- Jun 08, 2017
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Mark Grover authored
## What changes were proposed in this pull request? Add a new property `spark.streaming.kafka.consumer.cache.enabled` that allows users to enable or disable the cache for Kafka consumers. This property can be especially handy in cases where issues like SPARK-19185 get hit, for which there isn't a solution committed yet. By default, the cache is still on, so this change doesn't change any out-of-box behavior. ## How was this patch tested? Running unit tests Author: Mark Grover <mark@apache.org> Author: Mark Grover <grover.markgrover@gmail.com> Closes #18234 from markgrover/spark-19185.
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hyukjinkwon authored
# What changes were proposed in this pull request? This PR proposes to close stale PRs, mostly the same instances with https://github.com/apache/spark/pull/18017 Closes #11459 Closes #13833 Closes #13720 Closes #12506 Closes #12456 Closes #12252 Closes #17689 Closes #17791 Closes #18163 Closes #17640 Closes #17926 Closes #18163 Closes #12506 Closes #18044 Closes #14036 Closes #15831 Closes #14461 Closes #17638 Closes #18222 Added: Closes #18045 Closes #18061 Closes #18010 Closes #18041 Closes #18124 Closes #18130 Closes #12217 Added: Closes #16291 Closes #17480 Closes #14995 Added: Closes #12835 Closes #17141 ## How was this patch tested? N/A Author: hyukjinkwon <gurwls223@gmail.com> Closes #18223 from HyukjinKwon/close-stale-prs.
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10087686 authored
Signed-off-by: 10087686 <wang.jiaochunzte.com.cn> ## What changes were proposed in this pull request? When run test("port conflict") case, we need run anotherEnv.shutdown() and anotherEnv.awaitTermination() for free resource. (Please fill in changes proposed in this fix) ## How was this patch tested? run RpcEnvSuit.scala Utest (Please explain how this patch was tested. E.g. unit tests, integration tests, manual tests) (If this patch involves UI changes, please attach a screenshot; otherwise, remove this) Please review http://spark.apache.org/contributing.html before opening a pull request. Author: 10087686 <wang.jiaochun@zte.com.cn> Closes #18226 from wangjiaochun/master. -
Sean Owen authored
## What changes were proposed in this pull request? Fix Java, Scala Dataset examples in scaladoc, which didn't compile. ## How was this patch tested? Existing compilation/test Author: Sean Owen <sowen@cloudera.com> Closes #18215 from srowen/SPARK-20914.
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- Jun 07, 2017
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guoxiaolong authored
[SPARK-20966][WEB-UI][SQL] Table data is not sorted by startTime time desc, time is not formatted and redundant code in JDBC/ODBC Server page. ## What changes were proposed in this pull request? 1. Question 1 : Table data is not sorted by startTime time desc in JDBC/ODBC Server page. fix before :  fix after :  2. Question 2 : time is not formatted in JDBC/ODBC Server page. fix before :  fix after :  3. Question 3 : Redundant code in the ThriftServerSessionPage.scala. The function of 'generateSessionStatsTable' has not been used ## How was this patch tested? manual tests Please review http://spark.apache.org/contributing.html before opening a pull request. Author: guoxiaolong <guo.xiaolong1@zte.com.cn> Author: 郭小龙 10207633 <guo.xiaolong1@zte.com.cn> Author: guoxiaolongzte <guo.xiaolong1@zte.com.cn> Closes #18186 from guoxiaolongzte/SPARK-20966.
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Dongjoon Hyun authored
## What changes were proposed in this pull request? We had better update the deprecation notes about Python 2.6, Hadoop (before 2.6.5) and Scala 2.10 in [2.2.0-RC4](http://people.apache.org/~pwendell/spark-releases/spark-2.2.0-rc4-docs/) documentation. Since this is a doc only update, I think we can update the doc during publishing. **BEFORE (2.2.0-RC4)**  **AFTER**  ## How was this patch tested? Manual. ``` SKIP_API=1 jekyll build ``` Author: Dongjoon Hyun <dongjoon@apache.org> Closes #18207 from dongjoon-hyun/minor_doc_deprecation.
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Bogdan Raducanu authored
## What changes were proposed in this pull request? Removed a duplicate case in "SPARK-20854: select hint syntax with expressions" ## How was this patch tested? Existing tests. Author: Bogdan Raducanu <bogdan@databricks.com> Closes #18217 from bogdanrdc/SPARK-20854-2.
