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* [SPARK-2189][SQL] Adds dropTempTable APICheng Lian2014-11-023-0/+46
| | | | | | | | | | | | | This PR adds an API for unregistering temporary tables. If a temporary table has been cached before, it's unpersisted as well. Author: Cheng Lian <lian.cs.zju@gmail.com> Closes #3039 from liancheng/unregister-temp-table and squashes the following commits: 54ae99f [Cheng Lian] Fixes Scala styling issue 1948c14 [Cheng Lian] Removes the unpersist argument aca41d3 [Cheng Lian] Ensures thread safety 7d4fb2b [Cheng Lian] Adds unregisterTempTable API
* [SPARK-4185][SQL] JSON schema inference failed when dealing with type ↵Yin Huai2014-11-023-9/+20
| | | | | | | | | | | | | | conflicts in arrays JIRA: https://issues.apache.org/jira/browse/SPARK-4185. This PR also has the fix of #3052. Author: Yin Huai <huai@cse.ohio-state.edu> Closes #3056 from yhuai/SPARK-4185 and squashes the following commits: ed3a5a8 [Yin Huai] Correctly handle type conflicts between structs and primitive types in an array.
* [SPARK-4191][SQL]move wrapperFor to HiveInspectors to reuse itwangfei2014-11-022-43/+48
| | | | | | | | | | | | | | Move wrapperFor in InsertIntoHiveTable to HiveInspectors to reuse them, this method can be reused when writing date with ObjectInspector(such as orc support) Author: wangfei <wangfei1@huawei.com> Author: scwf <wangfei1@huawei.com> Closes #3057 from scwf/reuse-wraperfor and squashes the following commits: 7ccf932 [scwf] fix conflicts d44f4da [wangfei] fix imports 9bf1b50 [wangfei] revert no related change 9a5276a [wangfei] move wrapfor to hiveinspector to reuse them
* [SPARK-3791][SQL] Provides Spark version and Hive version in HiveThriftServer2Cheng Lian2014-11-026-112/+165
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | This PR overrides the `GetInfo` Hive Thrift API to provide correct version information. Another property `spark.sql.hive.version` is added to reveal the underlying Hive version. These are generally useful for Spark SQL ODBC driver providers. The Spark version information is extracted from the jar manifest. Also took the chance to remove the `SET -v` hack, which was a workaround for Simba ODBC driver connectivity. TODO - [x] Find a general way to figure out Hive (or even any dependency) version. This [blog post](http://blog.soebes.de/blog/2014/01/02/version-information-into-your-appas-with-maven/) suggests several methods to inspect application version. In the case of Spark, this can be tricky because the chosen method: 1. must applies to both Maven build and SBT build For Maven builds, we can retrieve the version information from the META-INF/maven directory within the assembly jar. But this doesn't work for SBT builds. 2. must not rely on the original jars of dependencies to extract specific dependency version, because Spark uses assembly jar. This implies we can't read Hive version from Hive jar files since standard Spark distribution doesn't include them. 3. should play well with `SPARK_PREPEND_CLASSES` to ease local testing during development. `SPARK_PREPEND_CLASSES` prevents classes to be loaded from the assembly jar, thus we can't locate the jar file and read its manifest. Given these, maybe the only reliable method is to generate a source file containing version information at build time. pwendell Do you have any suggestions from the perspective of the build process? **Update** Hive version is now retrieved from the newly introduced `HiveShim` object. Author: Cheng Lian <lian.cs.zju@gmail.com> Author: Cheng Lian <lian@databricks.com> Closes #2843 from liancheng/get-info and squashes the following commits: a873d0f [Cheng Lian] Updates test case 53f43cd [Cheng Lian] Retrieves underlying Hive verson via HiveShim 1d282b8 [Cheng Lian] Removes the Simba ODBC "SET -v" hack f857fce [Cheng Lian] Overrides Hive GetInfo Thrift API and adds Hive version property
* [SQL] Fixes race condition in CliSuiteCheng Lian2014-11-021-20/+15
| | | | | | | | | | `CliSuite` has been flaky for a while, this PR tries to improve this situation by fixing a race condition in `CliSuite`. The `captureOutput` function is used to capture both stdout and stderr output of the forked external process in two background threads and search for expected strings, but wasn't been properly synchronized before. Author: Cheng Lian <lian@databricks.com> Closes #3060 from liancheng/fix-cli-suite and squashes the following commits: a70569c [Cheng Lian] Fixes race condition in CliSuite
* [SPARK-4182][SQL] Fixes ColumnStats classes for boolean, binary and complex ↵Cheng Lian2014-11-026-19/+82
