elasticsearch文件句柄，段合并操作

1.查看elasticsearch当前占用的文件句柄以及最大支持多少命令

执行下面命令

1	curl -XGET 'http://localhost:9200/_nodes/stats/process?pretty'

 

 

得到结果

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{ "cluster_name" : "bigdata", "nodes" : { "vI_Wjf8lTampVLyfxjfD_w" : { "timestamp" : 1498373752227, "name" : "Mister Jip", "transport_address" : "192.168.1.26:9300", "host" : "192.168.1.26", "ip" : [ "192.168.1.26:9300", "NONE" ], "attributes" : { "master" : "true" }, "process" : { "timestamp" : 1498373752227, "open_file_descriptors" : 22025, "max_file_descriptors" : 65535, "cpu" : { "percent" : 2, "total_in_millis" : 73784210 }, "mem" : { "total_virtual_in_bytes" : 87965753344 } } } } }

其中 cluster_name代表集群名称； process代表es当前节点的process信息；open_file_descriptors代表当前占用的文件句柄数量;max_file_descriptors代表最大的文件句柄个数

查看索引段信息

执行以下命令

1	curl -XGET 'http://localhost:9200/las-e-2017-06-23/_segments'

 

意思为查看las-e-2017-06-23索引信息的段信息情况，得到结果为

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"indices" : { "las-e-2017-06-04" : { "shards" : { "0" : [ { "routing" : { "state" : "STARTED", "primary" : true, "node" : "vI_Wjf8lTampVLyfxjfD_w" }, "num_committed_segments" : 1, "num_search_segments" : 1, "segments" : { "_kn1" : { "generation" : 26749, "num_docs" : 248501, "deleted_docs" : 0, "size_in_bytes" : 62363970, "memory_in_bytes" : 419388, "committed" : true, "search" : true, "version" : "5.5.0", "compound" : false } } } ], "1" : [ { "routing" : { "state" : "STARTED", "primary" : true, "node" : "vI_Wjf8lTampVLyfxjfD_w" }, "num_committed_segments" : 1, "num_search_segments" : 1, "segments" : { "_kbz" : { "generation" : 26351, "num_docs" : 248426, "deleted_docs" : 0, "size_in_bytes" : 62322932, "memory_in_bytes" : 417771, "committed" : true, "search" : true, "version" : "5.5.0", "compound" : false } } } ] } } }

如图以上所示可以看到有0，1两个段信息。

强制执行段合并操作

假如我们需要强制执行段合并操作，且将索引信息合并为一个shards一个段，则要加入参数max_num_segments=1，此操作执行过程中会消耗设备的IO,内存以及cpu等情况。如果要合并多个索引，则执行时间较长。执行命令为:

1	curl -XPOST 'http://localhost:9200/las-e-2017-02-11/ _forcemerge?max_num_segments=1'

以上命令意思为，强制对索引las-e-2017-02-11进行段合并操作，合并完成会返回数据格式类似与：

1	{"_shards":{"total":5,"successful":5,"failed":0}}