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* [SPARK-4785][SQL] Initilize Hive UDFs on the driver and serialize them with ↵Cheng Hao2014-12-095-50/+173
| | | | | | | | | | | | | | | | | 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-4769] [SQL] CTAS does not work when reading from temporary tablesCheng Hao2014-12-084-16/+49
| | | | | | | | | | | | | | This is the code refactor and follow ups for #2570 Author: Cheng Hao <hao.cheng@intel.com> Closes #3336 from chenghao-intel/createtbl and squashes the following commits: 3563142 [Cheng Hao] remove the unused variable e215187 [Cheng Hao] eliminate the compiling warning 4f97f14 [Cheng Hao] fix bug in unittest 5d58812 [Cheng Hao] revert the API changes b85b620 [Cheng Hao] fix the regression of temp tabl not found in CTAS
* [SQL] remove unnecessary import in spark-sqlJacky Li2014-12-085-9/+3
| | | | | | | | Author: Jacky Li <jacky.likun@huawei.com> Closes #3630 from jackylk/remove and squashes the following commits: 150e7e0 [Jacky Li] remove unnecessary import
* [SPARK-4761][SQL] Enables Kryo by default in Spark SQL Thrift serverCheng Lian2014-12-051-2/+12
| | | | | | | | | | | | | | Enables Kryo and disables reference tracking by default in Spark SQL Thrift server. Configurations explicitly defined by users in `spark-defaults.conf` are respected (the Thrift server is started by `spark-submit`, which handles configuration properties properly). <!-- Reviewable:start --> [<img src="https://reviewable.io/review_button.png" height=40 alt="Review on Reviewable"/>](https://reviewable.io/reviews/apache/spark/3621) <!-- Reviewable:end --> Author: Cheng Lian <lian@databricks.com> Closes #3621 from liancheng/kryo-by-default and squashes the following commits: 70c2775 [Cheng Lian] Enables Kryo by default in Spark SQL Thrift server
* [SPARK-4753][SQL] Use catalyst for partition pruning in newParquet.Michael Armbrust2014-12-041-30/+28
| | | | | | | | Author: Michael Armbrust <michael@databricks.com> Closes #3613 from marmbrus/parquetPartitionPruning and squashes the following commits: 4f138f8 [Michael Armbrust] Use catalyst for partition pruning in newParquet.
* [SQL] Minor: Avoid calling Seq#size in a loopAaron Davidson2014-12-041-3/+3
| | | | | | | | | | Just found this instance while doing some jstack-based profiling of a Spark SQL job. It is very unlikely that this is causing much of a perf issue anywhere, but it is unnecessarily suboptimal. Author: Aaron Davidson <aaron@databricks.com> Closes #3593 from aarondav/seq-opt and squashes the following commits: 962cdfc [Aaron Davidson] [SQL] Minor: Avoid calling Seq#size in a loop
* [SQL] remove unnecessary importJacky Li2014-12-041-1/+0
| | | | | | | | Author: Jacky Li <jacky.likun@huawei.com> Closes #3585 from jackylk/remove and squashes the following commits: 045423d [Jacky Li] remove unnecessary import
* [SPARK-4552][SQL] Avoid exception when reading empty parquet data through HiveMichael Armbrust2014-12-033-45/+62
| | | | | | | | | | | This is a very small fix that catches one specific exception and returns an empty table. #3441 will address this in a more principled way. Author: Michael Armbrust <michael@databricks.com> Closes #3586 from marmbrus/fixEmptyParquet and squashes the following commits: 2781d9f [Michael Armbrust] Handle empty lists for newParquet 04dd376 [Michael Armbrust] Avoid exception when reading empty parquet data through Hive
* [SPARK-4695][SQL] Get result using executeCollectwangfei2014-12-021-1/+3
| | | | | | | | | | | | | Using ```executeCollect``` to collect the result, because executeCollect is a custom implementation of collect in spark sql which better than rdd's collect Author: wangfei <wangfei1@huawei.com> Closes #3547 from scwf/executeCollect and squashes the following commits: a5ab68e [wangfei] Revert "adding debug info" a60d680 [wangfei] fix test failure 0db7ce8 [wangfei] adding debug info 184c594 [wangfei] using executeCollect instead collect
* [SPARK-4670] [SQL] wrong symbol for bitwise notDaoyuan Wang2014-12-022-10/+25