| | | | | | | | | | | | | | | data types `NoopColumnStats` was once used for binary, boolean and complex data types. This `ColumnStats` doesn't return properly shaped column statistics and causes caching failure if a table contains columns of the aforementioned types. This PR adds `BooleanColumnStats`, `BinaryColumnStats` and `GenericColumnStats`, used for boolean, binary and all complex data types respectively. In addition, `NoopColumnStats` returns properly shaped column statistics containing null count and row count, but this class is now used for testing purpose only. Author: Cheng Lian <lian@databricks.com> Closes #3059 from liancheng/spark-4182 and squashes the following commits: b398cfd [Cheng Lian] Fixes failed test case fb3ee85 [Cheng Lian] Fixes SPARK-4182
* [SPARK-3247][SQL] An API for adding data sources to Spark SQLMichael Armbrust2014-11-0226-42/+1074
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | This PR introduces a new set of APIs to Spark SQL to allow other developers to add support for reading data from new sources in `org.apache.spark.sql.sources`. New sources must implement the interface `BaseRelation`, which is responsible for describing the schema of the data. BaseRelations have three `Scan` subclasses, which are responsible for producing an RDD containing row objects. The [various Scan interfaces](https://github.com/marmbrus/spark/blob/foreign/sql/core/src/main/scala/org/apache/spark/sql/sources/package.scala#L50) allow for optimizations such as column pruning and filter push down, when the underlying data source can handle these operations. By implementing a class that inherits from RelationProvider these data sources can be accessed using using pure SQL. I've used the functionality to update the JSON support so it can now be used in this way as follows: ```sql CREATE TEMPORARY TABLE jsonTableSQL USING org.apache.spark.sql.json OPTIONS ( path '/home/michael/data.json' ) ``` Further example usage can be found in the test cases: https://github.com/marmbrus/spark/tree/foreign/sql/core/src/test/scala/org/apache/spark/sql/sources There is also a library that uses this new API to read avro data available here: https://github.com/marmbrus/sql-avro Author: Michael Armbrust <michael@databricks.com> Closes #2475 from marmbrus/foreign and squashes the following commits: 1ed6010 [Michael Armbrust] Merge remote-tracking branch 'origin/master' into foreign ab2c31f [Michael Armbrust] fix test 1d41bb5 [Michael Armbrust] unify argument names 5b47901 [Michael Armbrust] Remove sealed, more filter types fab154a [Michael Armbrust] Merge remote-tracking branch 'origin/master' into foreign e3e690e [Michael Armbrust] Add hook for extraStrategies a70d602 [Michael Armbrust] Fix style, more tests, FilteredSuite => PrunedFilteredSuite 70da6d9 [Michael Armbrust] Modify API to ease binary compatibility and interop with Java 7d948ae [Michael Armbrust] Fix equality of AttributeReference. 5545491 [Michael Armbrust] Address comments 5031ac3 [Michael Armbrust] Merge remote-tracking branch 'origin/master' into foreign 22963ef [Michael Armbrust] package objects compile wierdly... b069146 [Michael Armbrust] traits => abstract classes 34f836a [Michael Armbrust] Make @DeveloperApi 0d74bcf [Michael Armbrust] Add documention on object life cycle 3e06776 [Michael Armbrust] remove line wraps de3b68c [Michael Armbrust] Remove empty file 360cb30 [Michael Armbrust] style and java api 2957875 [Michael Armbrust] add override 0fd3a07 [Michael Armbrust] Draft of data sources API
* [HOTFIX][SQL] hive test missing some golden fileswangfei2014-11-0215-0/+8
| | | | | | | | | | cc marmbrus Author: wangfei <wangfei1@huawei.com> Closes #3055 from scwf/hotfix and squashes the following commits: d881bd7 [wangfei] miss golden files
* [SPARK-3930] [SPARK-3933] Support fixed-precision decimal in SQL, and some ↵Matei Zaharia2014-11-0154-229/+1604
| | | | | | | | | | | | | | | | | | | | | | | | | 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-4037][SQL] Removes the SessionState instance created in HiveThriftServer2Cheng Lian2014-11-014-45/+44
| | | | | | | | | | | | | | | `HiveThriftServer2` creates a global singleton `SessionState` instance and overrides `HiveContext` to inject the `SessionState` object. This messes up `SessionState` initialization and causes problems. This PR replaces the global `SessionState` with `HiveContext.sessionState` to avoid the initialization conflict. Also `HiveContext` reuses existing started `SessionState` if any (this is required by `SparkSQLCLIDriver`, which uses specialized `CliSessionState`). Author: Cheng Lian <lian@databricks.com> Closes #2887 from liancheng/spark-4037 and squashes the following commits: 8446675 [Cheng Lian] Removes redundant Driver initialization a28fef5 [Cheng Lian] Avoid starting HiveContext.sessionState multiple times 49b1c5b [Cheng Lian] Reuses existing started SessionState if any 3cd6fab [Cheng Lian] Fixes SPARK-4037
* [SPARK-3569][SQL] Add metadata field to StructFieldXiangrui Meng2014-11-0119-52/+562
