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Josh Rosen d9dd979d17 [SPARK-18462] Fix ClassCastException in SparkListenerDriverAccumUpdates event 
## What changes were proposed in this pull request?

This patch fixes a `ClassCastException: java.lang.Integer cannot be cast to java.lang.Long` error which could occur in the HistoryServer while trying to process a deserialized `SparkListenerDriverAccumUpdates` event.

The problem stems from how `jackson-module-scala` handles primitive type parameters (see https://github.com/FasterXML/jackson-module-scala/wiki/FAQ#deserializing-optionint-and-other-primitive-challenges for more details). This was causing a problem where our code expected a field to be deserialized as a `(Long, Long)` tuple but we got an `(Int, Int)` tuple instead.

This patch hacks around this issue by registering a custom `Converter` with Jackson in order to deserialize the tuples as `(Object, Object)` and perform the appropriate casting.

## How was this patch tested?

New regression tests in `SQLListenerSuite`.

Author: Josh Rosen <joshrosen@databricks.com>

Closes #15922 from JoshRosen/SPARK-18462.
2016-11-17 18:45:15 -08:00
..
catalyst [SPARK-18442][SQL] Fix nullability of WrapOption. 2016-11-17 11:21:08 +08:00
core [SPARK-18462] Fix ClassCastException in SparkListenerDriverAccumUpdates event 2016-11-17 18:45:15 -08:00
hive [SPARK-18360][SQL] default table path of tables in default database should depend on the location of default database 2016-11-17 17:31:12 -08:00
hive-thriftserver [SPARK-14914][CORE] Fix Resource not closed after using, for unit tests and example 2016-11-10 10:54:36 +00:00
README.md [SPARK-16557][SQL] Remove stale doc in sql/README.md 2016-07-14 19:24:42 -07:00

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 an extension of SQLContext called HiveContext that allows users to write queries using a subset of HiveQL and access data from a Hive Metastore using Hive SerDes. There are also wrappers that allows 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.