云计算平台(检索篇)-Elasticsearch-配置篇

ElasticSearch安装好后我们需要对ElasticSearch的Config进行一系列配置,具体如下:
 
集群名称 
cluster.name: rmscloud
节点名称
node.name: "rcnode21"
节点标签
node.tag: "tag21"
节点是否存储数据
node.data: true
索引分片数
index.number_of_shards: 5
索引副本数
index.number_of_replicas: 1
数据目录存放位置
path.data: /data/elasticsearch/data
日志数据存放位置
path.logs: /data/elasticsearch/log
内存
bootstrap.mlockall: true
索引缓存
index.cache.field.max_size: 500000
索引缓引过期时间
index.cache.field.expire: 5m
 
其它配置基本上不用调，具体可参考附录。另外需要的调配置是分词具体例子如下：
index:
analysis:
tokenizer:
my_pinyin:
type: pinyin
first_letter: "prefix"
padding_char: ""
pinyin_first_letter:
type: pinyin
first_letter: "only"
mmseg_maxword:
type: mmseg
seg_type: "max_word"
mmseg_complex:
type: mmseg
seg_type: "complex"
mmseg_simple:
type: mmseg
seg_type: "simple"
semicolon_spliter:
type: pattern
pattern: ";"
pct_spliter:
type: "pattern"
pattern: "[%]+"

filter:
ngram_min_2:
max_gram: 10
min_gram: 2
type: nGram
ngram_min_1:
max_gram: 10
min_gram: 1
type: nGram
min2_length:
min: 2
max: 4
type: length

analyzer:
lowercase_keyword:
type: custom
filter: [standard,lowercase]
tokenizer: standard
lowercase_keyword_ngram_min_size1:
type: custom
filter: [ngram_min_1,standard,lowercase]
tokenizer: nGram
lowercase_keyword_ngram_min_size2:
type: custom
filter: [ngram_min_2,standard,lowercase,min2_length,stop]
tokenizer: nGram
lowercase_keyword_ngram:
type: custom
filter: [ngram_min_1,standard,lowercase]
tokenizer: nGram
lowercase_keyword_without_standard:
type: custom
filter: [lowercase]
tokenizer: keyword
lowercase_whitespace:
type: custom
filter: [lowercase]
tokenizer: whitespace
ik:
alias: [ik_analyzer]
type: org.elasticsearch.index.analysis.IkAnalyzerProvider
ike:
alias: [ike_analyzer]
type: org.elastichsearch.ik.index.IkAnalyzerProvider
usermode: true
mmseg:
alias: [mmseg_analyzer]
type: org.elasticsearch.index.analysis.MMsegAnalyzerProvider
comma_spliter:
type: "pattern"
pattern: "[,|\\s]+"
pct_spliter:
type: "pattern"
pattern: "[%]+"
custom_snowball_analyzer:
type: "snowball"
language: "English"
simple_english_analyzer:
type: "custome"
tokenizer: whitespace
filter: [standard,lowercase,snowball]
edge_ngram:
type: custom
tokenizer: edgeNGram
filter: [lowercase]
pinyin_ngram_analyzer:
type: custom
tokenizer: my_pinyin
filter: [standard,lowercase,nGram]
pinyin_first_letter_analyzer:
type: custom
tokenizer: pinyin_first_letter
filter: [standard,lowercase]
custom_auth_en_analyzer:
type: custom
tokenizer: semicolon_spliter
filter: [standard,snowball,lowercase,trim]

index.analysis.analyzer.default.type :"keyword"
 
进行完Config的配置后还需要对bin目录下面的elastichsearch进行配置，此处主要是控制JVM的一些参数
ES_MIN_MEM=27G
ES_MAX_MEM=27G
调整JVM的最大内存和最小内存就可以了,其它JVM参数见附录。