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* [SPARK-4508] [SQL] build native date type to conform behavior to HiveDaoyuan Wang2015-02-031-1/+1
| | | | | | | | | | | | | | | | | | The previous #3732 is reverted due to some test failure. Have fixed that. Author: Daoyuan Wang <daoyuan.wang@intel.com> Closes #4325 from adrian-wang/datenative and squashes the following commits: 096e20d [Daoyuan Wang] fix for mixed timezone 0ed0fdc [Daoyuan Wang] fix test data a2fdd4e [Daoyuan Wang] getDate c37832b [Daoyuan Wang] row to catalyst f0005b1 [Daoyuan Wang] add date in sql parser and java type conversion 024c9a6 [Daoyuan Wang] clean some import order d6715fc [Daoyuan Wang] refactoring Date as Primitive Int internally 374abd5 [Daoyuan Wang] spark native date type support
* Revert "[SPARK-4508] [SQL] build native date type to conform behavior to Hive"Patrick Wendell2015-02-021-1/+1
| | | | This reverts commit 1646f89d967913ee1f231d9606f8502d13c25804.
* [SPARK-4508] [SQL] build native date type to conform behavior to HiveDaoyuan Wang2015-02-021-1/+1
| | | | | | | | | | | | | | | | | | Store daysSinceEpoch as an Int value(4 bytes) to represent DateType, instead of using java.sql.Date(8 bytes as Long) in catalyst row. This ensures the same comparison behavior of Hive and Catalyst. Subsumes #3381 I thinks there are already some tests in JavaSQLSuite, and for python it will not affect python's datetime class. Author: Daoyuan Wang <daoyuan.wang@intel.com> Closes #3732 from adrian-wang/datenative and squashes the following commits: 0ed0fdc [Daoyuan Wang] fix test data a2fdd4e [Daoyuan Wang] getDate c37832b [Daoyuan Wang] row to catalyst f0005b1 [Daoyuan Wang] add date in sql parser and java type conversion 024c9a6 [Daoyuan Wang] clean some import order d6715fc [Daoyuan Wang] refactoring Date as Primitive Int internally 374abd5 [Daoyuan Wang] spark native date type support
* [SPARK-5212][SQL] Add support of schema-less, custom field delimiter and ↵Liang-Chi Hsieh2015-02-021-1/+5
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | SerDe for HiveQL transform This pr adds the support of schema-less syntax, custom field delimiter and SerDe for HiveQL's transform. Author: Liang-Chi Hsieh <viirya@gmail.com> Closes #4014 from viirya/schema_less_trans and squashes the following commits: ac2d1fe [Liang-Chi Hsieh] Refactor codes for comments. a137933 [Liang-Chi Hsieh] Merge remote-tracking branch 'upstream/master' into schema_less_trans aa10fbd [Liang-Chi Hsieh] Add Hive golden answer files again. 575f695 [Liang-Chi Hsieh] Add Hive golden answer files for new unit tests. a422562 [Liang-Chi Hsieh] Use createQueryTest for unit tests and remove unnecessary imports. ccb71e3 [Liang-Chi Hsieh] Refactor codes for comments. 37bd391 [Liang-Chi Hsieh] Merge remote-tracking branch 'upstream/master' into schema_less_trans 6000889 [Liang-Chi Hsieh] Wrap input and output schema into ScriptInputOutputSchema. 21727f7 [Liang-Chi Hsieh] Move schema-less output to proper place. Use multilines instead of a long line SQL. 9a6dc04 [Liang-Chi Hsieh] setRecordReaderID is introduced in 0.13.1, use reflection API to call it. 7a14f31 [Liang-Chi Hsieh] Fix bug. 799b5e1 [Liang-Chi Hsieh] Call getSerializedClass instead of using Text. be2c3fc [Liang-Chi Hsieh] Fix style. 32d3046 [Liang-Chi Hsieh] Add SerDe support. ab22f7b [Liang-Chi Hsieh] Fix style. 7a48e42 [Liang-Chi Hsieh] Add support of custom field delimiter. b1729d9 [Liang-Chi Hsieh] Fix style. ccee49e [Liang-Chi Hsieh] Add unit test. f561c37 [Liang-Chi Hsieh] Add support of schema-less script transformation.