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Wenchen Fan authored
## What changes were proposed in this pull request? `HintInfo.isBroadcastable` is actually not an accurate name, it's used to force the planner to broadcast a plan no matter what the data size is, via the hint mechanism. I think `forceBroadcast` is a better name. And `isBroadcastable` only have 2 possible values: `Some(true)` and `None`, so we can just use boolean type for it. ## How was this patch tested? existing tests. Author: Wenchen Fan <wenchen@databricks.com> Closes #18189 from cloud-fan/stats.
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- Jun 06, 2017
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Marcelo Vanzin authored
This change adds an abstraction and LevelDB implementation for a key-value store that will be used to store UI and SHS data. The interface is described in KVStore.java (see javadoc). Specifics of the LevelDB implementation are discussed in the javadocs of both LevelDB.java and LevelDBTypeInfo.java. Included also are a few small benchmarks just to get some idea of latency. Because they're too slow for regular unit test runs, they're disabled by default. Tested with the included unit tests, and also as part of the overall feature implementation (including running SHS with hundreds of apps). Author: Marcelo Vanzin <vanzin@cloudera.com> Closes #17902 from vanzin/shs-ng/M1.
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Reza Safi authored
[SPARK-20926][SQL] Removing exposures to guava library caused by directly accessing SessionCatalog's tableRelationCache There could be test failures because DataStorageStrategy, HiveMetastoreCatalog and also HiveSchemaInferenceSuite were exposed to guava library by directly accessing SessionCatalog's tableRelationCacheg. These failures occur when guava shading is in place. ## What changes were proposed in this pull request? This change removes those guava exposures by introducing new methods in SessionCatalog and also changing DataStorageStrategy, HiveMetastoreCatalog and HiveSchemaInferenceSuite so that they use those proxy methods. ## How was this patch tested? Unit tests passed after applying these changes. Author: Reza Safi <rezasafi@cloudera.com> Closes #18148 from rezasafi/branch-2.2. (cherry picked from commit 1388fdd7)
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jinxing authored
## What changes were proposed in this pull request? SparkContext should always be stopped after using, thus other tests won't complain that there's only one `SparkContext` can exist. Author: jinxing <jinxing6042@126.com> Closes #18204 from jinxing64/SPARK-20985.
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- Jun 05, 2017
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Feng Liu authored
## What changes were proposed in this pull request? The construction of BROADCAST_TIMEOUT conf should take the TimeUnit argument as a TimeoutConf. Author: Feng Liu <fengliu@databricks.com> Closes #18208 from liufengdb/fix_timeout.
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Shixiong Zhu authored
## What changes were proposed in this pull request? When stopping StreamingQuery, StreamExecution will set `streamDeathCause` then notify StreamingQueryManager to remove this query. So it's possible that when `q2.exception.isDefined` returns `true`, StreamingQueryManager's active list still has `q2`. This PR just puts the checks into `eventually` to fix the flaky test. ## How was this patch tested? Jenkins Author: Shixiong Zhu <shixiong@databricks.com> Closes #18180 from zsxwing/SPARK-20957.
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jerryshao authored
[SPARK-20981][SPARKSUBMIT] Add new configuration spark.jars.repositories as equivalence of --repositories ## What changes were proposed in this pull request? In our use case of launching Spark applications via REST APIs (Livy), there's no way for user to specify command line arguments, all Spark configurations are set through configurations map. For "--repositories" because there's no equivalent Spark configuration, so we cannot specify the custom repository through configuration. So here propose to add "--repositories" equivalent configuration in Spark. ## How was this patch tested? New UT added. Author: jerryshao <sshao@hortonworks.com> Closes #18201 from jerryshao/SPARK-20981.