| | | | | | | | | | | | We should use `~` instead of `-` for bitwise NOT. Author: Daoyuan Wang <daoyuan.wang@intel.com> Closes #3528 from adrian-wang/symbol and squashes the following commits: affd4ad [Daoyuan Wang] fix code gen test case 56efb79 [Daoyuan Wang] ensure bitwise NOT over byte and short persist data type f55fbae [Daoyuan Wang] wrong symbol for bitwise not
* [SPARK-4593][SQL] Return null when denominator is 0Daoyuan Wang2014-12-024-5/+83
| | | | | | | | | | | | | | | | | | | | | SELECT max(1/0) FROM src would return a very large number, which is obviously not right. For hive-0.12, hive would return `Infinity` for 1/0, while for hive-0.13.1, it is `NULL` for 1/0. I think it is better to keep our behavior with newer Hive version. This PR ensures that when the divider is 0, the result of expression should be NULL, same with hive-0.13.1 Author: Daoyuan Wang <daoyuan.wang@intel.com> Closes #3443 from adrian-wang/div and squashes the following commits: 2e98677 [Daoyuan Wang] fix code gen for divide 0 85c28ba [Daoyuan Wang] temp 36236a5 [Daoyuan Wang] add test cases 6f5716f [Daoyuan Wang] fix comments cee92bd [Daoyuan Wang] avoid evaluation 2 times 22ecd9a [Daoyuan Wang] fix style cf28c58 [Daoyuan Wang] divide fix 2dfe50f [Daoyuan Wang] return null when divider is 0 of Double type
* [SPARK-4676][SQL] JavaSchemaRDD.schema may throw NullType MatchError if sql ↵YanTangZhai2014-12-025-0/+59
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | has null val jsc = new org.apache.spark.api.java.JavaSparkContext(sc) val jhc = new org.apache.spark.sql.hive.api.java.JavaHiveContext(jsc) val nrdd = jhc.hql("select null from spark_test.for_test") println(nrdd.schema) Then the error is thrown as follows: scala.MatchError: NullType (of class org.apache.spark.sql.catalyst.types.NullType$) at org.apache.spark.sql.types.util.DataTypeConversions$.asJavaDataType(DataTypeConversions.scala:43) Author: YanTangZhai <hakeemzhai@tencent.com> Author: yantangzhai <tyz0303@163.com> Author: Michael Armbrust <michael@databricks.com> Closes #3538 from YanTangZhai/MatchNullType and squashes the following commits: e052dff [yantangzhai] [SPARK-4676] [SQL] JavaSchemaRDD.schema may throw NullType MatchError if sql has null 4b4bb34 [yantangzhai] [SPARK-4676] [SQL] JavaSchemaRDD.schema may throw NullType MatchError if sql has null 896c7b7 [yantangzhai] fix NullType MatchError in JavaSchemaRDD when sql has null 6e643f8 [YanTangZhai] Merge pull request #11 from apache/master e249846 [YanTangZhai] Merge pull request #10 from apache/master d26d982 [YanTangZhai] Merge pull request #9 from apache/master 76d4027 [YanTangZhai] Merge pull request #8 from apache/master 03b62b0 [YanTangZhai] Merge pull request #7 from apache/master 8a00106 [YanTangZhai] Merge pull request #6 from apache/master cbcba66 [YanTangZhai] Merge pull request #3 from apache/master cdef539 [YanTangZhai] Merge pull request #1 from apache/master
* [SPARK-4663][sql]add finally to avoid resource leakbaishuo2014-12-021-4/+7
| | | | | | | | | | Author: baishuo <vc_java@hotmail.com> Closes #3526 from baishuo/master-trycatch and squashes the following commits: d446e14 [baishuo] correct the code style b36bf96 [baishuo] correct the code style ae0e447 [baishuo] add finally to avoid resource leak
* [SPARK-4536][SQL] Add sqrt and abs to Spark SQL DSLKousuke Saruta2014-12-024-1/+74
| | | | | | | | | | | | | Spark SQL has embeded sqrt and abs but DSL doesn't support those functions. Author: Kousuke Saruta <sarutak@oss.nttdata.co.jp> Closes #3401 from sarutak/dsl-missing-operator and squashes the following commits: 07700cf [Kousuke Saruta] Modified Literal(null, NullType) to Literal(null) in DslQuerySuite 8f366f8 [Kousuke Saruta] Merge branch 'master' of git://git.apache.org/spark into dsl-missing-operator 1b88e2e [Kousuke Saruta] Merge branch 'master' of git://git.apache.org/spark into dsl-missing-operator 0396f89 [Kousuke Saruta] Added sqrt and abs to Spark SQL DSL
* Indent license header properly for interfaces.scala.Reynold Xin2014-12-021-17/+15
| | | | | | | | | | A very small nit update. Author: Reynold Xin <rxin@databricks.com> Closes #3552 from rxin/license-header and squashes the following commits: df8d1a4 [Reynold Xin] Indent license header properly for interfaces.scala.
