                            |
| query_readtime                | OFF                                                                                                                                            |
| avg_query_wall                | 0.000                                                                                                                                          |
| avg_query_cpu                 | OFF                                                                                                                                            |
| avg_dist_wall                 | 0.000                                                                                                                                          |
| avg_dist_local                | 0.000                                                                                                                                          |
| avg_dist_wait                 | 0.000                                                                                                                                          |
| avg_query_reads               | OFF                                                                                                                                            |
| avg_query_readkb              | OFF                                                                                                                                            |
| avg_query_readtime            | OFF                                                                                                                                            |
| qcache_max_bytes              | 16777216                                                                                                                                       |
| qcache_thresh_msec            | 3000                                                                                                                                           |
| qcache_ttl_sec                | 60                                                                                                                                             |
| qcache_cached_queries         | 0                                                                                                                                              |
| qcache_used_bytes             | 0                                                                                                                                              |
| qcache_hits                   | 0                                                                                                                                              |
+-------------------------------+------------------------------------------------------------------------------------------------------------------------------------------------+

支持可选的LIKE子句，允许您选择仅匹配特定模式的变量。模式语法遵循标准SQL通配符，其中%表示任意数量的任何字符，而_表示一个字符。

‹›

qcache
perf_stats

📋

SHOW STATUS LIKE 'qcache%';

‹›

Response

+-----------------------+-------+
| Counter               | Value |
+-----------------------+-------+
| qcache_max_bytes      | 0     |
| qcache_thresh_msec    | 3000  |
| qcache_ttl_sec        | 60    |
| qcache_cached_queries | 0     |
| qcache_used_bytes     | 0     |
| qcache_hits           | 0     |
+-----------------------+-------+

SHOW STATUS命令提供了Manticore中各种性能指标的详细报告，包括插入/替换、搜索和更新查询的时间统计。这些统计数据是在1分钟、5分钟和15分钟的滑动窗口上计算的，显示了每种查询类型的时间的平均值、最小值、最大值以及95%和99%分位数。

这些指标有助于跟踪特定时间段内的性能，使发现查询响应时间的趋势和可能瓶颈变得更加容易。

以下是SHOW STATUS输出的一部分指标：

*_avg：每种查询类型的平均查询时间，分别在过去1分钟、5分钟和15分钟内。
*_min：每种查询类型记录的最短查询时间。
*_max：每种查询类型记录的最长查询时间。
*_pct95：完成95%查询所需的时间。
*_pct99：完成99%查询所需的时间。

这些统计数据分别提供给插入/替换（insert_replace_stats_*）、搜索（search_stats_*）和更新（update_stats_*）查询，提供了不同操作性能的详细见解。

如果在监控间隔内没有执行查询，则系统将显示N/A。

‹›

perf_stats

perf_stats

📋

SHOW STATUS LIKE '%stats_ms%';

‹›

Response

+-------------------------------+-------------------+
| Counter                       | Value             |
+-------------------------------+-------------------+
| insert_replace_stats_ms_avg   | N/A 35.895 35.895 |
| insert_replace_stats_ms_min   | N/A 0.096 0.096   |
| insert_replace_stats_ms_max   | N/A 85.154 85.154 |
| insert_replace_stats_ms_pct95 | N/A 42.625 42.625 |
| insert_replace_stats_ms_pct99 | N/A 42.625 42.625 |
| search_stats_ms_avg           | N/A 0.188 0.188   |
| search_stats_ms_min           | N/A 0.058 0.058   |
| search_stats_ms_max           | N/A 0.278 0.278   |
| search_stats_ms_pct95         | N/A 0.278 0.278   |
| search_stats_ms_pct99         | N/A 0.278 0.278   |
| update_stats_ms_avg           | N/A 0.024 0.024   |
| update_stats_ms_min           | N/A 0.007 0.007   |
| update_stats_ms_max           | N/A 0.042 0.042   |
| update_stats_ms_pct95         | N/A 0.042 0.042   |
| update_stats_ms_pct99         | N/A 0.042 0.042   |
+-------------------------------+-------------------+

SHOW SETTINGS是一个SQL语句，显示配置文件中的当前设置。设置名称以以下格式表示：'config_section_name'.'setting_name'

结果还包括两个额外的值：

configuration_file - 配置文件路径
worker_pid - 运行中的searchd实例的进程ID

‹›

SQL

📋

SHOW SETTINGS;

‹›

Response

+--------------------------+-------------------------------------+
| Setting_name             | Value                               |
+--------------------------+-------------------------------------+
| configuration_file       | /etc/manticoresearch/manticore.conf |
| worker_pid               | 658                                 |
| searchd.listen           | 0.0.0:9312                          |
| searchd.listen           | 0.0.0:9306:mysql                    |
| searchd.listen           | 0.0.0:9308:http                     |
| searchd.log              | /var/log/manticore/searchd.log      |
| searchd.query_log        | /var/log/manticore/query.log        |
| searchd.pid_file         | /run/manticore/searchd.pid          |
| searchd.data_dir         | /var/lib/manticore                  |
| searchd.query_log_format | sphinxql                            |
| searchd.binlog_path      | /var/lib/manticore/binlog           |
| common.plugin_dir        | /usr/local/lib/manticore            |
| common.lemmatizer_base   | /usr/share/manticore/morph/         |
+--------------------------+-------------------------------------+
13 rows in set (0.00 sec)

SHOW AGENT ['agent_or_index'] STATUS [ LIKE pattern ]

SHOW AGENT 状态显示远程代理或分布式表的统计信息。它包括诸如上次请求的年龄、最后回答的年龄、各种类型错误和成功的数量等值。统计信息按ha_period_karma秒为单位，显示每个代理过去1分钟、5分钟和15分钟的统计信息。

‹›

SQL
PHP
Python
Python-asyncio
javascript
Java
C#
Rust
TypeScript
Go

📋

SHOW AGENT STATUS;

$client->nodes()->agentstatus();

utilsApi.sql('SHOW AGENT STATUS')

await utilsApi.sql('SHOW AGENT STATUS')

res = await utilsApi.sql("SHOW AGENT STATUS");

utilsApi.sql("SHOW AGENT STATUS");

utilsApi.Sql("SHOW AGENT STATUS");

utils_api.sql("SHOW AGENT STATUS", Some(true)).await;

res = await utilsApi.sql("SHOW AGENT STATUS");

res := apiClient.UtilsAPI.Sql(context.Background()).Body("SHOW AGENT STATUS").Execute()

‹›

Response

+------------------------------------+----------------------------+
| Variable_name                      | Value                      |
+------------------------------------+----------------------------+
| status_period_seconds              | 60                         |
| status_stored_periods              | 15                         |
| ag_0_hostname                      | 192.168.0.202:6713         |
| ag_0_references                    | 2                          |
| ag_0_lastquery                     | 0.41                       |
| ag_0_lastanswer                    | 0.19                       |
| ag_0_lastperiodmsec                | 222                        |
| ag_0_pingtripmsec                  | 10.521                     |
| ag_0_errorsarow                    | 0                          |
| ag_0_1periods_query_timeouts       | 0                          |
| ag_0_1periods_connect_timeouts     | 0                          |
| ag_0_1periods_connect_failures     | 0                          |
| ag_0_1periods_network_errors       | 0                          |
| ag_0_1periods_wrong_replies        | 0                          |
| ag_0_1periods_unexpected_closings  | 0                          |
| ag_0_1periods_warnings             | 0                          |
| ag_0_1periods_succeeded_queries    | 27                         |
| ag_0_1periods_msecsperquery        | 232.31                     |
| ag_0_5periods_query_timeouts       | 0                          |
| ag_0_5periods_connect_timeouts     | 0                          |
| ag_0_5periods_connect_failures     | 0                          |
| ag_0_5periods_network_errors       | 0                          |
| ag_0_5periods_wrong_replies        | 0                          |
| ag_0_5periods_unexpected_closings  | 0                          |
| ag_0_5periods_warnings             | 0                          |
| ag_0_5periods_succeeded_queries    | 146                        |
| ag_0_5periods_msecsperquery        | 231.83                     |
| ag_1_hostname                      | 192.168.0.202:6714         |
| ag_1_references                    | 2                          |
| ag_1_lastquery                     | 0.41                       |
| ag_1_lastanswer                    | 0.19                       |
| ag_1_lastperiodmsec                | 220                        |
| ag_1_pingtripmsec                  | 10.004                     |
| ag_1_errorsarow                    | 0                          |
| ag_1_1periods_query_timeouts       | 0                          |
| ag_1_1periods_connect_timeouts     | 0                          |
| ag_1_1periods_connect_failures     | 0                          |
| ag_1_1periods_network_errors       | 0                          |
| ag_1_1periods_wrong_replies        | 0                          |
| ag_1_1periods_unexpected_closings  | 0                          |
| ag_1_1periods_warnings             | 0                          |
| ag_1_1periods_succeeded_queries    | 27                         |
| ag_1_1periods_msecsperquery        | 231.24                     |
| ag_1_5periods_query_timeouts       | 0                          |
| ag_1_5periods_connect_timeouts     | 0                          |
| ag_1_5periods_connect_failures     | 0                          |
| ag_1_5periods_network_errors       | 0                          |
| ag_1_5periods_wrong_replies        | 0                          |
| ag_1_5periods_unexpected_closings  | 0                          |
| ag_1_5periods_warnings             | 0                          |
| ag_1_5periods_succeeded_queries    | 146                        |
| ag_1_5periods_msecsperquery        | 230.85                     |
+------------------------------------+----------------------------+
50 rows in set (0.01 sec)

