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[SPARK-19012][SQL] Fix `createTempViewCommand` to throw AnalysisException instead of ParseException
Dongjoon Hyun authored 
## What changes were proposed in this pull request?

Currently, `createTempView`, `createOrReplaceTempView`, and `createGlobalTempView` show `ParseExceptions` on invalid table names. We had better show better error message. Also, this PR also adds and updates the missing description on the API docs correctly.

**BEFORE**
```
scala> spark.range(10).createOrReplaceTempView("11111")
org.apache.spark.sql.catalyst.parser.ParseException:
mismatched input '11111' expecting {'SELECT', 'FROM', 'ADD', ...}(line 1, pos 0)

== SQL ==
11111
...
```

**AFTER**
```
scala> spark.range(10).createOrReplaceTempView("11111")
org.apache.spark.sql.AnalysisException: Invalid view name: 11111;
...
```

## How was this patch tested?

Pass the Jenkins with updated a test case.

Author: Dongjoon Hyun <dongjoon@apache.org>

Closes #16427 from dongjoon-hyun/SPARK-19012.
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catalyst
core
hive-thriftserver
hive
README.md
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.