* [SPARK-4268][SQL] Use #::: to get benefit from Stream in ↵zsxwing2014-12-011-2/+2
| | | | | | | | | | | | SqlLexical.allCaseVersions In addition, using `s.isEmpty` to eliminate the string comparison. Author: zsxwing <zsxwing@gmail.com> Closes #3132 from zsxwing/SPARK-4268 and squashes the following commits: 358e235 [zsxwing] Improvement of allCaseVersions
* [SPARK-4529] [SQL] support view with column aliasDaoyuan Wang2014-12-012-3/+3
| | | | | | | | | | | | | | | | Support view definition like CREATE VIEW view3(valoo) TBLPROPERTIES ("fear" = "factor") AS SELECT upper(value) FROM src WHERE key=86; [valoo as the alias of upper(value)]. This is missing part of SPARK-4239, for a fully view support. Author: Daoyuan Wang <daoyuan.wang@intel.com> Closes #3396 from adrian-wang/viewcolumn and squashes the following commits: 4d001d0 [Daoyuan Wang] support view with column alias
* [SQL] Minor fix for doc and commentwangfei2014-12-011-1/+1
| | | | | | | | Author: wangfei <wangfei1@huawei.com> Closes #3533 from scwf/sql-doc1 and squashes the following commits: 962910b [wangfei] doc and comment fix
* [SPARK-4658][SQL] Code documentation issue in DDL of datasource APIravipesala2014-12-012-3/+3
| | | | | | | | | Author: ravipesala <ravindra.pesala@huawei.com> Closes #3516 from ravipesala/ddl_doc and squashes the following commits: d101fdf [ravipesala] Style issues fixed d2238cd [ravipesala] Corrected documentation
* [SPARK-4650][SQL] Supporting multi column support in countDistinct function ↵ravipesala2014-12-012-1/+9
| | | | | | | | | | | | | | like count(distinct c1,c2..) in Spark SQL Supporting multi column support in countDistinct function like count(distinct c1,c2..) in Spark SQL Author: ravipesala <ravindra.pesala@huawei.com> Author: Michael Armbrust <michael@databricks.com> Closes #3511 from ravipesala/countdistinct and squashes the following commits: cc4dbb1 [ravipesala] style 070e12a [ravipesala] Supporting multi column support in count(distinct c1,c2..) in Spark SQL
* [SPARK-4358][SQL] Let BigDecimal do checking type compatibilityLiang-Chi Hsieh2014-12-011-8/+3
| | | | | | | | | | | | | | Remove hardcoding max and min values for types. Let BigDecimal do checking type compatibility. Author: Liang-Chi Hsieh <viirya@gmail.com> Closes #3208 from viirya/more_numericLit and squashes the following commits: e9834b4 [Liang-Chi Hsieh] Remove byte and short types for number literal. 1bd1825 [Liang-Chi Hsieh] Fix Indentation and make the modification clearer. cf1a997 [Liang-Chi Hsieh] Modified for comment to add a rule of analysis that adds a cast. 91fe489 [Liang-Chi Hsieh] add Byte and Short. 1bdc69d [Liang-Chi Hsieh] Let BigDecimal do checking type compatibility.
