High-level Python client

The OpenSearch high-level Python client (opensearch-dsl-py) provides wrapper classes for common OpenSearch entities, like documents, so you can work with them as Python objects. Additionally, the high-level client simplifies writing queries and supplies convenient Python methods for common OpenSearch operations. The high-level Python client supports creating and indexing documents, searching with and without filters, and updating documents using queries.

This getting started guide illustrates how to connect to OpenSearch, index documents, and run queries. For the client source code, see the opensearch-dsl-py repo.

To add the client to your project, install it using pip:

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After installing the client, you can import it like any other module:

from opensearchpy import OpenSearch
from opensearch_dsl import Search

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Connecting to OpenSearch

To connect to the default OpenSearch host, create a client object with SSL enabled if you are using the Security plugin. You can use the default credentials for testing purposes:

host = 'localhost'
port = 9200
auth = ('admin', 'admin') # For testing only. Don't store credentials in code.
ca_certs_path = '/full/path/to/root-ca.pem' # Provide a CA bundle if you use intermediate CAs with your root CA.
# Create the client with SSL/TLS enabled, but hostname verification disabled.
client = OpenSearch(
    hosts = [{'host': host, 'port': port}],
    http_compress = True, # enables gzip compression for request bodies
    http_auth = auth,
    use_ssl = True,
    verify_certs = True,
    ssl_assert_hostname = False,
    ssl_show_warn = False,
    ca_certs = ca_certs_path
)

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If you have your own client certificates, specify them in the client_cert_path and client_key_path parameters:

host = 'localhost'
port = 9200
auth = ('admin', 'admin') # For testing only. Don't store credentials in code.
ca_certs_path = '/full/path/to/root-ca.pem' # Provide a CA bundle if you use intermediate CAs with your root CA.
# Optional client certificates if you don't want to use HTTP basic authentication.
client_cert_path = '/full/path/to/client.pem'
client_key_path = '/full/path/to/client-key.pem'
# Create the client with SSL/TLS enabled, but hostname verification disabled.
client = OpenSearch(
    hosts = [{'host': host, 'port': port}],
    http_compress = True, # enables gzip compression for request bodies
    http_auth = auth,
    client_cert = client_cert_path,
    client_key = client_key_path,
    use_ssl = True,
    verify_certs = True,
    ssl_assert_hostname = False,
    ssl_show_warn = False,
    ca_certs = ca_certs_path
)

If you are not using the Security plugin, create a client object with SSL disabled:

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Creating an index

To create an OpenSearch index, use the client.indices.create() method. You can use the following code to construct a JSON object with custom settings:

index_name = 'my-dsl-index'
index_body = {
  'settings': {
    'index': {
      'number_of_shards': 4
    }
  }
}
response = client.indices.create(index_name, body=index_body)

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You can create a class to represent the documents that you’ll index in OpenSearch by extending the Document class:

    title = Text(fields={'raw': Keyword()})
    director = Text()
    year = Text()
    class Index:
        name = index_name
    def save(self, ** kwargs):
        return super(Movie, self).save(** kwargs)

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To index a document, create an object of the new class and call its save() method:

# Set up the opensearch-py version of the document
Movie.init(using=client)
doc = Movie(meta={'id': 1}, title='Moneyball', director='Bennett Miller', year='2011')
response = doc.save(using=client)

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Performing bulk operations

You can perform several operations at the same time by using the bulk() method of the client. The operations may be of the same type or of different types. Note that the operations must be separated by a \n and the entire string must be a single line:

Searching for documents

You can use the Search class to construct a query. The following code creates a Boolean query with a filter:

s = Search(using=client, index=index_name) \
    .filter("term", year="2011") \
    .query("match", title="Moneyball")
response = s.execute()

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The preceding query is equivalent to the following query in OpenSearch domain-specific language (DSL):

GET my-dsl-index/_search 
{
  "query": {
    "bool": {
      "must": {
        "match": {
          "title": "Moneyball"
        }
      },
      "filter": {
        "term" : {
          "year": 2011
        }
      }
    }
  }
}

You can delete a document using the client.delete() method:

response = client.delete(
    index = 'my-dsl-index',
    id = '1'
)

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Deleting an index

You can delete an index using the client.indices.delete() method:

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Sample program

The following sample program creates a client, adds an index with non-default settings, inserts a document, performs bulk operations, searches for the document, deletes the document, and then deletes the index:

from opensearchpy import OpenSearch
from opensearch_dsl import Search, Document, Text, Keyword
host = 'localhost'
port = 9200
auth = ('admin', 'admin')  # For testing only. Don't store credentials in code.
ca_certs_path = 'root-ca.pem'
# Create the client with SSL/TLS enabled, but hostname verification disabled.
client = OpenSearch(
    hosts=[{'host': host, 'port': port}],
    http_compress=True,  # enables gzip compression for request bodies
    # http_auth=auth,
    use_ssl=False,
    verify_certs=False,
    ssl_assert_hostname=False,
    ssl_show_warn=False,
    # ca_certs=ca_certs_path
index_body = {
  'settings': {
    'index': {
      'number_of_shards': 4
    }
  }
}
response = client.indices.create(index_name, index_body)
print('\nCreating index:')
print(response)
# Create the structure of the document
class Movie(Document):
    title = Text(fields={'raw': Keyword()})
    director = Text()
    year = Text()
    class Index:
        name = index_name
    def save(self, ** kwargs):
        return super(Movie, self).save(** kwargs)
# Set up the opensearch-py version of the document
Movie.init(using=client)
doc = Movie(meta={'id': 1}, title='Moneyball', director='Bennett Miller', year='2011')
response = doc.save(using=client)
print('\nAdding document:')
print(response)
# Perform bulk operations
movies = '{ "index" : { "_index" : "my-dsl-index", "_id" : "2" } } \n { "title" : "Interstellar", "director" : "Christopher Nolan", "year" : "2014"} \n { "create" : { "_index" : "my-dsl-index", "_id" : "3" } } \n { "title" : "Star Trek Beyond", "director" : "Justin Lin", "year" : "2015"} \n { "update" : {"_id" : "3", "_index" : "my-dsl-index" } } \n { "doc" : {"year" : "2016"} }'
client.bulk(movies)
# Search for the document.
s = Search(using=client, index=index_name) \
    .filter('term', year='2011') \
    .query('match', title='Moneyball')
response = s.execute()
print('\nSearch results:')
for hit in response:
    print(hit.meta.score, hit.title)
# Delete the document.
print('\nDeleting document:')
print(response)
# Delete the index.
response = client.indices.delete(
    index = index_name
)
print(response)

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