Array(
    [status_period_seconds] => 60
    [status_stored_periods] => 15
    [ag_0_hostname] => 192.168.0.202:6713
    [ag_0_references] => 2
    [ag_0_lastquery] => 0.41
    [ag_0_lastanswer] => 0.19
    [ag_0_lastperiodmsec] => 222
    [ag_0_errorsarow] => 0
    [ag_0_1periods_query_timeouts] => 0
    [ag_0_1periods_connect_timeouts] => 0
    [ag_0_1periods_connect_failures] => 0
    [ag_0_1periods_network_errors] => 0
    [ag_0_1periods_wrong_replies] => 0
    [ag_0_1periods_unexpected_closings] => 0
    [ag_0_1periods_warnings] => 0
    [ag_0_1periods_succeeded_queries] => 27
    [ag_0_1periods_msecsperquery] => 232.31
    [ag_0_5periods_query_timeouts] => 0
    [ag_0_5periods_connect_timeouts] => 0
    [ag_0_5periods_connect_failures] => 0
    [ag_0_5periods_network_errors] => 0
    [ag_0_5periods_wrong_replies] => 0
    [ag_0_5periods_unexpected_closings] => 0
    [ag_0_5periods_warnings] => 0
    [ag_0_5periods_succeeded_queries] => 146
    [ag_0_5periods_msecsperquery] => 231.83
    [ag_1_hostname 192.168.0.202:6714
    [ag_1_references] => 2
    [ag_1_lastquery] => 0.41
    [ag_1_lastanswer] => 0.19
    [ag_1_lastperiodmsec] => 220
    [ag_1_errorsarow] => 0
    [ag_1_1periods_query_timeouts] => 0
    [ag_1_1periods_connect_timeouts] => 0
    [ag_1_1periods_connect_failures] => 0
    [ag_1_1periods_network_errors] => 0
    [ag_1_1periods_wrong_replies] => 0
    [ag_1_1periods_unexpected_closings] => 0
    [ag_1_1periods_warnings] => 0
    [ag_1_1periods_succeeded_queries] => 27
    [ag_1_1periods_msecsperquery] => 231.24
    [ag_1_5periods_query_timeouts] => 0
    [ag_1_5periods_connect_timeouts] => 0
    [ag_1_5periods_connect_failures] => 0
    [ag_1_5periods_network_errors] => 0
    [ag_1_5periods_wrong_replies] => 0
    [ag_1_5periods_unexpected_closings
    [ag_1_5periods_warnings] => 0
    [ag_1_5periods_succeeded_queries] => 146
    [ag_1_5periods_msecsperquery] => 230.85
)

{u'columns': [{u'Key': {u'type': u'string'}},
              {u'Value': {u'type': u'string'}}],
 u'data': [
    {u'Key': u'status_period_seconds', u'Value': u'60'},
    {u'Key': u'status_stored_periods', u'Value': u'15'},
    {u'Key': u'ag_0_hostname', u'Value': u'192.168.0.202:6713'},
    {u'Key': u'ag_0_references', u'Value': u'2'},
    {u'Key': u'ag_0_lastquery', u'Value': u'0.41'},
    {u'Key': u'ag_0_lastanswer', u'Value': u'0.19'},
    {u'Key': u'ag_0_lastperiodmsec', u'Value': u'222'},
    {u'Key': u'ag_0_errorsarow', u'Value': u'0'},
    {u'Key': u'ag_0_1periods_query_timeouts', u'Value': u'0'},
    {u'Key': u'ag_0_1periods_connect_timeouts', u'Value': u'0'},
    {u'Key': u'ag_0_1periods_connect_failures', u'Value': u'0'},
    {u'Key': u'ag_0_1periods_network_errors', u'Value': u'0'},
    {u'Key': u'ag_0_1periods_wrong_replies', u'Value': u'0'},
    {u'Key': u'ag_0_1periods_unexpected_closings', u'Value': u'0'},
    {u'Key': u'ag_0_1periods_warnings', u'Value': u'0'},
    {u'Key': u'ag_0_1periods_succeeded_queries', u'Value': u'27'},
    {u'Key': u'ag_0_1periods_msecsperquery', u'Value': u'232.31'},
    {u'Key': u'ag_0_5periods_query_timeouts', u'Value': u'0'},
    {u'Key': u'ag_0_5periods_connect_timeouts', u'Value': u'0'},
    {u'Key': u'ag_0_5periods_connect_failures', u'Value': u'0'},
    {u'Key': u'ag_0_5periods_network_errors', u'Value': u'0'},
    {u'Key': u'ag_0_5periods_wrong_replies', u'Value': u'0'},
    {u'Key': u'ag_0_5periods_unexpected_closings', u'Value': u'0'},
    {u'Key': u'ag_0_5periods_warnings', u'Value': u'0'},
    {u'Key': u'ag_0_5periods_succeeded_queries', u'Value': u'146'},
    {u'Key': u'ag_0_5periods_msecsperquery', u'Value': u'231.83'},
    {u'Key': u'ag_1_hostname 192.168.0.202:6714'},
    {u'Key': u'ag_1_references', u'Value': u'2'},
    {u'Key': u'ag_1_lastquery', u'Value': u'0.41'},
    {u'Key': u'ag_1_lastanswer', u'Value': u'0.19'},
    {u'Key': u'ag_1_lastperiodmsec', u'Value': u'220'},
    {u'Key': u'ag_1_errorsarow', u'Value': u'0'},
    {u'Key': u'ag_1_1periods_query_timeouts', u'Value': u'0'},
    {u'Key': u'ag_1_1periods_connect_timeouts', u'Value': u'0'},
    {u'Key': u'ag_1_1periods_connect_failures', u'Value': u'0'},
    {u'Key': u'ag_1_1periods_network_errors', u'Value': u'0'},
    {u'Key': u'ag_1_1periods_wrong_replies', u'Value': u'0'},
    {u'Key': u'ag_1_1periods_unexpected_closings', u'Value': u'0'},
    {u'Key': u'ag_1_1periods_warnings', u'Value': u'0'},
    {u'Key': u'ag_1_1periods_succeeded_queries', u'Value': u'27'},
    {u'Key': u'ag_1_1periods_msecsperquery', u'Value': u'231.24'},
    {u'Key': u'ag_1_5periods_query_timeouts', u'Value': u'0'},
    {u'Key': u'ag_1_5periods_connect_timeouts', u'Value': u'0'},
    {u'Key': u'ag_1_5periods_connect_failures', u'Value': u'0'},
    {u'Key': u'ag_1_5periods_network_errors', u'Value': u'0'},
    {u'Key': u'ag_1_5periods_wrong_replies', u'Value': u'0'},
    {u'Key': u'ag_1_5periods_warnings', u'Value': u'0'},
    {u'Key': u'ag_1_5periods_succeeded_queries', u'Value': u'146'},
    {u'Key': u'ag_1_5periods_msecsperquery', u'Value': u'230.85'}],
 u'error': u'',
 u'total': 0,
 u'warning': u''}

{u'columns': [{u'Key': {u'type': u'string'}},
              {u'Value': {u'type': u'string'}}],
 u'data': [
    {u'Key': u'status_period_seconds', u'Value': u'60'},
    {u'Key': u'status_stored_periods', u'Value': u'15'},
    {u'Key': u'ag_0_hostname', u'Value': u'192.168.0.202:6713'},
    {u'Key': u'ag_0_references', u'Value': u'2'},
    {u'Key': u'ag_0_lastquery', u'Value': u'0.41'},
    {u'Key': u'ag_0_lastanswer', u'Value': u'0.19'},
    {u'Key': u'ag_0_lastperiodmsec', u'Value': u'222'},
    {u'Key': u'ag_0_errorsarow', u'Value': u'0'},
    {u'Key': u'ag_0_1periods_query_timeouts', u'Value': u'0'},
    {u'Key': u'ag_0_1periods_connect_timeouts', u'Value': u'0'},
    {u'Key': u'ag_0_1periods_connect_failures', u'Value': u'0'},
    {u'Key': u'ag_0_1periods_network_errors', u'Value': u'0'},
    {u'Key': u'ag_0_1periods_wrong_replies', u'Value': u'0'},
    {u'Key': u'ag_0_1periods_unexpected_closings', u'Value': u'0'},
    {u'Key': u'ag_0_1periods_warnings', u'Value': u'0'},
    {u'Key': u'ag_0_1periods_succeeded_queries', u'Value': u'27'},
    {u'Key': u'ag_0_1periods_msecsperquery', u'Value': u'232.31'},
    {u'Key': u'ag_0_5periods_query_timeouts', u'Value': u'0'},
    {u'Key': u'ag_0_5periods_connect_timeouts', u'Value': u'0'},
    {u'Key': u'ag_0_5periods_connect_failures', u'Value': u'0'},
    {u'Key': u'ag_0_5periods_network_errors', u'Value': u'0'},
    {u'Key': u'ag_0_5periods_wrong_replies', u'Value': u'0'},
    {u'Key': u'ag_0_5periods_unexpected_closings', u'Value': u'0'},
    {u'Key': u'ag_0_5periods_warnings', u'Value': u'0'},
    {u'Key': u'ag_0_5periods_succeeded_queries', u'Value': u'146'},
    {u'Key': u'ag_0_5periods_msecsperquery', u'Value': u'231.83'},
    {u'Key': u'ag_1_hostname 192.168.0.202:6714'},
    {u'Key': u'ag_1_references', u'Value': u'2'},
    {u'Key': u'ag_1_lastquery', u'Value': u'0.41'},
    {u'Key': u'ag_1_lastanswer', u'Value': u'0.19'},
    {u'Key': u'ag_1_lastperiodmsec', u'Value': u'220'},
    {u'Key': u'ag_1_errorsarow', u'Value': u'0'},
    {u'Key': u'ag_1_1periods_query_timeouts', u'Value': u'0'},
    {u'Key': u'ag_1_1periods_connect_timeouts', u'Value': u'0'},
    {u'Key': u'ag_1_1periods_connect_failures', u'Value': u'0'},
    {u'Key': u'ag_1_1periods_network_errors', u'Value': u'0'},
    {u'Key': u'ag_1_1periods_wrong_replies', u'Value': u'0'},
    {u'Key': u'ag_1_1periods_unexpected_closings', u'Value': u'0'},
    {u'Key': u'ag_1_1periods_warnings', u'Value': u'0'},
    {u'Key': u'ag_1_1periods_succeeded_queries', u'Value': u'27'},
    {u'Key': u'ag_1_1periods_msecsperquery', u'Value': u'231.24'},
    {u'Key': u'ag_1_5periods_query_timeouts', u'Value': u'0'},
    {u'Key': u'ag_1_5periods_connect_timeouts', u'Value': u'0'},
    {u'Key': u'ag_1_5periods_connect_failures', u'Value': u'0'},
    {u'Key': u'ag_1_5periods_network_errors', u'Value': u'0'},
    {u'Key': u'ag_1_5periods_wrong_replies', u'Value': u'0'},
    {u'Key': u'ag_1_5periods_warnings', u'Value': u'0'},
    {u'Key': u'ag_1_5periods_succeeded_queries', u'Value': u'146'},
    {u'Key': u'ag_1_5periods_msecsperquery', u'Value': u'230.85'}],
 u'error': u'',
 u'total': 0,
 u'warning': u''}

