dc96f2f8d6
### What changes were proposed in this pull request? Get table names directly from a sequence of Hive tables in `HiveClientImpl.listTablesByType()` by skipping conversions Hive tables to Catalog tables. ### Why are the changes needed? A Hive metastore can be shared across many clients. A client can create tables using a SerDe which is not available on other clients, for instance `ROW FORMAT SERDE "com.ibm.spss.hive.serde2.xml.XmlSerDe"`. In the current implementation, other clients get the following exception while getting views: ``` java.lang.RuntimeException: MetaException(message:java.lang.ClassNotFoundException Class com.ibm.spss.hive.serde2.xml.XmlSerDe not found) ``` when `com.ibm.spss.hive.serde2.xml.XmlSerDe` is not available. ### Does this PR introduce _any_ user-facing change? Yes. For example, `SHOW VIEWS` returns a list of views instead of throwing an exception. ### How was this patch tested? - By existing test suites like: ``` $ build/sbt -Phive-2.3 "test:testOnly org.apache.spark.sql.hive.client.VersionsSuite" ``` - And manually: 1. Build Spark with Hive 1.2: `./build/sbt package -Phive-1.2 -Phive -Dhadoop.version=2.8.5` 2. Run spark-shell with a custom Hive SerDe, for instance download [json-serde-1.3.8-jar-with-dependencies.jar](https://github.com/cdamak/Twitter-Hive/blob/master/json-serde-1.3.8-jar-with-dependencies.jar) from https://github.com/cdamak/Twitter-Hive: ``` $ ./bin/spark-shell --jars ../Downloads/json-serde-1.3.8-jar-with-dependencies.jar ``` 3. Create a Hive table using this SerDe: ```scala scala> :paste // Entering paste mode (ctrl-D to finish) sql(s""" |CREATE TABLE json_table2(page_id INT NOT NULL) |ROW FORMAT SERDE 'org.openx.data.jsonserde.JsonSerDe' |""".stripMargin) // Exiting paste mode, now interpreting. res0: org.apache.spark.sql.DataFrame = [] scala> sql("SHOW TABLES").show +--------+-----------+-----------+ |database| tableName|isTemporary| +--------+-----------+-----------+ | default|json_table2| false| +--------+-----------+-----------+ scala> sql("SHOW VIEWS").show +---------+--------+-----------+ |namespace|viewName|isTemporary| +---------+--------+-----------+ +---------+--------+-----------+ ``` 4. Quit from the current `spark-shell` and run it without jars: ``` $ ./bin/spark-shell ``` 5. Show views. Without the fix, it throws the exception: ```scala scala> sql("SHOW VIEWS").show 20/08/06 10:53:36 ERROR log: error in initSerDe: java.lang.ClassNotFoundException Class org.openx.data.jsonserde.JsonSerDe not found java.lang.ClassNotFoundException: Class org.openx.data.jsonserde.JsonSerDe not found at org.apache.hadoop.conf.Configuration.getClassByName(Configuration.java:2273) at org.apache.hadoop.hive.metastore.MetaStoreUtils.getDeserializer(MetaStoreUtils.java:385) at org.apache.hadoop.hive.ql.metadata.Table.getDeserializerFromMetaStore(Table.java:276) at org.apache.hadoop.hive.ql.metadata.Table.getDeserializer(Table.java:258) at org.apache.hadoop.hive.ql.metadata.Table.getCols(Table.java:605) ``` After the fix: ```scala scala> sql("SHOW VIEWS").show +---------+--------+-----------+ |namespace|viewName|isTemporary| +---------+--------+-----------+ +---------+--------+-----------+ ``` Closes #29363 from MaxGekk/fix-listTablesByType-for-views. Authored-by: Max Gekk <max.gekk@gmail.com> Signed-off-by: Wenchen Fan <wenchen@databricks.com> |
||
|---|---|---|
| .. | ||
| catalyst | ||
| core | ||
| hive | ||
| hive-thriftserver | ||
| create-docs.sh | ||
| gen-sql-api-docs.py | ||
| gen-sql-config-docs.py | ||
| gen-sql-functions-docs.py | ||
| mkdocs.yml | ||
| README.md | ||
Spark SQL
This module provides support for executing relational queries expressed in either SQL or the DataFrame/Dataset API.
Spark SQL is broken up into four subprojects:
- Catalyst (sql/catalyst) - An implementation-agnostic framework for manipulating trees of relational operators and expressions.
- Execution (sql/core) - A query planner / execution engine for translating Catalyst's logical query plans into Spark RDDs. This component also includes a new public interface, SQLContext, that allows users to execute SQL or LINQ statements against existing RDDs and Parquet files.
- Hive Support (sql/hive) - Includes extensions that allow users to write queries using a subset of HiveQL and access data from a Hive Metastore using Hive SerDes. There are also wrappers that allow users to run queries that include Hive UDFs, UDAFs, and UDTFs.
- HiveServer and CLI support (sql/hive-thriftserver) - Includes support for the SQL CLI (bin/spark-sql) and a HiveServer2 (for JDBC/ODBC) compatible server.
Running ./sql/create-docs.sh generates SQL documentation for built-in functions under sql/site, and SQL configuration documentation that gets included as part of configuration.md in the main docs directory.