## What changes were proposed in this pull request?
follow-up PR for SPARK-24207 to fix code style problems
Closes#23256 from huaxingao/spark-24207-cnt.
Authored-by: Huaxin Gao <huaxing@us.ibm.com>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
## What changes were proposed in this pull request?
We have deprecated `OneHotEncoder` at Spark 2.3.0 and introduced `OneHotEncoderEstimator`. At 3.0.0, we remove deprecated `OneHotEncoder` and rename `OneHotEncoderEstimator` to `OneHotEncoder`.
TODO: According to ML migration guide, we need to keep `OneHotEncoderEstimator` as an alias after renaming. This is not done at this patch in order to facilitate review.
## How was this patch tested?
Existing tests.
Closes#23100 from viirya/remove_one_hot_encoder.
Authored-by: Liang-Chi Hsieh <viirya@gmail.com>
Signed-off-by: DB Tsai <d_tsai@apple.com>
## What changes were proposed in this pull request?
This PR makes Spark's default Scala version as 2.12, and Scala 2.11 will be the alternative version. This implies that Scala 2.12 will be used by our CI builds including pull request builds.
We'll update the Jenkins to include a new compile-only jobs for Scala 2.11 to ensure the code can be still compiled with Scala 2.11.
## How was this patch tested?
existing tests
Closes#22967 from dbtsai/scala2.12.
Authored-by: DB Tsai <d_tsai@apple.com>
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
…. Other related changes to get JDK 11 working, to test
## What changes were proposed in this pull request?
- Access `sun.misc.Cleaner` (Java 8) and `jdk.internal.ref.Cleaner` (JDK 9+) by reflection (note: the latter only works if illegal reflective access is allowed)
- Access `sun.misc.Unsafe.invokeCleaner` in Java 9+ instead of `sun.misc.Cleaner` (Java 8)
In order to test anything on JDK 11, I also fixed a few small things, which I include here:
- Fix minor JDK 11 compile issues
- Update scala plugin, Jetty for JDK 11, to facilitate tests too
This doesn't mean JDK 11 tests all pass now, but lots do. Note also that the JDK 9+ solution for the Cleaner has a big caveat.
## How was this patch tested?
Existing tests. Manually tested JDK 11 build and tests, and tests covering this change appear to pass. All Java 8 tests should still pass, but this change alone does not achieve full JDK 11 compatibility.
Closes#22993 from srowen/SPARK-24421.
Authored-by: Sean Owen <sean.owen@databricks.com>
Signed-off-by: Sean Owen <sean.owen@databricks.com>
## What changes were proposed in this pull request?
Using `computeCost` for evaluating a model is a very poor approach. We should advice the users to a better approach which is available, ie. using the `ClusteringEvaluator` to evaluate their models. The PR updates the examples for `BisectingKMeans` in order to do that.
## How was this patch tested?
running examples
Closes#22786 from mgaido91/SPARK-25764.
Authored-by: Marco Gaido <marcogaido91@gmail.com>
Signed-off-by: DB Tsai <d_tsai@apple.com>
## What changes were proposed in this pull request?
Our current doc does not explain how we are passing the data source specific options to the underlying data source. According to [the review comment](https://github.com/apache/spark/pull/22622#discussion_r222911529), this PR aims to add more detailed information and examples
## How was this patch tested?
Manual.
Closes#22801 from dongjoon-hyun/SPARK-25656.
Authored-by: Dongjoon Hyun <dongjoon@apache.org>
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
## What changes were proposed in this pull request?
add R API for PrefixSpan
## How was this patch tested?
add test in test_mllib_fpm.R
Author: Huaxin Gao <huaxing@us.ibm.com>
Closes#21710 from huaxingao/spark-24207.
## What changes were proposed in this pull request?
The PR updates the examples for `BisectingKMeans` so that they don't use the deprecated method `computeCost` (see SPARK-25758).
## How was this patch tested?
running examples
Closes#22763 from mgaido91/SPARK-25764.
Authored-by: Marco Gaido <marcogaido91@gmail.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
## What changes were proposed in this pull request?
Remove Kafka 0.8 integration
## How was this patch tested?
Existing tests, build scripts
Closes#22703 from srowen/SPARK-25705.
