Cloud computing platform (retrieval)-elasticsearch-Configuration

After elasticsearch is installed, We need to configure a series of elasticsearch configurations as follows:

 

Cluster. Name: rmscloud

Cluster name

 

Node. Name: "rcnode21"

Node name

 

Node. Tag: "tag21"

Node label

 

Node. Data: True

Whether the node stores data

 

Index. number_of_shards: 5

Number of index shards

 

Index. number_of_replicas: 1

Number of index copies

 

Path. Data:/data/elasticsearch/Data

Data directory storage location

 

Path. logs:/data/elasticsearch/log

Log Data storage location

Bootstrap. mlockall: True

Memory

 

Index. cache. Field. max_size: 500000

Index Cache

 

Index. cache. Field. expire: 5 m

Index slow start expiration time

 

You do not need to call other configurations. For details, refer to the appendix. In addition, you need to configure word segmentation as follows:

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"

 

 

After configuring the config, you also need to configure elastichsearch under the bin directory. Here, we mainly control some JVM parameters.

Es_min_mem = 27G

Es_max_mem = 27G

You can adjust the maximum memory and Minimum Memory of the JVM. For other JVM parameters, see the appendix.