This guide shows you how to install the Elasticsearch Python client and perform basic operations like indexing or searching documents.



To install the client, run the following command:

$ python -m pip install elasticsearch


You can connect to Elastic Cloud using an API key and the Cloud ID.

from elasticsearch import Elasticsearch

client = Elasticsearch(cloud_id="YOUR_CLOUD_ID", api_key="YOUR_API_KEY")

Your Cloud ID can be found on the My deployment page of your deployment under Cloud ID.

You can generate an API key on the Management page under Security.


Confirm that the connection was successful.


Using the client

Time to use Elasticsearch! This section walks you through the most important operations of Elasticsearch. The following examples assume that the Python client was instantiated as above.

Create an index with mappings

This is how you create the my_index index. Optionally, you can first define the expected types of your features with a custom mapping.

mappings = {
    "properties": {
        "foo": {"type": "text"},
        "bar": {
            "type": "text",
            "fields": {
                "keyword": {
                    "type": "keyword",
                    "ignore_above": 256,

client.indices.create(index="my_index", mappings=mappings)

Indexing documents

This indexes a document with the index API:

        "foo": "foo",
        "bar": "bar",

You can also index multiple documents at once with the bulk helper function:

from elasticsearch import helpers

def generate_docs():
    for i in range(10):
        yield {
            "_index": "my_index",
            "foo": f"foo {i}",
            "bar": "bar",

helpers.bulk(client, generate_docs())

These helpers are the recommended way to perform bulk ingestion. While it is also possible to perform bulk ingestion using client.bulk directly, the helpers handle retries, ingesting chunk by chunk and more. See the Helpers page for more details.

Getting documents

You can get documents by using the following code:

client.get(index="my_index", id="my_document_id")

Searching documents

This is how you can create a single match query with the Python client:

client.search(index="my_index", query={"match": {"foo": {"query": "foo"}}})

Updating documents

This is how you can update a document, for example to add a new field:

        "foo": "bar",
        "new_field": "new value",

Deleting documents

client.delete(index="my_index", id="my_document_id")

Deleting an index