* [SPARK-5279][SQL] Use java.math.BigDecimal as the exposed Decimal type.Reynold Xin2015-01-181-1/+1
| | | | | | | | | Author: Reynold Xin <rxin@databricks.com> Closes #4092 from rxin/bigdecimal and squashes the following commits: 27b08c9 [Reynold Xin] Fixed test. 10cb496 [Reynold Xin] [SPARK-5279][SQL] Use java.math.BigDecimal as the exposed Decimal type.
* [SPARK-5248] [SQL] move sql.types.decimal.Decimal to sql.types.DecimalDaoyuan Wang2015-01-141-2/+1
| | | | | | | | | | | rxin follow up of #3732 Author: Daoyuan Wang <daoyuan.wang@intel.com> Closes #4041 from adrian-wang/decimal and squashes the following commits: aa3d738 [Daoyuan Wang] fix auto refactor 7777a58 [Daoyuan Wang] move sql.types.decimal.Decimal to sql.types.Decimal
* [SPARK-5123][SQL] Reconcile Java/Scala API for data types.Reynold Xin2015-01-131-10/+10
| | | | | | | | | | | | | | Having two versions of the data type APIs (one for Java, one for Scala) requires downstream libraries to also have two versions of the APIs if the library wants to support both Java and Scala. I took a look at the Scala version of the data type APIs - it can actually work out pretty well for Java out of the box. As part of the PR, I created a sql.types package and moved all type definitions there. I then removed the Java specific data type API along with a lot of the conversion code. This subsumes https://github.com/apache/spark/pull/3925 Author: Reynold Xin <rxin@databricks.com> Closes #3958 from rxin/SPARK-5123-datatype-2 and squashes the following commits: 66505cc [Reynold Xin] [SPARK-5123] Expose only one version of the data type APIs (i.e. remove the Java-specific API).
* [SPARK-5187][SQL] Fix caching of tables with HiveUDFs in the WHERE clauseMichael Armbrust2015-01-101-1/+1
| | | | | | | | Author: Michael Armbrust <michael@databricks.com> Closes #3987 from marmbrus/hiveUdfCaching and squashes the following commits: 8bca2fa [Michael Armbrust] [SPARK-5187][SQL] Fix caching of tables with HiveUDFs in the WHERE clause
* [SPARK-4573] [SQL] Add SettableStructObjectInspector support in "wrap" functionCheng Hao2014-12-181-22/+65
| | | | | | | | | | | | | | | | | | | Hive UDAF may create an customized object constructed by SettableStructObjectInspector, this is critical when integrate Hive UDAF with the refactor-ed UDAF interface. Performance issue in `wrap/unwrap` since more match cases added, will do it in another PR. Author: Cheng Hao <hao.cheng@intel.com> Closes #3429 from chenghao-intel/settable_oi and squashes the following commits: 9f0aff3 [Cheng Hao] update code style issues as feedbacks 2b0561d [Cheng Hao] Add more scala doc f5a40e8 [Cheng Hao] add scala doc 2977e9b [Cheng Hao] remove the timezone setting for test suite 3ed284c [Cheng Hao] fix the date type comparison f1b6749 [Cheng Hao] Update the comment 932940d [Cheng Hao] Add more unit test 72e4332 [Cheng Hao] Add settable StructObjectInspector support
* [SPARK-4662] [SQL] Whitelist more unittestCheng Hao2014-12-111-0/+1
| | | | | | | | | | | | | | | | | | | | Whitelist more hive unit test: "create_like_tbl_props" "udf5" "udf_java_method" "decimal_1" "udf_pmod" "udf_to_double" "udf_to_float" "udf7" (this will fail in Hive 0.12) Author: Cheng Hao <hao.cheng@intel.com> Closes #3522 from chenghao-intel/unittest and squashes the following commits: f54e4c7 [Cheng Hao] work around to clean up the hive.table.parameters.default in reset 16fee22 [Cheng Hao] Whitelist more unittest
* [SPARK-4785][SQL] Initilize Hive UDFs on the driver and serialize them with ↵Cheng Hao2014-12-091-0/+11