* [SQL] add @group tab in limit() and count()Jacky Li2014-12-011-0/+4
| | | | | | | | | | group tab is missing for scaladoc Author: Jacky Li <jacky.likun@gmail.com> Closes #3458 from jackylk/patch-7 and squashes the following commits: 0121a70 [Jacky Li] add @group tab in limit() and count()
* [SPARK-4661][Core] Minor code and docs cleanupzsxwing2014-12-011-1/+1
| | | | | | | | Author: zsxwing <zsxwing@gmail.com> Closes #3521 from zsxwing/SPARK-4661 and squashes the following commits: 03cbe3f [zsxwing] Minor code and docs cleanup
* [SPARK-4645][SQL] Disables asynchronous execution in Hive 0.13.1 ↵Cheng Lian2014-11-281-100/+39
| | | | | | | | | | | | | | | | HiveThriftServer2 This PR disables HiveThriftServer2 asynchronous execution by setting `runInBackground` argument in `ExecuteStatementOperation` to `false`, and reverting `SparkExecuteStatementOperation.run` in Hive 13 shim to Hive 12 version. This change makes Simba ODBC driver v1.0.0.1000 work. <!-- Reviewable:start --> [<img src="https://reviewable.io/review_button.png" height=40 alt="Review on Reviewable"/>](https://reviewable.io/reviews/apache/spark/3506) <!-- Reviewable:end --> Author: Cheng Lian <lian@databricks.com> Closes #3506 from liancheng/disable-async-exec and squashes the following commits: 593804d [Cheng Lian] Disables asynchronous execution in Hive 0.13.1 HiveThriftServer2
* [SQL] Compute timeTaken correctlyw002289702014-11-241-7/+4
| | | | | | | | | | ```timeTaken``` should not count the time of printing result. Author: w00228970 <wangfei1@huawei.com> Closes #3423 from scwf/time-taken-bug and squashes the following commits: da7e102 [w00228970] compute time taken correctly
* [SPARK-4548] []SPARK-4517] improve performance of python broadcastDavies Liu2014-11-242-3/+4
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | Re-implement the Python broadcast using file: 1) serialize the python object using cPickle, write into disks. 2) Create a wrapper in JVM (for the dumped file), it read data from during serialization 3) Using TorrentBroadcast or HttpBroadcast to transfer the data (compressed) into executors 4) During deserialization, writing the data into disk. 5) Passing the path into Python worker, read data from disk and unpickle it into python object, until the first access. It fixes the performance regression introduced in #2659, has similar performance as 1.1, but support object larger than 2G, also improve the memory efficiency (only one compressed copy in driver and executor). Testing with a 500M broadcast and 4 tasks (excluding the benefit from reused worker in 1.2): name | 1.1 | 1.2 with this patch | improvement ---------|--------|---------|-------- python-broadcast-w-bytes | 25.20 | 9.33 | 170.13% | python-broadcast-w-set | 4.13 | 4.50 | -8.35% | Testing with 100 tasks (16 CPUs): name | 1.1 | 1.2 with this patch | improvement ---------|--------|---------|-------- python-broadcast-w-bytes | 38.16 | 8.40 | 353.98% python-broadcast-w-set | 23.29 | 9.59 | 142.80% Author: Davies Liu <davies@databricks.com> Closes #3417 from davies/pybroadcast and squashes the following commits: 50a58e0 [Davies Liu] address comments b98de1d [Davies Liu] disable gc while unpickle e5ee6b9 [Davies Liu] support large string 09303b8 [Davies Liu] read all data into memory dde02dd [Davies Liu] improve performance of python broadcast
* [SPARK-4487][SQL] Fix attribute reference resolution error when using ORDER BY.Kousuke Saruta2014-11-242-1/+8
| | | | | | | | | | | | | | | | | | | | | When we use ORDER BY clause, at first, attributes referenced by projection are resolved (1). And then, attributes referenced at ORDER BY clause are resolved (2). But when resolving attributes referenced at ORDER BY clause, the resolution result generated in (1) is discarded so for example, following query fails. SELECT c1 + c2 FROM mytable ORDER BY c1; The query above fails because when resolving the attribute reference 'c1', the resolution result of 'c2' is discarded. Author: Kousuke Saruta <sarutak@oss.nttdata.co.jp> Closes #3363 from sarutak/SPARK-4487 and squashes the following commits: fd314f3 [Kousuke Saruta] Fixed attribute resolution logic in Analyzer 6e60c20 [Kousuke Saruta] Fixed conflicts cb5b7e9 [Kousuke Saruta] Added test case for SPARK-4487 282d529 [Kousuke Saruta] Fixed attributes reference resolution error b6123e6 [Kousuke Saruta] Merge branch 'master' of git://git.apache.org/spark into concat-feature 317b7fb [Kousuke Saruta] WIP
* [SQL] Fix comment in HiveShimDaniel Darabos2014-11-241-1/+1
| | | | | | | | | | This file is for Hive 0.13.1 I think. Author: Daniel Darabos <darabos.daniel@gmail.com> Closes #3432 from darabos/patch-2 and squashes the following commits: 4fd22ed [Daniel Darabos] Fix comment. This file is for Hive 0.13.1.