{
    "columns":
    [{
        "Key":
        {
            "type": "string"
        }
    },
    {
        "Value":
        {
            "type": "string"
        }
    }],
    "data":
    [
        {"Key": "status_period_seconds", "Value": "60"},
        {"Key": "status_stored_periods", "Value": "15"},
        {"Key": "ag_0_hostname", "Value": "192.168.0.202:6713"},
        {"Key": "ag_0_references", "Value": "2"},
        {"Key": "ag_0_lastquery", "Value": "0.41"},
        {"Key": "ag_0_lastanswer", "Value": "0.19"},
        {"Key": "ag_0_lastperiodmsec", "Value": "222"},
        {"Key": "ag_0_errorsarow", "Value": "0"},
        {"Key": "ag_0_1periods_query_timeouts", "Value": "0"},
        {"Key": "ag_0_1periods_connect_timeouts", "Value": "0"},
        {"Key": "ag_0_1periods_connect_failures", "Value": "0"},
        {"Key": "ag_0_1periods_network_errors", "Value": "0"},
        {"Key": "ag_0_1periods_wrong_replies", "Value": "0"},
        {"Key": "ag_0_1periods_unexpected_closings", "Value": "0"},
        {"Key": "ag_0_1periods_warnings", "Value": "0"},
        {"Key": "ag_0_1periods_succeeded_queries", "Value": "27"},
        {"Key": "ag_0_1periods_msecsperquery", "Value": "232.31"},
        {"Key": "ag_0_5periods_query_timeouts", "Value": "0"},
        {"Key": "ag_0_5periods_connect_timeouts", "Value": "0"},
        {"Key": "ag_0_5periods_connect_failures", "Value": "0"},
        {"Key": "ag_0_5periods_network_errors", "Value": "0"},
        {"Key": "ag_0_5periods_wrong_replies", "Value": "0"},
        {"Key": "ag_0_5periods_unexpected_closings", "Value": "0"},
        {"Key": "ag_0_5periods_warnings", "Value": "0"},
        {"Key": "ag_0_5periods_succeeded_queries", "Value": "146"},
        {"Key": "ag_0_5periods_msecsperquery", "Value": "231.83"},
        {"Key": "ag_1_hostname 192.168.0.202:6714"},
        {"Key": "ag_1_references", "Value": "2"},
        {"Key": "ag_1_lastquery", "Value": "0.41"},
        {"Key": "ag_1_lastanswer", "Value": "0.19"},
        {"Key": "ag_1_lastperiodmsec", "Value": "220"},
        {"Key": "ag_1_errorsarow", "Value": "0"},
        {"Key": "ag_1_1periods_query_timeouts", "Value": "0"},
        {"Key": "ag_1_1periods_connect_timeouts", "Value": "0"},
        {"Key": "ag_1_1periods_connect_failures", "Value": "0"},
        {"Key": "ag_1_1periods_network_errors", "Value": "0"},
        {"Key": "ag_1_1periods_wrong_replies", "Value": "0"},
        {"Key": "ag_1_1periods_unexpected_closings", "Value": "0"},
        {"Key": "ag_1_1periods_warnings", "Value": "0"},
        {"Key": "ag_1_1periods_succeeded_queries", "Value": "27"},
        {"Key": "ag_1_1periods_msecsperquery", "Value": "231.24"},
        {"Key": "ag_1_5periods_query_timeouts", "Value": "0"},
        {"Key": "ag_1_5periods_connect_timeouts", "Value": "0"},
        {"Key": "ag_1_5periods_connect_failures", "Value": "0"},
        {"Key": "ag_1_5periods_network_errors", "Value": "0"},
        {"Key": "ag_1_5periods_wrong_replies", "Value": "0"},
        {"Key": "ag_1_5periods_warnings", "Value": "0"},
        {"Key": "ag_1_5periods_succeeded_queries", "Value": "146"},
        {"Key": "ag_1_5periods_msecsperquery", "Value": "230.85"}
    ],
    "error": "",
    "total": 0,
    "warning": ""
 }

{columns=[{ Key : { type=string }},
              { Value : { type=string }}],
  data : [
    { Key=status_period_seconds ,  Value=60 },
    { Key=status_stored_periods ,  Value=15 },
    { Key=ag_0_hostname ,  Value=192.168.0.202:6713 },
    { Key=ag_0_references ,  Value=2 },
    { Key=ag_0_lastquery ,  Value=0.41 },
    { Key=ag_0_lastanswer ,  Value=0.19 },
    { Key=ag_0_lastperiodmsec ,  Value=222 },
    { Key=ag_0_errorsarow ,  Value=0 },
    { Key=ag_0_1periods_query_timeouts ,  Value=0 },
    { Key=ag_0_1periods_connect_timeouts ,  Value=0 },
    { Key=ag_0_1periods_connect_failures ,  Value=0 },
    { Key=ag_0_1periods_network_errors ,  Value=0 },
    { Key=ag_0_1periods_wrong_replies ,  Value=0 },
    { Key=ag_0_1periods_unexpected_closings ,  Value=0 },
    { Key=ag_0_1periods_warnings ,  Value=0 },
    { Key=ag_0_1periods_succeeded_queries ,  Value=27 },
    { Key=ag_0_1periods_msecsperquery ,  Value=232.31 },
    { Key=ag_0_5periods_query_timeouts ,  Value=0 },
    { Key=ag_0_5periods_connect_timeouts ,  Value=0 },
    { Key=ag_0_5periods_connect_failures ,  Value=0 },
    { Key=ag_0_5periods_network_errors ,  Value=0 },
    { Key=ag_0_5periods_wrong_replies ,  Value=0 },
    { Key=ag_0_5periods_unexpected_closings ,  Value=0 },
    { Key=ag_0_5periods_warnings ,  Value=0 },
    { Key=ag_0_5periods_succeeded_queries ,  Value=146 },
    { Key=ag_0_5periods_msecsperquery ,  Value=231.83 },
    { Key=ag_1_hostname 192.168.0.202:6714 },
    { Key=ag_1_references ,  Value=2 },
    { Key=ag_1_lastquery ,  Value=0.41 },
    { Key=ag_1_lastanswer ,  Value=0.19 },
    { Key=ag_1_lastperiodmsec ,  Value=220 },
    { Key=ag_1_errorsarow ,  Value=0 },
    { Key=ag_1_1periods_query_timeouts ,  Value=0 },
    { Key=ag_1_1periods_connect_timeouts ,  Value=0 },
    { Key=ag_1_1periods_connect_failures ,  Value=0 },
    { Key=ag_1_1periods_network_errors ,  Value=0 },
    { Key=ag_1_1periods_wrong_replies ,  Value=0 },
    { Key=ag_1_1periods_unexpected_closings ,  Value=0 },
    { Key=ag_1_1periods_warnings ,  Value=0 },
    { Key=ag_1_1periods_succeeded_queries ,  Value=27 },
    { Key=ag_1_1periods_msecsperquery ,  Value=231.24 },
    { Key=ag_1_5periods_query_timeouts ,  Value=0 },
    { Key=ag_1_5periods_connect_timeouts ,  Value=0 },
    { Key=ag_1_5periods_connect_failures ,  Value=0 },
    { Key=ag_1_5periods_network_errors ,  Value=0 },
    { Key=ag_1_5periods_wrong_replies ,  Value=0 },
    { Key=ag_1_5periods_warnings ,  Value=0 },
    { Key=ag_1_5periods_succeeded_queries ,  Value=146 },
    { Key=ag_1_5periods_msecsperquery ,  Value=230.85 }],
  error= ,
  total=0,
  warning= }

{columns=[{ Key : { type=string }},
              { Value : { type=string }}],
  data : [
    { Key=status_period_seconds ,  Value=60 },
    { Key=status_stored_periods ,  Value=15 },
    { Key=ag_0_hostname ,  Value=192.168.0.202:6713 },
    { Key=ag_0_references ,  Value=2 },
    { Key=ag_0_lastquery ,  Value=0.41 },
    { Key=ag_0_lastanswer ,  Value=0.19 },
    { Key=ag_0_lastperiodmsec ,  Value=222 },
    { Key=ag_0_errorsarow ,  Value=0 },
    { Key=ag_0_1periods_query_timeouts ,  Value=0 },
    { Key=ag_0_1periods_connect_timeouts ,  Value=0 },
    { Key=ag_0_1periods_connect_failures ,  Value=0 },
    { Key=ag_0_1periods_network_errors ,  Value=0 },
    { Key=ag_0_1periods_wrong_replies ,  Value=0 },
    { Key=ag_0_1periods_unexpected_closings ,  Value=0 },
    { Key=ag_0_1periods_warnings ,  Value=0 },
    { Key=ag_0_1periods_succeeded_queries ,  Value=27 },
    { Key=ag_0_1periods_msecsperquery ,  Value=232.31 },
    { Key=ag_0_5periods_query_timeouts ,  Value=0 },
    { Key=ag_0_5periods_connect_timeouts ,  Value=0 },
    { Key=ag_0_5periods_connect_failures ,  Value=0 },
    { Key=ag_0_5periods_network_errors ,  Value=0 },
    { Key=ag_0_5periods_wrong_replies ,  Value=0 },
    { Key=ag_0_5periods_unexpected_closings ,  Value=0 },
    { Key=ag_0_5periods_warnings ,  Value=0 },
    { Key=ag_0_5periods_succeeded_queries ,  Value=146 },
    { Key=ag_0_5periods_msecsperquery ,  Value=231.83 },
    { Key=ag_1_hostname 192.168.0.202:6714 },
    { Key=ag_1_references ,  Value=2 },
    { Key=ag_1_lastquery ,  Value=0.41 },
    { Key=ag_1_lastanswer ,  Value=0.19 },
    { Key=ag_1_lastperiodmsec ,  Value=220 },
    { Key=ag_1_errorsarow ,  Value=0 },
    { Key=ag_1_1periods_query_timeouts ,  Value=0 },
    { Key=ag_1_1periods_connect_timeouts ,  Value=0 },
    { Key=ag_1_1periods_connect_failures ,  Value=0 },
    { Key=ag_1_1periods_network_errors ,  Value=0 },
    { Key=ag_1_1periods_wrong_replies ,  Value=0 },
    { Key=ag_1_1periods_unexpected_closings ,  Value=0 },
    { Key=ag_1_1periods_warnings ,  Value=0 },
    { Key=ag_1_1periods_succeeded_queries ,  Value=27 },
    { Key=ag_1_1periods_msecsperquery ,  Value=231.24 },
    { Key=ag_1_5periods_query_timeouts ,  Value=0 },
    { Key=ag_1_5periods_connect_timeouts ,  Value=0 },
    { Key=ag_1_5periods_connect_failures ,  Value=0 },
    { Key=ag_1_5periods_network_errors ,  Value=0 },
    { Key=ag_1_5periods_wrong_replies ,  Value=0 },
    { Key=ag_1_5periods_warnings ,  Value=0 },
    { Key=ag_1_5periods_succeeded_queries ,  Value=146 },
    { Key=ag_1_5periods_msecsperquery ,  Value=230.85 }],
  error="" ,
  total=0,
  warning="" }