| | | | | | | | | | | | | | | | | a wrapper Different from Hive 0.12.0, in Hive 0.13.1 UDF/UDAF/UDTF (aka Hive function) objects should only be initialized once on the driver side and then serialized to executors. However, not all function objects are serializable (e.g. GenericUDF doesn't implement Serializable). Hive 0.13.1 solves this issue with Kryo or XML serializer. Several utility ser/de methods are provided in class o.a.h.h.q.e.Utilities for this purpose. In this PR we chose Kryo for efficiency. The Kryo serializer used here is created in Hive. Spark Kryo serializer wasn't used because there's no available SparkConf instance. Author: Cheng Hao <hao.cheng@intel.com> Author: Cheng Lian <lian@databricks.com> Closes #3640 from chenghao-intel/udf_serde and squashes the following commits: 8e13756 [Cheng Hao] Update the comment 74466a3 [Cheng Hao] refactor as feedbacks 396c0e1 [Cheng Hao] avoid Simple UDF to be serialized e9c3212 [Cheng Hao] update the comment 19cbd46 [Cheng Hao] support udf instance ser/de after initialization
* [SPARK-4443][SQL] Fix statistics for external table in spark sql hivew002289702014-11-171-0/+2
| | | | | | | | | | The `totalSize` of external table is always zero, which will influence join strategy(always use broadcast join for external table). Author: w00228970 <wangfei1@huawei.com> Closes #3304 from scwf/statistics and squashes the following commits: 568f321 [w00228970] fix statistics for external table
* [SPARK-4250] [SQL] Fix bug of constant null value mapping to ↵Cheng Hao2014-11-101-25/+45
| | | | | | | | | | | | ConstantObjectInspector Author: Cheng Hao <hao.cheng@intel.com> Closes #3114 from chenghao-intel/constant_null_oi and squashes the following commits: e603bda [Cheng Hao] fix the bug of null value for primitive types 50a13ba [Cheng Hao] fix the timezone issue f54f369 [Cheng Hao] fix bug of constant null value for ObjectInspector
* [SPARK-3930] [SPARK-3933] Support fixed-precision decimal in SQL, and some ↵Matei Zaharia2014-11-011-3/+19
| | | | | | | | | | | | | | | | | | | | | | | | | optimizations - Adds optional precision and scale to Spark SQL's decimal type, which behave similarly to those in Hive 13 (https://cwiki.apache.org/confluence/download/attachments/27362075/Hive_Decimal_Precision_Scale_Support.pdf) - Replaces our internal representation of decimals with a Decimal class that can store small values in a mutable Long, saving memory in this situation and letting some operations happen directly on Longs This is still marked WIP because there are a few TODOs, but I'll remove that tag when done. Author: Matei Zaharia <matei@databricks.com> Closes #2983 from mateiz/decimal-1 and squashes the following commits: 35e6b02 [Matei Zaharia] Fix issues after merge 227f24a [Matei Zaharia] Review comments 31f915e [Matei Zaharia] Implement Davies's suggestions in Python eb84820 [Matei Zaharia] Support reading/writing decimals as fixed-length binary in Parquet 4dc6bae [Matei Zaharia] Fix decimal support in PySpark d1d9d68 [Matei Zaharia] Fix compile error and test issues after rebase b28933d [Matei Zaharia] Support decimal precision/scale in Hive metastore 2118c0d [Matei Zaharia] Some test and bug fixes 81db9cb [Matei Zaharia] Added mutable Decimal that will be more efficient for small precisions 7af0c3b [Matei Zaharia] Add optional precision and scale to DecimalType, but use Unlimited for now ec0a947 [Matei Zaharia] Make the result of AVG on Decimals be Decimal, not Double
* [SPARK-3904] [SQL] add constant objectinspector support for udfsCheng Hao2014-10-281-0/+57
