> ## Documentation Index
> Fetch the complete documentation index at: https://docs.unstructured.io/llms.txt
> Use this file to discover all available pages before exploring further.

# SQLite

Connect SQLite 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.

The requirements are as follows.

* A SQLite instance. [Download and install SQLite](https://www.sqlitetutorial.net/download-install-sqlite/).
* A SQLite database. [Create a database](https://www.sqlite.org/quickstart.html).
* The path to the database's `.db` file.
* A table in the database. [Create a table](https://www.sqlite.org/cli.html).

  The table's schema must match the schema of the documents that Unstructured produces.
  Unstructured cannot provide a schema that is guaranteed to work in all
  circumstances. This is because these schemas will vary based on your source files' types; how you
  want Unstructured to partition, chunk, and generate embeddings; any custom post-processing code that you run; and other factors.

  You can adapt the following table schema example for your own needs:

  ```sql SQLite theme={null}
  CREATE TABLE elements (
      id TEXT PRIMARY KEY,
      record_id TEXT,
      element_id TEXT,
      text TEXT,
      embeddings TEXT,
      parent_id TEXT,
      page_number INTEGER,
      is_continuation INTEGER,
      orig_elements TEXT,
      partitioner_type TEXT
  );
  ```

  See also:

  * [CREATE TABLE](https://www.sqlite.org/lang_createtable.html) for SQLite
  * [Unstructured document elements and metadata](/api-reference/legacy-api/partition/document-elements)

You might also need to install additional dependencies, depending on your needs. [Learn more](/open-source/ingestion/ingest-dependencies).

The following environment variables:

* `SQLITE_DB_PATH` - The path to the database's `.db` file, represented by `--database` (CLI) or `database` (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 for processing by default. To process data locally instead, see the instructions at the end of this page.

<CodeGroup>
  ```bash CLI theme={null}
  #!/usr/bin/env bash

  # Chunking and embedding are optional.

  unstructured-ingest \
    sqlite \
      --database-path $SQLITE_DB_PATH \
      --table-name elements \
      --id-column id \
      --download-dir $LOCAL_FILE_DOWNLOAD_DIR \
      --chunking-strategy by_title \
      --embedding-provider huggingface \
      --output-dir $LOCAL_FILE_OUTPUT_DIR \
      --partition-by-api \
      --api-key $UNSTRUCTURED_API_KEY \
      --partition-endpoint $UNSTRUCTURED_API_URL
  ```

  ```python Python Ingest theme={null}
  import os

  from unstructured_ingest.pipeline.pipeline import Pipeline
  from unstructured_ingest.interfaces import ProcessorConfig

  from unstructured_ingest.processes.connectors.sql.sqlite import (
      SQLiteIndexerConfig,
      SQLiteDownloaderConfig,
      SQLiteConnectionConfig,
      SQLiteAccessConfig
  )

  from unstructured_ingest.processes.partitioner import PartitionerConfig
  from unstructured_ingest.processes.chunker import ChunkerConfig
  from unstructured_ingest.processes.embedder import EmbedderConfig

  from unstructured_ingest.processes.connectors.local import (
      LocalConnectionConfig,
      LocalUploaderConfig
  )

  # Chunking and embedding are optional.

  if __name__ == "__main__":
      Pipeline.from_configs(
          context=ProcessorConfig(),
          indexer_config=SQLiteIndexerConfig(
              table_name="elements",
              id_column="id"
          ),
          downloader_config=SQLiteDownloaderConfig(download_dir=os.getenv("LOCAL_FILE_DOWNLOAD_DIR")),
          source_connection_config=SQLiteConnectionConfig(
              access_config=SQLiteAccessConfig(),
              database_path=os.getenv("SQLITE_DB_PATH")
          ),
          partitioner_config=PartitionerConfig(
              partition_by_api=True,
              api_key=os.getenv("UNSTRUCTURED_API_KEY"),
              partition_endpoint=os.getenv("UNSTRUCTURED_API_URL"),
              additional_partition_args={
                  "split_pdf_page": True,
                  "split_pdf_allow_failed": True,
                  "split_pdf_concurrency_level": 15
              }
          ),
          chunker_config=ChunkerConfig(chunking_strategy="by_title"),
          embedder_config=EmbedderConfig(embedding_provider="huggingface"),
          destination_connection_config=LocalConnectionConfig(),
          uploader_config=LocalUploaderConfig(output_dir=os.getenv("LOCAL_FILE_OUTPUT_DIR"))
      ).run()
  ```
</CodeGroup>

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) or `partition_by_api` (Python), or explicitly specify `partition_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) or `api_key=os.getenv("UNSTRUCTURED_API_KEY")` (Python)
  * `--partition-endpoint $UNSTRUCTURED_API_URL` (CLI) or `partition_endpoint=os.getenv("UNSTRUCTURED_API_URL")` (Python)
  * The environment variables `UNSTRUCTURED_API_KEY` and `UNSTRUCTURED_API_URL`

* To send files to the legacy [Unstructured Partition Endpoint](/api-reference/legacy-api/partition/overview) for processing, specify `--partition-by-api` (CLI) or `partition_by_api=True` (Python).

  Unstructured also requires an Unstructured API key and API URL, by adding the following:

  * `--api-key $UNSTRUCTURED_API_KEY` (CLI) or `api_key=os.getenv("UNSTRUCTURED_API_KEY")` (Python)
  * `--partition-endpoint $UNSTRUCTURED_API_URL` (CLI) or `partition_endpoint=os.getenv("UNSTRUCTURED_API_URL")` (Python)
  * The environment variables `UNSTRUCTURED_API_KEY` and `UNSTRUCTURED_API_URL`, representing your API key and API URL, respectively.

  <Note>
    You must specify the API URL only if you are not using the default API URL for Unstructured Ingest, which applies to **Let's Go**, **Pay-As-You-Go**, and **Business SaaS** accounts.

    The default API URL for Unstructured Ingest is `https://api.unstructuredapp.io/general/v0/general`, which is the API URL for the legacy[Unstructured Partition Endpoint](/api-reference/legacy-api/partition/overview). However, you should always use the URL that was provided to you when your Unstructured account was created. If you do not have this URL, email Unstructured Support at [support@unstructured.io](mailto:support@unstructured.io).

    If you do not have an API key, [get one now](/api-reference/legacy-api/partition/overview).

    If you are using a **Business** account, the process
    for generating Unstructured API keys, and the Unstructured API URL that you use, are different.
    For instructions, see your Unstructured account administrator, or email Unstructured Support at [support@unstructured.io](mailto:support@unstructured.io).
  </Note>