129 lines
3.0 KiB
Markdown
129 lines
3.0 KiB
Markdown
---
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layout: default
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title: Python client
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nav_order: 70
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---
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# Python client
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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.
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{% comment %}
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`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]({{site.url}}{{site.baseurl}}/clients/python-dsl/).
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{% endcomment %}
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## Setup
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To add the client to your project, install it using [pip](https://pip.pypa.io/):
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```bash
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pip install opensearch-py
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```
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Then import it like any other module:
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```python
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from opensearchpy import OpenSearch
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```
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If you prefer to add the client manually or just want to examine the source code, see [opensearch-py on GitHub](https://github.com/opensearch-project/opensearch-py).
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## Sample code
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```python
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from opensearchpy import OpenSearch
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host = 'localhost'
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port = 9200
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auth = ('admin', 'admin') # For testing only. Don't store credentials in code.
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ca_certs_path = '/full/path/to/root-ca.pem' # Provide a CA bundle if you use intermediate CAs with your root CA.
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# Optional client certificates if you don't want to use HTTP basic authentication.
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# client_cert_path = '/full/path/to/client.pem'
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# client_key_path = '/full/path/to/client-key.pem'
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# Create the client with SSL/TLS enabled, but hostname verification disabled.
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client = OpenSearch(
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hosts = [{'host': host, 'port': port}],
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http_compress = True, # enables gzip compression for request bodies
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http_auth = auth,
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# client_cert = client_cert_path,
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# client_key = client_key_path,
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use_ssl = True,
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verify_certs = True,
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ssl_assert_hostname = False,
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ssl_show_warn = False,
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ca_certs = ca_certs_path
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)
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# Create an index with non-default settings.
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index_name = 'python-test-index'
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index_body = {
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'settings': {
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'index': {
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'number_of_shards': 4
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}
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}
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}
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response = client.indices.create(index_name, body=index_body)
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print('\nCreating index:')
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print(response)
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# Add a document to the index.
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document = {
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'title': 'Moneyball',
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'director': 'Bennett Miller',
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'year': '2011'
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}
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id = '1'
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response = client.index(
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index = index_name,
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body = document,
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id = id,
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refresh = True
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)
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print('\nAdding document:')
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print(response)
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# Search for the document.
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q = 'miller'
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query = {
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'size': 5,
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'query': {
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'multi_match': {
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'query': q,
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'fields': ['title^2', 'director']
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}
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}
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}
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response = client.search(
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body = query,
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index = index_name
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)
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print('\nSearch results:')
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print(response)
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# Delete the document.
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response = client.delete(
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index = index_name,
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id = id
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)
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print('\nDeleting document:')
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print(response)
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# Delete the index.
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response = client.indices.delete(
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index = index_name
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)
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print('\nDeleting index:')
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print(response)
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```
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