{columns=[{ Key : { type=string }},
              { Value : { type=string }}],
  data : [
    { Key=status_period_seconds ,  Value=60 },
    { Key=status_stored_periods ,  Value=15 },
    { Key=ag_0_hostname ,  Value=192.168.0.202:6713 },
    { Key=ag_0_references ,  Value=2 },
    { Key=ag_0_lastquery ,  Value=0.41 },
    { Key=ag_0_lastanswer ,  Value=0.19 },
    { Key=ag_0_lastperiodmsec ,  Value=222 },
    { Key=ag_0_errorsarow ,  Value=0 },
    { Key=ag_0_1periods_query_timeouts ,  Value=0 },
    { Key=ag_0_1periods_connect_timeouts ,  Value=0 },
    { Key=ag_0_1periods_connect_failures ,  Value=0 },
    { Key=ag_0_1periods_network_errors ,  Value=0 },
    { Key=ag_0_1periods_wrong_replies ,  Value=0 },
    { Key=ag_0_1periods_unexpected_closings ,  Value=0 },
    { Key=ag_0_1periods_warnings ,  Value=0 },
    { Key=ag_0_1periods_succeeded_queries ,  Value=27 },
    { Key=ag_0_1periods_msecsperquery ,  Value=232.31 },
    { Key=ag_0_5periods_query_timeouts ,  Value=0 },
    { Key=ag_0_5periods_connect_timeouts ,  Value=0 },
    { Key=ag_0_5periods_connect_failures ,  Value=0 },
    { Key=ag_0_5periods_network_errors ,  Value=0 },
    { Key=ag_0_5periods_wrong_replies ,  Value=0 },
    { Key=ag_0_5periods_unexpected_closings ,  Value=0 },
    { Key=ag_0_5periods_warnings ,  Value=0 },
    { Key=ag_0_5periods_succeeded_queries ,  Value=146 },
    { Key=ag_0_5periods_msecsperquery ,  Value=231.83 },
    { Key=ag_1_hostname 192.168.0.202:6714 },
    { Key=ag_1_references ,  Value=2 },
    { Key=ag_1_lastquery ,  Value=0.41 },
    { Key=ag_1_lastanswer ,  Value=0.19 },
    { Key=ag_1_lastperiodmsec ,  Value=220 },
    { Key=ag_1_errorsarow ,  Value=0 },
    { Key=ag_1_1periods_query_timeouts ,  Value=0 },
    { Key=ag_1_1periods_connect_timeouts ,  Value=0 },
    { Key=ag_1_1periods_connect_failures ,  Value=0 },
    { Key=ag_1_1periods_network_errors ,  Value=0 },
    { Key=ag_1_1periods_wrong_replies ,  Value=0 },
    { Key=ag_1_1periods_unexpected_closings ,  Value=0 },
    { Key=ag_1_1periods_warnings ,  Value=0 },
    { Key=ag_1_1periods_succeeded_queries ,  Value=27 },
    { Key=ag_1_1periods_msecsperquery ,  Value=231.24 },
    { Key=ag_1_5periods_query_timeouts ,  Value=0 },
    { Key=ag_1_5periods_connect_timeouts ,  Value=0 },
    { Key=ag_1_5periods_connect_failures ,  Value=0 },
    { Key=ag_1_5periods_network_errors ,  Value=0 },
    { Key=ag_1_5periods_wrong_replies ,  Value=0 },
    { Key=ag_1_5periods_warnings ,  Value=0 },
    { Key=ag_1_5periods_succeeded_queries ,  Value=146 },
    { Key=ag_1_5periods_msecsperquery ,  Value=230.85 }],
  error="" ,
  total=0,
  warning="" }

{
    "columns":
    [{
        "Key":
        {
            "type": "string"
        }
    },
    {
        "Value":
        {
            "type": "string"
        }
    }],
    "data":
    [
        {"Key": "status_period_seconds", "Value": "60"},
        {"Key": "status_stored_periods", "Value": "15"},
        {"Key": "ag_0_hostname", "Value": "192.168.0.202:6713"},
        {"Key": "ag_0_references", "Value": "2"},
        {"Key": "ag_0_lastquery", "Value": "0.41"},
        {"Key": "ag_0_lastanswer", "Value": "0.19"},
        {"Key": "ag_0_lastperiodmsec", "Value": "222"},
        {"Key": "ag_0_errorsarow", "Value": "0"},
        {"Key": "ag_0_1periods_query_timeouts", "Value": "0"},
        {"Key": "ag_0_1periods_connect_timeouts", "Value": "0"},
        {"Key": "ag_0_1periods_connect_failures", "Value": "0"},
        {"Key": "ag_0_1periods_network_errors", "Value": "0"},
        {"Key": "ag_0_1periods_wrong_replies", "Value": "0"},
        {"Key": "ag_0_1periods_unexpected_closings", "Value": "0"},
        {"Key": "ag_0_1periods_warnings", "Value": "0"},
        {"Key": "ag_0_1periods_succeeded_queries", "Value": "27"},
        {"Key": "ag_0_1periods_msecsperquery", "Value": "232.31"},
        {"Key": "ag_0_5periods_query_timeouts", "Value": "0"},
        {"Key": "ag_0_5periods_connect_timeouts", "Value": "0"},
        {"Key": "ag_0_5periods_connect_failures", "Value": "0"},
        {"Key": "ag_0_5periods_network_errors", "Value": "0"},
        {"Key": "ag_0_5periods_wrong_replies", "Value": "0"},
        {"Key": "ag_0_5periods_unexpected_closings", "Value": "0"},
        {"Key": "ag_0_5periods_warnings", "Value": "0"},
        {"Key": "ag_0_5periods_succeeded_queries", "Value": "146"},
        {"Key": "ag_0_5periods_msecsperquery", "Value": "231.83"},
        {"Key": "ag_1_hostname 192.168.0.202:6714"},
        {"Key": "ag_1_references", "Value": "2"},
        {"Key": "ag_1_lastquery", "Value": "0.41"},
        {"Key": "ag_1_lastanswer", "Value": "0.19"},
        {"Key": "ag_1_lastperiodmsec", "Value": "220"},
        {"Key": "ag_1_errorsarow", "Value": "0"},
        {"Key": "ag_1_1periods_query_timeouts", "Value": "0"},
        {"Key": "ag_1_1periods_connect_timeouts", "Value": "0"},
        {"Key": "ag_1_1periods_connect_failures", "Value": "0"},
        {"Key": "ag_1_1periods_network_errors", "Value": "0"},
        {"Key": "ag_1_1periods_wrong_replies", "Value": "0"},
        {"Key": "ag_1_1periods_unexpected_closings", "Value": "0"},
        {"Key": "ag_1_1periods_warnings", "Value": "0"},
        {"Key": "ag_1_1periods_succeeded_queries", "Value": "27"},
        {"Key": "ag_1_1periods_msecsperquery", "Value": "231.24"},
        {"Key": "ag_1_5periods_query_timeouts", "Value": "0"},
        {"Key": "ag_1_5periods_connect_timeouts", "Value": "0"},
        {"Key": "ag_1_5periods_connect_failures", "Value": "0"},
        {"Key": "ag_1_5periods_network_errors", "Value": "0"},
        {"Key": "ag_1_5periods_wrong_replies", "Value": "0"},
        {"Key": "ag_1_5periods_warnings", "Value": "0"},
        {"Key": "ag_1_5periods_succeeded_queries", "Value": "146"},
        {"Key": "ag_1_5periods_msecsperquery", "Value": "230.85"}
    ],
    "error": "",
    "total": 0,
    "warning": ""
 }

支持可选的LIKE子句，语法与SHOW STATUS相同。

‹›

SQL
PHP
Python
Python-asyncio
javascript
Java
C#
Rust
TypeScript
Go

📋

SHOW AGENT STATUS LIKE '%5period%msec%';

$client->nodes()->agentstatus(
    ['body'=>
        ['pattern'=>'%5period%msec%']
    ]
);

utilsApi.sql('SHOW AGENT STATUS LIKE \'%5period%msec%\'')

await utilsApi.sql('SHOW AGENT STATUS LIKE \'%5period%msec%\'')

res = await utilsApi.sql("SHOW AGENT STATUS LIKE \"%5period%msec%\"");

utilsApi.sql("SHOW AGENT STATUS LIKE \"%5period%msec%\"");

utilsApi.Sql("SHOW AGENT STATUS LIKE \"%5period%msec%\"");

utils_api.sql("SHOW AGENT STATUS LIKE \"%5period%msec%\"", Some(true)).await;

res = await utilsApi.sql("SHOW AGENT STATUS LIKE \"%5period%msec%\"");

apiClient.UtilsAPI.Sql(context.Background()).Body("SHOW AGENT STATUS LIKE \"%5period%msec%\"").Execute()

‹›

Response

+-----------------------------+--------+
| Key                         | Value  |
+-----------------------------+--------+
| ag_0_5periods_msecsperquery | 234.72 |
| ag_1_5periods_msecsperquery | 233.73 |
| ag_2_5periods_msecsperquery | 343.81 |
+-----------------------------+--------+
3 rows in set (0.00 sec)

Array(
    [ag_0_5periods_msecsperquery] => 234.72
    [ag_1_5periods_msecsperquery] => 233.73
    [ag_2_5periods_msecsperquery] => 343.81
)

