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gatorsmile d6ee69e776 [SPARK-22488][SQL] Fix the view resolution issue in the SparkSession internal table() API 
## What changes were proposed in this pull request?
The current internal `table()` API of `SparkSession` bypasses the Analyzer and directly calls `sessionState.catalog.lookupRelation` API. This skips the view resolution logics in our Analyzer rule `ResolveRelations`. This internal API is widely used by various DDL commands, public and internal APIs.

Users might get the strange error caused by view resolution when the default database is different.
```
Table or view not found: t1; line 1 pos 14
org.apache.spark.sql.AnalysisException: Table or view not found: t1; line 1 pos 14
	at org.apache.spark.sql.catalyst.analysis.package$AnalysisErrorAt.failAnalysis(package.scala:42)
```

This PR is to fix it by enforcing it to use `ResolveRelations` to resolve the table.

## How was this patch tested?
Added a test case and modified the existing test cases

Author: gatorsmile <gatorsmile@gmail.com>

Closes #19713 from gatorsmile/viewResolution.
2017-11-11 18:20:11 +01:00
..
catalyst [SPARK-22284][SQL] Fix 64KB JVM bytecode limit problem in calculating hash for nested structs 2017-11-10 21:17:49 +01:00
core [SPARK-22488][SQL] Fix the view resolution issue in the SparkSession internal table() API 2017-11-11 18:20:11 +01:00
hive [SPARK-22488][SQL] Fix the view resolution issue in the SparkSession internal table() API 2017-11-11 18:20:11 +01:00
hive-thriftserver [SPARK-22487][SQL][HIVE] Remove the unused HIVE_EXECUTION_VERSION property 2017-11-10 12:01:02 +01:00
create-docs.sh [MINOR][DOCS] Minor doc fixes related with doc build and uses script dir in SQL doc gen script 2017-08-26 13:56:24 +09:00
gen-sql-markdown.py [SPARK-21485][FOLLOWUP][SQL][DOCS] Describes examples and arguments separately, and note/since in SQL built-in function documentation 2017-08-05 10:10:56 -07:00
mkdocs.yml [SPARK-21485][SQL][DOCS] Spark SQL documentation generation for built-in functions 2017-07-26 09:38:51 -07:00
README.md [SPARK-21485][SQL][DOCS] Spark SQL documentation generation for built-in functions 2017-07-26 09:38:51 -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.

Running sql/create-docs.sh generates SQL documentation for built-in functions under sql/site.