| | | | | | | | | | | | | | | | | | | | | | | In HQL, we convert all of the data type into normal `ObjectInspector`s for UDFs, most of cases it works, however, some of the UDF actually requires its children `ObjectInspector` to be the `ConstantObjectInspector`, which will cause exception. e.g. select named_struct("x", "str") from src limit 1; I updated the method `wrap` by adding the one more parameter `ObjectInspector`(to describe what it expects to wrap to, for example: java.lang.Integer or IntWritable). As well as the `unwrap` method by providing the input `ObjectInspector`. Author: Cheng Hao <hao.cheng@intel.com> Closes #2762 from chenghao-intel/udf_coi and squashes the following commits: bcacfd7 [Cheng Hao] Shim for both Hive 0.12 & 0.13.1 2416e5d [Cheng Hao] revert to hive 0.12 5793c01 [Cheng Hao] add space before while 4e56e1b [Cheng Hao] style issue 683d3fd [Cheng Hao] Add golden files fe591e4 [Cheng Hao] update HiveGenericUdf for set the ObjectInspector while constructing the DeferredObject f6740fe [Cheng Hao] Support Constant ObjectInspector for Map & List 8814c3a [Cheng Hao] Passing ContantObjectInspector(when necessary) for UDF initializing
* [SPARK-3343] [SQL] Add serde support for CTASCheng Hao2014-10-281-1/+4
| | | | | | | | | | | | Currently, `CTAS` (Create Table As Select) doesn't support specifying the `SerDe` in HQL. This PR will pass down the `ASTNode` into the physical operator `execution.CreateTableAsSelect`, which will extract the `CreateTableDesc` object via Hive `SemanticAnalyzer`. In the meantime, I also update the `HiveMetastoreCatalog.createTable` to optionally support the `CreateTableDesc` for table creation. Author: Cheng Hao <hao.cheng@intel.com> Closes #2570 from chenghao-intel/ctas_serde and squashes the following commits: e011ef5 [Cheng Hao] shim for both 0.12 & 0.13.1 cfb3662 [Cheng Hao] revert to hive 0.12 c8a547d [Cheng Hao] Support SerDe properties within CTAS
* [SQL] Update Hive test harness for Hive 12 and 13Michael Armbrust2014-10-241-3/+10
| | | | | | | | | | | | | As part of the upgrade I also copy the newest version of the query tests, and whitelist a bunch of new ones that are now passing. Author: Michael Armbrust <michael@databricks.com> Closes #2936 from marmbrus/fix13tests and squashes the following commits: d9cbdab [Michael Armbrust] Remove user specific tests 65801cd [Michael Armbrust] style and rat 8f6b09a [Michael Armbrust] Update test harness to work with both Hive 12 and 13. f044843 [Michael Armbrust] Update Hive query tests and golden files to 0.13
* [SPARK-2706][SQL] Enable Spark to support Hive 0.13Zhan Zhang2014-10-241-0/+89
Given that a lot of users are trying to use hive 0.13 in spark, and the incompatibility between hive-0.12 and hive-0.13 on the API level I want to propose following approach, which has no or minimum impact on existing hive-0.12 support, but be able to jumpstart the development of hive-0.13 and future version support. Approach: Introduce “hive-version” property, and manipulate pom.xml files to support different hive version at compiling time through shim layer, e.g., hive-0.12.0 and hive-0.13.1. More specifically, 1. For each different hive version, there is a very light layer of shim code to handle API differences, sitting in sql/hive/hive-version, e.g., sql/hive/v0.12.0 or sql/hive/v0.13.1 2. Add a new profile hive-default active by default, which picks up all existing configuration and hive-0.12.0 shim (v0.12.0) if no hive.version is specified. 3. If user specifies different version (currently only 0.13.1 by -Dhive.version = 0.13.1), hive-versions profile will be activated, which pick up hive-version specific shim layer and configuration, mainly the hive jars and hive-version shim, e.g., v0.13.1. 