* [SPARK-4479][SQL] Avoids unnecessary defensive copies when sort based ↵Cheng Lian2014-11-241-1/+15
| | | | | | | | | | | | | | | | | | | | | | shuffle is on This PR is a workaround for SPARK-4479. Two changes are introduced: when merge sort is bypassed in `ExternalSorter`, 1. also bypass RDD elements buffering as buffering is the reason that `MutableRow` backed row objects must be copied, and 2. avoids defensive copies in `Exchange` operator <!-- Reviewable:start --> [<img src="https://reviewable.io/review_button.png" height=40 alt="Review on Reviewable"/>](https://reviewable.io/reviews/apache/spark/3422) <!-- Reviewable:end --> Author: Cheng Lian <lian@databricks.com> Closes #3422 from liancheng/avoids-defensive-copies and squashes the following commits: 591f2e9 [Cheng Lian] Passes all shuffle suites 0c3c91e [Cheng Lian] Fixes shuffle write metrics when merge sort is bypassed ed5df3c [Cheng Lian] Fixes styling changes f75089b [Cheng Lian] Avoids unnecessary defensive copies when sort based shuffle is on
* [SPARK-4522][SQL] Parse schema with missing metadata.Michael Armbrust2014-11-201-0/+6
| | | | | | | | | | This is just a quick fix for 1.2. SPARK-4523 describes a more complete solution. Author: Michael Armbrust <michael@databricks.com> Closes #3392 from marmbrus/parquetMetadata and squashes the following commits: bcc6626 [Michael Armbrust] Parse schema with missing metadata.
* [SPARK-4413][SQL] Parquet support through datasource APIMichael Armbrust2014-11-205-79/+458
| | | | | | | | | | | | | | | | | | | Goals: - Support for accessing parquet using SQL but not requiring Hive (thus allowing support of parquet tables with decimal columns) - Support for folder based partitioning with automatic discovery of available partitions - Caching of file metadata See scaladoc of `ParquetRelation2` for more details. Author: Michael Armbrust <michael@databricks.com> Closes #3269 from marmbrus/newParquet and squashes the following commits: 1dd75f1 [Michael Armbrust] Pass all paths for FileInputFormat at once. 645768b [Michael Armbrust] Review comments. abd8e2f [Michael Armbrust] Alternative implementation of parquet based on the datasources API. 938019e [Michael Armbrust] Add an experimental interface to data sources that exposes catalyst expressions. e9d2641 [Michael Armbrust] logging / formatting improvements.
* [SPARK-4244] [SQL] Support Hive Generic UDFs with constant object inspector ↵Cheng Hao2014-11-204-8/+17
| | | | | | | | | | | | | | parameters Query `SELECT named_struct(lower("AA"), "12", lower("Bb"), "13") FROM src LIMIT 1` will throw exception, some of the Hive Generic UDF/UDAF requires the input object inspector is `ConstantObjectInspector`, however, we won't get that before the expression optimization executed. (Constant Folding). This PR is a work around to fix this. (As ideally, the `output` of LogicalPlan should be identical before and after Optimization). Author: Cheng Hao <hao.cheng@intel.com> Closes #3109 from chenghao-intel/optimized and squashes the following commits: 487ff79 [Cheng Hao] rebase to the latest master & update the unittest
* [SQL] fix function description mistakeJacky Li2014-11-201-1/+1
| | | | | | | | | | Sample code in the description of SchemaRDD.where is not correct Author: Jacky Li <jacky.likun@gmail.com> Closes #3344 from jackylk/patch-6 and squashes the following commits: 62cd126 [Jacky Li] [SQL] fix function description mistake
* [SPARK-2918] [SQL] Support the CTAS in EXPLAIN commandCheng Hao2014-11-202-1/+41
| | | | | | | | | | Hive supports the `explain` the CTAS, which was supported by Spark SQL previously, however, seems it was reverted after the code refactoring in HiveQL. Author: Cheng Hao <hao.cheng@intel.com> Closes #3357 from chenghao-intel/explain and squashes the following commits: 7aace63 [Cheng Hao] Support the CTAS in EXPLAIN command
* [SPARK-4318][SQL] Fix empty sum distinct.Takuya UESHIN2014-11-204-52/+195
| | | | | | | | | | | | | | | | | | | Executing sum distinct for empty table throws `java.lang.UnsupportedOperationException: empty.reduceLeft`. Author: Takuya UESHIN <ueshin@happy-camper.st> Closes #3184 from ueshin/issues/SPARK-4318 and squashes the following commits: 8168c42 [Takuya UESHIN] Merge branch 'master' into issues/SPARK-4318 66fdb0a [Takuya UESHIN] Re-refine aggregate functions. 6186eb4 [Takuya UESHIN] Fix Sum of GeneratedAggregate. d2975f6 [Takuya UESHIN] Refine Sum and Average of GeneratedAggregate. 1bba675 [Takuya UESHIN] Refine Sum, SumDistinct and Average functions. 917e533 [Takuya UESHIN] Use aggregate instead of groupBy(). 1a5f874 [Takuya UESHIN] Add tests to be executed as non-partial aggregation. a5a57d2 [Takuya UESHIN] Fix empty Average. 22799dc [Takuya UESHIN] Fix empty Sum and SumDistinct. 65b7dd2 [Takuya UESHIN] Fix empty sum distinct.
