Elasticsearch API Use Method Memo (Python)

Mounting module

Pip Install Elasticsearch

Create a connection

From Elasticsearch import Elasticsearch ES = Elasticsearch ([' 192.168.1.1:9200 '])

Multi-node

ES = Elasticsearch ([' 192.168.1.1:9200 ', ' 192.168.1.2:9200 '])

SSL-enabled connections

ES = Elasticsearch ( [' localhost:443 ', ' other_host:443 '], # Turn on SSL Use_ssl=true, # Make sure we verify SSL certificates (off by default) Verify_certs=true, # provide a path to CA certs on disk ca_certs= '/path/to/ca_certs ' )

 

Create an index

es.Indices.Create(Index=' Test_index ', Ignore= -) Es.indices.delete (index= ' Test_index ', ignore=[400, 404])

Ignore can ignore the exception, whose value is the return code of the exception that needs to be ignored, and a common 400 indicates that the index already exists and 404 indicates that the index was not found.

To create an index using a custom map:

mapping = { "Mappings": { "Test_type": { "Properties": { ' Name ': { ' Type ': ' String ', "Index": "Not_analyzed" }, "Phone": { ' Type ': ' String ', "Index": "Not_analyzed" } } } } } Es.indices.create (index= ' Test_index ', ignore=400,body=mapping)

To view the mapping of an index:

Es.indices.get_mapping ("Test_index")

Write Data

Insert an article:

Es.index (index= ' Test_index ', doc_type= ' Test_type ', body={"key": "Value"})

Bulk write:

Doc = [ {"index": {}}, {' name ': ' Jack ', ' phone ': ' 123456 '}, {"index": {}}, {' name ': ' Joe ', ' phone ': ' 321456 '}, {"index": {}}, {' name ': ' Nicole ', ' phone ': ' 654321 '}, {"index": {}}, {' name ': ' Lucy ', ' phone ': ' 456123 '}, ] Es.bulk (index= ' Test_index ', doc_type= ' Test_type ', Body=doc)

Delete data

Delete a piece of data by ID

Es.delete (index= "Test_index", doc_type= "Test_type", id= "ZTG5IGMBXTPLS9YLVHBZ")

Delete data based on query criteria:

BODY = { "Query": { "Match": { "Name": "Joe" } } } Es.delete_by_query (index= ' Test_index ', doc_type= ' Test_type ', body=body)

Inquire

Querying all data

BODY = { "Query": { "Match_all": {} } } Es.search (index= "Test_index", doc_type= "Test_type", Body=body)

Or

Es.search (index= "Test_index", doc_type= "Test_type")

Exactly match term:

#搜索name字段为Nicole的数据 BODY = { "Query": { "term": { "Name": "Nicole" } } } Es.search (index= "Test_index", doc_type= "Test_type", Body=body)

Keyword matches match:

#搜索name字段包含Nicole关键字的数据 Body = {       "query": {              "Match": {                  "name":   "Nicole"                       } } Es.search (index= "Test_index", doc_type= "Test_type", Body=body)

BOOL Union query,BOOL has 3 Types of query relationships,must ( all satisfied ), should ( One satisfies ), Must_not ( Neither satisfied )

#搜索name为Nicole并且phone为123456的数据 BODY = { "Query": { "BOOL": { "Must": [ { "term": { "Name": "Nicole" } }, { "term": { "Phone": "123456" } } ] } } } Es.search (index= "Test_index", doc_type= "Test_type", Body=body)

Elasticsearch API Use Method Memo (Python)