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | Add `metadata: Metadata` to `StructField` to store extra information of columns. `Metadata` is a simple wrapper over `Map[String, Any]` with value types restricted to Boolean, Long, Double, String, Metadata, and arrays of those types. SerDe is via JSON. Metadata is preserved through simple operations like `SELECT`. marmbrus liancheng Author: Xiangrui Meng <meng@databricks.com> Author: Michael Armbrust <michael@databricks.com> Closes #2701 from mengxr/structfield-metadata and squashes the following commits: dedda56 [Xiangrui Meng] merge remote 5ef930a [Xiangrui Meng] Merge remote-tracking branch 'apache/master' into structfield-metadata c35203f [Xiangrui Meng] Merge pull request #1 from marmbrus/pr/2701 886b85c [Michael Armbrust] Expose Metadata and MetadataBuilder through the public scala and java packages. 589f314 [Xiangrui Meng] Merge remote-tracking branch 'apache/master' into structfield-metadata 1e2abcf [Xiangrui Meng] change default value of metadata to None in python 611d3c2 [Xiangrui Meng] move metadata from Expr to NamedExpr ddfcfad [Xiangrui Meng] Merge remote-tracking branch 'apache/master' into structfield-metadata a438440 [Xiangrui Meng] Merge remote-tracking branch 'apache/master' into structfield-metadata 4266f4d [Xiangrui Meng] add StructField.toString back for backward compatibility 3f49aab [Xiangrui Meng] remove StructField.toString 24a9f80 [Xiangrui Meng] Merge remote-tracking branch 'apache/master' into structfield-metadata 473a7c5 [Xiangrui Meng] merge master c9d7301 [Xiangrui Meng] organize imports 1fcbf13 [Xiangrui Meng] change metadata type in StructField for Scala/Java 60cc131 [Xiangrui Meng] add doc and header 60614c7 [Xiangrui Meng] add metadata e42c452 [Xiangrui Meng] merge master 93518fb [Xiangrui Meng] support metadata in python 905bb89 [Xiangrui Meng] java conversions 618e349 [Xiangrui Meng] make tests work in scala 61b8e0f [Xiangrui Meng] merge master 7e5a322 [Xiangrui Meng] do not output metadata in StructField.toString c41a664 [Xiangrui Meng] merge master d8af0ed [Xiangrui Meng] move tests to SQLQuerySuite 67fdebb [Xiangrui Meng] add test on join d65072e [Xiangrui Meng] remove Map.empty 367d237 [Xiangrui Meng] add test c194d5e [Xiangrui Meng] add metadata field to StructField and Attribute
* [SPARK-2220][SQL] Fixes remaining Hive commandsCheng Lian2014-10-315-28/+45
| | | | | | | | | | This PR adds support for the `ADD FILE` Hive command, and removes `ShellCommand` and `SourceCommand`. The reason is described in [this SPARK-2220 comment](https://issues.apache.org/jira/browse/SPARK-2220?focusedCommentId=14191841&page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel#comment-14191841). Author: Cheng Lian <lian.cs.zju@gmail.com> Closes #3038 from liancheng/hive-commands and squashes the following commits: 6db61e0 [Cheng Lian] Fixes remaining Hive commands
* [SPARK-4154][SQL] Query does not work if it has "not between " in Spark SQL ↵ravipesala2014-10-314-6/+23
| | | | | | | | | | | | | | and HQL if the query contains "not between" does not work like. SELECT * FROM src where key not between 10 and 20' Author: ravipesala <ravindra.pesala@huawei.com> Closes #3017 from ravipesala/SPARK-4154 and squashes the following commits: 65fc89e [ravipesala] Handled admin comments 32e6d42 [ravipesala] 'not between' is not working
* [SPARK-4077][SQL] Spark SQL return wrong values for valid string timestamp ↵Venkata Ramana Gollamudi2014-10-313-0/+27
| | | | | | | | | | | | | | | | values In org.apache.hadoop.hive.serde2.io.TimestampWritable.set , if the next entry is null then current time stamp object is being reset. However because of this hiveinspectors:unwrap cannot use the same timestamp object without creating a copy. Author: Venkata Ramana G <ramana.gollamudihuawei.com> Author: Venkata Ramana Gollamudi <ramana.gollamudi@huawei.com> Closes #3019 from gvramana/spark_4077 and squashes the following commits: 32d818f [Venkata Ramana Gollamudi] fixed check style fa01e71 [Venkata Ramana Gollamudi] cloned timestamp object as org.apache.hadoop.hive.serde2.io.TimestampWritable.set will reset current time object
* [SPARK-3826][SQL]enable hive-thriftserver to support hive-0.13.1wangfei2014-10-318-188/+538