{u'columns': [{u'Key': {u'type': u'string'}},
              {u'Value': {u'type': u'string'}}],
 u'data': [
    {u'Key': u'ag_0_5periods_msecsperquery', u'Value': u'234.72'},
    {u'Key': u'ag_1_5periods_msecsperquery', u'Value': u'233.73'},
    {u'Key': u'ag_2_5periods_msecsperquery', u'Value': u'343.81'}],
 u'error': u'',
 u'total': 0,
 u'warning': u''}

{u'columns': [{u'Key': {u'type': u'string'}},
              {u'Value': {u'type': u'string'}}],
 u'data': [
    {u'Key': u'ag_0_5periods_msecsperquery', u'Value': u'234.72'},
    {u'Key': u'ag_1_5periods_msecsperquery', u'Value': u'233.73'},
    {u'Key': u'ag_2_5periods_msecsperquery', u'Value': u'343.81'}],
 u'error': u'',
 u'total': 0,
 u'warning': u''}

{"columns": [{"Key": {"type": "string"}},
              {"Value": {"type": "string"}}],
 "data": [
    {"Key": "ag_0_5periods_msecsperquery", "Value": "234.72"},
    {"Key": "ag_1_5periods_msecsperquery", "Value": "233.73"},
    {"Key": "ag_2_5periods_msecsperquery", "Value": "343.81"}],
 "error": "",
 "total": 0,
 "warning": ""}

{columns: [{Key={type=string}},
              {Value={type=string}}],
 data: [
    {Key=ag_0_5periods_msecsperquery, Value=234.72},
    {Key=ag_1_5periods_msecsperquery, Value=233.73},
    {Key=ag_2_5periods_msecsperquery, Value=343.81}],
 error: ,
 total: 0,
 warning: }

{columns: [{Key={type=string}},
              {Value={type=string}}],
 data: [
    {Key=ag_0_5periods_msecsperquery, Value=234.72},
    {Key=ag_1_5periods_msecsperquery, Value=233.73},
    {Key=ag_2_5periods_msecsperquery, Value=343.81}],
 error: "",
 total: 0,
 warning: ""}

{columns: [{Key={type=string}},
              {Value={type=string}}],
 data: [
    {Key=ag_0_5periods_msecsperquery, Value=234.72},
    {Key=ag_1_5periods_msecsperquery, Value=233.73},
    {Key=ag_2_5periods_msecsperquery, Value=343.81}],
 error: "",
 total: 0,
 warning: ""}

{
    "columns":
    [{
        "Key": {"type": "string"}
    },
    {
        "Value": {"type": "string"}
    }],
    "data":
    [
        {"Key": "ag_0_5periods_msecsperquery", "Value": "234.72"},
        {"Key": "ag_1_5periods_msecsperquery", "Value": "233.73"},
        {"Key": "ag_2_5periods_msecsperquery", "Value": "343.81"}
    ],
    "error": "",
    "total": 0,
    "warning": ""
}

{
    "columns":
    [{
        "Key": {"type": "string"}
    },
    {
        "Value": {"type": "string"}
    }],
    "data":
    [
        {"Key": "ag_0_5periods_msecsperquery", "Value": "234.72"},
        {"Key": "ag_1_5periods_msecsperquery", "Value": "233.73"},
        {"Key": "ag_2_5periods_msecsperquery", "Value": "343.81"}
    ],
    "error": "",
    "total": 0,
    "warning": ""
}

您可以通过其地址指定特定的代理。在这种情况下，将仅显示该代理的数据。此外，将使用 agent_ 前缀而不是 ag_N_：

‹›

SQL
PHP
Python
Python-asyncio
javascript
Java
C#
Rust
TypeScript
Go

📋

SHOW AGENT '192.168.0.202:6714' STATUS LIKE '%15periods%';

$client->nodes()->agentstatus(
    ['body'=>
        ['agent'=>'192.168.0.202:6714'],
        ['pattern'=>'%5period%msec%']
    ]
);

utilsApi.sql('SHOW AGENT \'192.168.0.202:6714\' STATUS LIKE \'%15periods%\'')

await utilsApi.sql('SHOW AGENT \'192.168.0.202:6714\' STATUS LIKE \'%15periods%\'')

res = await utilsApi.sql("SHOW AGENT \"192.168.0.202:6714\" STATUS LIKE \"%15periods%\"");

utilsApi.sql("SHOW AGENT \"192.168.0.202:6714\" STATUS LIKE \"%15periods%\"");

utilsApi.Sql("SHOW AGENT \"192.168.0.202:6714\" STATUS LIKE \"%15periods%\"");

utils_api.sql("SHOW AGENT \"192.168.0.202:6714\" STATUS LIKE \"%15periods%\"", Some(true)).await;

res = await utilsApi.sql("SHOW AGENT \"192.168.0.202:6714\" STATUS LIKE \"%15periods%\"");

apiClient.UtilsAPI.Sql(context.Background()).Body("SHOW AGENT \"192.168.0.202:6714\" STATUS LIKE \"%15periods%\").Execute()

‹›

Response

+-------------------------------------+--------+
| Variable_name                       | Value  |
+-------------------------------------+--------+
| agent_15periods_query_timeouts      | 0      |
| agent_15periods_connect_timeouts    | 0      |
| agent_15periods_connect_failures    | 0      |
| agent_15periods_network_errors      | 0      |
| agent_15periods_wrong_replies       | 0      |
| agent_15periods_unexpected_closings | 0      |
| agent_15periods_warnings            | 0      |
| agent_15periods_succeeded_queries   | 439    |
| agent_15periods_msecsperquery       | 231.73 |
+-------------------------------------+--------+
9 rows in set (0.00 sec)

Array(
    [agent_15periods_query_timeouts] => 0
    [agent_15periods_connect_timeouts] => 0
    [agent_15periods_connect_failures] => 0
    [agent_15periods_network_errors] => 0
    [agent_15periods_wrong_replies] => 0
    [agent_15periods_unexpected_closings] => 0
    [agent_15periods_warnings] => 0
    [agent_15periods_succeeded_queries] => 439
    [agent_15periods_msecsperquery] => 231.73
)

{u'columns': [{u'Key': {u'type': u'string'}},
              {u'Value': {u'type': u'string'}}],
 u'data': [
    {u'Key': u'agent_15periods_query_timeouts', u'Value': u'0'},
    {u'Key': u'agent_15periods_connect_timeouts', u'Value': u'0'},
    {u'Key': u'agent_15periods_connect_failures', u'Value': u'0'},
    {u'Key': u'agent_15periods_network_errors', u'Value': u'0'},
    {u'Key': u'agent_15periods_connect_failures', u'Value': u'0'},
    {u'Key': u'agent_15periods_wrong_replies', u'Value': u'0'},
    {u'Key': u'agent_15periods_unexpected_closings', u'Value': u'0'},
    {u'Key': u'agent_15periods_warnings', u'Value': u'0'},
    {u'Key': u'agent_15periods_succeeded_queries', u'Value': u'439'},
    {u'Key': u'agent_15periods_msecsperquery', u'Value': u'233.73'},
    ],
 u'error': u'',
 u'total': 0,
 u'warning': u''}

{u'columns': [{u'Key': {u'type': u'string'}},
              {u'Value': {u'type': u'string'}}],
 u'data': [
    {u'Key': u'agent_15periods_query_timeouts', u'Value': u'0'},
    {u'Key': u'agent_15periods_connect_timeouts', u'Value': u'0'},
    {u'Key': u'agent_15periods_connect_failures', u'Value': u'0'},
    {u'Key': u'agent_15periods_network_errors', u'Value': u'0'},
    {u'Key': u'agent_15periods_connect_failures', u'Value': u'0'},
    {u'Key': u'agent_15periods_wrong_replies', u'Value': u'0'},
    {u'Key': u'agent_15periods_unexpected_closings', u'Value': u'0'},
    {u'Key': u'agent_15periods_warnings', u'Value': u'0'},
    {u'Key': u'agent_15periods_succeeded_queries', u'Value': u'439'},
    {u'Key': u'agent_15periods_msecsperquery', u'Value': u'233.73'},
    ],
 u'error': u'',
 u'total': 0,
 u'warning': u''}

{"columns": [{"Key": {"type": "string"}},
              {"Value": {"type": "string"}}],
 "data": [
    {"Key": "agent_15periods_query_timeouts", "Value": "0"},
    {"Key": "agent_15periods_connect_timeouts", "Value": "0"},
    {"Key": "agent_15periods_connect_failures", "Value": "0"},
    {"Key": "agent_15periods_network_errors", "Value": "0"},
    {"Key": "agent_15periods_connect_failures", "Value": "0"},
    {"Key": "agent_15periods_wrong_replies", "Value": "0"},
    {"Key": "agent_15periods_unexpected_closings", "Value": "0"},
    {"Key": "agent_15periods_warnings", "Value": "0"},
    {"Key": "agent_15periods_succeeded_queries", "Value": "439"},
    {"Key": "agent_15periods_msecsperquery", "Value": "233.73"},
    ],
 "error": "",
 "total": 0,
 "warning": ""}

{columns=[{Key={type=string}},
              {Value={type=string}}],
 data=[
    {Key=agent_15periods_query_timeouts, Value=0},
    {Key=agent_15periods_connect_timeouts, Value=0},
    {Key=agent_15periods_connect_failures, Value=0},
    {Key=agent_15periods_network_errors, Value=0},
    {Key=agent_15periods_connect_failures, Value=0},
    {Key=agent_15periods_wrong_replies, Value=0},
    {Key=agent_15periods_unexpected_closings, Value=0},
    {Key=agent_15periods_warnings, Value=0},
    {Key=agent_15periods_succeeded_queries, Value=439},
    {Key=agent_15periods_msecsperquery, Value=233.73},
    ],
 error=,
 total=0,
 warning=}

{columns=[{Key={type=string}},
              {Value={type=string}}],
 data=[
    {Key=agent_15periods_query_timeouts, Value=0},
    {Key=agent_15periods_connect_timeouts, Value=0},
    {Key=agent_15periods_connect_failures, Value=0},
    {Key=agent_15periods_network_errors, Value=0},
    {Key=agent_15periods_connect_failures, Value=0},
    {Key=agent_15periods_wrong_replies, Value=0},
    {Key=agent_15periods_unexpected_closings, Value=0},
    {Key=agent_15periods_warnings, Value=0},
    {Key=agent_15periods_succeeded_queries, Value=439},
    {Key=agent_15periods_msecsperquery, Value=233.73},
    ],
 error="",
 total=0,
 warning=""}

