• SHOW THREADS
SHOW THREADS [ OPTION columns=width[,format=sphinxql][,format=all] ]SHOW THREADS 是一个 SQL 语句，用于显示所有线程及其当前活动的详细信息。
返回的表格包含以下列：
TID: 由内核分配给线程的 ID
Name: 线程名称，可在
top、htop、ps和其他进程查看工具中看到Proto: 连接协议，可能的值包括
sphinx,mysql,http,ssl,compressed,replication，或者它们的组合（例如，http,ssl或compressed,mysql）State: 线程状态，可能的值包括
handshake,net_read,net_write,query,net_idleConnection from: 客户端的
ip:portConnID: 连接 ID（从 0 开始）
This/prev job time: 当线程正在工作时，显示当前任务已运行的时间；当线程空闲时，显示上一个任务的持续时间，并附加后缀
prevJobs done: 此线程已完成的任务数量
Thread status:
idling（空闲）或working（工作中）Info: 查询的详细信息，如果查询目标是分布式表或实时表，可能包含多个查询
SQL:
SHOW THREADS;*************************** 1. row ***************************
TID: 83
Name: work_1
Proto: mysql
State: query
Connection from: 172.17.0.1:43300
ConnID: 8
This/prev job time: 630us
CPU activity: 94.15%
Jobs done: 2490
Thread status: working
Info: SHOW THREADS
*************************** 2. row ***************************
TID: 84
Name: work_2
Proto: mysql
State: query
Connection from: 172.17.0.1:43301
ConnID: 9
This/prev job time: 689us
CPU activity: 89.23%
Jobs done: 1830
Thread status: working
Info: show threads
JSON:
POST /cli -d "SHOW THREADS"+--------+---------+-------+-------+-----------------+--------+-----------------------+-----------+---------------+--------------+
| TID | Name | Proto | State | Connection from | ConnID | This/prev job time, s | Jobs done | Thread status | Info |
+--------+---------+-------+-------+-----------------+--------+-----------------------+-----------+---------------+--------------+
| 501494 | work_23 | http | query | 127.0.0.1:41300 | 1473 | 249us | 1681 | working | show_threads |
+--------+---------+-------+-------+-----------------+--------+-----------------------+-----------+---------------+--------------+PHP:
require_once __DIR__ . '/vendor/autoload.php';
$config = ['host'=>'127.0.0.1','port'=>9308];
$client = new \Manticoresearch\Client($config);
print_r($client->nodes()->threads());Array
(
[0] => Array
(
[TID] => 506960
[Name] => work_8
[Proto] => http
[State] => query
[Connection from] => 127.0.0.1:38072
[ConnID] => 17
[This/prev job time, s] => 231us
[CPU activity] => 93.54%
[Jobs done] => 8
[Thread status] => working
[Info] => show_threads
)
)Python:
import manticoresearch
config = manticoresearch.Configuration(
host = "http://127.0.0.1:9308"
)
client = manticoresearch.ApiClient(config)
utilsApi = manticoresearch.UtilsApi(client)
print(utilsApi.sql('SHOW THREADS'))[{'columns': [{'TID': {'type': 'long'}}, {'Name': {'type': 'string'}}, {'Proto': {'type': 'string'}}, {'State': {'type': 'string'}}, {'Connection from': {'type': 'string'}}, {'ConnID': {'type': 'long long'}}, {'This/prev job time, s': {'type': 'string'}}, {'CPU activity': {'type': 'float'}}, {'Jobs done': {'type': 'long'}}, {'Thread status': {'type': 'string'}}, {'Info': {'type': 'string'}}], 'data': [{'TID': 506958, 'Name': 'work_6', 'Proto': 'http', 'State': 'query', 'Connection from': '127.0.0.1:38600', 'ConnID': 834, 'This/prev job time, s': '206us', 'CPU activity': '91.85%', 'Jobs done': 943, 'Thread status': 'working', 'Info': 'show_threads'}], 'total': 1, 'error': '', 'warning': ''}]Javascript:
var Manticoresearch = require('manticoresearch');
var utilsApi = new Manticoresearch.UtilsApi();
async function showThreads() {
res = await utilsApi.sql('SHOW THREADS');
console.log(JSON.stringify(res, null, 4));
}
showThreads();[
{
"columns": [
{
"TID": {
"type": "long"
}
},
{
"Name": {
"type": "string"
}
},
{
"Proto": {
"type": "string"
}
},
{
"State": {
"type": "string"
}
},
{
"Connection from": {
"type": "string"
}
},
{
"ConnID": {
"type": "long long"
}
},
{
"This/prev job time, s": {
"type": "string"
}
},
{
"CPU activity": {
"type": "float"
}
},
{
"Jobs done": {
"type": "long"
}
},
{
"Thread status": {
"type": "string"
}
},
{
"Info": {
"type": "string"
}
}
],
"data": [
{
"TID": 506964,
"Name": "work_12",
"Proto": "http",
"State": "query",
