SingleStore
Connect SingleStore to your preprocessing pipeline, and use the Unstructured Ingest CLI or the Unstructured Ingest Python library to batch process all your documents and store structured outputs locally on your filesystem.
You will need:
The SingleStore prerequisites:
- A SingleStore deployment, database, and table. Learn how.
- The hostname for the SingleStore deployment.
- The port for the host.
- The username for the deployment.
- The password for the user.
- The name of the database in the deployment.
- The name of the table in the database.
To get the values for the hostname, port, username, and password:
- In your SingleStore account’s dashboard sidebar, click Deployments.
- From the drop-down list at the top of the Deployments page, select your deployment.
- On the Overview tab, in the Compute area, in the Connect drop-down list for your deployment, select Your App.
- If a Create User dialog box appears, note the User name and Password values.
- In the Connect to Workspace pane’s Your App tab, note the string in the following format:
<user-name>
is the username.<password>
is the user’s password.<host>
is the workspace’s hostname.<post>
is the host’s port.
To get the values for the database and table names:
- In your SingleStore dashboard’s sidebar, click Deployments.
- From the drop-down list at the top of the Deployments page, select your deployment.
- On the Databases tab, note Name of your database.
- Click the database and, on the Tables tab, note the name of your table.
The SingleStore connector dependencies:
You might also need to install additional dependencies, depending on your needs. Learn more.
These environment variables:
SINGLESTORE_HOST
- The hostname for the SingleStore deployment, represented by--host
(CLI) orhost
(Python).SINGLESTORE_PORT
- The port for the host, represented by--port
(CLI) orport
(Python).SINGLESTORE_USER
- The username for the deployment, represented by--user
(CLI) oruser
(Python).SINGLESTORE_PASSWORD
- The password for the user, represented by--password
(CLI) orpassword
(Python).SINGLESTORE_DB
- The name of the database in the deployment, represented by--database
(CLI) ordatabase
(Python).SINGLESTORE_TABLE
- The name of the table in the database, represented by--table-name
(CLI) ortable_name
(Python).
Now call the Unstructured Ingest CLI or the Unstructured Ingest Python library. The destination connector can be any of the ones supported. This example uses the local destination connector.
This example sends data to Unstructured API services for processing by default. To process data locally instead, see the instructions at the end of this page.
For the Unstructured Ingest CLI and the Unstructured Ingest Python library, you can use the --partition-by-api
option (CLI) or partition_by_api
(Python) parameter to specify where files are processed:
-
To do local file processing, omit
--partition-by-api
(CLI) orpartition_by_api
(Python), or explicitly specifypartition_by_api=False
(Python).Local file processing does not use an Unstructured API key or API URL, so you can also omit the following, if they appear:
--api-key $UNSTRUCTURED_API_KEY
(CLI) orapi_key=os.getenv("UNSTRUCTURED_API_KEY")
(Python)--partition-endpoint $UNSTRUCTURED_API_URL
(CLI) orpartition_endpoint=os.getenv("UNSTRUCTURED_API_URL")
(Python)- The environment variables
UNSTRUCTURED_API_KEY
andUNSTRUCTURED_API_URL
-
To send files to Unstructured API services for processing, specify
--partition-by-api
(CLI) orpartition_by_api=True
(Python).Unstructured API services also requires an Unstructured API key and API URL, by adding the following:
--api-key $UNSTRUCTURED_API_KEY
(CLI) orapi_key=os.getenv("UNSTRUCTURED_API_KEY")
(Python)--partition-endpoint $UNSTRUCTURED_API_URL
(CLI) orpartition_endpoint=os.getenv("UNSTRUCTURED_API_URL")
(Python)- The environment variables
UNSTRUCTURED_API_KEY
andUNSTRUCTURED_API_URL
, representing your API key and API URL, respectively.
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