Elasticsearch之settings和mappings的意义
简单的说，就是
settings是修改分片和副本数的。
mappings是修改字段和类型的。
记住，可以用url方式来操作它们，也可以用java方式来操作它们。建议用url方式，因为简单很多。
1、ES中的settings
查询索引库的settings信息
[hadoop@HadoopMaster elasticsearch-2.4.3]$ curl -XGET http://192.168.80.10:9200/zhouls/_settings?pretty
{
"zhouls" : {
"settings" : {
"index" : {
"creation_date" : "1488203759467",
"uuid" : "Sppm-db_Qm-OHptOC7vznw",
"number_of_replicas" : "1",
"number_of_shards" : "5",
"version" : {
"created" : "2040399"
}
}
}
}
}
[hadoop@HadoopMaster elasticsearch-2.4.3]$
settings修改索引库默认配置
例如：分片数量，副本数量
查看：curl -XGET http://192.168.80.10:9200/zhouls/_settings?pretty
操作不存在索引：curl -XPUT '192.168.80.10:9200/liuch/' -d'{"settings":{"number_of_shards":3,"number_of_replicas":0}}'
操作已存在索引：curl -XPUT '192.168.80.10:9200/zhouls/_settings' -d'{"index":{"number_of_replicas":1}}'
总结：就是，不存在索引时,可以指定副本和分片，如果已经存在,则只能修改副本。
在创建新的索引库时，可以指定索引分片的副本数。默认是1，这个很简单
2、ES中的mappings
ES的mapping如何用？什么时候需要手动，什么时候需要自动？
Mapping,就是对索引库中索引的字段名称及其数据类型进行定义，类似于mysql中的表结构信息。不过es的mapping比数据库灵活很多，它可以动态识别字段。一般不需要指定mapping都可以，因为es会自动根据数据格式识别它的类型，如果你需要对某些字段添加特殊属性（如：定义使用其它分词器、是否分词、是否存储等），就必须手动添加mapping。
我们在es中添加索引数据时不需要指定数据类型，es中有自动影射机制，字符串映射为string，数字映射为long。通过mappings可以指定数据类型是否存储等属性。
查询索引库的mapping信息
[hadoop@HadoopMaster elasticsearch-2.4.3]$ curl -XGET http://192.168.80.10:9200/zhouls/emp/_mapping?pretty
{
"zhouls" : {
"mappings" : {
"emp" : {
"properties" : {
"name" : {
"type" : "string"
},
"score" : {
"type" : "long"
},
"type" : {
"type" : "string"
}
}
}
}
}
}
[hadoop@HadoopMaster elasticsearch-2.4.3]$
mappings修改字段相关属性
例如：字段类型，使用哪种分词工具啊等，如下：
注意：下面可以使用indexAnalyzer定义分词器，也可以使用index_analyzer定义分词器
操作不存在的索引
curl -XPUT '192.168.80.10:9200/zhouls' -d'{"mappings":{"emp":{"properties":{"name":{"type":"string","analyzer": "ik_max_word"}}}}}'
操作已存在的索引
curl -XPOST http://192.168.80.10:9200/zhouls/emp/_mapping -d'{"properties":{"name":{"type":"string","analyzer": "ik_max_word"}}}'
也许我上面这样写，很多人不太懂，我下面，就举个例子。（大家必须要会）
第一步：先编辑tvcount.json文件
内容如下（做了笔记）：
{
"settings":{ #settings是修改分片和副本数的
"number_of_shards":3, #分片为3
"number_of_replicas":0 #副本数为0
},
"mappings":{ #mappings是修改字段和类型的
"tvcount":{ "dynamic":"strict", "_all":{"enabled":false}, "properties":{ "tvname":{"type":"string","index":"analyzed","analyzer":"ik_max_word","search_analyzer": "ik_max_word"},
如，string类型，analyzed索引，ik_max_word分词器 "director":{"type":"string","index":"analyzed","analyzer":"ik_max_word","search_analyzer": "ik_max_word"}, "actor":{"type":"string","index":"analyzed","analyzer":"ik_max_word","search_analyzer": "ik_max_word"}, "allnumber":{"type":"string","index":"not_analyzed"}, "tvtype":{"type":"string","index":"analyzed","analyzer":"ik_max_word","search_analyzer": "ik_max_word"}, "description":{"type":"string","index":"analyzed","analyzer":"ik_max_word","search_analyzer": "ik_max_word"}, "pic":{"type":"string","index":"not_analyzed"} } } } }