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sethah authored
## What changes were proposed in this pull request? JIRA: [SPARK-19762](https://issues.apache.org/jira/browse/SPARK-19762) The larger changes in this patch are: * Adds a `DifferentiableLossAggregator` trait which is intended to be used as a common parent trait to all Spark ML aggregator classes. It factors out the common methods: `merge, gradient, loss, weight` from the aggregator subclasses. * Adds a `RDDLossFunction` which is intended to be the only implementation of Breeze's `DiffFunction` necessary in Spark ML, and can be used by all other algorithms. It takes the aggregator type as a type parameter, and maps the aggregator over an RDD. It additionally takes in a optional regularization loss function for applying the differentiable part of regularization. * Factors out the regularization from the data part of the cost function, and treats regularization as a separate independent cost function which can be evaluated and added to the data cost function. * Changes `LinearRegression` to use this new hierarchy as a proof of concept. * Adds the following new namespaces `o.a.s.ml.optim.loss` and `o.a.s.ml.optim.aggregator` Also note that none of these are public-facing changes. All of these classes are internal to Spark ML and remain that way. **NOTE: The large majority of the "lines added" and "lines deleted" are simply code moving around or unit tests.** BTW, I also converted LinearSVC to this framework as a way to prove that this new hierarchy is flexible enough for the other algorithms, but I backed those changes out because the PR is large enough as is. ## How was this patch tested? Test suites are added for the new components, and some test suites are also added to provide coverage where there wasn't any before. * DifferentiablLossAggregatorSuite * LeastSquaresAggregatorSuite * RDDLossFunctionSuite * DifferentiableRegularizationSuite Below are some performance testing numbers. Run on a 6 node virtual cluster with 44 cores and ~110G RAM, the dataset size is about 37G. These are not "large-scale" tests, but we really want to just make sure the iteration times don't increase with this patch. Notably we are doing the regularization a bit differently than before, but that should cost very little. I think there's very little risk otherwise, and these numbers don't show a difference. Of course I'm happy to add more tests as we think it's necessary, but I think the patch is ready for review now. **Note:** timings are best of 3 runs. | | numFeatures | numPoints | maxIter | regParam | elasticNetParam | SPARK-19762 (sec) | master (sec) | |----|---------------|-------------|-----------|------------|-------------------|---------------------|----------------| | 0 | 5000 | 1e+06 | 30 | 0 | 0 | 129.594 | 131.153 | | 1 | 5000 | 1e+06 | 30 | 0.1 | 0 | 135.54 | 136.327 | | 2 | 5000 | 1e+06 | 30 | 0.01 | 0.5 | 135.148 | 129.771 | | 3 | 50000 | 100000 | 30 | 0 | 0 | 145.764 | 144.096 | ## Follow ups If this design is accepted, we will convert the other ML algorithms that use this aggregator pattern to this new hierarchy in follow up PRs. Author: sethah <seth.hendrickson16@gmail.com> Author: sethah <shendrickson@cloudera.com> Closes #17094 from sethah/ml_aggregators.
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Zheng RuiFeng authored
## What changes were proposed in this pull request? Destroy broadcasted centers after computing cost ## How was this patch tested? existing tests Author: Zheng RuiFeng <ruifengz@foxmail.com> Closes #18152 from zhengruifeng/destroy_kmeans_model.
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liupengcheng authored
## What changes were proposed in this pull request? This pull request fix the TaskScheulerImpl bug in some condition. Detail see: https://issues.apache.org/jira/browse/SPARK-20945 (Please fill in changes proposed in this fix) ## How was this patch tested? manual tests (Please explain how this patch was tested. E.g. unit tests, integration tests, manual tests) (If this patch involves UI changes, please attach a screenshot; otherwise, remove this) Please review http://spark.apache.org/contributing.html before opening a pull request. Author: liupengcheng <liupengcheng@xiaomi.com> Author: PengchengLiu <pengchengliu_bupt@163.com> Closes #18171 from liupc/Fix-tid-key-not-found-in-TaskSchedulerImpl.
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- Jun 04, 2017
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Wenchen Fan authored
## What changes were proposed in this pull request? As the first step of https://issues.apache.org/jira/browse/SPARK-20960 , to make `ColumnVector` public, this PR generalize `ColumnVector.dictionary` to not couple with parquet. ## How was this patch tested? existing tests Author: Wenchen Fan <wenchen@databricks.com> Closes #18183 from cloud-fan/dictionary.
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- Jun 03, 2017
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Wieland Hoffmann authored
## What changes were proposed in this pull request? Fixes a typo: `and` -> `an` ## How was this patch tested? Not at all. Author: Wieland Hoffmann <mineo@users.noreply.github.com> Closes #17759 from mineo/patch-1.