{columns=[{Key={type=string}},
              {Value={type=string}}],
 data=[
    {Key=agent_15periods_query_timeouts, Value=0},
    {Key=agent_15periods_connect_timeouts, Value=0},
    {Key=agent_15periods_connect_failures, Value=0},
    {Key=agent_15periods_network_errors, Value=0},
    {Key=agent_15periods_connect_failures, Value=0},
    {Key=agent_15periods_wrong_replies, Value=0},
    {Key=agent_15periods_unexpected_closings, Value=0},
    {Key=agent_15periods_warnings, Value=0},
    {Key=agent_15periods_succeeded_queries, Value=439},
    {Key=agent_15periods_msecsperquery, Value=233.73},
    ],
 error="",
 total=0,
 warning=""}

{
    "columns":
    [{
        {"Key": {"type": "string"}
    },
        {"Value": {"type": "string"}
    }],
    "data":
    [
        {"Key": "agent_15periods_query_timeouts", "Value": "0"},
        {"Key": "agent_15periods_connect_timeouts", "Value": "0"},
        {"Key": "agent_15periods_connect_failures", "Value": "0"},
        {"Key": "agent_15periods_network_errors", "Value": "0"},
        {"Key": "agent_15periods_connect_failures", "Value": "0"},
        {"Key": "agent_15periods_wrong_replies", "Value": "0"},
        {"Key": "agent_15periods_unexpected_closings", "Value": "0"},
        {"Key": "agent_15periods_warnings", "Value": "0"},
        {"Key": "agent_15periods_succeeded_queries", "Value": "439"},
        {"Key": "agent_15periods_msecsperquery", "Value": "233.73"},
    ],
    "error": "",
    "total": 0,
    "warning": ""
}

{
    "columns":
    [{
        {"Key": {"type": "string"}
    },
        {"Value": {"type": "string"}
    }],
    "data":
    [
        {"Key": "agent_15periods_query_timeouts", "Value": "0"},
        {"Key": "agent_15periods_connect_timeouts", "Value": "0"},
        {"Key": "agent_15periods_connect_failures", "Value": "0"},
        {"Key": "agent_15periods_network_errors", "Value": "0"},
        {"Key": "agent_15periods_connect_failures", "Value": "0"},
        {"Key": "agent_15periods_wrong_replies", "Value": "0"},
        {"Key": "agent_15periods_unexpected_closings", "Value": "0"},
        {"Key": "agent_15periods_warnings", "Value": "0"},
        {"Key": "agent_15periods_succeeded_queries", "Value": "439"},
        {"Key": "agent_15periods_msecsperquery", "Value": "233.73"},
    ],
    "error": "",
    "total": 0,
    "warning": ""
}

最后，您可以使用 SHOW AGENT table_name STATUS 语句检查特定分布式表中代理的状态。此语句会显示表的HA状态（即是否使用代理镜像）以及镜像的信息，包括：地址、黑洞和持久性标志，以及在使用加权概率策略之一时使用的镜像选择概率。

‹›

SQL
PHP
Python
Python-asyncio
javascript
Java
C#
Rust
TypeScript
Go

📋

SHOW AGENT dist_index STATUS;

$client->nodes()->agentstatus(
    ['body'=>
        ['agent'=>'dist_index']
    ]
);

utilsApi.sql('SHOW AGENT \'192.168.0.202:6714\' STATUS LIKE \'%15periods%\'')

await utilsApi.sql('SHOW AGENT \'192.168.0.202:6714\' STATUS LIKE \'%15periods%\'')

res = await utilsApi.sql("SHOW AGENT \"192.168.0.202:6714\" STATUS LIKE \"%15periods%\"");

utilsApi.sql("SHOW AGENT \"192.168.0.202:6714\" STATUS LIKE \"%15periods%\"");

utilsApi.Sql("SHOW AGENT \"192.168.0.202:6714\" STATUS LIKE \"%15periods%\"");

utils_api.sql("SHOW AGENT \"192.168.0.202:6714\" STATUS LIKE \"%15periods%\"", Some(true)).await;

res = await utilsApi.sql("SHOW AGENT \"192.168.0.202:6714\" STATUS LIKE \"%15periods%\"");

apiClient.UtilsAPI.Sql(context.Background()).Body("SHOW AGENT \"192.168.0.202:6714\" STATUS LIKE \"%15periods%\"").Execute()

‹›

Response

+--------------------------------------+--------------------------------+
| Variable_name                        | Value                          |
+--------------------------------------+--------------------------------+
| dstindex_1_is_ha                     | 1                              |
| dstindex_1mirror1_id                 | 192.168.0.202:6713:loc         |
| dstindex_1mirror1_probability_weight | 0.372864                       |
| dstindex_1mirror1_is_blackhole       | 0                              |
| dstindex_1mirror1_is_persistent      | 0                              |
| dstindex_1mirror2_id                 | 192.168.0.202:6714:loc         |
| dstindex_1mirror2_probability_weight | 0.374635                       |
| dstindex_1mirror2_is_blackhole       | 0                              |
| dstindex_1mirror2_is_persistent      | 0                              |
| dstindex_1mirror3_id                 | dev1.manticoresearch.com:6714:loc |
| dstindex_1mirror3_probability_weight | 0.252501                       |
| dstindex_1mirror3_is_blackhole       | 0                              |
| dstindex_1mirror3_is_persistent      | 0                              |
+--------------------------------------+--------------------------------+
13 rows in set (0.00 sec)

Array(
    [dstindex_1_is_ha] => 1
    [dstindex_1mirror1_id] => 192.168.0.202:6713:loc
    [dstindex_1mirror1_probability_weight] => 0.372864
    [dstindex_1mirror1_is_blackhole] => 0
    [dstindex_1mirror1_is_persistent] => 0
    [dstindex_1mirror2_id] => 192.168.0.202:6714:loc
    [dstindex_1mirror2_probability_weight] => 0.374635
    [dstindex_1mirror2_is_blackhole] => 0
    [dstindex_1mirror2_is_persistent] => 0
    [dstindex_1mirror3_id] => dev1.manticoresearch.com:6714:loc
    [dstindex_1mirror3_probability_weight] => 0.252501
    [dstindex_1mirror3_is_blackhole] => 0
    [dstindex_1mirror3_is_persistent] => 0
)

{u'columns': [{u'Key': {u'type': u'string'}},
              {u'Value': {u'type': u'string'}}],
 u'data': [
    {u'Key': u'dstindex_1_is_ha', u'Value': u'1'},
    {u'Key': u'dstindex_1mirror1_id', u'Value': u'192.168.0.202:6713:loc'},
    {u'Key': u'dstindex_1mirror1_probability_weight', u'Value': u'0.372864'},
    {u'Key': u'dstindex_1mirror1_is_blackhole', u'Value': u'0'},
    {u'Key': u'dstindex_1mirror1_is_persistent', u'Value': u'0'},
    {u'Key': u'dstindex_1mirror2_id', u'Value': u'192.168.0.202:6714:loc'},
    {u'Key': u'dstindex_1mirror2_probability_weight', u'Value': u'0.374635'},
    {u'Key': u'dstindex_1mirror2_is_blackhole', u'Value': u'0'},
    {u'Key': u'dstindex_1mirror2_is_persistent', u'Value': u'439'},
    {u'Key': u'dstindex_1mirror3_id', u'Value': u'dev1.manticoresearch.com:6714:loc'},
    {u'Key': u'dstindex_1mirror3_probability_weight', u'Value': u' 0.252501'},
    {u'Key': u'dstindex_1mirror3_is_blackhole', u'Value': u'0'},
    {u'Key': u'dstindex_1mirror3_is_persistent', u'Value': u'439'}
    ],
 u'error': u'',
 u'total': 0,
 u'warning': u''}

{u'columns': [{u'Key': {u'type': u'string'}},
              {u'Value': {u'type': u'string'}}],
 u'data': [
    {u'Key': u'dstindex_1_is_ha', u'Value': u'1'},
    {u'Key': u'dstindex_1mirror1_id', u'Value': u'192.168.0.202:6713:loc'},
    {u'Key': u'dstindex_1mirror1_probability_weight', u'Value': u'0.372864'},
    {u'Key': u'dstindex_1mirror1_is_blackhole', u'Value': u'0'},
    {u'Key': u'dstindex_1mirror1_is_persistent', u'Value': u'0'},
    {u'Key': u'dstindex_1mirror2_id', u'Value': u'192.168.0.202:6714:loc'},
    {u'Key': u'dstindex_1mirror2_probability_weight', u'Value': u'0.374635'},
    {u'Key': u'dstindex_1mirror2_is_blackhole', u'Value': u'0'},
    {u'Key': u'dstindex_1mirror2_is_persistent', u'Value': u'439'},
    {u'Key': u'dstindex_1mirror3_id', u'Value': u'dev1.manticoresearch.com:6714:loc'},
    {u'Key': u'dstindex_1mirror3_probability_weight', u'Value': u' 0.252501'},
    {u'Key': u'dstindex_1mirror3_is_blackhole', u'Value': u'0'},
    {u'Key': u'dstindex_1mirror3_is_persistent', u'Value': u'439'}
    ],
 u'error': u'',
 u'total': 0,
 u'warning': u''}

{"columns": [{"Key": {"type": "string"}},
              {"Value": {"type": "string"}}],
 "data": [
    {"Key": "dstindex_1_is_ha", "Value": "1"},
    {"Key": "dstindex_1mirror1_id", "Value": "192.168.0.202:6713:loc"},
    {"Key": "dstindex_1mirror1_probability_weight", "Value": "0.372864"},
    {"Key": "dstindex_1mirror1_is_blackhole", "Value": "0"},
    {"Key": "dstindex_1mirror1_is_persistent", "Value": "0"},
    {"Key": "dstindex_1mirror2_id", "Value": "192.168.0.202:6714:loc"},
    {"Key": "dstindex_1mirror2_probability_weight", "Value": "0.374635"},
    {"Key": "dstindex_1mirror2_is_blackhole", "Value": "0"},
    {"Key": "dstindex_1mirror2_is_persistent", "Value": "439"},
    {"Key": "dstindex_1mirror3_id", "Value": "dev1.manticoresearch.com:6714:loc"},
    {"Key": "dstindex_1mirror3_probability_weight", "Value": " 0.252501"},
    {"Key": "dstindex_1mirror3_is_blackhole", "Value": "0"},
    {"Key": "dstindex_1mirror3_is_persistent", "Value": "439"}
    ],
 "error": "",
 "total": 0,
 "warning": ""}

