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TPC-DS
======
The TPC-DS is a decision support benchmark. It consists of a suite of business oriented ad-hoc queries and concurrent
data modifications. The queries and the data populating the database have been chosen to have broad industry-wide
relevance.
.. tip::
This article assumes that you have mastered the basic knowledge and operation of `TPC-DS`_.
For the knowledge about TPC-DS not mentioned in this article, you can obtain it from its `Official Documentation`_.
This connector can be used to test the capabilities and query syntax of Spark without configuring access to an external
data source. When you query a TPC-DS table, the connector generates the data on the fly using a deterministic algorithm.
Goto `Try Kyuubi`_ to explore TPC-DS data instantly!
TPC-DS Integration
------------------
To enable the integration of Kyuubi Spark SQL engine and TPC-DS through
Spark DataSource V2 API, you need to:
- Referencing the TPC-DS connector :ref:`dependencies<spark-tpcds-deps>`
- Setting the Spark catalog :ref:`configurations<spark-tpcds-conf>`
.. _spark-tpcds-deps:
Dependencies
************
The **classpath** of Kyuubi Spark SQL engine with TPC-DS supported consists of
1. kyuubi-spark-sql-engine-\ |release|\ _2.12.jar, the engine jar deployed with a Kyuubi distribution
2. a copy of Spark distribution
3. kyuubi-spark-connector-tpcds-\ |release|\ _2.12.jar, which can be found in the `Maven Central`_
In order to make the TPC-DS connector package visible for the runtime classpath of engines, we can use one of these methods:
1. Put the TPC-DS connector package into ``$SPARK_HOME/jars`` directly
2. Set spark.jars=kyuubi-spark-connector-tpcds-\ |release|\ _2.12.jar
.. _spark-tpcds-conf:
Configurations
**************
To add TPC-DS tables as a catalog, we can set the following configurations in ``$SPARK_HOME/conf/spark-defaults.conf``:
.. code-block:: properties
# (required) Register a catalog named `tpcds` for the spark engine.
spark.sql.catalog.tpcds=org.apache.kyuubi.spark.connector.tpcds.TPCDSCatalog
# (optional) Excluded database list from the catalog, all available databases are:
# sf0, tiny, sf1, sf10, sf30, sf100, sf300, sf1000, sf3000, sf10000, sf30000, sf100000.
spark.sql.catalog.tpcds.excludeDatabases=sf10000,sf30000
# (optional) When true, use CHAR/VARCHAR, otherwise use STRING. It affects output of the table schema,
# e.g. `SHOW CREATE TABLE <table>`, `DESC <table>`.
spark.sql.catalog.tpcds.useAnsiStringType=false
# (optional) TPCDS changed table schemas in v2.6.0, turn off this option to use old table schemas.
# See detail at: https://www.tpc.org/tpc_documents_current_versions/pdf/tpc-ds_v3.2.0.pdf
spark.sql.catalog.tpcds.useTableSchema_2_6=true
# (optional) Maximum bytes per task, consider reducing it if you want higher parallelism.
spark.sql.catalog.tpcds.read.maxPartitionBytes=128m
TPC-DS Operations
-----------------
Listing databases under `tpcds` catalog.
.. code-block:: sql
SHOW DATABASES IN tpcds;
Listing tables under `tpcds.sf1` database.
.. code-block:: sql
SHOW TABLES IN tpcds.sf1;
Switch current database to `tpcds.sf1` and run a query against it.
.. code-block:: sql
USE tpcds.sf1;
SELECT * FROM store;
.. _Official Documentation: https://www.tpc.org/tpcds/
.. _Try Kyuubi: https://try.kyuubi.cloud/
.. _Maven Central: https://repo1.maven.org/maven2/org/apache/kyuubi/kyuubi-spark-connector-tpcds_2.12/