* [SPARK-4513][SQL] Support relational operator '<=>' in Spark SQLravipesala2014-11-203-1/+14
| | | | | | | | | | The relational operator '<=>' is not working in Spark SQL. Same works in Spark HiveQL Author: ravipesala <ravindra.pesala@huawei.com> Closes #3387 from ravipesala/<=> and squashes the following commits: 7198e90 [ravipesala] Supporting relational operator '<=>' in Spark SQL
* [SPARK-4228][SQL] SchemaRDD to JSONDan McClary2014-11-204-3/+208
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | Here's a simple fix for SchemaRDD to JSON. Author: Dan McClary <dan.mcclary@gmail.com> Closes #3213 from dwmclary/SPARK-4228 and squashes the following commits: d714e1d [Dan McClary] fixed PEP 8 error cac2879 [Dan McClary] move pyspark comment and doctest to correct location f9471d3 [Dan McClary] added pyspark doc and doctest 6598cee [Dan McClary] adding complex type queries 1a5fd30 [Dan McClary] removing SPARK-4228 from SQLQuerySuite 4a651f0 [Dan McClary] cleaned PEP and Scala style failures. Moved tests to JsonSuite 47ceff6 [Dan McClary] cleaned up scala style issues 2ee1e70 [Dan McClary] moved rowToJSON to JsonRDD 4387dd5 [Dan McClary] Added UserDefinedType, cleaned up case formatting 8f7bfb6 [Dan McClary] Map type added to SchemaRDD.toJSON 1b11980 [Dan McClary] Map and UserDefinedTypes partially done 11d2016 [Dan McClary] formatting and unicode deserialization default fixed 6af72d1 [Dan McClary] deleted extaneous comment 4d11c0c [Dan McClary] JsonFactory rewrite of toJSON for SchemaRDD 149dafd [Dan McClary] wrapped scala toJSON in sql.py 5e5eb1b [Dan McClary] switched to Jackson for JSON processing 6c94a54 [Dan McClary] added toJSON to pyspark SchemaRDD aaeba58 [Dan McClary] added toJSON to pyspark SchemaRDD 1d171aa [Dan McClary] upated missing brace on if statement 319e3ba [Dan McClary] updated to upstream master with merged SPARK-4228 424f130 [Dan McClary] tests pass, ready for pull and PR 626a5b1 [Dan McClary] added toJSON to SchemaRDD f7d166a [Dan McClary] added toJSON method 5d34e37 [Dan McClary] merge resolved d6d19e9 [Dan McClary] pr example
* [SPARK-3938][SQL] Names in-memory columnar RDD with corresponding table nameCheng Lian2014-11-206-16/+23
| | | | | | | | | | | | | | | | | | | | | | | | This PR enables the Web UI storage tab to show the in-memory table name instead of the mysterious query plan string as the name of the in-memory columnar RDD. Note that after #2501, a single columnar RDD can be shared by multiple in-memory tables, as long as their query results are the same. In this case, only the first cached table name is shown. For example: ```sql CACHE TABLE first AS SELECT * FROM src; CACHE TABLE second AS SELECT * FROM src; ``` The Web UI only shows "In-memory table first". <!-- Reviewable:start --> [<img src="https://reviewable.io/review_button.png" height=40 alt="Review on Reviewable"/>](https://reviewable.io/reviews/apache/spark/3383) <!-- Reviewable:end --> Author: Cheng Lian <lian@databricks.com> Closes #3383 from liancheng/columnar-rdd-name and squashes the following commits: 071907f [Cheng Lian] Fixes tests 12ddfa6 [Cheng Lian] Names in-memory columnar RDD with corresponding table name
* Bumping version to 1.3.0-SNAPSHOT.Marcelo Vanzin2014-11-184-4/+4
| | | | | | | | | | | | Author: Marcelo Vanzin <vanzin@cloudera.com> Closes #3277 from vanzin/version-1.3 and squashes the following commits: 7c3c396 [Marcelo Vanzin] Added temp repo to sbt build. 5f404ff [Marcelo Vanzin] Add another exclusion. 19457e7 [Marcelo Vanzin] Update old version to 1.2, add temporary 1.2 repo. 3c8d705 [Marcelo Vanzin] Workaround for MIMA checks. e940810 [Marcelo Vanzin] Bumping version to 1.3.0-SNAPSHOT.
