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Eric Liang 6633b97b57 [SPARK-18167][SQL] Also log all partitions when the SQLQuerySuite test flakes 
## What changes were proposed in this pull request?

One possibility for this test flaking is that we have corrupted the partition schema somehow in the tests, which causes the cast to decimal to fail in the call. This should at least show us the actual partition values.

## How was this patch tested?

Run it locally, it prints out something like `ArrayBuffer(test(partcol=0), test(partcol=1), test(partcol=2), test(partcol=3), test(partcol=4))`.

Author: Eric Liang <ekl@databricks.com>

Closes #15701 from ericl/print-more-info.
2016-10-31 16:26:52 -07:00
..
catalyst [SPARK-17970][SQL] store partition spec in metastore for data source table 2016-10-27 14:22:30 -07:00
core [SPARK-18030][TESTS] Fix flaky FileStreamSourceSuite by not deleting the files 2016-10-31 16:05:17 -07:00
hive [SPARK-18167][SQL] Also log all partitions when the SQLQuerySuite test flakes 2016-10-31 16:26:52 -07:00
hive-thriftserver [SPARK-17819][SQL] Support default database in connection URIs for Spark Thrift Server 2016-10-16 20:15:32 -07:00
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.