即，tvname（电视名称） director（导演） actor（主演） allnumber（总播放量）
tvtype（电视类别） description（描述）
‘’
[hadoop@master elasticsearch-2.4.0]$ ll
total 52
drwxrwxr-x 2 hadoop hadoop 4096 Jul 6 20:25 bin
drwxrwxr-x 3 hadoop hadoop 4096 Jul 6 20:27 config
drwxrwxr-x 2 hadoop hadoop 4096 Apr 21 14:19 lib
-rw-rw-r-- 1 hadoop hadoop 11358 Aug 24 2016 LICENSE.txt drwxrwxr-x 5 hadoop hadoop 4096 Aug 29 2016 modules -rw-rw-r-- 1 hadoop hadoop 150 Aug 24 2016 NOTICE.txt drwxrwxr-x 6 hadoop hadoop 4096 Jul 6 15:33 plugins -rw-rw-r-- 1 hadoop hadoop 8700 Aug 24 2016 README.textile -rw-rw-r-- 1 hadoop hadoop 195 Jul 1 12:18 requests [hadoop@master elasticsearch-2.4.0]$ vim tvcount.json
{
"settings":{
"number_of_shards":3,
"number_of_replicas":0
},
"mappings":{
"tvcount":{ "dynamic":"strict", "_all":{"enabled":false}, "properties":{ "tvname":{"type":"string","index":"analyzed","analyzer":"ik_max_word","search_analyzer": "ik_max_word"}, "director":{"type":"string","index":"analyzed","analyzer":"ik_max_word","search_analyzer": "ik_max_word"}, "actor":{"type":"string","index":"analyzed","analyzer":"ik_max_word","search_analyzer": "ik_max_word"}, "allnumber":{"type":"string","index":"not_analyzed"}, "tvtype":{"type":"string","index":"analyzed","analyzer":"ik_max_word","search_analyzer": "ik_max_word"}, "description":{"type":"string","index":"analyzed","analyzer":"ik_max_word","search_analyzer": "ik_max_word"}, "pic":{"type":"string","index":"not_analyzed"} } } } }
http://192.168.80.145:9200/_plugin/head/
第二步：创建mapping
这里，因为，之前，我们是在/home/hadoop/app/elasticsearch-2.4.0下，这个目录下有我们刚之前写的tvcount.json，所以可以直接
curl -XPOST 'http://master:9200/tv' -d @tvcount.json
不然的话，就需要用绝对路径
[hadoop@master elasticsearch-2.4.0]$ pwd
/home/hadoop/app/elasticsearch-2.4.0
[hadoop@master elasticsearch-2.4.0]$ ll
total 56
drwxrwxr-x 2 hadoop hadoop 4096 Jul 6 20:25 bin
drwxrwxr-x 3 hadoop hadoop 4096 Jul 6 20:27 config drwxrwxr-x 2 hadoop hadoop 4096 Apr 21 14:19 lib -rw-rw-r-- 1 hadoop hadoop 11358 Aug 24 2016 LICENSE.txt drwxrwxr-x 5 hadoop hadoop 4096 Aug 29 2016 modules -rw-rw-r-- 1 hadoop hadoop 150 Aug 24 2016 NOTICE.txt drwxrwxr-x 6 hadoop hadoop 4096 Jul 6 15:33 plugins -rw-rw-r-- 1 hadoop hadoop 8700 Aug 24 2016 README.textile -rw-rw-r-- 1 hadoop hadoop 195 Jul 1 12:18 requests -rw-rw-r-- 1 hadoop hadoop 1022 Jul 6 22:27 tvcount.json [hadoop@master elasticsearch-2.4.0]$ curl -XPOST 'http://master:9200/tv' -d @tvcount.json {"acknowledged":true}[hadoop@master elasticsearch-2.4.0]$ [hadoop@master elasticsearch-2.4.0]$ [hadoop@master elasticsearch-2.4.0]$
简单的说，就是
settings是修改分片和副本数的。
mappings是修改字段和类型的。
具体，见我的博客
Elasticsearch之settings和mappings（图文详解）
