spark-instrumented-optimizer/sql/core/src/test
hyukjinkwon 4bac703eb9 [SPARK-13667][SQL] Support for specifying custom date format for date and timestamp types at CSV datasource.
## What changes were proposed in this pull request?

This PR adds the support to specify custom date format for `DateType` and `TimestampType`.

For `TimestampType`, this uses the given format to infer schema and also to convert the values
For `DateType`, this uses the given format to convert the values.
If the `dateFormat` is not given, then it works with `DateTimeUtils.stringToTime()` for backwords compatibility.
When it's given, then it uses `SimpleDateFormat` for parsing data.

In addition, `IntegerType`, `DoubleType` and `LongType` have a higher priority than `TimestampType` in type inference. This means even if the given format is `yyyy` or `yyyy.MM`, it will be inferred as `IntegerType` or `DoubleType`. Since it is type inference, I think it is okay to give such precedences.

In addition, I renamed `csv.CSVInferSchema` to `csv.InferSchema` as JSON datasource has `json.InferSchema`. Although they have the same names, I did this because I thought the parent package name can still differentiate each.  Accordingly, the suite name was also changed from `CSVInferSchemaSuite` to `InferSchemaSuite`.

## How was this patch tested?

unit tests are used and `./dev/run_tests` for coding style tests.

Author: hyukjinkwon <gurwls223@gmail.com>

Closes #11550 from HyukjinKwon/SPARK-13667.
2016-04-29 22:52:21 -07:00
..
avro [SPARK-10136] [SQL] Fixes Parquet support for Avro array of primitive array 2015-08-20 11:00:29 -07:00
gen-java/org/apache/spark/sql/execution/datasources/parquet/test/avro [SPARK-13401][SQL][TESTS] Fix SQL test warnings. 2016-03-22 21:08:11 -07:00
java/test/org/apache/spark/sql [SPARK-12660][SPARK-14967][SQL] Implement Except Distinct by Left Anti Join 2016-04-29 15:30:36 +08:00
resources [SPARK-13667][SQL] Support for specifying custom date format for date and timestamp types at CSV datasource. 2016-04-29 22:52:21 -07:00
scala/org/apache/spark/sql [SPARK-13667][SQL] Support for specifying custom date format for date and timestamp types at CSV datasource. 2016-04-29 22:52:21 -07:00
scripts [SPARK-9407] [SQL] Relaxes Parquet ValidTypeMap to allow ENUM predicates to be pushed down 2015-08-12 20:01:34 +08:00
thrift [SPARK-9407] [SQL] Relaxes Parquet ValidTypeMap to allow ENUM predicates to be pushed down 2015-08-12 20:01:34 +08:00
README.md [SPARK-9407] [SQL] Relaxes Parquet ValidTypeMap to allow ENUM predicates to be pushed down 2015-08-12 20:01:34 +08:00

Notes for Parquet compatibility tests

The following directories and files are used for Parquet compatibility tests:

.
├── README.md                   # This file
├── avro
│   ├── *.avdl                  # Testing Avro IDL(s)
│   └── *.avpr                  # !! NO TOUCH !! Protocol files generated from Avro IDL(s)
├── gen-java                    # !! NO TOUCH !! Generated Java code
├── scripts
│   ├── gen-avro.sh             # Script used to generate Java code for Avro
│   └── gen-thrift.sh           # Script used to generate Java code for Thrift
└── thrift
    └── *.thrift                # Testing Thrift schema(s)

To avoid code generation during build time, Java code generated from testing Thrift schema and Avro IDL are also checked in.

When updating the testing Thrift schema and Avro IDL, please run gen-avro.sh and gen-thrift.sh accordingly to update generated Java code.

Prerequisites

Please ensure avro-tools and thrift are installed. You may install these two on Mac OS X via:

$ brew install thrift avro-tools