aboutsummaryrefslogtreecommitdiff
Commit message (Collapse)AuthorAgeFilesLines
* [SPARK-11112] Fix Scala 2.11 compilation error in RDDInfo.scalatedyu2015-11-091-11/+1
| | | | | | | | | | | | | | As shown in https://amplab.cs.berkeley.edu/jenkins/view/Spark-QA-Compile/job/Spark-Master-Scala211-Compile/1946/console , compilation fails with: ``` [error] /home/jenkins/workspace/Spark-Master-Scala211-Compile/core/src/main/scala/org/apache/spark/storage/RDDInfo.scala:25: in class RDDInfo, multiple overloaded alternatives of constructor RDDInfo define default arguments. [error] class RDDInfo( [error] ``` This PR tries to fix the compilation error Author: tedyu <yuzhihong@gmail.com> Closes #9538 from tedyu/master.
* [SPARK-10565][CORE] add missing web UI stats to /api/v1/applications JSONCharles Yeh2015-11-096-2/+114
| | | | | | | | | | I looked at the other endpoints, and they don't seem to be missing any fields. Added fields: ![image](https://cloud.githubusercontent.com/assets/613879/10948801/58159982-82e4-11e5-86dc-62da201af910.png) Author: Charles Yeh <charlesyeh@dropbox.com> Closes #9472 from CharlesYeh/api_vars.
* [SPARK-11582][MLLIB] specifying pmml version attribute =4.2 in the root node ↵fazlan-nazeem2015-11-091-0/+1
| | | | | | | | | | of pmml model The current pmml models generated do not specify the pmml version in its root node. This is a problem when using this pmml model in other tools because they expect the version attribute to be set explicitly. This fix adds the pmml version attribute to the generated pmml models and specifies its value as 4.2. Author: fazlan-nazeem <fazlann@wso2.com> Closes #9558 from fazlan-nazeem/master.
* [SPARK-10689][ML][DOC] User guide and example code for AFTSurvivalRegressionYanbo Liang2015-11-095-0/+281
| | | | | | | | Add user guide and example code for ```AFTSurvivalRegression```. Author: Yanbo Liang <ybliang8@gmail.com> Closes #9491 from yanboliang/spark-10689.
* [SPARK-11494][ML][R] Expose R-like summary statistics in SparkR::glm for ↵Yanbo Liang2015-11-093-15/+88
| | | | | | | | | | | | | | | | | | | | | | linear regression Expose R-like summary statistics in SparkR::glm for linear regression, the output of ```summary``` like ```Java $DevianceResiduals Min Max -0.9509607 0.7291832 $Coefficients Estimate Std. Error t value Pr(>|t|) (Intercept) 1.6765 0.2353597 7.123139 4.456124e-11 Sepal_Length 0.3498801 0.04630128 7.556598 4.187317e-12 Species_versicolor -0.9833885 0.07207471 -13.64402 0 Species_virginica -1.00751 0.09330565 -10.79796 0 ``` Author: Yanbo Liang <ybliang8@gmail.com> Closes #9561 from yanboliang/spark-11494.
* [DOC][MINOR][SQL] Fix internal linkRohit Agarwal2015-11-091-1/+1
| | | | | | | | It doesn't show up as a hyperlink currently. It will show up as a hyperlink after this change. Author: Rohit Agarwal <mindprince@gmail.com> Closes #9544 from mindprince/patch-2.
* [SPARK-11218][CORE] show help messages for start-slave and start-masterCharles Yeh2015-11-092-14/+34
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | Addressing https://issues.apache.org/jira/browse/SPARK-11218, mostly copied start-thriftserver.sh. ``` charlesyeh-mbp:spark charlesyeh$ ./sbin/start-master.sh --help Usage: Master [options] Options: -i HOST, --ip HOST Hostname to listen on (deprecated, please use --host or -h) -h HOST, --host HOST Hostname to listen on -p PORT, --port PORT Port to listen on (default: 7077) --webui-port PORT Port for web UI (default: 8080) --properties-file FILE Path to a custom Spark properties file. Default is conf/spark-defaults.conf. ``` ``` charlesyeh-mbp:spark charlesyeh$ ./sbin/start-slave.sh Usage: Worker [options] <master> Master must be a URL of the form spark://hostname:port Options: -c CORES, --cores CORES Number of cores to use -m MEM, --memory MEM Amount of memory to use (e.g. 1000M, 2G) -d DIR, --work-dir DIR Directory to run apps in (default: SPARK_HOME/work) -i HOST, --ip IP Hostname to listen on (deprecated, please use --host or -h) -h HOST, --host HOST Hostname to listen on -p PORT, --port PORT Port to listen on (default: random) --webui-port PORT Port for web UI (default: 8081) --properties-file FILE Path to a custom Spark properties file. Default is conf/spark-defaults.conf. ``` Author: Charles Yeh <charlesyeh@dropbox.com> Closes #9432 from CharlesYeh/helpmsg.
