Basic Update Example¶
This sample updates a document to an Elasticsearch server via the Elasticsearch
Update
API. The sample then retrieves the contents of the updated document
via a call to the Elasticsearch Get
API. The sample displays the results of
the Update
and Get
calls.
For more information on the Elasticsearch Update
API, see the
Elasticsearch Python Update API
and Elasticsearch REST Update API
documentation.
Prerequisites¶
The samples configuration step has been completed (see Samples Configuration).
The Elasticsearch API DXL service is running (see Elasticsearch DXL Service).
In order to enable the use of the
update
andget
APIs, both API names need to be listed in theapiNames
setting under the[General]
section in the "dxlelasticsearchservice.config" file that the service uses:[General] apiNames=update,get,...
For more information on the configuration, see the Elasticsearch DXL Python Service configuration documentation.
Run through the steps in the Basic Index Example to store a document to Elasticsearch. This example will update the stored document.
Running¶
To run this sample execute the sample/basic/basic_update_example.py
script
as follows:
python sample/basic/basic_update_example.py
If the document was previously stored via running the Basic Index Example, the output should appear similar to the following:
Response from update: { "_id": "12345", "_index": "opendxl-elasticsearch-client-examples", "_shards": { "failed": 0, "successful": 2, "total": 2 }, "_type": "basic-example-doc", "_version": 2, "result": "updated" } Response from get: { "_id": "12345", "_index": "opendxl-elasticsearch-client-examples", "_source": { "message": "Hello from OpenDXL", "source": "Basic Update Example" }, "_type": "basic-example-doc", "_version": 2, "found": true }
If the document to be updated does not exist on the Elasticsearch server at the time the sample is run, the output should appear similar to the following:
Requested document was not found on the server
Details¶
The majority of the sample code is shown below:
# Create the client with DxlClient(config) as dxl_client: # Connect to the fabric dxl_client.connect() logger.info("Connected to DXL fabric.") # Create client wrapper client = ElasticsearchClient(dxl_client) try: # Invoke the update method resp_dict = client.update( index=DOCUMENT_INDEX, doc_type=DOCUMENT_TYPE, id=DOCUMENT_ID, body={"doc": {"source": "Basic Update Example"}}) except NotFoundError: print("Requested document was not found on the server") sys.exit(1) # Print out the response (convert dictionary to JSON for pretty printing) print("Response from update:\n{0}".format( MessageUtils.dict_to_json(resp_dict, pretty_print=True))) # Invoke the get method resp_dict = client.get( index=DOCUMENT_INDEX, doc_type=DOCUMENT_TYPE, id=DOCUMENT_ID) print("Response from get:\n{0}".format( MessageUtils.dict_to_json(resp_dict, pretty_print=True)))
Once a connection is established to the DXL fabric, a
dxlelasticsearchclient.client.ElasticsearchClient
instance is created
which will be used to invoke remote commands on the Elasticsearch DXL service.
Next, the dxlelasticsearchclient.client.ElasticsearchClient.update()
method is invoked with the index
, type (doc_type
), and id
of the
document to update. The call also includes a dict
representing the portion
of the document body
to update.
From the Elasticsearch Python Update API documentation:
"Update a document based on a script or partial data provided."
If the document to be updated does not exist on the Elasticsearch server at the
time the sample is run, the update
method will raise an
elasticsearch.exceptions.NotFoundError
exception. In this case, the
sample catches the exception, displays an error message, and exits.
If the document to be updated does exist on the Elasticsearch server at the
time the sample is run, the next step is to display the contents of the
returned dictionary (dict
) which contains the results of the attempt to
update the document.
To confirm that the document was updated properly, the
dxlelasticsearchclient.client.ElasticsearchClient.get()
method is invoked
to retrieve the information updated for the document. The method is invoked with
the same index
, type (doc_type
), and id
of the document used in the
prior call to the update
method.
From the Elasticsearch Python Get API documentation:
"Get a typed JSON document from the index based on its id."
The final step is to display the contents of the returned dictionary (dict
)
which contains information for the updated document.