{columns=[{Key={type=string}},
              {Value={type=string}}],
 data=[
    {Key=dstindex_1_is_ha, Value=1},
    {Key=dstindex_1mirror1_id, Value=192.168.0.202:6713:loc},
    {Key=dstindex_1mirror1_probability_weight, Value=0.372864},
    {Key=dstindex_1mirror1_is_blackhole, Value=0},
    {Key=dstindex_1mirror1_is_persistent, Value=0},
    {Key=dstindex_1mirror2_id, Value=192.168.0.202:6714:loc},
    {Key=dstindex_1mirror2_probability_weight, Value=0.374635},
    {Key=dstindex_1mirror2_is_blackhole, Value=0},
    {Key=dstindex_1mirror2_is_persistent, Value=439},
    {Key=dstindex_1mirror3_id, Value=dev1.manticoresearch.com:6714:loc},
    {Key=dstindex_1mirror3_probability_weight, Value= 0.252501},
    {Key=dstindex_1mirror3_is_blackhole, Value=0},
    {Key=dstindex_1mirror3_is_persistent, Value=439}
    ],
 error=,
 total=0,
 warning=}

{columns=[{Key={type=string}},
              {Value={type=string}}],
 data=[
    {Key=dstindex_1_is_ha, Value=1},
    {Key=dstindex_1mirror1_id, Value=192.168.0.202:6713:loc},
    {Key=dstindex_1mirror1_probability_weight, Value=0.372864},
    {Key=dstindex_1mirror1_is_blackhole, Value=0},
    {Key=dstindex_1mirror1_is_persistent, Value=0},
    {Key=dstindex_1mirror2_id, Value=192.168.0.202:6714:loc},
    {Key=dstindex_1mirror2_probability_weight, Value=0.374635},
    {Key=dstindex_1mirror2_is_blackhole, Value=0},
    {Key=dstindex_1mirror2_is_persistent, Value=439},
    {Key=dstindex_1mirror3_id, Value=dev1.manticoresearch.com:6714:loc},
    {Key=dstindex_1mirror3_probability_weight, Value= 0.252501},
    {Key=dstindex_1mirror3_is_blackhole, Value=0},
    {Key=dstindex_1mirror3_is_persistent, Value=439}
    ],
 error="",
 total=0,
 warning=""}

{columns=[{Key={type=string}},
              {Value={type=string}}],
 data=[
    {Key=dstindex_1_is_ha, Value=1},
    {Key=dstindex_1mirror1_id, Value=192.168.0.202:6713:loc},
    {Key=dstindex_1mirror1_probability_weight, Value=0.372864},
    {Key=dstindex_1mirror1_is_blackhole, Value=0},
    {Key=dstindex_1mirror1_is_persistent, Value=0},
    {Key=dstindex_1mirror2_id, Value=192.168.0.202:6714:loc},
    {Key=dstindex_1mirror2_probability_weight, Value=0.374635},
    {Key=dstindex_1mirror2_is_blackhole, Value=0},
    {Key=dstindex_1mirror2_is_persistent, Value=439},
    {Key=dstindex_1mirror3_id, Value=dev1.manticoresearch.com:6714:loc},
    {Key=dstindex_1mirror3_probability_weight, Value= 0.252501},
    {Key=dstindex_1mirror3_is_blackhole, Value=0},
    {Key=dstindex_1mirror3_is_persistent, Value=439}
    ],
 error="",
 total=0,
 warning=""}

{
    "columns":
    [{
        "Key": {"type": "string"}},
        {"Value": {"type": "string"}
    }],
    "data":
    [
        {"Key": "dstindex_1_is_ha", "Value": "1"},
        {"Key": "dstindex_1mirror1_id", "Value": "192.168.0.202:6713:loc"},
        {"Key": "dstindex_1mirror1_probability_weight", "Value": "0.372864"},
        {"Key": "dstindex_1mirror1_is_blackhole", "Value": "0"},
        {"Key": "dstindex_1mirror1_is_persistent", "Value": "0"},
        {"Key": "dstindex_1mirror2_id", "Value": "192.168.0.202:6714:loc"},
        {"Key": "dstindex_1mirror2_probability_weight", "Value": "0.374635"},
        {"Key": "dstindex_1mirror2_is_blackhole", "Value": "0"},
        {"Key": "dstindex_1mirror2_is_persistent", "Value": "439"},
        {"Key": "dstindex_1mirror3_id", "Value": "dev1.manticoresearch.com:6714:loc"},
        {"Key": "dstindex_1mirror3_probability_weight", "Value": " 0.252501"},
        {"Key": "dstindex_1mirror3_is_blackhole", "Value": "0"},
        {"Key": "dstindex_1mirror3_is_persistent", "Value": "439"}
    ],
    "error": "",
    "total": 0,
    "warning": ""
}

{
    "columns":
    [{
        "Key": {"type": "string"}},
        {"Value": {"type": "string"}
    }],
    "data":
    [
        {"Key": "dstindex_1_is_ha", "Value": "1"},
        {"Key": "dstindex_1mirror1_id", "Value": "192.168.0.202:6713:loc"},
        {"Key": "dstindex_1mirror1_probability_weight", "Value": "0.372864"},
        {"Key": "dstindex_1mirror1_is_blackhole", "Value": "0"},
        {"Key": "dstindex_1mirror1_is_persistent", "Value": "0"},
        {"Key": "dstindex_1mirror2_id", "Value": "192.168.0.202:6714:loc"},
        {"Key": "dstindex_1mirror2_probability_weight", "Value": "0.374635"},
        {"Key": "dstindex_1mirror2_is_blackhole", "Value": "0"},
        {"Key": "dstindex_1mirror2_is_persistent", "Value": "439"},
        {"Key": "dstindex_1mirror3_id", "Value": "dev1.manticoresearch.com:6714:loc"},
        {"Key": "dstindex_1mirror3_probability_weight", "Value": " 0.252501"},
        {"Key": "dstindex_1mirror3_is_blackhole", "Value": "0"},
        {"Key": "dstindex_1mirror3_is_persistent", "Value": "439"}
    ],
    "error": "",
    "total": 0,
    "warning": ""
}

Manticore Search 具有内置的 Prometheus 导出器。要请求指标，请确保暴露了 HTTP 端口并简单地调用 /metrics 终端节点。

注意： 导出器需要 Buddy 被启用。

‹›

http

http

📋

⚙

curl -s 0:9308/metrics

‹›

Response

# HELP manticore_uptime_seconds Time in seconds since start
# TYPE manticore_uptime_seconds counter
manticore_uptime_seconds 25
# HELP manticore_connections_count Connections count since start
# TYPE manticore_connections_count gauge
manticore_connections_count 55
# HELP manticore_maxed_out_error_count Count of maxed_out errors since start
# TYPE manticore_maxed_out_error_count counter
manticore_maxed_out_error_count 0
# HELP manticore_version Manticore Search version
# TYPE manticore_version gauge
manticore_version {version="0.0.0 c88e811b2@25060409 (columnar 5.0.1 59c7092@25060304) (secondary 5.0.1 59c7092@25060304) (knn 5.0.1 59c7092@25060304) (embeddings 1.0.0) (buddy v3.28.6-7-g14ee10)"} 1
# HELP manticore_mysql_version Manticore Search version
# TYPE manticore_mysql_version gauge
manticore_mysql_version {version="0.0.0 c88e811b2@25060409 (columnar 5.0.1 59c7092@25060304) (secondary 5.0.1 59c7092@25060304) (knn 5.0.1 59c7092@25060304) (embeddings 1.0.0)"} 1
# HELP manticore_command_search_count Count of search queries since start
# TYPE manticore_command_search_count counter
manticore_command_search_count 1
......

旋转查询和服务器日志 SHOW META

Last modified: February 07, 2026

SHOW META [ LIKE pattern ]

SHOW META 是一个 SQL 语句，用于显示关于处理查询的附加元信息，包括查询时间、关键词统计，以及所使用的二级索引的信息。语法为：

包含的项有：

total：实际检索并发送给客户端的匹配数。此值通常受限于 LIMIT/size 搜索选项。
total_found：
- 索引中查询的估计匹配总数。如果需要确切的匹配数，请使用 SELECT COUNT(*)，而不是依赖此值。
- 对于带有 GROUP BY 的查询，total_found 表示分组数，而非单个匹配。
- 使用 HAVING 与 GROUP BY 时，total_found 反映在应用 HAVING 过滤器后的分组数。这使得使用 HAVING 子句时能够正确分页。
- 对于 GROUP N BY 查询，total_found 仍表示分组数，与 N 的值无关。
total_relation：指示 total_found 值是确切的还是估计的。
- 如果 Manticore 无法确定精确的 total_found 值，此字段将显示 total_relation: gte，表示实际匹配数 大于等于 报告的 total_found。
- 如果 total_found 值是确切的，将显示 total_relation: eq。
time：处理搜索查询所花费的时间（秒）。
keyword[N]：搜索查询中使用的第 n 个关键词。注意关键词可以是通配符形式，例如 abc*。
docs[N]：包含搜索查询中第 n 个关键词的文档（或记录）总数。如果关键词是通配符形式，此值表示所有扩展子关键词文档数的总和，可能超过实际匹配文档数。
hits[N]：搜索查询中第 n 个关键词在所有文档中的总出现次数（或命中数）。
index：使用的索引信息（例如二级索引）。

‹›

SQL

📋

SELECT id, story_author FROM hn_small WHERE MATCH('one|two|three') and comment_ranking > 2 limit 5;
show meta;