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zuotingbing authored
[SPARK-20936][CORE] Lack of an important case about the test of resolveURI in UtilsSuite, and add it as needed. ## What changes were proposed in this pull request? 1. add `assert(resolve(before) === after)` to check before and after in test of resolveURI. the function `assertResolves(before: String, after: String)` have two params, it means we should check the before value whether equals the after value which we want. e.g. the after value of Utils.resolveURI("hdfs:///root/spark.jar#app.jar").toString should be "hdfs:///root/spark.jar#app.jar" rather than "hdfs:/root/spark.jar#app.jar". we need `assert(resolve(before) === after)` to make it more safe. 2. identify the cases between resolveURI and resolveURIs. 3. delete duplicate cases and some small fix make this suit more clear. ## How was this patch tested? unit tests Author: zuotingbing <zuo.tingbing9@zte.com.cn> Closes #18158 from zuotingbing/spark-UtilsSuite. -
David Eis authored
## What changes were proposed in this pull request? Remove extraneous logging. ## How was this patch tested? Unit tests pass. Author: David Eis <deis@bloomberg.net> Closes #18188 from davideis/fix-test.
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Ruben Berenguel Montoro authored
## What changes were proposed in this pull request? Allow fill/replace of NAs with booleans, both in Python and Scala ## How was this patch tested? Unit tests, doctests This PR is original work from me and I license this work to the Spark project Author: Ruben Berenguel Montoro <ruben@mostlymaths.net> Author: Ruben Berenguel <ruben@mostlymaths.net> Closes #18164 from rberenguel/SPARK-19732-fillna-bools.
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- Jun 02, 2017
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Wenchen Fan authored
## What changes were proposed in this pull request? REPL module depends on SQL module, so we should run REPL tests if SQL module has code changes. ## How was this patch tested? N/A Author: Wenchen Fan <wenchen@databricks.com> Closes #18191 from cloud-fan/test.
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Zhenhua Wang authored
## What changes were proposed in this pull request? Usually when using explain cost command, users want to see the stats of plan. Since stats is only showed in optimized plan, it is more direct and convenient to include only optimized plan and physical plan in the output. ## How was this patch tested? Enhanced existing test. Author: Zhenhua Wang <wzh_zju@163.com> Closes #18190 from wzhfy/simplifyExplainCost.
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Xiao Li authored
[MINOR][SQL] Update the description of spark.sql.files.ignoreCorruptFiles and spark.sql.columnNameOfCorruptRecord ### What changes were proposed in this pull request? 1. The description of `spark.sql.files.ignoreCorruptFiles` is not accurate. When the file does not exist, we will issue the error message. ``` org.apache.spark.sql.AnalysisException: Path does not exist: file:/nonexist/path; ``` 2. `spark.sql.columnNameOfCorruptRecord` also affects the CSV format. The current description only mentions JSON format. ### How was this patch tested? N/A Author: Xiao Li <gatorsmile@gmail.com> Closes #18184 from gatorsmile/updateMessage.
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Shixiong Zhu authored
## What changes were proposed in this pull request? In [this line](https://github.com/apache/spark/blob/f7cf2096fdecb8edab61c8973c07c6fc877ee32d/core/src/main/scala/org/apache/spark/scheduler/cluster/CoarseGrainedSchedulerBackend.scala#L128), it uses the `executorId` string received from executors and finally it will go into `TaskUIData`. As deserializing the `executorId` string will always create a new instance, we have a lot of duplicated string instances. This PR does a String interning for TaskUIData to reduce the memory usage. ## How was this patch tested? Manually test using `bin/spark-shell --master local-cluster[6,1,1024]`. Test codes: ``` for (_ <- 1 to 10) { sc.makeRDD(1 to 1000, 1000).count() } Thread.sleep(2000) val l = sc.getClass.getMethod("jobProgressListener").invoke(sc).asInstanceOf[org.apache.spark.ui.jobs.JobProgressListener] org.apache.spark.util.SizeEstimator.estimate(l.stageIdToData) ``` This PR reduces the size of `stageIdToData` from 3487280 to 3009744 (86.3%) in the above case. Author: Shixiong Zhu <shixiong@databricks.com> Closes #18177 from zsxwing/SPARK-20955.
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Wenchen Fan authored
## What changes were proposed in this pull request? The current conf setting logic is a little complex and has duplication, this PR simplifies it. ## How was this patch tested? existing tests. Author: Wenchen Fan <wenchen@databricks.com> Closes #18172 from cloud-fan/session.
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Wenchen Fan authored
## What changes were proposed in this pull request? `SharedState.externalCatalog` is marked as a `lazy val` but actually it's not lazy. We access `externalCatalog` while initializing `SharedState` and thus eliminate the effort of `lazy val`. When creating `ExternalCatalog` we will try to connect to the metastore and may throw an error, so it makes sense to make it a `lazy val` in `SharedState`. ## How was this patch tested? existing tests. Author: Wenchen Fan <wenchen@databricks.com> Closes #18187 from cloud-fan/minor.