* [SPARK-11453][SQL] append data to partitioned table will messes up the resultWenchen Fan2015-11-083-4/+53
| | | | | | | | | | | | | The reason is that: 1. For partitioned hive table, we will move the partitioned columns after data columns. (e.g. `<a: Int, b: Int>` partition by `a` will become `<b: Int, a: Int>`) 2. When append data to table, we use position to figure out how to match input columns to table's columns. So when we append data to partitioned table, we will match wrong columns between input and table. A solution is reordering the input columns before match by position, like what we did for [`InsertIntoHadoopFsRelation`](https://github.com/apache/spark/blob/master/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/InsertIntoHadoopFsRelation.scala#L101-L105) Author: Wenchen Fan <wenchen@databricks.com> Closes #9408 from cloud-fan/append.
* [SPARK-11564][SQL] Dataset Java API auditReynold Xin2015-11-0814-97/+316
| | | | | | | | | | | | | | A few changes: 1. Removed fold, since it can be confusing for distributed collections. 2. Created specific interfaces for each Dataset function (e.g. MapFunction, ReduceFunction, MapPartitionsFunction) 3. Added more documentation and test cases. The other thing I'm considering doing is to have a "collector" interface for FlatMapFunction and MapPartitionsFunction, similar to MapReduce's map function. Author: Reynold Xin <rxin@databricks.com> Closes #9531 from rxin/SPARK-11564.
* [SPARK-11554][SQL] add map/flatMap to GroupedDatasetWenchen Fan2015-11-086-37/+70
| | | | | | Author: Wenchen Fan <wenchen@databricks.com> Closes #9521 from cloud-fan/map.
* [SPARK-10046][SQL] Hive warehouse dir not set in current directory when not …xin Wu2015-11-081-2/+4
| | | | | | | | Doc change to align with HiveConf default in terms of where to create `warehouse` directory. Author: xin Wu <xinwu@us.ibm.com> Closes #9365 from xwu0226/spark-10046-commit.
* [SPARK-11451][SQL] Support single distinct count on multiple columns.Herman van Hovell2015-11-086-26/+127
| | | | | | | | | | This PR adds support for multiple column in a single count distinct aggregate to the new aggregation path. cc yhuai Author: Herman van Hovell <hvanhovell@questtec.nl> Closes #9409 from hvanhovell/SPARK-11451.
* [DOC][SQL] Remove redundant out-of-place python snippetRohit Agarwal2015-11-081-9/+0
| | | | | | | | This snippet seems to be mistakenly introduced at two places in #5348. Author: Rohit Agarwal <mindprince@gmail.com> Closes #9540 from mindprince/patch-1.
* [SPARK-11476][DOCS] Incorrect function referred to in MLib Random data ↵Sean Owen2015-11-081-1/+1
| | | | | | | | | | generation documentation Fix Python example to use normalRDD as advertised Author: Sean Owen <sowen@cloudera.com> Closes #9529 from srowen/SPARK-11476.
* [SPARK-11362] [SQL] Use Spark BitSet in BroadcastNestedLoopJoinLiang-Chi Hsieh2015-11-071-10/+8
| | | | | | | | | | JIRA: https://issues.apache.org/jira/browse/SPARK-11362 We use scala.collection.mutable.BitSet in BroadcastNestedLoopJoin now. We should use Spark's BitSet. Author: Liang-Chi Hsieh <viirya@appier.com> Closes #9316 from viirya/use-spark-bitset.