Authored-by: Sean Owen <sean.owen@databricks.com>
Signed-off-by: Sean Owen <sean.owen@databricks.com>
## What changes were proposed in this pull request?
This is the work on setting up Secure HDFS interaction with Spark-on-K8S.
The architecture is discussed in this community-wide google [doc](https://docs.google.com/document/d/1RBnXD9jMDjGonOdKJ2bA1lN4AAV_1RwpU_ewFuCNWKg)
This initiative can be broken down into 4 Stages
**STAGE 1**
- [x] Detecting `HADOOP_CONF_DIR` environmental variable and using Config Maps to store all Hadoop config files locally, while also setting `HADOOP_CONF_DIR` locally in the driver / executors
**STAGE 2**
- [x] Grabbing `TGT` from `LTC` or using keytabs+principle and creating a `DT` that will be mounted as a secret or using a pre-populated secret
**STAGE 3**
- [x] Driver
**STAGE 4**
- [x] Executor
## How was this patch tested?
Locally tested on a single-noded, pseudo-distributed Kerberized Hadoop Cluster
- [x] E2E Integration tests https://github.com/apache/spark/pull/22608
- [ ] Unit tests
## Docs and Error Handling?
- [x] Docs
- [x] Error Handling
## Contribution Credit
kimoonkim skonto
Closes#21669 from ifilonenko/secure-hdfs.
Lead-authored-by: Ilan Filonenko <if56@cornell.edu>
Co-authored-by: Ilan Filonenko <ifilondz@gmail.com>
Signed-off-by: Marcelo Vanzin <vanzin@cloudera.com>
## What changes were proposed in this pull request?
Removes all vestiges of Flume in the build, for Spark 3.
I don't think this needs Jenkins config changes.
## How was this patch tested?
Existing tests.
Closes#22692 from srowen/SPARK-25598.
Authored-by: Sean Owen <sean.owen@databricks.com>
Signed-off-by: Sean Owen <sean.owen@databricks.com>
## What changes were proposed in this pull request?
This patch is to bump the master branch version to 3.0.0-SNAPSHOT.
## How was this patch tested?
N/A
Closes#22606 from gatorsmile/bump3.0.
Authored-by: gatorsmile <gatorsmile@gmail.com>
Signed-off-by: gatorsmile <gatorsmile@gmail.com>
## What changes were proposed in this pull request?
In the dev list, we can still discuss whether the next version is 2.5.0 or 3.0.0. Let us first bump the master branch version to `2.5.0-SNAPSHOT`.
## How was this patch tested?
N/A
Closes#22426 from gatorsmile/bumpVersionMaster.
Authored-by: gatorsmile <gatorsmile@gmail.com>
Signed-off-by: gatorsmile <gatorsmile@gmail.com>
## What changes were proposed in this pull request?
Add spark.executor.pyspark.memory limit for K8S
## How was this patch tested?
Unit and Integration tests
Closes#22298 from ifilonenko/SPARK-25021.
Authored-by: Ilan Filonenko <if56@cornell.edu>
Signed-off-by: Holden Karau <holden@pigscanfly.ca>
## What changes were proposed in this pull request?
An RDD is created using LabeledPoint, but the comment is like #LabeledPoint(feature, label).
Although in the method ChiSquareTest.test, the second parameter is feature and the third parameter is label, it it better to write label in front of feature here because if an RDD is created using LabeldPoint, what we get are actually (label, feature) pairs.
Now it is changed as LabeledPoint(label, feature).
The comments in Scala and Java example have the same typos.
## How was this patch tested?
tested
https://issues.apache.org/jira/browse/SPARK-24688
Author: Weizhe Huang 492816239qq.com
Please review http://spark.apache.org/contributing.html before opening a pull request.
Closes#21665 from uzmijnlm/my_change.
Authored-by: Huangweizhe <huangweizhe@bbdservice.com>
Signed-off-by: Sean Owen <sean.owen@databricks.com>
## What changes were proposed in this pull request?
Fixing typos is sometimes very hard. It's not so easy to visually review them. Recently, I discovered a very useful tool for it, [misspell](https://github.com/client9/misspell).
