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Refurbish IO documentation (#698)
* IO: Update change log * Project: Rename package extras `all -> full`, `io-ingestr -> io-ingest` * IO documentation: Refurbish introduction and guidance * Project: Rename package extras `io-all -> io-curated` * IO documentation: New layout based on groups Discriminate I/O adapters: - Files - Databases - Streams - Services - Open Table Formats * IO documentation: This and that * IO documentation: Dissolve "ingestr" page * Chore: Format `pyproject.toml` * IO documentation: Add dedicated page about Kinesis * IO: Use ingestr for loading data from Amazon Kinesis * IO: Propagate `start_date` parameter to ingestr's `interval_start` * IO documentation: Add dedicated page about Kafka * IO: Start propagating `batch_size` parameter to ingestr's `page_size` * IO documentation: Add subsection about data warehouses * IO documentation: Copy editing * IO documentation: Generalize CrateDB connection options * IO documentation: Add dedicated page about SAP HANA * IO documentation: Improve page about open table formats * IO documentation: Add page about Elasticsearch * IO documentation: Generalize CrateDB connection options * IO misc: Implement suggestions by CodeRabbit * IO documentation: Implement suggestions by CodeRabbit * IO documentation: Add page about MotherDuck * IO documentation: Copy editing * IO documentation: Enumerate more data warehouses, databases and services * IO documentation: Add logo icons across the board * IO documentation: Fix and improve cross references * IO documentation: Harmonize document titles * IO documentation: Relocate page about InfluxDB * IO documentation: Implement suggestions by CodeRabbit * IO documentation: Implement suggestions by CodeRabbit * CI: Fix integration tests with MongoDB for the CrateDB Cloud matrix slot
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.github/workflows/cratedb-cloud.yml

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@@ -68,6 +68,13 @@ jobs:
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# Install package in editable mode.
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uv pip install --editable='.[full,test,develop]'
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# MongoDB integration tests fail here. Why?
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# pymongo.errors.ServerSelectionTimeoutError: localhost:32772:
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# [Errno 111] Connection refused (configured timeouts: socketTimeoutMS: 5000.0ms,
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# connectTimeoutMS: 5000.0ms), Timeout: 5.0s
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# https://github.com/crate/cratedb-toolkit/actions/runs/23055232713/job/66966725093#step:6:820
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uv pip uninstall pymongo
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- name: Run linter and software tests
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env:
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KAGGLE_USERNAME: ${{ secrets.KAGGLE_USERNAME }}

.github/workflows/postgresql.yml

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@@ -97,7 +97,7 @@ jobs:
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run: |
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# Install package in editable mode.
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uv pip install --prerelease=allow --editable='.[io-ingestr,test]'
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uv pip install --prerelease=allow --editable='.[io-ingest,test]'
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- name: Run software tests
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run: |

CHANGES.md

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# Changelog
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## Unreleased
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- I/O: Refactored `ctk.io` subsystem
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- I/O: Refurbished documentation of the [I/O subsystem]
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- I/O: Started using ingestr for loading data from Amazon Kinesis
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- I/O: Started propagating `start_date` parameter to ingestr's `interval_start`
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- I/O: Started propagating `batch_size` parameter to ingestr's `page_size`
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- Packaging: Renamed extras `all``full`, `io-ingestr``io-ingest`, and `io-all``io-curated`
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[I/O subsystem]: https://cratedb-toolkit.readthedocs.io/io/
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## 2026/03/04 v0.0.44
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- I/O: Added adapter for Apache Iceberg tables

cratedb_toolkit/io/exception.py

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class SkipAdapterException(Exception):
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pass

cratedb_toolkit/io/ingestr/api.py

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@@ -75,7 +75,19 @@ def ingestr_copy(source_url: str, target_address: DatabaseAddress, progress: boo
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source_url_obj = URL(source_url)
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source_table = source_url_obj.query.get("table")
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source_fragment = source_url_obj.fragment
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source_url_obj = source_url_obj.without_query_params("table").with_fragment("")
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batch_size_raw = source_url_obj.query.get("batch_size")
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batch_size = None
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if batch_size_raw is not None:
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try:
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batch_size = int(batch_size_raw)
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except ValueError as ex:
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raise ValueError("`batch_size` must be an integer") from ex
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if batch_size <= 0:
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raise ValueError("`batch_size` must be greater than 0")
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start_date = source_url_obj.query.get("start_date")
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source_url_obj = source_url_obj.without_query_params("table", "start_date", "batch_size").with_fragment("")
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target_uri, target_table_address = target_address.decode()
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target_table = target_table_address.fullname
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logger.info(f"Target URL: {target_url}")
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logger.info(f"Source Table: {source_table}")
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logger.info(f"Target Table: {target_table}")
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logger.info(f"Start Date: {start_date}")
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logger.info(f"Batch Size: {batch_size}")
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ingest_kwargs = dict( # noqa: C408
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source_uri=str(source_url_obj),
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dest_uri=str(target_url),
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source_table=source_table,
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dest_table=target_table,
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yes=True,
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)
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if start_date is not None:
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ingest_kwargs["interval_start"] = start_date
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if batch_size is not None:
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ingest_kwargs["page_size"] = batch_size
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try:
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ingestr.main.ingest(
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source_uri=str(source_url_obj),
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dest_uri=str(target_url),
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source_table=source_table,
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dest_table=target_table,
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yes=True,
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)
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ingestr.main.ingest(**ingest_kwargs)
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return True
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except ConfigFieldMissingException:
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logger.error(