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | In #2241 hive-thriftserver is not enabled. This patch enable hive-thriftserver to support hive-0.13.1 by using a shim layer refer to #2241. 1 A light shim layer(code in sql/hive-thriftserver/hive-version) for each different hive version to handle api compatibility 2 New pom profiles "hive-default" and "hive-versions"(copy from #2241) to activate different hive version 3 SBT cmd for different version as follows: hive-0.12.0 --- sbt/sbt -Phive,hadoop-2.3 -Phive-0.12.0 assembly hive-0.13.1 --- sbt/sbt -Phive,hadoop-2.3 -Phive-0.13.1 assembly 4 Since hive-thriftserver depend on hive subproject, this patch should be merged with #2241 to enable hive-0.13.1 for hive-thriftserver Author: wangfei <wangfei1@huawei.com> Author: scwf <wangfei1@huawei.com> Closes #2685 from scwf/shim-thriftserver1 and squashes the following commits: f26f3be [wangfei] remove clean to save time f5cac74 [wangfei] remove local hivecontext test 578234d [wangfei] use new shaded hive 18fb1ff [wangfei] exclude kryo in hive pom fa21d09 [wangfei] clean package assembly/assembly 8a4daf2 [wangfei] minor fix 0d7f6cf [wangfei] address comments f7c93ae [wangfei] adding build with hive 0.13 before running tests bcf943f [wangfei] Merge branch 'master' of https://github.com/apache/spark into shim-thriftserver1 c359822 [wangfei] reuse getCommandProcessor in hiveshim 52674a4 [scwf] sql/hive included since examples depend on it 3529e98 [scwf] move hive module to hive profile f51ff4e [wangfei] update and fix conflicts f48d3a5 [scwf] Merge branch 'master' of https://github.com/apache/spark into shim-thriftserver1 41f727b [scwf] revert pom changes 13afde0 [scwf] fix small bug 4b681f4 [scwf] enable thriftserver in profile hive-0.13.1 0bc53aa [scwf] fixed when result filed is null dfd1c63 [scwf] update run-tests to run hive-0.12.0 default now c6da3ce [scwf] Merge branch 'master' of https://github.com/apache/spark into shim-thriftserver 7c66b8e [scwf] update pom according spark-2706 ae47489 [scwf] update and fix conflicts
* [SPARK-4143] [SQL] Move inner class DeferredObjectAdapter to top levelCheng Hao2014-10-301-13/+12
| | | | | | | | | | The class DeferredObjectAdapter is the inner class of HiveGenericUdf, which may cause some overhead in closure ser/de-ser. Move it to top level. Author: Cheng Hao <hao.cheng@intel.com> Closes #3007 from chenghao-intel/move_deferred and squashes the following commits: 3a139b1 [Cheng Hao] Move inner class DeferredObjectAdapter to top level
* [SPARK-4108][SQL] Fixed usage of deprecated in sql/catalyst/types/datatypesAnant2014-10-301-1/+1
| | | | | | | | | | Fixed usage of deprecated in sql/catalyst/types/datatypes to have versio...n parameter Author: Anant <anant.asty@gmail.com> Closes #2970 from anantasty/SPARK-4108 and squashes the following commits: e92cb01 [Anant] Fixed usage of deprecated in sql/catalyst/types/datatypes to have version parameter
* Revert "SPARK-1209 [CORE] SparkHadoop{MapRed,MapReduce}Util should not use ↵Andrew Or2014-10-302-2/+0
| | | | | | package org.apache.hadoop" This reverts commit 68cb69daf3022e973422e496ccf827ca3806ff30.
* [SPARK-3968][SQL] Use parquet-mr filter2 apiYash Datta2014-10-304-178/+307
| | | | | | | | | | | | | | | | | | | | | The parquet-mr project has introduced a new filter api (https://github.com/apache/incubator-parquet-mr/pull/4), along with several fixes . It can also eliminate entire RowGroups depending on certain statistics like min/max We can leverage that to further improve performance of queries with filters. Also filter2 api introduces ability to create custom filters. We can create a custom filter for the optimized In clause (InSet) , so that elimination happens in the ParquetRecordReader itself Author: Yash Datta <Yash.Datta@guavus.com> Closes #2841 from saucam/master and squashes the following commits: 8282ba0 [Yash Datta] SPARK-3968: fix scala code style and add some more tests for filtering on optional columns 515df1c [Yash Datta] SPARK-3968: Add a test case for filter pushdown on optional column 5f4530e [Yash Datta] SPARK-3968: Fix scala code style f304667 [Yash Datta] SPARK-3968: Using task metadata strategy for row group filtering ec53e92 [Yash Datta] SPARK-3968: No push down should result in case we are unable to create a record filter 48163c3 [Yash Datta] SPARK-3968: Code cleanup cc7b596 [Yash Datta] SPARK-3968: 1. Fix RowGroupFiltering not working 2. Use the serialization/deserialization from Parquet library for filter pushdown caed851 [Yash Datta] Revert "SPARK-3968: Not pushing the filters in case of OPTIONAL columns" since filtering on optional columns is now supported in filter2 api 49703c9 [Yash Datta] SPARK-3968: Not pushing the filters in case of OPTIONAL columns 9d09741 [Yash Datta] SPARK-3968: Change parquet filter pushdown to use filter2 api of parquet-mr
* [SPARK-4120][SQL] Join of multiple tables with syntax like SELECT .. FROM ↵ravipesala2014-10-302-1/+12
| | | | | | | | | | | | | | | | T1,T2,T3.. does not work in SparkSQL Right now it works for only 2 tables like below query. sql("SELECT * FROM records1 as a,records2 as b where a.key=b.key ") But it does not work for more than 2 tables like below query sql("SELECT * FROM records1 as a,records2 as b,records3 as c where a.key=b.key and a.key=c.key"). Author: ravipesala <ravindra.pesala@huawei.com> Closes #2987 from ravipesala/multijoin and squashes the following commits: 429b005 [ravipesala] Support multiple joins
* SPARK-1209 [CORE] SparkHadoop{MapRed,MapReduce}Util should not use package ↵Sean Owen2014-10-302-0/+2
