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gengjiaan f9776e3892 [MINOR][SQL] Fix typo in exception about set table properties. 
## What changes were proposed in this pull request?

The function of the method named verifyTableProperties is

`If the given table properties contains datasource properties, throw an exception. We will do this check when create or alter a table, i.e. when we try to write table metadata to Hive metastore.`

But the message of AnalysisException in verifyTableProperties contains one typo and one unsuited word.
So I change the exception from

`Cannot persistent ${table.qualifiedName} into hive metastore`

to

`Cannot persist ${table.qualifiedName} into Hive metastore`

## How was this patch tested?

Please review http://spark.apache.org/contributing.html before opening a pull request.

Closes #23574 from beliefer/incorrect-analysis-exception.

Authored-by: gengjiaan <gengjiaan@360.cn>
Signed-off-by: Sean Owen <sean.owen@databricks.com>
2019-02-21 22:13:47 -06:00
..
catalyst [SPARK-26824][SS] Fix the checkpoint location and _spark_metadata when it contains special chars 2019-02-20 15:44:20 -08:00
core [SPARK-26958][SQL][TEST] Add NestedSchemaPruningBenchmark 2019-02-21 23:39:36 +00:00
hive [MINOR][SQL] Fix typo in exception about set table properties. 2019-02-21 22:13:47 -06:00
hive-thriftserver [SPARK-24570][SQL] Implement Spark own GetTablesOperation to fix SQL client tools cannot show tables 2019-02-17 23:35:45 -08:00
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 [MINOR][DOC] Fix some typos and grammar issues 2018-04-06 13:37:08 +08:00

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 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.