opensearch-docs-cn/_clients/python.md

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Python client

The OpenSearch Python client provides a more natural syntax for interacting with your cluster. Rather than sending HTTP requests with raw JSON bodies to a given URL, you can create an OpenSearch client for your cluster and call the client's built-in functions.

{% comment %} opensearch-py is the lower-level of the two Python clients. If you want a general client for assorted operations, it's a great choice. If you want a higher-level client strictly for indexing and search operations, consider opensearch-dsl-py. {% endcomment %}

Setup

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

pip install opensearch-py

Then import it like any other module:

from opensearchpy import OpenSearch

If you prefer to add the client manually or just want to examine the source code, see opensearch-py on GitHub.

Sample code

from opensearchpy import OpenSearch

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
)

# Create an index with non-default settings.
index_name = 'python-test-index'
index_body = {
  'settings': {
    'index': {
      'number_of_shards': 4
    }
  }
}

response = client.indices.create(index_name, body=index_body)
print('\nCreating index:')
print(response)

# Add a document to the index.
document = {
  'title': 'Moneyball',
  'director': 'Bennett Miller',
  'year': '2011'
}
id = '1'

response = client.index(
    index = index_name,
    body = document,
    id = id,
    refresh = True
)

print('\nAdding document:')
print(response)

# Search for the document.
q = 'miller'
query = {
  'size': 5,
  'query': {
    'multi_match': {
      'query': q,
      'fields': ['title^2', 'director']
    }
  }
}

response = client.search(
    body = query,
    index = index_name
)
print('\nSearch results:')
print(response)

# Delete the document.
response = client.delete(
    index = index_name,
    id = id
)

print('\nDeleting document:')
print(response)

# Delete the index.
response = client.indices.delete(
    index = index_name
)

print('\nDeleting index:')
print(response)