| | | | | | | | | | | | | org.apache.hadoop (This is just a look at what completely moving the classes would look like. I know Patrick flagged that as maybe not OK, although, it's private?) Author: Sean Owen <sowen@cloudera.com> Closes #2814 from srowen/SPARK-1209 and squashes the following commits: ead1115 [Sean Owen] Disable MIMA warnings resulting from moving the class -- this was also part of the PairRDDFunctions type hierarchy though? 2d42c1d [Sean Owen] Move SparkHadoopMapRedUtil / SparkHadoopMapReduceUtil from org.apache.hadoop to org.apache.spark
* [SPARK-4003] [SQL] add 3 types for java SQL contextDaoyuan Wang2014-10-293-5/+59
| | | | | | | | | | | | In JavaSqlContext, we need to let java program use big decimal, timestamp, date types. Author: Daoyuan Wang <daoyuan.wang@intel.com> Closes #2850 from adrian-wang/javacontext and squashes the following commits: 4c4292c [Daoyuan Wang] change underlying type of JavaSchemaRDD as scala bb0508f [Daoyuan Wang] add test cases 3c58b0d [Daoyuan Wang] add 3 types for java SQL context
* [SPARK-4133] [SQL] [PySpark] type conversionfor python udfDavies Liu2014-10-283-87/+89
| | | | | | | | | | | | | | | | Call Python UDF on ArrayType/MapType/PrimitiveType, the returnType can also be ArrayType/MapType/PrimitiveType. For StructType, it will act as tuple (without attributes). If returnType is StructType, it also should be tuple. Author: Davies Liu <davies@databricks.com> Closes #2973 from davies/udf_array and squashes the following commits: 306956e [Davies Liu] Merge branch 'master' of github.com:apache/spark into udf_array 2c00e43 [Davies Liu] fix merge 11395fa [Davies Liu] Merge branch 'master' of github.com:apache/spark into udf_array 9df50a2 [Davies Liu] address comments 79afb4e [Davies Liu] type conversionfor python udf
* [SPARK-3904] [SQL] add constant objectinspector support for udfsCheng Hao2014-10-2821-92/+307
| | | | | | | | | | | | | | | | | | | | | | | 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 Hao2014-10-2813-94/+337
| | | | | | | | | | | | 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
* [SPARK-3988][SQL] add public API for date typeDaoyuan Wang2014-10-289-18/+48
| | | | | | | | | | | | | | | | Add json and python api for date type. By using Pickle, `java.sql.Date` was serialized as calendar, and recognized in python as `datetime.datetime`. Author: Daoyuan Wang <daoyuan.wang@intel.com> Closes #2901 from adrian-wang/spark3988 and squashes the following commits: c51a24d [Daoyuan Wang] convert datetime to date 5670626 [Daoyuan Wang] minor line combine f760d8e [Daoyuan Wang] fix indent 444f100 [Daoyuan Wang] fix a typo 1d74448 [Daoyuan Wang] fix scala style 8d7dd22 [Daoyuan Wang] add json and python api for date type
* [SPARK-3814][SQL] Support for Bitwise AND(&), OR(|) ,XOR(^), NOT(~) in Spark ↵ravipesala2014-10-288-1/+174
| | | | | | | | | | | | | HQL and SQL Currently there is no support of Bitwise & , | in Spark HiveQl and Spark SQL as well. So this PR support the same. I am closing https://github.com/apache/spark/pull/2926 as it has conflicts to merge. And also added support for Bitwise AND(&), OR(|) ,XOR(^), NOT(~) And I handled all review comments in that PR Author: ravipesala <ravindra.pesala@huawei.com> Closes #2961 from ravipesala/SPARK-3814-NEW4 and squashes the following commits: a391c7a [ravipesala] Rebase with master
* [SPARK-3907][SQL] Add truncate table supportwangxiaojing2014-10-2729-1/+9
| | | | | | | | | | | | | | | | | | | | | | JIRA issue: [SPARK-3907]https://issues.apache.org/jira/browse/SPARK-3907 Add turncate table support TRUNCATE TABLE table_name [PARTITION partition_spec]; partition_spec: : (partition_col = partition_col_value, partition_col = partiton_col_value, ...) Removes all rows from a table or partition(s). Currently target table should be native/managed table or exception will be thrown. User can specify partial partition_spec for truncating multiple partitions at once and omitting partition_spec will truncate all partitions in the table. Author: wangxiaojing <u9jing@gmail.com> Closes #2770 from wangxiaojing/spark-3907 and squashes the following commits: 63dbd81 [wangxiaojing] change hive scalastyle 7a03707 [wangxiaojing] add comment f6e710e [wangxiaojing] change truncate table a1f692c [wangxiaojing] Correct spelling mistakes 3b20007 [wangxiaojing] add truncate can not support column err message e483547 [wangxiaojing] add golden file 77b1f20 [wangxiaojing] add truncate table support
* [SQL] Correct a variable name in JavaApplySchemaSuite.applySchemaToJSONYin Huai2014-10-271-1/+1
| | | | | | | | | | `schemaRDD2` is not tested because `schemaRDD1` is registered again. Author: Yin Huai <huai@cse.ohio-state.edu> Closes #2869 from yhuai/JavaApplySchemaSuite and squashes the following commits: 95fe894 [Yin Huai] Correct variable name.
