▪️ Node info and management

Node status

STATUS

The easiest way to see high-level information about your Manticore node is by running status in mysql client. It will show you information about different things:

current version
whether SSL is in effect or not
current TCP port/unix socket
uptime
number of threads
number of jobs in queue
number of connections (clients)
number of tasks being processed now
number of queries made since start
number or jobs in queue and number of tasks normalized by number of threads

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

SHOW STATUS [ LIKE pattern ]

SHOW STATUS is an SQL statement that displays a number of useful performance counters. IO and CPU counters will only be available if searchd was started with --iostats and --cpustats switches respectively (or they were enabled via SET GLOBAL iostats/cpustats=1).

SQL

SHOW STATUS;

Response

+-----------------------+---------------------------+
| Counter               | Value                     |
+-----------------------+---------------------------+
| uptime                | 1385                      |
| connections           | 11                        |
| maxed_out             | 0                         |
| version               | 3.4.3 ab7cbe5d@200511 dev |
| mysql_version         | 3.4.3 ab7cbe5d@200511 dev |
| command_search        | 2                         |
| command_excerpt       | 0                         |
| command_update        | 0                         |
| command_delete        | 0                         |
| command_keywords      | 0                         |
| command_persist       | 0                         |
| command_status        | 1                         |
| command_flushattrs    | 0                         |
| command_set           | 1                         |
| command_insert        | 0                         |
| command_replace       | 0                         |
| command_commit        | 0                         |
| command_suggest       | 0                         |
| command_json          | 0                         |
| command_callpq        | 0                         |
| agent_connect         | 0                         |
| agent_retry           | 0                         |
| queries               | 12                        |
| dist_queries          | 0                         |
| workers_total         | 30                        |
| workers_active        | 1                         |
| workers_clients       | 0                         |
| workers_clients_vip   | 1                         |
| work_queue_length     | 1                         |
| query_wall            | 10.805                    |
| 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        | 0.900                     |
| 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      | 0                         |
| qcache_thresh_msec    | 3000                      |
| qcache_ttl_sec        | 60                        |
| qcache_cached_queries | 0                         |
| qcache_used_bytes     | 0                         |
| qcache_hits           | 0                         |
+-----------------------+---------------------------+
49 rows in set (0.00 sec)

An optional LIKE clause is supported. It lets you pick just the variables that match a pattern. The pattern syntax is that of regular SQL wildcards, that is, % means any number of any characters, and _ means a single character.

SQL

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     |
+-----------------------+-------+
6 rows in set (0.00 sec)

SHOW SETTINGS

SHOW SETTINGS is an SQL statement that displays the current settings from your configuration file. The setting names are represented in the following format: 'config_section_name'.'setting_name'

The result also contains two additionary values:

configuration_file - the path to the configuration file
worker_pid - the process id of the running searchd instance

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         | /var/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 STATUS

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

SHOW AGENT STATUS displays the statistic of remote agents or of a distributed table. It includes the values like the age of the last request, last answer, the number of different kind of errors and successes, etc. Statistic is shown for every agent for last 1, 5 and 15 intervals, each of them of ha_period_karma seconds.

SQL
PHP
Python
javascript
Java

SQL PHP Python javascript Java

SHOW AGENT STATUS;

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

utilsApi.sql('SHOW AGENT STATUS')

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

utilsApi.sql("SHOW AGENT STATUS");

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''}

{"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= }

An optional LIKE clause is supported, syntax is the same as in SHOW STATUS.

SQL
PHP
Python
javascript
Java

SQL PHP Python javascript Java

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

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

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%\"");

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''}

{"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: }

You can specify a particular agent by its address. In this case only that agent’s data will be displayed. Also, agent_ prefix will be used instead of ag_N_:

SQL
PHP
Python
javascript
Java

SQL PHP Python javascript Java

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%\'')

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%\"");

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''}

{"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=}

Finally, you can check the status of the agents in a specific distributed table. It can be done with a SHOW AGENT index_name STATUS statement. That statement shows the table HA status (i.e. whether or not it uses agent mirrors at all), and then the mirror information (specifically: address, blackhole and persistent flags, and the mirror selection probability used when one of the weighted probability strategies is in effect).