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guoxiaolong authored
## What changes were proposed in this pull request? 1.The title style about field is error. fix before:  fix after:   executor-page style:  2.Title text description, 'the application' should be changed to 'this application'. 3.Analysis of code: $('#history-summary [data-toggle="tooltip"]').tooltip(); The id of 'history-summary' is not there. We only contain id of 'history-summary-table'. ## How was this patch tested? manual tests Please review http://spark.apache.org/contributing.html before opening a pull request. Author: guoxiaolong <guo.xiaolong1@zte.com.cn> Author: 郭小龙 10207633 <guo.xiaolong1@zte.com.cn> Author: guoxiaolongzte <guo.xiaolong1@zte.com.cn> Closes #18170 from guoxiaolongzte/SPARK-20942.
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hyukjinkwon authored
## What changes were proposed in this pull request? Currently, if we run `./python/run-tests.py` and they are aborted without cleaning up this directory, it fails pep8 check due to some Python scripts generated. For example, https://github.com/apache/spark/blob/7387126f83dc0489eb1df734bfeba705709b7861/python/pyspark/tests.py#L1955-L1968 ``` PEP8 checks failed. ./work/app-20170531190857-0000/0/test.py:5:55: W292 no newline at end of file ./work/app-20170531190909-0000/0/test.py:5:55: W292 no newline at end of file ./work/app-20170531190924-0000/0/test.py:3:1: E302 expected 2 blank lines, found 1 ./work/app-20170531190924-0000/0/test.py:7:52: W292 no newline at end of file ./work/app-20170531191016-0000/0/test.py:5:55: W292 no newline at end of file ./work/app-20170531191030-0000/0/test.py:5:55: W292 no newline at end of file ./work/app-20170531191045-0000/0/test.py:3:1: E302 expected 2 blank lines, found 1 ./work/app-20170531191045-0000/0/test.py:7:52: W292 no newline at end of file ``` For me, it is sometimes a bit annoying. This PR proposes to exclude these (assuming we want to skip per https://github.com/apache/spark/blob/master/.gitignore#L73). Also, it moves other pep8 configurations in the script into ini configuration file in pep8. ## How was this patch tested? Manually tested via `./dev/lint-python`. Author: hyukjinkwon <gurwls223@gmail.com> Closes #18161 from HyukjinKwon/work-exclude-pep8.
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- Jun 01, 2017
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Bogdan Raducanu authored
## What changes were proposed in this pull request? SQL hint syntax: * support expressions such as strings, numbers, etc. instead of only identifiers as it is currently. * support multiple hints, which was missing compared to the DataFrame syntax. DataFrame API: * support any parameters in DataFrame.hint instead of just strings ## How was this patch tested? Existing tests. New tests in PlanParserSuite. New suite DataFrameHintSuite. Author: Bogdan Raducanu <bogdan@databricks.com> Closes #18086 from bogdanrdc/SPARK-20854.
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Marcelo Vanzin authored
Blindly deserializing classes using Java serialization opens the code up to issues in other libraries, since just deserializing data from a stream may end up execution code (think readObject()). Since the launcher protocol is pretty self-contained, there's just a handful of classes it legitimately needs to deserialize, and they're in just two packages, so add a filter that throws errors if classes from any other package show up in the stream. This also maintains backwards compatibility (the updated launcher code can still communicate with the backend code in older Spark releases). Tested with new and existing unit tests. Author: Marcelo Vanzin <vanzin@cloudera.com> Closes #18166 from vanzin/SPARK-20922.
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Li Yichao authored
In Spark on YARN, when configuring "spark.yarn.jars" with local jars (jars started with "local" scheme), we will get inaccurate classpath for AM and containers. This is because we don't remove "local" scheme when concatenating classpath. It is OK to run because classpath is separated with ":" and java treat "local" as a separate jar. But we could improve it to remove the scheme. Updated `ClientSuite` to check "local" is not in the classpath. cc jerryshao Author: Li Yichao <lyc@zhihu.com> Author: Li Yichao <liyichao.good@gmail.com> Closes #18129 from liyichao/SPARK-20365.