* [SPARK-9241][SQL] Supporting multiple DISTINCT columns - follow-upHerman van Hovell2015-11-072-23/+108
| | | | | | | | | | This PR is a follow up for PR https://github.com/apache/spark/pull/9406. It adds more documentation to the rewriting rule, removes a redundant if expression in the non-distinct aggregation path and adds a multiple distinct test to the AggregationQuerySuite. cc yhuai marmbrus Author: Herman van Hovell <hvanhovell@questtec.nl> Closes #9541 from hvanhovell/SPARK-9241-followup.
* [SPARK-8467] [MLLIB] [PYSPARK] Add LDAModel.describeTopics() in PythonYu ISHIKAWA2015-11-063-17/+75
| | | | | | | | | | | | | Could jkbradley and davies review it? - Create a wrapper class: `LDAModelWrapper` for `LDAModel`. Because we can't deal with the return value of`describeTopics` in Scala from pyspark directly. `Array[(Array[Int], Array[Double])]` is too complicated to convert it. - Add `loadLDAModel` in `PythonMLlibAPI`. Since `LDAModel` in Scala is an abstract class and we need to call `load` of `DistributedLDAModel`. [[SPARK-8467] Add LDAModel.describeTopics() in Python - ASF JIRA](https://issues.apache.org/jira/browse/SPARK-8467) Author: Yu ISHIKAWA <yuu.ishikawa@gmail.com> Closes #8643 from yu-iskw/SPARK-8467-2.
* [SPARK-11112] DAG visualization: display RDD callsiteAndrew Or2015-11-077-20/+79
| | | | | | | | | <img width="548" alt="screen shot 2015-11-01 at 9 42 33 am" src="https://cloud.githubusercontent.com/assets/2133137/10870343/2a8cd070-807d-11e5-857a-4ebcace77b5b.png"> mateiz sarutak Author: Andrew Or <andrew@databricks.com> Closes #9398 from andrewor14/rdd-callsite.
* [SPARK-11389][CORE] Add support for off-heap memory to MemoryManagerJosh Rosen2015-11-0621-465/+828
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | In order to lay the groundwork for proper off-heap memory support in SQL / Tungsten, we need to extend our MemoryManager to perform bookkeeping for off-heap memory. ## User-facing changes This PR introduces a new configuration, `spark.memory.offHeapSize` (name subject to change), which specifies the absolute amount of off-heap memory that Spark and Spark SQL can use. If Tungsten is configured to use off-heap execution memory for allocating data pages, then all data page allocations must fit within this size limit. ## Internals changes This PR contains a lot of internal refactoring of the MemoryManager. The key change at the heart of this patch is the introduction of a `MemoryPool` class (name subject to change) to manage the bookkeeping for a particular category of memory (storage, on-heap execution, and off-heap execution). These MemoryPools are not fixed-size; they can be dynamically grown and shrunk according to the MemoryManager's policies. In StaticMemoryManager, these pools have fixed sizes, proportional to the legacy `[storage|shuffle].memoryFraction`. In the new UnifiedMemoryManager, the sizes of these pools are dynamically adjusted according to its policies. There are two subclasses of `MemoryPool`: `StorageMemoryPool` manages storage memory and `ExecutionMemoryPool` manages execution memory. The MemoryManager creates two execution pools, one for on-heap memory and one for off-heap. Instances of `ExecutionMemoryPool` manage the logic for fair sharing of their pooled memory across running tasks (in other words, the ShuffleMemoryManager-like logic has been moved out of MemoryManager and pushed into these ExecutionMemoryPool instances). I think that this design is substantially easier to understand and reason about than the previous design, where most of these responsibilities were handled by MemoryManager and its subclasses. To see this, take at look at how simple the logic in `UnifiedMemoryManager` has become: it's now very easy to see when memory is dynamically shifted between storage and execution. ## TODOs - [x] Fix handful of test failures in the MemoryManagerSuites. - [x] Fix remaining TODO comments in code. - [ ] Document new configuration. - [x] Fix commented-out tests / asserts: - [x] UnifiedMemoryManagerSuite. - [x] Write tests that exercise the new off-heap memory management policies. Author: Josh Rosen <joshrosen@databricks.com> Closes #9344 from JoshRosen/offheap-memory-accounting.
* [HOTFIX] Fix python tests after #9527Michael Armbrust2015-11-061-1/+1
| | | | | | | | #9527 missed updating the python tests. Author: Michael Armbrust <michael@databricks.com> Closes #9533 from marmbrus/hotfixTextValue.