* [SPARK-4041][SQL] Attributes names in table scan should converted to ↵wangfei2014-10-273-4/+20
| | | | | | | | | | | | | | | | | lowercase when compare with relation attributes In ```MetastoreRelation``` the attributes name is lowercase because of hive using lowercase for fields name, so we should convert attributes name in table scan lowercase in ```indexWhere(_.name == a.name)```. ```neededColumnIDs``` may be not correct if not convert to lowercase. Author: wangfei <wangfei1@huawei.com> Author: scwf <wangfei1@huawei.com> Closes #2884 from scwf/fixColumnIds and squashes the following commits: 6174046 [scwf] use AttributeMap for this issue dc74a24 [wangfei] use lowerName and add a test case for this issue 3ff3a80 [wangfei] more safer change 294fcb7 [scwf] attributes names in table scan should convert lowercase in neededColumnsIDs
* [SPARK-3816][SQL] Add table properties from storage handler to output jobConfAlex Liu2014-10-271-0/+8
| | | | | | | | | | ...ob conf in SparkHadoopWriter class Author: Alex Liu <alex_liu68@yahoo.com> Closes #2677 from alexliu68/SPARK-SQL-3816 and squashes the following commits: 79c269b [Alex Liu] [SPARK-3816][SQL] Add table properties from storage handler to job conf
* [SPARK-3911] [SQL] HiveSimpleUdf can not be optimized in constant foldingCheng Hao2014-10-275-2/+104
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | ``` explain extended select cos(null) from src limit 1; ``` outputs: ``` Project [HiveSimpleUdf#org.apache.hadoop.hive.ql.udf.UDFCos(null) AS c_0#5] MetastoreRelation default, src, None == Optimized Logical Plan == Limit 1 Project [HiveSimpleUdf#org.apache.hadoop.hive.ql.udf.UDFCos(null) AS c_0#5] MetastoreRelation default, src, None == Physical Plan == Limit 1 Project [HiveSimpleUdf#org.apache.hadoop.hive.ql.udf.UDFCos(null) AS c_0#5] HiveTableScan [], (MetastoreRelation default, src, None), None ``` After patching this PR it outputs ``` == Parsed Logical Plan == Limit 1 Project ['cos(null) AS c_0#0] UnresolvedRelation None, src, None == Analyzed Logical Plan == Limit 1 Project [HiveSimpleUdf#org.apache.hadoop.hive.ql.udf.UDFCos(null) AS c_0#0] MetastoreRelation default, src, None == Optimized Logical Plan == Limit 1 Project [null AS c_0#0] MetastoreRelation default, src, None == Physical Plan == Limit 1 Project [null AS c_0#0] HiveTableScan [], (MetastoreRelation default, src, None), None ``` Author: Cheng Hao <hao.cheng@intel.com> Closes #2771 from chenghao-intel/hive_udf_constant_folding and squashes the following commits: 1379c73 [Cheng Hao] duplicate the PlanTest with catalyst/plans/PlanTest 1e52dda [Cheng Hao] add unit test for hive simple udf constant folding 01609ff [Cheng Hao] support constant folding for HiveSimpleUdf
* [SQL] Fixes caching related JoinSuite failureCheng Lian2014-10-272-57/+64
| | | | | | | | | | | | PR #2860 refines in-memory table statistics and enables broader broadcasted hash join optimization for in-memory tables. This makes `JoinSuite` fail when some test suite caches test table `testData` and gets executed before `JoinSuite`. Because expected `ShuffledHashJoin`s are optimized to `BroadcastedHashJoin` according to collected in-memory table statistics. This PR fixes this issue by clearing the cache before testing join operator selection. A separate test case is also added to test broadcasted hash join operator selection. Author: Cheng Lian <lian@databricks.com> Closes #2960 from liancheng/fix-join-suite and squashes the following commits: 715b2de [Cheng Lian] Fixes caching related JoinSuite failure
* [SPARK-4042][SQL] Append columns ids and names before broadcastscwf2014-10-261-2/+3
| | | | | | | | | | Append columns ids and names before broadcast ```hiveExtraConf``` in ```HadoopTableReader```. Author: scwf <wangfei1@huawei.com> Closes #2885 from scwf/HadoopTableReader and squashes the following commits: a8c498c [scwf] append columns ids and names before broadcast
* [SPARK-4061][SQL] We cannot use EOL character in the operand of LIKE predicate.Kousuke Saruta2014-10-262-23/+25
| | | | | | | | | | | | | | | We cannot use EOL character like \n or \r in the operand of LIKE predicate. So following condition is never true. -- someStr is 'hoge\nfuga' where someStr LIKE 'hoge_fuga' Author: Kousuke Saruta <sarutak@oss.nttdata.co.jp> Closes #2908 from sarutak/spark-sql-like-match-modification and squashes the following commits: d15798b [Kousuke Saruta] Remove test setting for thriftserver f99a2f4 [Kousuke Saruta] Fixed LIKE predicate so that we can use EOL character as in a operand
* [SPARK-3959][SPARK-3960][SQL] SqlParser fails to parse literal ↵Kousuke Saruta2014-10-263-21/+189
| | | | | | | | | | | | | | | | | | | | | -9223372036854775808 (Long.MinValue). / We can apply unary minus only to literal. SqlParser fails to parse -9223372036854775808 (Long.MinValue) so we cannot write queries such like as follows. SELECT value FROM someTable WHERE value > -9223372036854775808 Additionally, because of the wrong syntax definition, we cannot apply unary minus only to literal. So, we cannot write such expressions. -(value1 + value2) // Parenthesized expressions -column // Columns -MAX(column) // Functions Author: Kousuke Saruta <sarutak@oss.nttdata.co.jp> Closes #2816 from sarutak/spark-sql-dsl-improvement2 and squashes the following commits: 32a5005 [Kousuke Saruta] Remove test setting for thriftserver c2bab5e [Kousuke Saruta] Fixed SPARK-3959 and SPARK-3960
* [SPARK-3483][SQL] Special chars in column namesravipesala2014-10-262-0/+8
| | | | | | | | | | Supporting special chars in column names by using back ticks. Closed https://github.com/apache/spark/pull/2804 and created this PR as it has merge conflicts Author: ravipesala <ravindra.pesala@huawei.com> Closes #2927 from ravipesala/SPARK-3483-NEW and squashes the following commits: f6329f3 [ravipesala] Rebased with master
* [SPARK-4068][SQL] NPE in jsonRDD schema inferenceYin Huai2014-10-263-20/+58
| | | | | | | | | | | | Please refer to added tests for cases that can trigger the bug. JIRA: https://issues.apache.org/jira/browse/SPARK-4068 Author: Yin Huai <huai@cse.ohio-state.edu> Closes #2918 from yhuai/SPARK-4068 and squashes the following commits: d360eae [Yin Huai] Handle nulls when building key paths from elements of an array.
