spark-instrumented-optimizer/sql
Herman van Hovell f7c145d8ce [SPARK-17996][SQL] Fix unqualified catalog.getFunction(...)
## What changes were proposed in this pull request?

Currently an unqualified `getFunction(..)`call returns a wrong result; the returned function is shown as temporary function without a database. For example:

```
scala> sql("create function fn1 as 'org.apache.hadoop.hive.ql.udf.generic.GenericUDFAbs'")
res0: org.apache.spark.sql.DataFrame = []

scala> spark.catalog.getFunction("fn1")
res1: org.apache.spark.sql.catalog.Function = Function[name='fn1', className='org.apache.hadoop.hive.ql.udf.generic.GenericUDFAbs', isTemporary='true']
```

This PR fixes this by adding database information to ExpressionInfo (which is used to store the function information).
## How was this patch tested?

Added more thorough tests to `CatalogSuite`.

Author: Herman van Hovell <hvanhovell@databricks.com>

Closes #15542 from hvanhovell/SPARK-17996.
2016-11-01 15:41:45 +01:00
..
catalyst [SPARK-17996][SQL] Fix unqualified catalog.getFunction(...) 2016-11-01 15:41:45 +01:00
core [SPARK-17996][SQL] Fix unqualified catalog.getFunction(...) 2016-11-01 15:41:45 +01:00
hive [SPARK-18107][SQL] Insert overwrite statement runs much slower in spark-sql than it does in hive-client 2016-11-01 00:24:08 -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

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.