* [SPARK-11546] Thrift server makes too many logs about result schemanavis.ryu2015-11-061-11/+13
| | | | | | | | SparkExecuteStatementOperation logs result schema for each getNextRowSet() calls which is by default every 1000 rows, overwhelming whole log file. Author: navis.ryu <navis@apache.org> Closes #9514 from navis/SPARK-11546.
* [SPARK-9241][SQL] Supporting multiple DISTINCT columns (2) - Rewriting RuleHerman van Hovell2015-11-066-44/+238
| | | | | | | | | | | | | | | | The second PR for SPARK-9241, this adds support for multiple distinct columns to the new aggregation code path. This PR solves the multiple DISTINCT column problem by rewriting these Aggregates into an Expand-Aggregate-Aggregate combination. See the [JIRA ticket](https://issues.apache.org/jira/browse/SPARK-9241) for some information on this. The advantages over the - competing - [first PR](https://github.com/apache/spark/pull/9280) are: - This can use the faster TungstenAggregate code path. - It is impossible to OOM due to an ```OpenHashSet``` allocating to much memory. However, this will multiply the number of input rows by the number of distinct clauses (plus one), and puts a lot more memory pressure on the aggregation code path itself. The location of this Rule is a bit funny, and should probably change when the old aggregation path is changed. cc yhuai - Could you also tell me where to add tests for this? Author: Herman van Hovell <hvanhovell@questtec.nl> Closes #9406 from hvanhovell/SPARK-9241-rewriter.
* [SPARK-11410] [PYSPARK] Add python bindings for repartition and sortW…Nong Li2015-11-061-16/+101
| | | | | | | | …ithinPartitions. Author: Nong Li <nong@databricks.com> Closes #9504 from nongli/spark-11410.
* [SPARK-11269][SQL] Java API support & test cases for DatasetWenchen Fan2015-11-068-12/+644
| | | | | | | | | This simply brings https://github.com/apache/spark/pull/9358 up-to-date. Author: Wenchen Fan <wenchen@databricks.com> Author: Reynold Xin <rxin@databricks.com> Closes #9528 from rxin/dataset-java.
* [SPARK-11555] spark on yarn spark-class --num-workers doesn't workThomas Graves2015-11-062-3/+6
| | | | | | | | | | I tested the various options with both spark-submit and spark-class of specifying number of executors in both client and cluster mode where it applied. --num-workers, --num-executors, spark.executor.instances, SPARK_EXECUTOR_INSTANCES, default nothing supplied Author: Thomas Graves <tgraves@staydecay.corp.gq1.yahoo.com> Closes #9523 from tgravescs/SPARK-11555.
* [SPARK-11217][ML] save/load for non-meta estimators and transformersXiangrui Meng2015-11-067-4/+469
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | This PR implements the default save/load for non-meta estimators and transformers using the JSON serialization of param values. The saved metadata includes: * class name * uid * timestamp * paramMap The save/load interface is similar to DataFrames. We use the current active context by default, which should be sufficient for most use cases. ~~~scala instance.save("path") instance.write.context(sqlContext).overwrite().save("path") Instance.load("path") ~~~ The param handling is different from the design doc. We didn't save default and user-set params separately, and when we load it back, all parameters are user-set. This does cause issues. But it also cause other issues if we modify the default params. TODOs: * [x] Java test * [ ] a follow-up PR to implement default save/load for all non-meta estimators and transformers cc jkbradley Author: Xiangrui Meng <meng@databricks.com> Closes #9454 from mengxr/SPARK-11217.
* [SPARK-11561][SQL] Rename text data source's column name to value.Reynold Xin2015-11-062-5/+3
| | | | | | Author: Reynold Xin <rxin@databricks.com> Closes #9527 from rxin/SPARK-11561.
* [SPARK-11450] [SQL] Add Unsafe Row processing to ExpandHerman van Hovell2015-11-064-14/+73
| | | | | | | | This PR enables the Expand operator to process and produce Unsafe Rows. Author: Herman van Hovell <hvanhovell@questtec.nl> Closes #9414 from hvanhovell/SPARK-11450.
* [SPARK-10116][CORE] XORShiftRandom.hashSeed is random in high bitsImran Rashid2015-11-0615-61/+128
| | | | | | | | | | | | https://issues.apache.org/jira/browse/SPARK-10116 This is really trivial, just happened to notice it -- if `XORShiftRandom.hashSeed` is really supposed to have random bits throughout (as the comment implies), it needs to do something for the conversion to `long`. mengxr mkolod Author: Imran Rashid <irashid@cloudera.com> Closes #8314 from squito/SPARK-10116.