* [SPARK-4052][SQL] Use scala.collection.Map for pattern matching instead of ↵Yin Huai2014-10-264-1/+26
| | | | | | | | | | | | | using Predef.Map (it is scala.collection.immutable.Map) Please check https://issues.apache.org/jira/browse/SPARK-4052 for cases triggering this bug. Author: Yin Huai <huai@cse.ohio-state.edu> Closes #2899 from yhuai/SPARK-4052 and squashes the following commits: 1188f70 [Yin Huai] Address liancheng's comments. b6712be [Yin Huai] Use scala.collection.Map instead of Predef.Map (scala.collection.immutable.Map).
* [SPARK-3953][SQL][Minor] Confusable variable name.Kousuke Saruta2014-10-261-1/+1
| | | | | | | | | | | | | | | | | In SqlParser.scala, there is following code. case d ~ p ~ r ~ f ~ g ~ h ~ o ~ l => val base = r.getOrElse(NoRelation) val withFilter = f.map(f => Filter(f, base)).getOrElse(base) In the code above, there are 2 variables which have same name "f" in near place. One is receiver "f" and other is bound variable "f". Author: Kousuke Saruta <sarutak@oss.nttdata.co.jp> Closes #2807 from sarutak/SPARK-3953 and squashes the following commits: 4957c32 [Kousuke Saruta] Improved variable name in SqlParser.scala
* [SPARK-3537][SPARK-3914][SQL] Refines in-memory columnar table statisticsCheng Lian2014-10-2611-167/+240
| | | | | | | | | | | | | | | | | | | | | | This PR refines in-memory columnar table statistics: 1. adds 2 more statistics for in-memory table columns: `count` and `sizeInBytes` 1. adds filter pushdown support for `IS NULL` and `IS NOT NULL`. 1. caches and propagates statistics in `InMemoryRelation` once the underlying cached RDD is materialized. Statistics are collected to driver side with an accumulator. This PR also fixes SPARK-3914 by properly propagating in-memory statistics. Author: Cheng Lian <lian@databricks.com> Closes #2860 from liancheng/propagates-in-mem-stats and squashes the following commits: 0cc5271 [Cheng Lian] Restricts visibility of o.a.s.s.c.p.l.Statistics c5ff904 [Cheng Lian] Fixes test table name conflict a8c818d [Cheng Lian] Refines tests 1d01074 [Cheng Lian] Bug fix: shouldn't call STRING.actualSize on null string value 7dc6a34 [Cheng Lian] Adds more in-memory table statistics and propagates them properly
* [SPARK-3925][SQL] Do not consider the ordering of qualifiers during comparisonLiang-Chi Hsieh2014-10-261-1/+1
| | | | | | | | | | | The orderings should not be considered during the comparison between old qualifiers and new qualifiers. Author: Liang-Chi Hsieh <viirya@gmail.com> Closes #2783 from viirya/full_qualifier_comp and squashes the following commits: 89f652c [Liang-Chi Hsieh] modification for comment. abb5762 [Liang-Chi Hsieh] More comprehensive comparison of qualifiers.
* [SPARK-3616] Add basic Selenium tests to WebUISuiteJosh Rosen2014-10-261-1/+1
| | | | | | | | | | | | | | | | | | | | | | | | This patch adds Selenium tests for Spark's web UI. To avoid adding extra dependencies to the test environment, the tests use Selenium's HtmlUnitDriver, which is pure-Java, instead of, say, ChromeDriver. I added new tests to try to reproduce a few UI bugs reported on JIRA, namely SPARK-3021, SPARK-2105, and SPARK-2527. I wasn't able to reproduce these bugs; I suspect that the older ones might have been fixed by other patches. In order to use HtmlUnitDriver, I added an explicit dependency on the org.apache.httpcomponents version of httpclient in order to prevent jets3t's older version from taking precedence on the classpath. I also upgraded ScalaTest to 2.2.1. Author: Josh Rosen <joshrosen@apache.org> Author: Josh Rosen <joshrosen@databricks.com> Closes #2474 from JoshRosen/webui-selenium-tests and squashes the following commits: fcc9e83 [Josh Rosen] scalautils -> scalactic package rename 510e54a [Josh Rosen] [SPARK-3616] Add basic Selenium tests to WebUISuite.
