Using Python to Operate Elasticsearch

To operate the Elasticsearch database using Python, we need to install the Elasticsearch Python client library. The most commonly used library is "Elasticsearch", which provides all the functions required to interact with Elasticsearch. The following are the steps to use Python to operate the Elasticsearch database: 1. Install Elasticsearch Python client library Use the following command from the command line to install the 'Elasticsearch' library: pip install elasticsearch 2. Connect to the Elasticsearch database Connect to the Elasticsearch database using the following code: python from elasticsearch import Elasticsearch #Create Elasticsearch client instance es = Elasticsearch([{'host': 'localhost', 'port': 9200}]) This will create an Elasticsearch client instance that connects to the default port 9200 of the local host. 3. Data insertion Insert the data into the Elasticsearch database using the following code: python #Define the document to be inserted doc = { 'title': 'Example Document', 'content': 'This is an example document.' } #Insert a document in the index named 'my_index' res = es.index(index='my_index', doc_type='my_type', body=doc) print(res) This will insert a document into the index named 'my_index'. 4. Query Data Use the following code to query the Elasticsearch database: python #Set query criteria query = { 'query': { 'match': { 'title': 'example' } } } #Execute a query in the index named 'my_index' res = es.search(index='my_index', body=query) print(res) This will execute a query in the index named 'my_index' and return results that match the query criteria. 5. Modify data Use the following code to modify the data in the Elasticsearch database: python #Set the document content to be modified doc = { 'doc': { 'content': 'This is an updated example document.' } } #Perform partial updates in the index named 'my_index' using the document ID res = es.update(index='my_index', doc_type='my_type', id='1', body=doc) print(res) This will perform a partial update in the index named 'my_index' using the document ID. 6. Delete data Use the following code to delete data from the Elasticsearch database: python #Delete a document using document ID res = es.delete(index='my_index', doc_type='my_type', id='1') print(res) This will delete a document from the index named 'my_index' using the document ID. This is a complete Python code example that demonstrates how to connect to an Elasticsearch database and perform insert, query, modify, and delete operations: python from elasticsearch import Elasticsearch #Create Elasticsearch client instance es = Elasticsearch([{'host': 'localhost', 'port': 9200}]) #Define the document to be inserted doc = { 'title': 'Example Document', 'content': 'This is an example document.' } #Insert a document in the index named 'my_index' res = es.index(index='my_index', doc_type='my_type', body=doc) print(res) #Set query criteria query = { 'query': { 'match': { 'title': 'example' } } } #Execute a query in the index named 'my_index' res = es.search(index='my_index', body=query) print(res) #Set the document content to be modified updated_doc = { 'doc': { 'content': 'This is an updated example document.' } } #Perform partial updates in the index named 'my_index' using the document ID res = es.update(index='my_index', doc_type='my_type', id='1', body=updated_doc) print(res) #Delete a document using document ID res = es.delete(index='my_index', doc_type='my_type', id='1') print(res) The above example demonstrates how to use Python to operate Elasticsearch database connections and perform common operations, including data insertion, querying, modification, and deletion. Please make corresponding modifications according to your actual needs.