spark-instrumented-optimizer/sql
Hyukjin Kwon 20750a3f9e [SPARK-32194][PYTHON] Use proper exception classes instead of plain Exception
### What changes were proposed in this pull request?

This PR proposes to use a proper built-in exceptions instead of the plain `Exception` in Python.

While I am here, I fixed another minor issue at `DataFrams.schema` together:

```diff
- except AttributeError as e:
-     raise Exception(
-         "Unable to parse datatype from schema. %s" % e)
+ except Exception as e:
+     raise ValueError(
+         "Unable to parse datatype from schema. %s" % e) from e
```

Now it catches all exceptions during schema parsing, chains the exception with `ValueError`. Previously it only caught `AttributeError` that does not catch all cases.

### Why are the changes needed?

For users to expect the proper exceptions.

### Does this PR introduce _any_ user-facing change?

Yeah, the exception classes became different but should be compatible because previous exception was plain `Exception` which other exceptions inherit.

### How was this patch tested?

Existing unittests should cover,

Closes #31238

Closes #32650 from HyukjinKwon/SPARK-32194.

Authored-by: Hyukjin Kwon <gurwls223@apache.org>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
2021-05-26 11:54:40 +09:00
..
catalyst [SPARK-35455][SQL] Unify empty relation optimization between normal and AQE optimizer 2021-05-25 08:59:59 +00:00
core [SPARK-35447][SQL] Optimize skew join before coalescing shuffle partitions 2021-05-25 13:12:45 +00:00
hive [SPARK-28551][SQL][FOLLOWUP] Use the corrected hadoop conf 2021-05-22 10:33:57 +08:00
hive-thriftserver [SPARK-35286][SQL] Replace SessionState.start with SessionState.setCurrentSessionState 2021-05-16 18:39:15 +08:00
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 [SPARK-31562][SQL] Update ExpressionDescription for substring, current_date, and current_timestamp 2020-04-26 11:46:52 -07:00
mkdocs.yml [SPARK-30731] Update deprecated Mkdocs option 2020-02-19 17:28:58 +09:00
README.md [SPARK-30510][SQL][DOCS] Publicly document Spark SQL configuration options 2020-02-09 19:20:47 +09:00

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 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.