* SPARK-3359 [DOCS] sbt/sbt unidoc doesn't work with Java 8Sean Owen2014-10-251-1/+1
| | | | | | | | | | This follows https://github.com/apache/spark/pull/2893 , but does not completely fix SPARK-3359 either. This fixes minor scaladoc/javadoc issues that Javadoc 8 will treat as errors. Author: Sean Owen <sowen@cloudera.com> Closes #2909 from srowen/SPARK-3359 and squashes the following commits: f62c347 [Sean Owen] Fix some javadoc issues that javadoc 8 considers errors. This is not all of the errors turned up when javadoc 8 runs on output of genjavadoc.
* [SQL] Update Hive test harness for Hive 12 and 13Michael Armbrust2014-10-248163-47485/+38300
| | | | | | | | | | | | | 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
* [HOTFIX][SQL] Remove sleep on reset() failure.Michael Armbrust2014-10-241-4/+0
| | | | | | | | Author: Michael Armbrust <michael@databricks.com> Closes #2934 from marmbrus/patch-2 and squashes the following commits: a96dab2 [Michael Armbrust] Remove sleep on reset() failure.
* [SPARK-2706][SQL] Enable Spark to support Hive 0.13Zhan Zhang2014-10-2415-47/+357
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | 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
* [SPARK-4050][SQL] Fix caching of temporary tables with projections.Michael Armbrust2014-10-244-12/+48
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | Previously cached data was found by `sameResult` plan matching on optimized plans. This technique however fails to locate the cached data when a temporary table with a projection is queried with a further reduced projection. The failure is due to the fact that optimization will collapse the projections, producing a plan that no longer produces the sameResult as the cached data (though the cached data still subsumes the desired data). For example consider the following previously failing test case. ```scala sql("CACHE TABLE tempTable AS SELECT key FROM testData") assertCached(sql("SELECT COUNT(*) FROM tempTable")) ``` In this PR I change the matching to occur after analysis instead of optimization, so that in the case of temporary tables, the plans will always match. I think this should work generally, however, this error does raise questions about the need to do more thorough subsumption checking when locating cached data. Another question is what sort of semantics we want to provide when uncaching data from temporary tables. For example consider the following sequence of commands: ```scala testData.select('key).registerTempTable("tempTable1") testData.select('key).registerTempTable("tempTable2") cacheTable("tempTable1") // This obviously works. assertCached(sql("SELECT COUNT(*) FROM tempTable1")) // It seems good that this works ... assertCached(sql("SELECT COUNT(*) FROM tempTable2")) // ... but is this valid? uncacheTable("tempTable2") // Should this still be cached? assertCached(sql("SELECT COUNT(*) FROM tempTable1"), 0) ``` Author: Michael Armbrust <michael@databricks.com> Closes #2912 from marmbrus/cachingBug and squashes the following commits: 9c822d4 [Michael Armbrust] remove commented out code 5c72fb7 [Michael Armbrust] Add a test case / question about uncaching semantics. 63a23e4 [Michael Armbrust] Perform caching on analyzed instead of optimized plan. 03f1cfe [Michael Armbrust] Clean-up / add tests to SameResult suite.
* [SQL]redundant methods for broadcastwangfei2014-10-211-4/+0
| | | | | | | | | | redundant methods for broadcast in ```TableReader``` Author: wangfei <wangfei1@huawei.com> Closes #2862 from scwf/TableReader and squashes the following commits: 414cc24 [wangfei] unnecessary methods for broadcast
* [SPARK-3940][SQL] Avoid console printing error messages three timeswangxiaojing2014-10-201-1/+1
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | If wrong sql,the console print error one times。 eg： <pre> spark-sql> show tabless; show tabless; 14/10/13 21:03:48 INFO ParseDriver: Parsing command: show tabless ............ at org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.processCmd(SparkSQLCLIDriver.scala:274) at org.apache.hadoop.hive.cli.CliDriver.processLine(CliDriver.java:413) at org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver$.main(SparkSQLCLIDriver.scala:209) at org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.main(SparkSQLCLIDriver.scala) Caused by: org.apache.hadoop.hive.ql.parse.ParseException: line 1:5 cannot recognize input near 'show' 'tabless' '<EOF>' in ddl statement at org.apache.hadoop.hive.ql.parse.ParseDriver.parse(ParseDriver.java:193) at org.apache.hadoop.hive.ql.parse.ParseDriver.parse(ParseDriver.java:161) at org.apache.spark.sql.hive.HiveQl$.getAst(HiveQl.scala:218) at org.apache.spark.sql.hive.HiveQl$.createPlan(HiveQl.scala:226) ... 47 more Time taken: 4.35 seconds 14/10/13 21:03:51 INFO CliDriver: Time taken: 4.35 seconds </pre> Author: wangxiaojing <u9jing@gmail.com> Closes #2790 from wangxiaojing/spark-3940 and squashes the following commits: e2e5c14 [wangxiaojing] sql Print the error code three times
generated by cgit v1.2.3 (git 2.39.1) at 2024-09-07 01:11:00 +0000