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RoryQi 378ac78bdf [SPARK-35318][SQL][FOLLOWUP] Hide the internal view properties for show tblproperties 
### What changes were proposed in this pull request?
PR #32441 hid the internal view properties for describe table command, But the `show tblproperties view` case is not covered.

### Why are the changes needed?
Avoid internal properties confusing the users.

### Does this PR introduce _any_ user-facing change?
Yes
Before this change, the user will see below output for  `show tblproperties test_view`
```
....
p1 v1
p2 v2
view.catalogAndNamespace.numParts	2
view.catalogAndNamespace.part.0	spark_catalog
view.catalogAndNamespace.part.1	default
view.query.out.col.0	c1
view.query.out.numCols	1
view.referredTempFunctionsNames	[]
view.referredTempViewNames	[]
...
```
After this change, the internal properties will be hidden.
```
....
p1 v1
p2 v2
...
```
### How was this patch tested?
existing UT

Closes #33016 from jerqi/hide_show_tblproperties.

Authored-by: RoryQi <1242949407@qq.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
2021-06-28 07:05:29 +00:00
..
catalyst [SPARK-35886][SQL] PromotePrecision should not overwrite genCode 2021-06-26 23:19:58 -07:00
core [SPARK-35318][SQL][FOLLOWUP] Hide the internal view properties for show tblproperties 2021-06-28 07:05:29 +00:00
hive [SPARK-35747][CORE] Avoid printing full Exception stack trace, if Hbase/Kafka/Hive services are not running in a secure cluster 2021-06-23 23:12:02 -07:00
hive-thriftserver [SPARK-35838][BUILD][TESTS] Ensure all modules can be maven test independently in Scala 2.13 2021-06-22 06:31:24 -07:00
create-docs.sh [SPARK-34010][SQL][DODCS] Use python3 instead of python in SQL documentation build 2021-01-05 19:48:10 +09:00
gen-sql-api-docs.py [SPARK-34747][SQL][DOCS] Add virtual operators to the built-in function document 2021-03-19 10:19:26 +09:00
gen-sql-config-docs.py [SPARK-32194][PYTHON] Use proper exception classes instead of plain Exception 2021-05-26 11:54:40 +09:00
gen-sql-functions-docs.py
mkdocs.yml
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 extensions that allow 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, and SQL configuration documentation that gets included as part of configuration.md in the main docs directory.