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Xiao Li authored
### What changes were proposed in this pull request? Before this PR, Subquery reuse does not work. Below are three issues: - Subquery reuse does not work. - It is sharing the same `SQLConf` (`spark.sql.exchange.reuse`) with the one for Exchange Reuse. - No test case covers the rule Subquery reuse. This PR is to fix the above three issues. - Ignored the physical operator `SubqueryExec` when comparing two plans. - Added a dedicated conf `spark.sql.subqueries.reuse` for controlling Subquery Reuse - Added a test case for verifying the behavior ### How was this patch tested? N/A Author: Xiao Li <gatorsmile@gmail.com> Closes #18169 from gatorsmile/subqueryReuse.
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John Compitello authored
## What changes were proposed in this pull request? - ~~I added the method `toBlockMatrixDense` to the IndexedRowMatrix class. The current implementation of `toBlockMatrix` is insufficient for users with relatively dense IndexedRowMatrix objects, since it assumes sparsity.~~ EDIT: Ended up deciding that there should be just a single `toBlockMatrix` method, which creates a BlockMatrix whose blocks may be dense or sparse depending on the sparsity of the rows. This method will work better on any current use case of `toBlockMatrix` and doesn't go through `CoordinateMatrix` like the old method. ## How was this patch tested? ~~I used the same tests already written for `toBlockMatrix()` to test this method. I also added a new additional unit test for an edge case that was not adequately tested by current test suite.~~ I ran the original `IndexedRowMatrix` tests, plus wrote more to better handle edge cases ignored by original tests. Author: John Compitello <johnc@broadinstitute.org> Closes #17459 from johnc1231/johnc-fix-ir-to-block.
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Yuming Wang authored
## What changes were proposed in this pull request? Add build-int SQL function - UUID. ## How was this patch tested? unit tests Author: Yuming Wang <wgyumg@gmail.com> Closes #18136 from wangyum/SPARK-20910.
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Yuming Wang authored
## What changes were proposed in this pull request? Fix a few function description error. ## How was this patch tested? manual tests  Author: Yuming Wang <wgyumg@gmail.com> Closes #18157 from wangyum/DescIssues.
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Dongjoon Hyun authored
## What changes were proposed in this pull request? Since [SPARK-9263](https://issues.apache.org/jira/browse/SPARK-9263), `resolveMavenCoordinates` ignores Spark and Spark's dependencies by using `addExclusionRules`. This PR aims to make [addExclusionRules](https://github.com/apache/spark/blob/master/core/src/main/scala/org/apache/spark/deploy/SparkSubmit.scala#L956-L974) up-to-date to neglect correctly because it fails to neglect some components like the following. **mllib (correct)** ``` $ bin/spark-shell --packages org.apache.spark:spark-mllib_2.11:2.1.1 ... --------------------------------------------------------------------- | | modules || artifacts | | conf | number| search|dwnlded|evicted|| number|dwnlded| --------------------------------------------------------------------- | default | 0 | 0 | 0 | 0 || 0 | 0 | --------------------------------------------------------------------- ``` **mllib-local (wrong)** ``` $ bin/spark-shell --packages org.apache.spark:spark-mllib-local_2.11:2.1.1 ... --------------------------------------------------------------------- | | modules || artifacts | | conf | number| search|dwnlded|evicted|| number|dwnlded| --------------------------------------------------------------------- | default | 15 | 2 | 2 | 0 || 15 | 2 | --------------------------------------------------------------------- ``` ## How was this patch tested? Pass the Jenkins with a updated test case. Author: Dongjoon Hyun <dongjoon@apache.org> Closes #17947 from dongjoon-hyun/SPARK-20708.
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jerryshao authored
## What changes were proposed in this pull request? Hadoop FileSystem's statistics in based on thread local variables, this is ok if the RDD computation chain is running in the same thread. But if child RDD creates another thread to consume the iterator got from Hadoop RDDs, the bytesRead computation will be error, because now the iterator's `next()` and `close()` may run in different threads. This could be happened when using PySpark with PythonRDD. So here building a map to track the `bytesRead` for different thread and add them together. This method will be used in three RDDs, `HadoopRDD`, `NewHadoopRDD` and `FileScanRDD`. I assume `FileScanRDD` cannot be called directly, so I only fixed `HadoopRDD` and `NewHadoopRDD`. ## How was this patch tested? Unit test and local cluster verification. Author: jerryshao <sshao@hortonworks.com> Closes #17617 from jerryshao/SPARK-20244.
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