This pull request fixes minor typos detected by [misspell](https://github.com/client9/misspell) except for the false positives. If you would like me to work on other files as well, let me know.
## How was this patch tested?
### before
```
$ misspell . | grep -v '.js'
R/pkg/R/SQLContext.R:354:43: "definiton" is a misspelling of "definition"
R/pkg/R/SQLContext.R:424:43: "definiton" is a misspelling of "definition"
R/pkg/R/SQLContext.R:445:43: "definiton" is a misspelling of "definition"
R/pkg/R/SQLContext.R:495:43: "definiton" is a misspelling of "definition"
NOTICE-binary:454:16: "containd" is a misspelling of "contained"
R/pkg/R/context.R:46:43: "definiton" is a misspelling of "definition"
R/pkg/R/context.R:74:43: "definiton" is a misspelling of "definition"
R/pkg/R/DataFrame.R:591:48: "persistance" is a misspelling of "persistence"
R/pkg/R/streaming.R:166:44: "occured" is a misspelling of "occurred"
R/pkg/inst/worker/worker.R:65:22: "ouput" is a misspelling of "output"
R/pkg/tests/fulltests/test_utils.R:106:25: "environemnt" is a misspelling of "environment"
common/kvstore/src/test/java/org/apache/spark/util/kvstore/InMemoryStoreSuite.java:38:39: "existant" is a misspelling of "existent"
common/kvstore/src/test/java/org/apache/spark/util/kvstore/LevelDBSuite.java:83:39: "existant" is a misspelling of "existent"
common/network-common/src/main/java/org/apache/spark/network/crypto/TransportCipher.java:243:46: "transfered" is a misspelling of "transferred"
common/network-common/src/main/java/org/apache/spark/network/sasl/SaslEncryption.java:234:19: "transfered" is a misspelling of "transferred"
common/network-common/src/main/java/org/apache/spark/network/sasl/SaslEncryption.java:238:63: "transfered" is a misspelling of "transferred"
common/network-common/src/main/java/org/apache/spark/network/sasl/SaslEncryption.java:244:46: "transfered" is a misspelling of "transferred"
common/network-common/src/main/java/org/apache/spark/network/sasl/SaslEncryption.java:276:39: "transfered" is a misspelling of "transferred"
common/network-common/src/main/java/org/apache/spark/network/util/AbstractFileRegion.java:27:20: "transfered" is a misspelling of "transferred"
common/unsafe/src/test/scala/org/apache/spark/unsafe/types/UTF8StringPropertyCheckSuite.scala:195:15: "orgin" is a misspelling of "origin"
core/src/main/scala/org/apache/spark/api/python/PythonRDD.scala:621:39: "gauranteed" is a misspelling of "guaranteed"
core/src/main/scala/org/apache/spark/status/storeTypes.scala:113:29: "ect" is a misspelling of "etc"
core/src/main/scala/org/apache/spark/storage/DiskStore.scala:282:18: "transfered" is a misspelling of "transferred"
core/src/main/scala/org/apache/spark/util/ListenerBus.scala:64:17: "overriden" is a misspelling of "overridden"
core/src/test/scala/org/apache/spark/ShuffleSuite.scala:211:7: "substracted" is a misspelling of "subtracted"
core/src/test/scala/org/apache/spark/scheduler/DAGSchedulerSuite.scala:1922:49: "agriculteur" is a misspelling of "agriculture"
core/src/test/scala/org/apache/spark/scheduler/DAGSchedulerSuite.scala:2468:84: "truely" is a misspelling of "truly"
core/src/test/scala/org/apache/spark/storage/FlatmapIteratorSuite.scala:25:18: "persistance" is a misspelling of "persistence"
core/src/test/scala/org/apache/spark/storage/FlatmapIteratorSuite.scala:26:69: "persistance" is a misspelling of "persistence"
data/streaming/AFINN-111.txt:1219:0: "humerous" is a misspelling of "humorous"
