Apache Solr - 基本命令

启动 Solr

安装 Solr 后，浏览至 Solr 主目录中的 bin 文件夹，然后使用以下命令启动 Solr。

[Hadoop@localhost ~]$ cd
[Hadoop@localhost ~]$ cd Solr/
[Hadoop@localhost Solr]$ cd bin/
[Hadoop@localhost bin]$ ./Solr start

此命令在后台启动 Solr，并通过显示以下消息来监听端口 8983。

等待最多 30 秒，即可看到 Solr 在端口 8983 上运行 [\]
已在端口 8983 (pid = 6035) 上启动 Solr 服务器。祝您搜索愉快!

在前台启动 Solr

如果您使用 start 命令启动 Solr，那么 Solr 将在后台启动。相反，您可以使用 –f 选项在前台启动 Solr。

[Hadoop@localhost bin]$ ./Solr start –f  

5823 INFO  (coreLoadExecutor-6-thread-2) [   ] o.a.s.c.SolrResourceLoader 
Adding 'file:/home/Hadoop/Solr/contrib/extraction/lib/xmlbeans-2.6.0.jar' to 
classloader 
5823 INFO  (coreLoadExecutor-6-thread-2) [   ] o.a.s.c.SolrResourceLoader 
Adding 'file:/home/Hadoop/Solr/dist/Solr-cell-6.2.0.jar' to classloader 
5823 INFO  (coreLoadExecutor-6-thread-2) [   ] o.a.s.c.SolrResourceLoader 
Adding 'file:/home/Hadoop/Solr/contrib/clustering/lib/carrot2-guava-18.0.jar' 
to classloader 
5823 INFO  (coreLoadExecutor-6-thread-2) [   ] o.a.s.c.SolrResourceLoader 
Adding 'file:/home/Hadoop/Solr/contrib/clustering/lib/attributes-binder1.3.1.jar' 
to classloader 
5823 INFO  (coreLoadExecutor-6-thread-2) [   ] o.a.s.c.SolrResourceLoader 
Adding 'file:/home/Hadoop/Solr/contrib/clustering/lib/simple-xml-2.7.1.jar' 
to classloader 
…………………………………………………………………………………………………………………………………………………………………………………………………………… 
…………………………………………………………………………………………………………………………………………………………………………………………………. 
12901 INFO  (coreLoadExecutor-6-thread-1) [   x:Solr_sample] o.a.s.u.UpdateLog 
Took 24.0ms to seed version buckets with highest version 1546058939881226240 12902 
INFO  (coreLoadExecutor-6-thread-1) [   x:Solr_sample] 
o.a.s.c.CoreContainer registering core: Solr_sample 
12904 INFO  (coreLoadExecutor-6-thread-2) [   x:my_core] o.a.s.u.UpdateLog Took 
16.0ms to seed version buckets with highest version 1546058939894857728 
12904 INFO  (coreLoadExecutor-6-thread-2) [   x:my_core] o.a.s.c.CoreContainer 
registering core: my_core

在另一个端口启动 Solr

使用 start 命令的 –p 选项，我们可以在另一个端口启动 Solr，如下面的代码块所示。

[Hadoop@localhost bin]$ ./Solr start -p 8984  

Waiting up to 30 seconds to see Solr running on port 8984 [-]   
Started Solr server on port 8984 (pid = 10137). Happy searching!

停止 Solr

您可以使用 stop 命令停止 Solr。

$ ./Solr stop

此命令停止 Solr，并显示如下所示的消息。

Sending stop command to Solr running on port 8983 ... waiting 5 seconds to 
allow Jetty process 6035 to stop gracefully.

重新启动 Solr

Solr 的 restart 命令会停止 Solr 5 秒钟，然后重新启动。您可以使用以下命令重新启动 Solr −

./Solr restart

此命令重新启动 Solr，并显示以下消息−

Sending stop command to Solr running on port 8983 ... waiting 5 seconds to 
allow Jetty process 6671 to stop gracefully. 
Waiting up to 30 seconds to see Solr running on port 8983 [|]  [/]   
Started Solr server on port 8983 (pid = 6906). Happy searching!

Solr ─ help 命令

Solr 的 help 命令可用于检查 Solr 提示符及其选项的使用情况。

[Hadoop@localhost bin]$ ./Solr -help  

Usage: Solr COMMAND OPTIONS        
   where COMMAND is one of: start, stop, restart, status, healthcheck, 
create, create_core, create_collection, delete, version, zk  
Standalone server example (start Solr running in the background on port 8984):  
   ./Solr start -p 8984  
SolrCloud example (start Solr running in SolrCloud mode using localhost:2181 
to connect to Zookeeper, with 1g max heap size and remote Java debug options enabled):  
   ./Solr start -c -m 1g -z localhost:2181 -a "-Xdebug -
   Xrunjdwp:transport = dt_socket,server = y,suspend = n,address = 1044"  
Pass -help after any COMMAND to see command-specific usage information,   
such as: ./Solr start -help or ./Solr stop -help

Solr ─ status 命令

Solr 的此 status 命令可用于搜索和查找计算机上正在运行的 Solr 实例。它可以为您提供有关 Solr 实例的信息，例如其版本、内存使用情况等。

您可以使用 status 命令检查 Solr 实例的状态，如下所示 −

[Hadoop@localhost bin]$ ./Solr status

执行时，上述命令将显示 Solr 的状态，如下所示 −

Found 1 Solr nodes:   

Solr process 6906 running on port 8983 {   
   "Solr_home":"/home/Hadoop/Solr/server/Solr",   
   "version":"6.2.0 764d0f19151dbff6f5fcd9fc4b2682cf934590c5 - 
   mike - 2016-08-20 05:41:37",   
   "startTime":"2016-09-20T06:00:02.877Z",   
   "uptime":"0 days, 0 hours, 5 minutes, 14 seconds",   
   "memory":"30.6 MB (%6.2) of 490.7 MB"
}