"Connection from": "127.0.0.1:36656",
"ConnID": 2884,
"This/prev job time, s": "236us",
"CPU activity": "91.73%",
"Jobs done": 3328,
"Thread status": "working",
"Info": "show_threads"
}
],
"total": 1,
"error": "",
"warning": ""
}
]java:
utilsApi.sql("SHOW THREADS");
{
columns=[
{
TID={
type=string
}
},
{
Name={
type=string
}
},
{
Proto={
type=string
}
},
{
State={
type=string
}
},
{
Connection from={
type=string
}
},
{
ConnID={
type=string
}
},
{
This/prev job time={
type=string
}
},
{
CPU activity={
type=string
}
},
{
Jobs done={
type=string
}
},
{
Thread status={
type=string
}
},
{
Info={
type=string
}
}
],
data=[
{
TID=82,
Name=work_0,
Proto=http,
State=query,
Connection from=172.17.0.1:60550,
ConnID=163,
This/prev job time=105us,
CPU activity=44.68%,
Jobs done=849,
Thread status=working,
Info=show_threads
}
],
total=0,
error=,
warning=
}C#:
utilsApi.Sql("SHOW THREADS");
{
columns=[
{
TID={
type=string
}
},
{
Name={
type=string
}
},
{
Proto={
type=string
}
},
{
State={
type=string
}
},
{
Connection from={
type=string
}
},
{
ConnID={
type=string
}
},
{
This/prev job time= {
type=string
}
},
{
Jobs done={
type=string
}
},
{
Thread status={
type=string
}
},
{
Info={
type=string
}
}
],
data=[
{
TID=83,
Name=work_1,
Proto=http,
State=query,
Connection from=172.17.0.1:41410,
ConnID=6,
This/prev job time=689us,
Jobs done=159,
Thread status=working,
Info=show_threads
}
],
total=0,
error="",
warning=""
}TypeScript:
res = await utilsApi.sql('SHOW THREADS');[
{
"columns": [
{
"TID": {
"type": "long"
}
},
{
"Name": {
"type": "string"
}
},
{
"Proto": {
"type": "string"
}
},
{
"State": {
"type": "string"
}
},
{
"Connection from": {
"type": "string"
}
},
{
"ConnID": {
"type": "long long"
}
},
{
"This/prev job time, s": {
"type": "string"
}
},
{
"CPU activity": {
"type": "float"
}
},
{
"Jobs done": {
"type": "long"
}
},
{
"Thread status": {
"type": "string"
}
},
{
"Info": {
"type": "string"
}
}
],
"data": [
{
"TID": 506964,
"Name": "work_12",
"Proto": "http",
"State": "query",
"Connection from": "127.0.0.1:36656",
"ConnID": 2884,
"This/prev job time, s": "236us",
"CPU activity": "91.73%",
"Jobs done": 3328,
"Thread status": "working",
"Info": "show_threads"
}
],
"total": 1,
"error": "",
"warning": ""
}
]Go:
apiClient.UtilsAPI.Sql(context.Background()).Body("SHOW THREADS").Execute()[
{
"columns": [
{
"TID": {
"type": "long"
}
},
{
"Name": {
"type": "string"
}
},
{
"Proto": {
"type": "string"
}
},
{
"State": {
"type": "string"
}
},
{
"Connection from": {
"type": "string"
}
},
{
"ConnID": {
"type": "long long"
}
},
{
"This/prev job time, s": {
"type": "string"
}
},
{
"CPU activity": {
"type": "float"
}
},
{
"Jobs done": {
"type": "long"
}
},
{
"Thread status": {
"type": "string"
}
},
{
"Info": {
"type": "string"
}
}
],
"data": [
{
"TID": 506964,
"Name": "work_12",
"Proto": "http",
"State": "query",
"Connection from": "127.0.0.1:36656",
"ConnID": 2884,
"This/prev job time, s": "236us",
"CPU activity": "91.73%",
"Jobs done": 3328,
"Thread status": "working",
"Info": "show_threads"
}
],
"total": 1,
"error": "",
"warning": ""
}
]Info 列显示的内容包括：
通过 Manticore SQL 接口执行的查询的原始文本。
使用内部 Manticore 二进制协议执行的查询（例如，从远程 Manticore 实例）时，显示查询的完整文本语法、注释及数据大小。
可以通过指定 columns=N 选项来限制 Info 列的最大宽度。
默认情况下，查询将以原始格式显示。但如果使用了 format=sphinxql 选项，查询将以 SQL 格式显示，无论执行协议是什么。
使用 format=all 将显示所有线程，而不使用此选项时，空闲线程和系统线程将被隐藏（例如，那些忙于 OPTIMIZE 的线程）。
SQL:
SHOW THREADS OPTION columns=30\GJSON:
POST /cli -d "SHOW THREADS OPTION columns=30"PHP:
$client->nodes()->threads(['body'=>['columns'=>30]]);Python:
utilsApi.sql('SHOW THREADS OPTION columns=30')Javascript:
res = await utilsApi.sql('SHOW THREADS OPTION columns=30');java:
utilsApi.sql("SHOW THREADS OPTION columns=30");C#:
utilsApi.Sql("SHOW THREADS OPTION columns=30");TypeScript:
res = await utilsApi.sql('SHOW THREADS OPTION columns=30');Go:
apiClient.UtilsAPI.Sql(context.Background()).Body("SHOW THREADS OPTION columns=30").Execute()最后更新于