cratedb_toolkit/io/kinesis/relay.py

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from tqdm.contrib.logging import logging_redirect_tqdm
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from yarl import URL
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from cratedb_toolkit.io.exception import SkipAdapterException
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from cratedb_toolkit.io.kinesis.adapter import KinesisAdapterBase
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from cratedb_toolkit.io.kinesis.model import RecipeDefinition
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from cratedb_toolkit.model import DatabaseAddress
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primary_keys=pks, column_types=cms, mapping_strategy=mapping_strategy, ignore_ddl=ignore_ddl
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)
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else:
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raise NotImplementedError(f"Data processing not implemented for {self.kinesis_url}")
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raise SkipAdapterException(f"Not processing {self.kinesis_url} here")
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self.connection: sa.Connection
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self.progress_bar: tqdm

cratedb_toolkit/io/router.py

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from cratedb_toolkit.exception import (
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OperationFailed,
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)
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from cratedb_toolkit.io.exception import SkipAdapterException
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from cratedb_toolkit.model import DatabaseAddress, InputOutputResource
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from cratedb_toolkit.util.data import asbool
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elif source_url_obj.scheme.startswith("kinesis"):
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from cratedb_toolkit.io.kinesis.api import kinesis_relay
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return kinesis_relay(
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source_url=source_url_obj,
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target_url=target_url,
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recipe=transformation,
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)
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try:
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return kinesis_relay(
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source_url=source_url_obj,
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target_url=target_url,
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recipe=transformation,
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)
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except SkipAdapterException:
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pass
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elif source_url_obj.scheme in [
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"file+bson",
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from cratedb_toolkit.io.ingestr.api import ingestr_copy, ingestr_select
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source_url = str(source_url_obj)
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if ingestr_select(source_url):
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return ingestr_copy(source_url, target, progress=True)
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## Prerequisites
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Before using CrateDB Cloud services, authenticate and select
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your target database cluster.
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### Authenticate
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When working with [CrateDB Cloud], you can select between two authentication variants.
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Either _interactively authorize_ your terminal session using `croud login`,
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```shell
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# Replace YOUR_IDP with one of: cognito, azuread, github, google.
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croud login --idp YOUR_IDP
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```
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or provide API access credentials per environment variables for _headless/unattended
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operations_ after creating them using the [CrateDB Cloud Console] or
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`croud api-keys create`.
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```shell
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# Provide CrateDB Cloud API authentication tokens.
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export CRATEDB_CLOUD_API_KEY='<YOUR_API_KEY>'
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export CRATEDB_CLOUD_API_SECRET='<YOUR_API_SECRET>'
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```
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### Select cluster
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Discover the list of available database clusters.
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```shell
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croud clusters list
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```
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Select the designated target database cluster using one of three variants,
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either by using CLI options or environment variables.
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- All address options are mutually exclusive.
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- CLI options take precedence over environment variables.
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- Environment variables can be stored into an `.env` file in your working directory.
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:CLI options:
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`--cluster-id`, `--cluster-name`, `--cluster-url`
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:Environment variables:
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`CRATEDB_CLUSTER_ID`, `CRATEDB_CLUSTER_NAME`, `CRATEDB_CLUSTER_URL`
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Before invoking any of the next steps, address the CrateDB Cloud Cluster
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you are aiming to connect to, for example by defining the cluster id
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using the `CRATEDB_CLUSTER_ID` environment variable.
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```shell
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export CRATEDB_CLUSTER_ID='<YOUR_CLUSTER_ID>'
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```

doc/_snippet/ingest-see-also.md

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CrateDB also provides native data import capabilities and support for different
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ETL applications and frameworks, see [load data into CrateDB].
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If you have additional requirements on this or other I/O adapters, for example
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to support advanced processing options or different data formats, or if you want
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us to provide a managed variant, please let us know through any of our [support
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channels], preferably on our [community forum].
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[load data into CrateDB]: inv:guide:std:label#ingest
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[community forum]: https://community.cratedb.com/t/loading-data-into-cratedb-weekly-edition/2052
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[support channels]: https://cratedb.com/support

doc/_snippet/install-ctk.md

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## Installation
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CrateDB Toolkit uses the Python programming language with native performance
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extensions, which is installed
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on most machines today. Otherwise, we recommend to [download and install
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Python][install-python] from the original source.
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For installing additional Python packages, we recommend to
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[install the uv package manager][install-uv].
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```shell
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uv tool install --upgrade 'cratedb-toolkit'
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```
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An alternative way to install Python packages is to use [pipx]
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or `pip install --user`.
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```shell
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pipx install 'cratedb-toolkit'
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```
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Another way to invoke CrateDB Toolkit without installing it is to use its
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container image with Docker, Podman, Kubernetes, and friends.
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```shell
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docker run --rm ghcr.io/crate/cratedb-toolkit ctk
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```
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[install-python]: https://www.python.org/downloads/
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[install-uv]: https://docs.astral.sh/uv/getting-started/installation/
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[pipx]: https://pipx.pypa.io/

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