@@ -314,6 +314,8 @@ Here's a list of some of the recommended packages.
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+---------------+-------------------------------------+-------------------------------------------------+
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| Athena | ``pip install "PyAthenaJDBC>1.0.9"``| ``awsathena+jdbc:// `` |
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+---------------+-------------------------------------+-------------------------------------------------+
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+ | Athena | ``pip install "PyAthena>1.2.0" `` | ``awsathena+rest:// `` |
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+ +---------------+-------------------------------------+-------------------------------------------------+
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| Vertica | ``pip install | ``vertica+vertica_python:// `` |
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| | sqlalchemy-vertica-python`` | |
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+---------------+-------------------------------------+-------------------------------------------------+
@@ -341,6 +343,11 @@ Where you need to escape/encode at least the s3_staging_dir, i.e., ::
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s3://... -> s3%3A//...
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+ You can also use `PyAthena ` library
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+
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+ awsathena+rest://{aws_access_key_id}:{aws_secret_access_key}@athena.{region_name}.amazonaws.com/{schema_name}?s3_staging_dir={s3_staging_dir}&...
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+ _(See more details at https://github.com/laughingman7743/PyAthena#sqlalchemy.)_
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Caching
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-------
@@ -362,7 +369,7 @@ For setting your timeouts, this is done in the Superset metadata and goes
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up the "timeout searchpath", from your slice configuration, to your
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data source's configuration, to your database's and ultimately falls back
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into your global default defined in ``CACHE_CONFIG ``.
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-
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+
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.. code-block :: python
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CACHE_CONFIG = {
@@ -657,13 +664,13 @@ Note that it's also possible to implement you own logger by deriving
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Install Superset with helm in Kubernetes
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--------------
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- You can install Superset into Kubernetes with Helm <https://helm.sh/>. The chart is
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+ You can install Superset into Kubernetes with Helm <https://helm.sh/>. The chart is
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located in ``install/helm ``.
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To install Superset into your Kubernetes:
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.. code-block :: bash
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- helm upgrade --install superset ./install/helm/superset
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+ helm upgrade --install superset ./install/helm/superset
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Note that the above command will install Superset into ``default `` namespace of your Kubernetes cluster.
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