* Typo fixes + code readability improvementsJacek Laskowski2015-11-064-17/+21
| | | | | | Author: Jacek Laskowski <jacek.laskowski@deepsense.io> Closes #9501 from jaceklaskowski/typos-with-style.
* [SPARK-9858][SQL] Add an ExchangeCoordinator to estimate the number of ↵Yin Huai2015-11-064-62/+167
| | | | | | | | | | | | post-shuffle partitions for aggregates and joins (follow-up) https://issues.apache.org/jira/browse/SPARK-9858 This PR is the follow-up work of https://github.com/apache/spark/pull/9276. It addresses JoshRosen's comments. Author: Yin Huai <yhuai@databricks.com> Closes #9453 from yhuai/numReducer-followUp.
* [SPARK-10978][SQL][FOLLOW-UP] More comprehensive tests for PR #9399Cheng Lian2015-11-063-46/+321
| | | | | | | | This PR adds test cases that test various column pruning and filter push-down cases. Author: Cheng Lian <lian@databricks.com> Closes #9468 from liancheng/spark-10978.follow-up.
* [SPARK-9162] [SQL] Implement code generation for ScalaUDFLiang-Chi Hsieh2015-11-062-2/+124
| | | | | | | | | | JIRA: https://issues.apache.org/jira/browse/SPARK-9162 Currently ScalaUDF extends CodegenFallback and doesn't provide code generation implementation. This path implements code generation for ScalaUDF. Author: Liang-Chi Hsieh <viirya@appier.com> Closes #9270 from viirya/scalaudf-codegen.
* [SPARK-11511][STREAMING] Fix NPE when an InputDStream is not usedShixiong Zhu2015-11-062-1/+18
| | | | | | | | Just ignored `InputDStream`s that have null `rememberDuration` in `DStreamGraph.getMaxInputStreamRememberDuration`. Author: Shixiong Zhu <shixiong@databricks.com> Closes #9476 from zsxwing/SPARK-11511.
* [SPARK-11453][SQL][FOLLOW-UP] remove DecimalLitWenchen Fan2015-11-063-29/+35
| | | | | | | | | | | A cleanup for https://github.com/apache/spark/pull/9085. The `DecimalLit` is very similar to `FloatLit`, we can just keep one of them. Also added low level unit test at `SqlParserSuite` Author: Wenchen Fan <wenchen@databricks.com> Closes #9482 from cloud-fan/parser.
* [SPARK-11541][SQL] Break JdbcDialects.scala into multiple files and mark ↵Reynold Xin2015-11-0510-187/+332
| | | | | | | | various dialects as private. Author: Reynold Xin <rxin@databricks.com> Closes #9511 from rxin/SPARK-11541.
* [SPARK-11528] [SQL] Typed aggregations for DatasetsMichael Armbrust2015-11-054-3/+132
| | | | | | | | | | | | | | | This PR adds the ability to do typed SQL aggregations. We will likely also want to provide an interface to allow users to do aggregations on objects, but this is deferred to another PR. ```scala val ds = Seq(("a", 10), ("a", 20), ("b", 1), ("b", 2), ("c", 1)).toDS() ds.groupBy(_._1).agg(sum("_2").as[Int]).collect() res0: Array(("a", 30), ("b", 3), ("c", 1)) ``` Author: Michael Armbrust <michael@databricks.com> Closes #9499 from marmbrus/dataset-agg.
* [SPARK-7542][SQL] Support off-heap index/sort bufferDavies Liu2015-11-0517-189/+265
| | | | | | | | | | This brings the support of off-heap memory for array inside BytesToBytesMap and InMemorySorter, then we could allocate all the memory from off-heap for execution. Closes #8068 Author: Davies Liu <davies@databricks.com> Closes #9477 from davies/unsafe_timsort.
* [SPARK-11540][SQL] API audit for QueryExecutionListener.Reynold Xin2015-11-052-59/+72
| | | | | | Author: Reynold Xin <rxin@databricks.com> Closes #9509 from rxin/SPARK-11540.