4. With this approach, nothing is changed with current hive-0.12 support. No change by default: sbt/sbt -Phive For example: sbt/sbt -Phive -Pyarn -Phadoop-2.4 -Dhadoop.version=2.4.0 assembly To enable hive-0.13: sbt/sbt -Dhive.version=0.13.1 For example: sbt/sbt -Dhive.version=0.13.1 -Pyarn -Phadoop-2.4 -Dhadoop.version=2.4.0 assembly Note that in hive-0.13, hive-thriftserver is not enabled, which should be fixed by other Jira, and we don’t need -Phive with -Dhive.version in building (probably we should use -Phive -Dhive.version=xxx instead after thrift server is also supported in hive-0.13.1). Author: Zhan Zhang <zhazhan@gmail.com> Author: zhzhan <zhazhan@gmail.com> Author: Patrick Wendell <pwendell@gmail.com> Closes #2241 from zhzhan/spark-2706 and squashes the following commits: 3ece905 [Zhan Zhang] minor fix 410b668 [Zhan Zhang] solve review comments cbb4691 [Zhan Zhang] change run-test for new options 0d4d2ed [Zhan Zhang] rebase 497b0f4 [Zhan Zhang] Merge branch 'master' of https://github.com/apache/spark 8fad1cf [Zhan Zhang] change the pom file and make hive-0.13.1 as the default ab028d1 [Zhan Zhang] rebase 4a2e36d [Zhan Zhang] Merge branch 'master' of https://github.com/apache/spark 4cb1b93 [zhzhan] Merge pull request #1 from pwendell/pr-2241 b0478c0 [Patrick Wendell] Changes to simplify the build of SPARK-2706 2b50502 [Zhan Zhang] rebase a72c0d4 [Zhan Zhang] Merge branch 'master' of https://github.com/apache/spark cb22863 [Zhan Zhang] correct the typo 20f6cf7 [Zhan Zhang] solve compatability issue f7912a9 [Zhan Zhang] rebase and solve review feedback 301eb4a [Zhan Zhang] Merge branch 'master' of https://github.com/apache/spark 10c3565 [Zhan Zhang] address review comments 6bc9204 [Zhan Zhang] rebase and remove temparory repo d3aa3f2 [Zhan Zhang] Merge branch 'master' into spark-2706 cedcc6f [Zhan Zhang] Merge branch 'master' of https://github.com/apache/spark 3ced0d7 [Zhan Zhang] rebase d9b981d [Zhan Zhang] rebase and fix error due to rollback adf4924 [Zhan Zhang] Merge branch 'master' of https://github.com/apache/spark 3dd50e8 [Zhan Zhang] solve conflicts and remove unnecessary implicts d10bf00 [Zhan Zhang] Merge branch 'master' of https://github.com/apache/spark dc7bdb3 [Zhan Zhang] solve conflicts 7e0cc36 [Zhan Zhang] Merge branch 'master' of https://github.com/apache/spark d7c3e1e [Zhan Zhang] Merge branch 'master' into spark-2706 68deb11 [Zhan Zhang] Merge branch 'master' of https://github.com/apache/spark d48bd18 [Zhan Zhang] address review comments 3ee3b2b [Zhan Zhang] Merge branch 'master' of https://github.com/apache/spark 57ea52e [Zhan Zhang] Merge branch 'master' into spark-2706 2b0d513 [Zhan Zhang] Merge branch 'master' of https://github.com/apache/spark 9412d24 [Zhan Zhang] address review comments f4af934 [Zhan Zhang] rebase 1ccd7cc [Zhan Zhang] Merge branch 'master' of https://github.com/apache/spark 128b60b [Zhan Zhang] ignore 0.12.0 test cases for the time being af9feb9 [Zhan Zhang] Merge branch 'master' of https://github.com/apache/spark 5f5619f [Zhan Zhang] restructure the directory and different hive version support 05d3683 [Zhan Zhang] solve conflicts e4c1982 [Zhan Zhang] Merge branch 'master' of https://github.com/apache/spark 94b4fdc [Zhan Zhang] Spark-2706: hive-0.13.1 support on spark 87ebf3b [Zhan Zhang] Merge branch 'master' into spark-2706 921e914 [Zhan Zhang] Merge branch 'master' of https://github.com/apache/spark f896b2a [Zhan Zhang] Merge branch 'master' into spark-2706 789ea21 [Zhan Zhang] Merge branch 'master' of https://github.com/apache/spark cb53a2c [Zhan Zhang] Merge branch 'master' of https://github.com/apache/spark f6a8a40 [Zhan Zhang] revert ba14f28 [Zhan Zhang] test dbedff3 [Zhan Zhang] Merge remote-tracking branch 'upstream/master' 70964fe [Zhan Zhang] revert fe0f379 [Zhan Zhang] Merge branch 'master' of https://github.com/zhzhan/spark 70ffd93 [Zhan Zhang] revert 42585ec [Zhan Zhang] test 7d5fce2 [Zhan Zhang] test
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