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68 lines
2.5 KiB
ReStructuredText
68 lines
2.5 KiB
ReStructuredText
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Delta Table
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==========
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Batch process all your records using ``unstructured-ingest`` to store structured outputs locally on your filesystem and upload those local files to a Delta Table.
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First you'll need to install the delta table dependencies as shown here.
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.. code:: shell
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pip install "unstructured[delta-table]"
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Run Locally
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-----------
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The upstream connector can be any of the ones supported, but for convenience here, showing a sample command using the
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upstream delta-table connector. This will create a new table on your local and will raise an error if that table already exists.
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.. tabs::
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.. tab:: Shell
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.. code:: shell
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unstructured-ingest \
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delta-table \
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--table-uri s3://utic-dev-tech-fixtures/sample-delta-lake-data/deltatable/ \
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--output-dir delta-table-example \
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--storage_options "AWS_REGION=us-east-2,AWS_ACCESS_KEY_ID=$AWS_ACCESS_KEY_ID,AWS_SECRET_ACCESS_KEY=$AWS_SECRET_ACCESS_KEY" \
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--verbose
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delta-table \
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--write-column json_data \
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--table-uri delta-table-dest
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.. tab:: Python
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.. code:: python
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import subprocess
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command = [
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"unstructured-ingest",
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"delta-table",
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"--table-uri", "s3://utic-dev-tech-fixtures/sample-delta-lake-data/deltatable/",
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"--download-dir", "delta-table-ingest-download",
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"--output-dir", "delta-table-example",
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"--preserve-downloads",
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"--storage_options", "AWS_REGION=us-east-2,AWS_ACCESS_KEY_ID=$AWS_ACCESS_KEY_ID,AWS_SECRET_ACCESS_KEY=$AWS_SECRET_ACCESS_KEY",
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"--verbose",
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"delta-table"
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"--write-column json_data"
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"--table-uri delta-table-dest"
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]
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# Run the command
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process = subprocess.Popen(command, stdout=subprocess.PIPE)
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output, error = process.communicate()
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# Print output
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if process.returncode == 0:
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print('Command executed successfully. Output:')
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print(output.decode())
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else:
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print('Command failed. Error:')
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print(error.decode())
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For a full list of the options the CLI accepts check ``unstructured-ingest <upstream connector> delta-table --help``.
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NOTE: Keep in mind that you will need to have all the appropriate extras and dependencies for the file types of the documents contained in your data storage platform if you're running this locally. You can find more information about this in the `installation guide <https://unstructured-io.github.io/unstructured/installing.html>`_.
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