* [SPARK-11538][BUILD] Force guava 14 in sbt build.Marcelo Vanzin2015-11-051-1/+10
| | | | | | | | | sbt's version resolution code always picks the most recent version, and we don't want that for guava. Author: Marcelo Vanzin <vanzin@cloudera.com> Closes #9508 from vanzin/SPARK-11538.
* [SPARK-11457][STREAMING][YARN] Fix incorrect AM proxy filter conf recovery ↵jerryshao2015-11-051-1/+12
| | | | | | | | | | | | | | | | | | | from checkpoint Currently Yarn AM proxy filter configuration is recovered from checkpoint file when Spark Streaming application is restarted, which will lead to some unwanted behaviors: 1. Wrong RM address if RM is redeployed from failure. 2. Wrong proxyBase, since app id is updated, old app id for proxyBase is wrong. So instead of recovering from checkpoint file, these configurations should be reloaded each time when app started. This problem only exists in Yarn cluster mode, for Yarn client mode, these configurations will be updated with RPC message `AddWebUIFilter`. Please help to review tdas harishreedharan vanzin , thanks a lot. Author: jerryshao <sshao@hortonworks.com> Closes #9412 from jerryshao/SPARK-11457.
* [SPARK-11514][ML] Pass random seed to spark.ml DecisionTree*Yu ISHIKAWA2015-11-055-7/+14
| | | | | | | | cc jkbradley Author: Yu ISHIKAWA <yuu.ishikawa@gmail.com> Closes #9486 from yu-iskw/SPARK-11514.
* Revert "[SPARK-11469][SQL] Allow users to define nondeterministic udfs."Reynold Xin2015-11-056-262/+78
| | | | This reverts commit 9cf56c96b7d02a14175d40b336da14c2e1c88339.
* [SPARK-11537] [SQL] fix negative hours/minutes/secondsDavies Liu2015-11-052-8/+28
| | | | | | | | Currently, if the Timestamp is before epoch (1970/01/01), the hours, minutes and seconds will be negative (also rounding up). Author: Davies Liu <davies@databricks.com> Closes #9502 from davies/neg_hour.
* [SPARK-11542] [SPARKR] fix glm with long fomularDavies Liu2015-11-052-1/+14
| | | | | | | | Because deparse() will break the long string into multiple lines, the deserialization will fail Author: Davies Liu <davies@databricks.com> Closes #9510 from davies/fix_glm.
* [SPARK-11536][SQL] Remove the internal implicit conversion from Expression ↵Reynold Xin2015-11-051-281/+299
| | | | | | | | to Column in functions.scala Author: Reynold Xin <rxin@databricks.com> Closes #9505 from rxin/SPARK-11536.
* [SPARK-10656][SQL] completely support special chars in DataFrameWenchen Fan2015-11-052-6/+16
| | | | | | | | | | | | the main problem is: we interpret column name with special handling of `.` for DataFrame. This enables us to write something like `df("a.b")` to get the field `b` of `a`. However, we don't need this feature in `DataFrame.apply("*")` or `DataFrame.withColumnRenamed`. In these 2 cases, the column name is the final name already, we don't need extra process to interpret it. The solution is simple, use `queryExecution.analyzed.output` to get resolved column directly, instead of using `DataFrame.resolve`. close https://github.com/apache/spark/pull/8811 Author: Wenchen Fan <wenchen@databricks.com> Closes #9462 from cloud-fan/special-chars.
* [SPARK-11260][SPARKR] with() function supportadrian5552015-11-055-6/+51
| | | | | | | Author: adrian555 <wzhuang@us.ibm.com> Author: Adrian Zhuang <adrian555@users.noreply.github.com> Closes #9443 from adrian555/with.
* [SPARK-11532][SQL] Remove implicit conversion from Expression to ColumnReynold Xin2015-11-051-52/+66
| | | | | | Author: Reynold Xin <rxin@databricks.com> Closes #9500 from rxin/SPARK-11532.
* [SPARK-10648] Oracle dialect to handle nonspecific numeric typesTravis Hegner2015-11-051-0/+25
| | | | | | | | | | This is the alternative/agreed upon solution to PR #8780. Creating an OracleDialect to handle the nonspecific numeric types that can be defined in oracle. Author: Travis Hegner <thegner@trilliumit.com> Closes #9495 from travishegner/OracleDialect.
generated by cgit v1.2.3 (git 2.39.1) at 2024-09-20 04:18:02 +0000