SQL
PHP
Python
javascript
Java

SQL PHP Python javascript Java

SHOW AGENT dist_index STATUS;

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

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%\"");

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''}

{"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=}

SHOW CHARACTER SET

SHOW CHARACTER SET

This is currently a placeholder query that does nothing and reports that a UTF-8 character set is available. It was added in order to keep compatibility with frameworks and connectors that automatically execute this statement.

mysql> SHOW CHARACTER SET;
+---------+---------------+-------------------+--------+
| Charset | Description   | Default collation | Maxlen |
+---------+---------------+-------------------+--------+
| utf8    | UTF-8 Unicode | utf8_general_ci   | 3      |
+---------+---------------+-------------------+--------+
1 row in set (0.00 sec)

SHOW META

SHOW META [ LIKE pattern ]

SHOW META is an SQL statement that shows additional meta-information about the latest query such as query time and keyword statistics. The syntax is:

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           | 0.012  |
| 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)

SHOW META can show IO and CPU counters, but they will only be available if searchd was started with --iostats and --cpustats switches respectively.

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)

Additional predicted_time, dist_predicted_time, local_fetched_docs, local_fetched_hits, local_fetched_skips and their respective dist_fetched_* counterparts will only be available if searchd was configured with predicted time costs and query had predicted_time in the OPTION clause.

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 needs to run right after the query was executed in the same session. As some mysql connectors/libraries use connection pools, running SHOW META in a separate statement an lead to unexpected results like getting meta from another query. In these cases (and recommended in general) is to run a multiple statement containing query + SHOW META. Some connectors/libraries support o multi-queries on same method for single statement, other may require usage of a dedicated method for multi-queries or setting specific options at connection setup.

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)

You can also use the optional LIKE clause. It lets you pick just the variables that match a pattern. The pattern syntax is that of regular SQL wildcards, that is, % means any number of any characters, and _ means a single character.

SQL

SHOW META LIKE 'total%';

Response

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

When using faceted search, you can check multiplier field in SHOW META output to see how many queries were run in an optimized group.

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)

SHOW META and query optimizer

When the cost-based query optimizer decides to use DocidIndex, ColumnarScan or SecondaryIndex in place of a plain filter, this is reflected in the SHOW META command.

The index variable lists the names and types of secondary indexes used while executing the query. The percent shows how many disk chunks (in the case of an RT index) or pseudo shards (in the case of a plain index) the secondary index was used on.

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 for PQ tables

SHOW META can be used after executing a CALL PQ statement. In this case, it provides a different output.

SHOW META after a CALL PQ statement contains:

Total - total time spent on matching the document(s)
Queries matched- how many stored queries match the document(s)
Document matches - how many documents matched the queries stored in the table
Total queries stored - number of queries stored in the table
Term only queries - how many queries in the table have terms. The rest of the queries have extended query syntax.

SQL

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

Response

+------+
| id   |
+------+
|    2 |
+------+
1 row in set (0.00 sec)
+-----------------------+-----------+
| 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)

CALL PQ with a verbose option gives a more detailed output.

It includes the following additional entries:

Setup - time spent on initial setup of the matching process: parsing docs, setting options, etc.
Queries failed - number of queries that failed
Fast rejected queries - number of queries that were not fully evaluated, but quickly matched and rejected with filters or other conditions
Time per query - detailed times for each query
Time of matched queries - total time spent on queries that matched any documents

SQL

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

Response

+------+
| id   |
+------+
|    2 |
+------+
1 row in set (0.00 sec)
+-------------------------+-----------+
| 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)

Node status

▪️ Node info and management

Node status

STATUS

SHOW STATUS

SHOW SETTINGS

SHOW AGENT STATUS

SHOW CHARACTER SET

SHOW META

SHOW META and facets

SHOW META and query optimizer

SHOW META for PQ tables