dev/run-pip-tests:55:28: "enviroments" is a misspelling of "environments"
dev/run-pip-tests:91:37: "virutal" is a misspelling of "virtual"
dev/merge_spark_pr.py:377:72: "accross" is a misspelling of "across"
dev/merge_spark_pr.py:378:66: "accross" is a misspelling of "across"
dev/run-pip-tests:126:25: "enviroments" is a misspelling of "environments"
docs/configuration.md:1830:82: "overriden" is a misspelling of "overridden"
docs/structured-streaming-programming-guide.md:525:45: "processs" is a misspelling of "processes"
docs/structured-streaming-programming-guide.md:1165:61: "BETWEN" is a misspelling of "BETWEEN"
docs/sql-programming-guide.md:1891:810: "behaivor" is a misspelling of "behavior"
examples/src/main/python/sql/arrow.py:98:8: "substract" is a misspelling of "subtract"
examples/src/main/python/sql/arrow.py:103:27: "substract" is a misspelling of "subtract"
licenses/LICENSE-heapq.txt:5:63: "Stichting" is a misspelling of "Stitching"
licenses/LICENSE-heapq.txt:6:2: "Mathematisch" is a misspelling of "Mathematics"
licenses/LICENSE-heapq.txt:262:29: "Stichting" is a misspelling of "Stitching"
licenses/LICENSE-heapq.txt:262:39: "Mathematisch" is a misspelling of "Mathematics"
licenses/LICENSE-heapq.txt:269:49: "Stichting" is a misspelling of "Stitching"
licenses/LICENSE-heapq.txt:269:59: "Mathematisch" is a misspelling of "Mathematics"
licenses/LICENSE-heapq.txt:274:2: "STICHTING" is a misspelling of "STITCHING"
licenses/LICENSE-heapq.txt:274:12: "MATHEMATISCH" is a misspelling of "MATHEMATICS"
licenses/LICENSE-heapq.txt:276:29: "STICHTING" is a misspelling of "STITCHING"
licenses/LICENSE-heapq.txt:276:39: "MATHEMATISCH" is a misspelling of "MATHEMATICS"
licenses-binary/LICENSE-heapq.txt:5:63: "Stichting" is a misspelling of "Stitching"
licenses-binary/LICENSE-heapq.txt:6:2: "Mathematisch" is a misspelling of "Mathematics"
licenses-binary/LICENSE-heapq.txt:262:29: "Stichting" is a misspelling of "Stitching"
licenses-binary/LICENSE-heapq.txt:262:39: "Mathematisch" is a misspelling of "Mathematics"
licenses-binary/LICENSE-heapq.txt:269:49: "Stichting" is a misspelling of "Stitching"
licenses-binary/LICENSE-heapq.txt:269:59: "Mathematisch" is a misspelling of "Mathematics"
licenses-binary/LICENSE-heapq.txt:274:2: "STICHTING" is a misspelling of "STITCHING"
licenses-binary/LICENSE-heapq.txt:274:12: "MATHEMATISCH" is a misspelling of "MATHEMATICS"
licenses-binary/LICENSE-heapq.txt:276:29: "STICHTING" is a misspelling of "STITCHING"
licenses-binary/LICENSE-heapq.txt:276:39: "MATHEMATISCH" is a misspelling of "MATHEMATICS"
mllib/src/main/resources/org/apache/spark/ml/feature/stopwords/hungarian.txt:170:0: "teh" is a misspelling of "the"
mllib/src/main/resources/org/apache/spark/ml/feature/stopwords/portuguese.txt:53:0: "eles" is a misspelling of "eels"
mllib/src/main/scala/org/apache/spark/ml/stat/Summarizer.scala:99:20: "Euclidian" is a misspelling of "Euclidean"
mllib/src/main/scala/org/apache/spark/ml/stat/Summarizer.scala:539:11: "Euclidian" is a misspelling of "Euclidean"
mllib/src/main/scala/org/apache/spark/mllib/clustering/LDAOptimizer.scala:77:36: "Teh" is a misspelling of "The"
mllib/src/main/scala/org/apache/spark/mllib/clustering/StreamingKMeans.scala:230:24: "inital" is a misspelling of "initial"
mllib/src/main/scala/org/apache/spark/mllib/stat/MultivariateOnlineSummarizer.scala:276:9: "Euclidian" is a misspelling of "Euclidean"