* [SPARK-4468][SQL] Fixes Parquet filter creation for inequality predicates ↵Cheng Lian2014-11-182-4/+16
| | | | | | | | | | | | | | | | | | with literals on the left hand side For expressions like `10 < someVar`, we should create an `Operators.Gt` filter, but right now an `Operators.Lt` is created. This issue affects all inequality predicates with literals on the left hand side. (This bug existed before #3317 and affects branch-1.1. #3338 was opened to backport this to branch-1.1.) <!-- Reviewable:start --> [<img src="https://reviewable.io/review_button.png" height=40 alt="Review on Reviewable"/>](https://reviewable.io/reviews/apache/spark/3334) <!-- Reviewable:end --> Author: Cheng Lian <lian@databricks.com> Closes #3334 from liancheng/fix-parquet-comp-filter and squashes the following commits: 0130897 [Cheng Lian] Fixes Parquet comparison filter generation
* [SPARK-3721] [PySpark] broadcast objects larger than 2GDavies Liu2014-11-182-2/+2
| | | | | | | | | | | | | | | | | | | | | | | | | | | This patch will bring support for broadcasting objects larger than 2G. pickle, zlib, FrameSerializer and Array[Byte] all can not support objects larger than 2G, so this patch introduce LargeObjectSerializer to serialize broadcast objects, the object will be serialized and compressed into small chunks, it also change the type of Broadcast[Array[Byte]]] into Broadcast[Array[Array[Byte]]]]. Testing for support broadcast objects larger than 2G is slow and memory hungry, so this is tested manually, could be added into SparkPerf. Author: Davies Liu <davies@databricks.com> Author: Davies Liu <davies.liu@gmail.com> Closes #2659 from davies/huge and squashes the following commits: 7b57a14 [Davies Liu] add more tests for broadcast 28acff9 [Davies Liu] Merge branch 'master' of github.com:apache/spark into huge a2f6a02 [Davies Liu] bug fix 4820613 [Davies Liu] Merge branch 'master' of github.com:apache/spark into huge 5875c73 [Davies Liu] address comments 10a349b [Davies Liu] address comments 0c33016 [Davies Liu] Merge branch 'master' of github.com:apache/spark into huge 6182c8f [Davies Liu] Merge branch 'master' into huge d94b68f [Davies Liu] Merge branch 'master' of github.com:apache/spark into huge 2514848 [Davies Liu] address comments fda395b [Davies Liu] Merge branch 'master' of github.com:apache/spark into huge 1c2d928 [Davies Liu] fix scala style 091b107 [Davies Liu] broadcast objects larger than 2G
* [SQL] Support partitioned parquet tables that have the key in both the ↵Michael Armbrust2014-11-182-68/+108
| | | | | | | | | | directory and the file Author: Michael Armbrust <michael@databricks.com> Closes #3272 from marmbrus/keyInPartitionedTable and squashes the following commits: 447f08c [Michael Armbrust] Support partitioned parquet tables that have the key in both the directory and the file
* [SPARK-4453][SPARK-4213][SQL] Simplifies Parquet filter generation codeCheng Lian2014-11-175-693/+161
| | | | | | | | | | | | | | | | | | | While reviewing PR #3083 and #3161, I noticed that Parquet record filter generation code can be simplified significantly according to the clue stated in [SPARK-4453](https://issues.apache.org/jira/browse/SPARK-4213). This PR addresses both SPARK-4453 and SPARK-4213 with this simplification. While generating `ParquetTableScan` operator, we need to remove all Catalyst predicates that have already been pushed down to Parquet. Originally, we first generate the record filter, and then call `findExpression` to traverse the generated filter to find out all pushed down predicates [[1](https://github.com/apache/spark/blob/64c6b9bad559c21f25cd9fbe37c8813cdab939f2/sql/core/src/main/scala/org/apache/spark/sql/execution/SparkStrategies.scala#L213-L228)]. In this way, we have to introduce the `CatalystFilter` class hierarchy to bind the Catalyst predicates together with their generated Parquet filter, and complicate the code base a lot. The basic idea of this PR is that, we don't need `findExpression` after filter generation, because we already know a predicate can be pushed down if we can successfully generate its corresponding Parquet filter. SPARK-4213 is fixed by returning `None` for any unsupported predicate type. <!-- Reviewable:start --> [<img src="https://reviewable.io/review_button.png" height=40 alt="Review on Reviewable"/>](https://reviewable.io/reviews/apache/spark/3317) <!-- Reviewable:end --> Author: Cheng Lian <lian@databricks.com> Closes #3317 from liancheng/simplify-parquet-filters and squashes the following commits: d6a9499 [Cheng Lian] Fixes import styling issue 43760e8 [Cheng Lian] Simplifies Parquet filter generation logic
