spark-instrumented-optimizer/sql
Maxim Gekk 1b1528a504 [SPARK-24366][SQL] Improving of error messages for type converting
## What changes were proposed in this pull request?

Currently, users are getting the following error messages on type conversions:

```
scala.MatchError: test (of class java.lang.String)
```

The message doesn't give any clues to the users where in the schema the error happened. In this PR, I would like to improve the error message like:

```
The value (test) of the type (java.lang.String) cannot be converted to struct<f1:int>
```

## How was this patch tested?

Added tests for converting of wrong values to `struct`, `map`, `array`, `string` and `decimal`.

Author: Maxim Gekk <maxim.gekk@databricks.com>

Closes #21410 from MaxGekk/type-conv-error.
2018-05-25 15:42:46 -07:00
..
catalyst [SPARK-24366][SQL] Improving of error messages for type converting 2018-05-25 15:42:46 -07:00
core [SPARK-24244][SPARK-24368][SQL] Passing only required columns to the CSV parser 2018-05-24 21:38:04 -07:00
hive [SPARK-24367][SQL] Parquet: use JOB_SUMMARY_LEVEL instead of deprecated flag ENABLE_JOB_SUMMARY 2018-05-25 11:16:35 +08:00
hive-thriftserver [SPARK-20120][SQL][FOLLOW-UP] Better way to support spark-sql silent mode. 2018-05-22 08:20:59 -05:00
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

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.