mllib/src/test/scala/org/apache/spark/ml/clustering/KMeansSuite.scala:237:26: "descripiton" is a misspelling of "descriptions"
python/pyspark/find_spark_home.py:30:13: "enviroment" is a misspelling of "environment"
python/pyspark/context.py:937:12: "supress" is a misspelling of "suppress"
python/pyspark/context.py:938:12: "supress" is a misspelling of "suppress"
python/pyspark/context.py:939:12: "supress" is a misspelling of "suppress"
python/pyspark/context.py:940:12: "supress" is a misspelling of "suppress"
python/pyspark/heapq3.py:6:63: "Stichting" is a misspelling of "Stitching"
python/pyspark/heapq3.py:7:2: "Mathematisch" is a misspelling of "Mathematics"
python/pyspark/heapq3.py:263:29: "Stichting" is a misspelling of "Stitching"
python/pyspark/heapq3.py:263:39: "Mathematisch" is a misspelling of "Mathematics"
python/pyspark/heapq3.py:270:49: "Stichting" is a misspelling of "Stitching"
python/pyspark/heapq3.py:270:59: "Mathematisch" is a misspelling of "Mathematics"
python/pyspark/heapq3.py:275:2: "STICHTING" is a misspelling of "STITCHING"
python/pyspark/heapq3.py:275:12: "MATHEMATISCH" is a misspelling of "MATHEMATICS"
python/pyspark/heapq3.py:277:29: "STICHTING" is a misspelling of "STITCHING"
python/pyspark/heapq3.py:277:39: "MATHEMATISCH" is a misspelling of "MATHEMATICS"
python/pyspark/heapq3.py:713:8: "probabilty" is a misspelling of "probability"
python/pyspark/ml/clustering.py:1038:8: "Currenlty" is a misspelling of "Currently"
python/pyspark/ml/stat.py:339:23: "Euclidian" is a misspelling of "Euclidean"
python/pyspark/ml/regression.py:1378:20: "paramter" is a misspelling of "parameter"
python/pyspark/mllib/stat/_statistics.py:262:8: "probabilty" is a misspelling of "probability"
python/pyspark/rdd.py:1363:32: "paramter" is a misspelling of "parameter"
python/pyspark/streaming/tests.py:825:42: "retuns" is a misspelling of "returns"
python/pyspark/sql/tests.py:768:29: "initalization" is a misspelling of "initialization"
python/pyspark/sql/tests.py:3616:31: "initalize" is a misspelling of "initialize"
resource-managers/mesos/src/main/scala/org/apache/spark/scheduler/cluster/mesos/MesosSchedulerBackendUtil.scala:120:39: "arbitary" is a misspelling of "arbitrary"
resource-managers/mesos/src/test/scala/org/apache/spark/deploy/mesos/MesosClusterDispatcherArgumentsSuite.scala:26:45: "sucessfully" is a misspelling of "successfully"
resource-managers/mesos/src/main/scala/org/apache/spark/scheduler/cluster/mesos/MesosSchedulerUtils.scala:358:27: "constaints" is a misspelling of "constraints"
resource-managers/yarn/src/test/scala/org/apache/spark/deploy/yarn/YarnClusterSuite.scala:111:24: "senstive" is a misspelling of "sensitive"
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/catalog/SessionCatalog.scala:1063:5: "overwirte" is a misspelling of "overwrite"
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/datetimeExpressions.scala:1348:17: "compatability" is a misspelling of "compatibility"
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/basicLogicalOperators.scala:77:36: "paramter" is a misspelling of "parameter"
sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala:1374:22: "precendence" is a misspelling of "precedence"
sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/analysis/AnalysisSuite.scala:238:27: "unnecassary" is a misspelling of "unnecessary"
sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/ConditionalExpressionSuite.scala:212:17: "whn" is a misspelling of "when"
sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/StreamingSymmetricHashJoinHelper.scala:147:60: "timestmap" is a misspelling of "timestamp"
sql/core/src/test/scala/org/apache/spark/sql/TPCDSQuerySuite.scala:150:45: "precentage" is a misspelling of "percentage"
sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/csv/CSVInferSchemaSuite.scala:135:29: "infered" is a misspelling of "inferred"
sql/hive/src/test/resources/golden/udf_instr-1-2e76f819563dbaba4beb51e3a130b922:1:52: "occurance" is a misspelling of "occurrence"
sql/hive/src/test/resources/golden/udf_instr-2-32da357fc754badd6e3898dcc8989182:1:52: "occurance" is a misspelling of "occurrence"
sql/hive/src/test/resources/golden/udf_locate-1-6e41693c9c6dceea4d7fab4c02884e4e:1:63: "occurance" is a misspelling of "occurrence"
sql/hive/src/test/resources/golden/udf_locate-2-d9b5934457931447874d6bb7c13de478:1:63: "occurance" is a misspelling of "occurrence"
sql/hive/src/test/resources/golden/udf_translate-2-f7aa38a33ca0df73b7a1e6b6da4b7fe8:9:79: "occurence" is a misspelling of "occurrence"
sql/hive/src/test/resources/golden/udf_translate-2-f7aa38a33ca0df73b7a1e6b6da4b7fe8:13:110: "occurence" is a misspelling of "occurrence"
sql/hive/src/test/resources/ql/src/test/queries/clientpositive/annotate_stats_join.q:46:105: "distint" is a misspelling of "distinct"
sql/hive/src/test/resources/ql/src/test/queries/clientpositive/auto_sortmerge_join_11.q:29:3: "Currenly" is a misspelling of "Currently"
sql/hive/src/test/resources/ql/src/test/queries/clientpositive/avro_partitioned.q:72:15: "existant" is a misspelling of "existent"
sql/hive/src/test/resources/ql/src/test/queries/clientpositive/decimal_udf.q:25:3: "substraction" is a misspelling of "subtraction"
sql/hive/src/test/resources/ql/src/test/queries/clientpositive/groupby2_map_multi_distinct.q:16:51: "funtion" is a misspelling of "function"
sql/hive/src/test/resources/ql/src/test/queries/clientpositive/groupby_sort_8.q:15:30: "issueing" is a misspelling of "issuing"
sql/hive/src/test/scala/org/apache/spark/sql/sources/HadoopFsRelationTest.scala:669:52: "wiht" is a misspelling of "with"
sql/hive-thriftserver/src/main/java/org/apache/hive/service/cli/session/HiveSessionImpl.java:474:9: "Refering" is a misspelling of "Referring"
```
### after
```
$ misspell . | grep -v '.js'
common/network-common/src/main/java/org/apache/spark/network/util/AbstractFileRegion.java:27:20: "transfered" is a misspelling of "transferred"
core/src/main/scala/org/apache/spark/status/storeTypes.scala:113:29: "ect" is a misspelling of "etc"
core/src/test/scala/org/apache/spark/scheduler/DAGSchedulerSuite.scala:1922:49: "agriculteur" is a misspelling of "agriculture"
data/streaming/AFINN-111.txt:1219:0: "humerous" is a misspelling of "humorous"
licenses/LICENSE-heapq.txt:5:63: "Stichting" is a misspelling of "Stitching"
licenses/LICENSE-heapq.txt:6:2: "Mathematisch" is a misspelling of "Mathematics"
licenses/LICENSE-heapq.txt:262:29: "Stichting" is a misspelling of "Stitching"
licenses/LICENSE-heapq.txt:262:39: "Mathematisch" is a misspelling of "Mathematics"
licenses/LICENSE-heapq.txt:269:49: "Stichting" is a misspelling of "Stitching"
licenses/LICENSE-heapq.txt:269:59: "Mathematisch" is a misspelling of "Mathematics"
licenses/LICENSE-heapq.txt:274:2: "STICHTING" is a misspelling of "STITCHING"