* [SPARK-4448] [SQL] unwrap for the ConstantObjectInspectorCheng Hao2014-11-171-4/+32
| | | | | | | | | Author: Cheng Hao <hao.cheng@intel.com> Closes #3308 from chenghao-intel/unwrap_constant_oi and squashes the following commits: 156b500 [Cheng Hao] rebase the master c5b20ab [Cheng Hao] unwrap for the ConstantObjectInspector
* [SPARK-4443][SQL] Fix statistics for external table in spark sql hivew002289702014-11-173-3/+12
| | | | | | | | | | 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-4309][SPARK-4407][SQL] Date type support for Thrift server, and fixes ↵Cheng Lian2014-11-174-114/+141
| | | | | | | | | | | | | | | | | | | | for complex types This PR is exactly the same as #3178 except it reverts the `FileStatus.isDir` to `FileStatus.isDirectory` change, since it doesn't compile with Hadoop 1. <!-- Reviewable:start --> [<img src="https://reviewable.io/review_button.png" height=40 alt="Review on Reviewable"/>](https://reviewable.io/reviews/apache/spark/3298) <!-- Reviewable:end --> Author: Cheng Lian <lian@databricks.com> Closes #3298 from liancheng/date-for-thriftserver and squashes the following commits: 866037e [Cheng Lian] Revers isDirectory to isDir (it breaks Hadoop 1 profile) 6f71d0b [Cheng Lian] Makes toHiveString static 26fa955 [Cheng Lian] Fixes complex type support in Hive 0.13.1 shim a92882a [Cheng Lian] Updates HiveShim for 0.13.1 73f442b [Cheng Lian] Adds Date support for HiveThriftServer2 (Hive 0.12.0)
* [SQL] Construct the MutableRow from an ArrayCheng Hao2014-11-171-2/+4
| | | | | | | | | | Author: Cheng Hao <hao.cheng@intel.com> Closes #3217 from chenghao-intel/mutablerow and squashes the following commits: e8a10bd [Cheng Hao] revert the change of Row object 4681aea [Cheng Hao] Add toMutableRow method in object Row a751838 [Cheng Hao] Construct the MutableRow from an existed row
* [SPARK-4425][SQL] Handle NaN or Infinity cast to Timestamp correctly.Takuya UESHIN2014-11-172-2/+17
| | | | | | | | | | `Cast` from `NaN` or `Infinity` of `Double` or `Float` to `TimestampType` throws `NumberFormatException`. Author: Takuya UESHIN <ueshin@happy-camper.st> Closes #3283 from ueshin/issues/SPARK-4425 and squashes the following commits: 14def0c [Takuya UESHIN] Fix Cast to be able to handle NaN or Infinity to TimestampType.
* [SPARK-4420][SQL] Change nullability of Cast from DoubleType/FloatType to ↵Takuya UESHIN2014-11-172-2/+14
| | | | | | | | | | | | | | DecimalType. This is follow-up of [SPARK-4390](https://issues.apache.org/jira/browse/SPARK-4390) (#3256). Author: Takuya UESHIN <ueshin@happy-camper.st> Closes #3278 from ueshin/issues/SPARK-4420 and squashes the following commits: 7fea558 [Takuya UESHIN] Add some tests. cb2301a [Takuya UESHIN] Fix tests. 133bad5 [Takuya UESHIN] Change nullability of Cast from DoubleType/FloatType to DecimalType.
* [SQL] Makes conjunction pushdown more aggressive for in-memory tableCheng Lian2014-11-172-5/+11
| | | | | | | | | | | | | | This is inspired by the [Parquet record filter generation code](https://github.com/apache/spark/blob/64c6b9bad559c21f25cd9fbe37c8813cdab939f2/sql/core/src/main/scala/org/apache/spark/sql/parquet/ParquetFilters.scala#L387-L400). <!-- Reviewable:start --> [<img src="https://reviewable.io/review_button.png" height=40 alt="Review on Reviewable"/>](https://reviewable.io/reviews/apache/spark/3318) <!-- Reviewable:end --> Author: Cheng Lian <lian@databricks.com> Closes #3318 from liancheng/aggresive-conj-pushdown and squashes the following commits: 78b69d2 [Cheng Lian] Makes conjunction pushdown more aggressive
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