然后，再来查询下
[hadoop@master elasticsearch-2.4.0]$ pwd
/home/hadoop/app/elasticsearch-2.4.0
[hadoop@master elasticsearch-2.4.0]$ curl -XGET http://master:9200/tv/_settings?pretty
{
"tv" : {
"settings" : {
"index" : { "creation_date" : "1499351407949", "uuid" : "O30Uk9uRTlGLRVfbO26gUQ", "number_of_replicas" : "0", "number_of_shards" : "3", "version" : { "created" : "2040099" } } } } } [hadoop@master elasticsearch-2.4.0]$
然后，再来查看mapping（mappings是修改字段和类型的）
[hadoop@master elasticsearch-2.4.0]$ pwd
/home/hadoop/app/elasticsearch-2.4.0
[hadoop@master elasticsearch-2.4.0]$ curl -XGET http://master:9200/tv/_mapping?pretty
{
"tv" : {
"mappings" : {
"tvcount" : { "dynamic" : "strict", "_all" : { "enabled" : false }, "properties" : { "actor" : { "type" : "string", "analyzer" : "ik_max_word" }, "allnumber" : { "type" : "string", "index" : "not_analyzed" }, "description" : { "type" : "string", "analyzer" : "ik_max_word" }, "director" : { "type" : "string", "analyzer" : "ik_max_word" }, "pic" : { "type" : "string", "index" : "not_analyzed" }, "tvname" : { "type" : "string", "analyzer" : "ik_max_word" }, "tvtype" : { "type" : "string", "analyzer" : "ik_max_word" } } } } } } [hadoop@master elasticsearch-2.4.0]$
说简单点就是，tvcount.json里已经初步设置好了settings和mappings。
然后启动hdfs、启动hbase
这里，很简单，不多说。
[hadoop@master elasticsearch-2.4.0]$ cd $HADOOP_HOME [hadoop@master hadoop-2.6.0]$ jps 6261 Jps 2451 QuorumPeerMain 4893 Elasticsearch [hadoop@master hadoop-2.6.0]$ sbin/start-all.sh This script is Deprecated. Instead use start-dfs.sh and start-yarn.sh 17/07/06 23:02:59 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable Starting namenodes on [master] master: starting namenode, logging to /home/hadoop/app/hadoop-2.6.0/logs/hadoop-hadoop-namenode-master.out slave2: starting datanode, logging to /home/hadoop/app/hadoop-2.6.0/logs/hadoop-hadoop-datanode-slave2.out slave1: starting datanode, logging to /home/hadoop/app/hadoop-2.6.0/logs/hadoop-hadoop-datanode-slave1.out Starting secondary namenodes [0.0.0.0] 0.0.0.0: starting secondarynamenode, logging to /home/hadoop/app/hadoop-2.6.0/logs/hadoop-hadoop-secondarynamenode-master.out 17/07/06 23:06:46 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable starting yarn daemons starting resourcemanager, logging to /home/hadoop/app/hadoop-2.6.0/logs/yarn-hadoop-resourcemanager-master.out slave2: starting nodemanager, logging to /home/hadoop/app/hadoop-2.6.0/logs/yarn-hadoop-nodemanager-slave2.out slave1: starting nodemanager, logging to /home/hadoop/app/hadoop-2.6.0/logs/yarn-hadoop-nodemanager-slave1.out [hadoop@master hadoop-2.6.0]$ jps 6721 ResourceManager 6987 Jps 6390 NameNode 2451 QuorumPeerMain 6579 SecondaryNameNode 4893 Elasticsearch [hadoop@master hadoop-2.6.0]$