‹›

Response

+---------+--------------+
| id      | story_author |
+---------+--------------+
|  151171 | anewkid      |
|  302758 | bks          |
|  805806 | drRoflol     |
| 1099245 | tnorthcutt   |
|  303252 | whiten       |
+---------+--------------+
5 rows in set (0.00 sec)
+----------------+---------------------------------------+
| Variable_name  | Value                                 |
+----------------+---------------------------------------+
| total          | 5                                     |
| total_found    | 2308                                  |
| total_relation | eq                                    |
| time           | 0.001                                 |
| keyword[0]     | one                                   |
| docs[0]        | 224387                                |
| hits[0]        | 310327                                |
| keyword[1]     | three                                 |
| docs[1]        | 18181                                 |
| hits[1]        | 21102                                 |
| keyword[2]     | two                                   |
| docs[2]        | 63251                                 |
| hits[2]        | 75961                                 |
| index          | comment_ranking:SecondaryIndex (100%) |
+----------------+---------------------------------------+
14 rows in set (0.00 sec)

SHOW META 可以显示 I/O 和 CPU 计数器，但仅在 searchd 是用 --iostats 和 --cpustats 开关分别启动时可用。

‹›

SQL

📋

SELECT id,channel_id FROM records WHERE MATCH('one|two|three') limit 5;
SHOW META;

‹›

Response

+--------+--------------+
| id     | story_author |
+--------+--------------+
| 300263 | throwaway37  |
| 713503 | mahmud       |
| 716804 | mahmud       |
| 776906 | jimbokun     |
| 753332 | foxhop       |
+--------+--------------+
5 rows in set (0.01 sec)
+-----------------------+--------+
| Variable_name         | Value  |
+-----------------------+--------+
| total                 | 5      |
| total_found           | 266385 |
| total_relation        | eq     |
| time                  | 0.011  |
| cpu_time              | 18.004 |
| agents_cpu_time       | 0.000  |
| io_read_time          | 0.000  |
| io_read_ops           | 0      |
| io_read_kbytes        | 0.0    |
| io_write_time         | 0.000  |
| io_write_ops          | 0      |
| io_write_kbytes       | 0.0    |
| agent_io_read_time    | 0.000  |
| agent_io_read_ops     | 0      |
| agent_io_read_kbytes  | 0.0    |
| agent_io_write_time   | 0.000  |
| agent_io_write_ops    | 0      |
| agent_io_write_kbytes | 0.0    |
| keyword[0]            | one    |
| docs[0]               | 224387 |
| hits[0]               | 310327 |
| keyword[1]            | three  |
| docs[1]               | 18181  |
| hits[1]               | 21102  |
| keyword[2]            | two    |
| docs[2]               | 63251  |
| hits[2]               | 75961  |
+-----------------------+--------+
27 rows in set (0.00 sec)

额外值，如 predicted_time、dist_predicted_time、local_fetched_docs、local_fetched_hits、local_fetched_skips 及其对应的 dist_fetched_*，仅在 searchd 配置了预测时间成本且查询在 OPTION 子句中包含 predicted_time 时可用。

‹›

SQL

📋

SELECT id,story_author FROM hn_small WHERE MATCH('one|two|three') limit 5 option max_predicted_time=100;
SHOW META;

‹›

Response

+--------+--------------+
| id     | story_author |
+--------+--------------+
| 300263 | throwaway37  |
| 713503 | mahmud       |
| 716804 | mahmud       |
| 776906 | jimbokun     |
| 753332 | foxhop       |
+--------+--------------+
5 rows in set (0.01 sec)
mysql> show meta;
+---------------------+--------+
| Variable_name       | Value  |
+---------------------+--------+
| total               | 5      |
| total_found         | 266385 |
| total_relation      | eq     |
| time                | 0.012  |
| local_fetched_docs  | 307212 |
| local_fetched_hits  | 407390 |
| local_fetched_skips | 24     |
| predicted_time      | 56     |
| keyword[0]          | one    |
| docs[0]             | 224387 |
| hits[0]             | 310327 |
| keyword[1]          | three  |
| docs[1]             | 18181  |
| hits[1]             | 21102  |
| keyword[2]          | two    |
| docs[2]             | 63251  |
| hits[2]             | 75961  |
+---------------------+--------+
17 rows in set (0.00 sec)

SHOW META 必须在相同会话中紧接查询之后执行。由于部分 MySQL 连接器/库使用连接池，分开执行 SHOW META 可能导致意外结果，比如获取到别的查询的元数据。在这类情况下（且通常推荐），应执行包含查询和 SHOW META 的多语句。有些连接器/库支持在同一方法内多语句执行，而另一些可能需要专用方法或连接时设置特定选项来支持多语句。

‹›

SQL

📋

SELECT id,story_author FROM hn_small WHERE MATCH('one|two|three') LIMIT 5; SHOW META;

‹›

Response

+--------+--------------+
| id     | story_author |
+--------+--------------+
| 300263 | throwaway37  |
| 713503 | mahmud       |
| 716804 | mahmud       |
| 776906 | jimbokun     |
| 753332 | foxhop       |
+--------+--------------+
5 rows in set (0.01 sec)
+----------------+--------+
| Variable_name  | Value  |
+----------------+--------+
| total          | 5      |
| total_found    | 266385 |
| total_relation | eq     |
| time           | 0.011  |
| keyword[0]     | one    |
| docs[0]        | 224387 |
| hits[0]        | 310327 |
| keyword[1]     | three  |
| docs[1]        | 18181  |
| hits[1]        | 21102  |
| keyword[2]     | two    |
| docs[2]        | 63251  |
| hits[2]        | 75961  |
+----------------+--------+
13 rows in set (0.00 sec)

你也可以使用可选的 LIKE 子句，允许你只选择匹配特定模式的变量。模式语法遵循标准 SQL 通配符规则，其中 % 表示任意数量的任意字符，_ 表示单个字符。

‹›

SQL

📋

SHOW META LIKE 'total%';

‹›

Response

+----------------+--------+
| Variable_name  | Value  |
+----------------+--------+
| total          | 5      |
| total_found    | 266385 |
| total_relation | eq     |
+----------------+--------+
3 rows in set (0.00 sec)

使用分面搜索时，你可以检查 SHOW META 输出中的 multiplier 字段，以确定在优化分组中执行了多少查询。

‹›

SQL

📋

SELECT * FROM facetdemo FACET brand_id FACET price FACET categories;
SHOW META LIKE 'multiplier';

‹›

Response

+------+-------+----------+---------------------+-------------+-------------+---------------------------------------+------------+
| id   | price | brand_id | title               | brand_name  | property    | j                                     | categories |
+------+-------+----------+---------------------+-------------+-------------+---------------------------------------+------------+
|    1 |   306 |        1 | Product Ten Three   | Brand One   | Six_Ten     | {"prop1":66,"prop2":91,"prop3":"One"} | 10,11      |
...
+----------+----------+
| brand_id | count(*) |
+----------+----------+
|        1 |     1013 |
...
+-------+----------+
| price | count(*) |
+-------+----------+
|   306 |        7 |
...
+------------+----------+
| categories | count(*) |
+------------+----------+
|         10 |     2436 |
...
+---------------+-------+
| Variable_name | Value |
+---------------+-------+
| multiplier    | 4     |
+---------------+-------+
1 row in set (0.00 sec)

当基于成本的查询优化器选择使用 DocidIndex、ColumnarScan 或 SecondaryIndex 替代简单过滤时，这可以从 SHOW META 命令中反映出来。

index 变量显示了查询执行期间使用的二级索引名称及类型。百分比表示有多少磁盘块（针对 RT 表）或伪分片（针对普通表）使用了该二级索引。

‹›

SQL

📋

SELECT count(*) FROM taxi1 WHERE tip_amount = 5;
SHOW META;

‹›

Response

+----------------+----------------------------------+
| Variable_name  | Value                            |
+----------------+----------------------------------+
| total          | 1                                |
| total_found    | 1                                |
| total_relation | eq                               |
| time           | 0.016                            |
| index          | tip_amount:SecondaryIndex (100%) |
+----------------+----------------------------------+
5 rows in set (0.00 sec)

SHOW META 可用于执行 CALL PQ 语句后，其输出内容不同。

CALL PQ 后的 SHOW META 包含：

total - 匹配文档所花费的总时间
queries_matched - 匹配文档的存储查询数
document_matches - 匹配表中存储查询的文档数
total_queries_stored - 表中存储的查询总数
term_only_queries - 表中包含词项的查询数；其余查询使用扩展查询语法。

‹›

SQL

📋

CALL PQ ('pq', ('{"title":"angry", "gid":3 }')); SHOW META;

‹›

Response

+------+
| id   |
+------+
|    2 |
+------+
1 row in set (0.00 sec)
+-----------------------+-----------+
| Variable name         | Value     |
+-----------------------+-----------+
| total                 | 0.000 sec |
| queries_matched       | 1         |
| queries_failed        | 0         |
| document_matched      | 1         |
| total_queries_stored  | 2         |
| term_only_queries     | 2         |
| fast_rejected_queries | 1         |
+-----------------------+-----------+
7 rows in set (0.00 sec)

使用 CALL PQ 带有 verbose 选项可以提供更详细的输出。

它包括以下额外条目：

Setup - 初始匹配过程的设置时间，例如解析文档和设置选项
Queries failed - 失败的查询数量
Fast rejected queries - 未完全评估但快速匹配并被过滤或其他条件拒绝的查询数量
Time per query - 每个查询的详细时间
Time of matched queries - 匹配任何文档的查询所花费的总时间

‹›

SQL

📋

CALL PQ ('pq', ('{"title":"angry", "gid":3 }'), 1 as verbose); SHOW META;

‹›

Response

+------+
| id   |
+------+
|    2 |
+------+
1 row in set (0.00 sec)
+-------------------------+-----------+
| Variable name           | Value     |
+-------------------------+-----------+
| total                   | 0.000 sec |
| setup                   | 0.000 sec |
| queries_matched         | 1         |
| queries_failed          | 0         |
| document_matched        | 1         |
| total_queries_stored    | 2         |
| term_only_queries       | 2         |
| fast_rejected_queries   | 1         |
| time_per_query          | 69        |
| time_of_matched_queries | 69        |
+-------------------------+-----------+
10 rows in set (0.00 sec)

节点状态 SHOW THREADS

Last modified: November 17, 2025

轮转查询日志与服务器日志

FLUSH LOGS

≫ 节点信息和管理

节点状态

状态

SHOW 状态

查询时间统计

SHOW 设置

SHOW AGENT 状态

Prometheus Exporter

SHOW META

SHOW META 和 facets

SHOW META 和查询优化器

SHOW META 用于 PQ 表