[hadoop@slave1 elasticsearch-2.4.0]$ jps 5725 Elasticsearch 2296 QuorumPeerMain 6615 NodeManager 6529 DataNode 6683 Jps [hadoop@slave1 elasticsearch-2.4.0]$
[hadoop@slave2 elasticsearch-2.4.0]$ jps 6826 NodeManager 5407 Elasticsearch 7015 Jps 6748 DataNode 2229 QuorumPeerMain [hadoop@slave2 elasticsearch-2.4.0]$
[hadoop@master hadoop-2.6.0]$ cd $HBASE_HOME [hadoop@master hbase]$ bin/start-hbase.sh starting master, logging to /home/hadoop/app/hbase/logs/hbase-hadoop-master-master.out slave2: regionserver running as process 7175. Stop it first. slave1: starting regionserver, logging to /home/hadoop/app/hbase/bin/../logs/hbase-hadoop-regionserver-slave1.out [hadoop@master hbase]$ jps 6721 ResourceManager 7214 HMaster 6390 NameNode 2451 QuorumPeerMain 6579 SecondaryNameNode 4893 Elasticsearch 7327 Jps [hadoop@master hbase]$
[hadoop@slave1 hbase]$ jps 7210 Jps 7145 HRegionServer 5725 Elasticsearch 2296 QuorumPeerMain 6615 NodeManager 6529 DataNode 6969 HMaster [hadoop@slave1 hbase]$
[hadoop@slave2 hbase]$ jps 6826 NodeManager 5407 Elasticsearch 7470 Jps 7337 HMaster 6748 DataNode 7175 HRegionServer 2229 QuorumPeerMain [hadoop@slave2 hbase]$
打开进入hbase shell
[hadoop@master hbase]$ bin/hbase shell 2017-07-06 23:41:03,412 INFO [main] Configuration.deprecation: hadoop.native.lib is deprecated. Instead, use io.native.lib.available HBase Shell; enter 'help<RETURN>' for list of supported commands. Type "exit<RETURN>" to leave the HBase Shell Version 0.98.19-hadoop2, r1e527e73bc539a04ba0fa4ed3c0a82c7e9dd7d15, Fri Apr 22 19:07:24 PDT 2016 hbase(main):001:0>
查询一下有哪些库
hbase(main):001:0> list TABLE 2017-07-06 23:51:21,204 WARN [main] util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable SLF4J: Class path contains multiple SLF4J bindings. SLF4J: Found binding in [jar:file:/home/hadoop/app/hbase-0.98.19/lib/slf4j-log4j12-1.6.4.jar!/org/slf4j/impl/StaticLoggerBinder.class] SLF4J: Found binding in [jar:file:/home/hadoop/app/hadoop-2.6.0/share/hadoop/common/lib/slf4j-log4j12-1.7.5.jar!/org/slf4j/impl/StaticLoggerBinder.class] SLF4J: See http://www.slf4j.org/codes.html#multiple_bindings for an explanation. 0 row(s) in 266.1210 seconds => []
如果tvcount数据库已经存在的话可以删除掉
hbase(main):002:0> disable 'tvcount' ERROR: Table tvcount does not exist. Here is some help for this command: Start disable of named table: hbase> disable 't1' hbase> disable 'ns1:t1' hbase(main):003:0> drop 'tvcount' ERROR: Table tvcount does not exist. Here is some help for this command: Drop the named table. Table must first be disabled: hbase> drop 't1' hbase> drop 'ns1:t1' hbase(main):004:0> list TABLE 0 row(s) in 1.3770 seconds => [] hbase(main):005:0>
然后，启动mysql数据库，创建数据库创建表
本文转自大数据躺过的坑博客园博客，原文链接：http://www.cnblogs.com/zlslch/p/6474424.html，如需转载请自行联系原作者