licenses/LICENSE-heapq.txt:274:12: "MATHEMATISCH" is a misspelling of "MATHEMATICS"
licenses/LICENSE-heapq.txt:276:29: "STICHTING" is a misspelling of "STITCHING"
licenses/LICENSE-heapq.txt:276:39: "MATHEMATISCH" is a misspelling of "MATHEMATICS"
licenses-binary/LICENSE-heapq.txt:5:63: "Stichting" is a misspelling of "Stitching"
licenses-binary/LICENSE-heapq.txt:6:2: "Mathematisch" is a misspelling of "Mathematics"
licenses-binary/LICENSE-heapq.txt:262:29: "Stichting" is a misspelling of "Stitching"
licenses-binary/LICENSE-heapq.txt:262:39: "Mathematisch" is a misspelling of "Mathematics"
licenses-binary/LICENSE-heapq.txt:269:49: "Stichting" is a misspelling of "Stitching"
licenses-binary/LICENSE-heapq.txt:269:59: "Mathematisch" is a misspelling of "Mathematics"
licenses-binary/LICENSE-heapq.txt:274:2: "STICHTING" is a misspelling of "STITCHING"
licenses-binary/LICENSE-heapq.txt:274:12: "MATHEMATISCH" is a misspelling of "MATHEMATICS"
licenses-binary/LICENSE-heapq.txt:276:29: "STICHTING" is a misspelling of "STITCHING"
licenses-binary/LICENSE-heapq.txt:276:39: "MATHEMATISCH" is a misspelling of "MATHEMATICS"
mllib/src/main/resources/org/apache/spark/ml/feature/stopwords/hungarian.txt:170:0: "teh" is a misspelling of "the"
mllib/src/main/resources/org/apache/spark/ml/feature/stopwords/portuguese.txt:53:0: "eles" is a misspelling of "eels"
mllib/src/main/scala/org/apache/spark/ml/stat/Summarizer.scala:99:20: "Euclidian" is a misspelling of "Euclidean"
mllib/src/main/scala/org/apache/spark/ml/stat/Summarizer.scala:539:11: "Euclidian" is a misspelling of "Euclidean"
mllib/src/main/scala/org/apache/spark/mllib/clustering/LDAOptimizer.scala:77:36: "Teh" is a misspelling of "The"
mllib/src/main/scala/org/apache/spark/mllib/stat/MultivariateOnlineSummarizer.scala:276:9: "Euclidian" is a misspelling of "Euclidean"
python/pyspark/heapq3.py:6:63: "Stichting" is a misspelling of "Stitching"
python/pyspark/heapq3.py:7:2: "Mathematisch" is a misspelling of "Mathematics"
python/pyspark/heapq3.py:263:29: "Stichting" is a misspelling of "Stitching"
python/pyspark/heapq3.py:263:39: "Mathematisch" is a misspelling of "Mathematics"
python/pyspark/heapq3.py:270:49: "Stichting" is a misspelling of "Stitching"
python/pyspark/heapq3.py:270:59: "Mathematisch" is a misspelling of "Mathematics"
python/pyspark/heapq3.py:275:2: "STICHTING" is a misspelling of "STITCHING"
python/pyspark/heapq3.py:275:12: "MATHEMATISCH" is a misspelling of "MATHEMATICS"
python/pyspark/heapq3.py:277:29: "STICHTING" is a misspelling of "STITCHING"
python/pyspark/heapq3.py:277:39: "MATHEMATISCH" is a misspelling of "MATHEMATICS"
python/pyspark/ml/stat.py:339:23: "Euclidian" is a misspelling of "Euclidean"
```
Closes#22070 from seratch/fix-typo.
Authored-by: Kazuhiro Sera <seratch@gmail.com>
Signed-off-by: Sean Owen <srowen@gmail.com>
## What changes were proposed in this pull request?
Update Pandas UDFs section in sql-programming-guide. Add section for grouped aggregate pandas UDF.
## How was this patch tested?
Author: Li Jin <ice.xelloss@gmail.com>
Closes#21887 from icexelloss/SPARK-23633-sql-programming-guide.
## What changes were proposed in this pull request?
Add some required configs for Kafka consumer in JavaDirectKafkaWordCount class.
## How was this patch tested?
Manual tests on Local mode.
Author: cluo <0512lc@163.com>
Closes#21717 from cluo512/SPARK-24743-update-JavaDirectKafkaWordCount.
## What changes were proposed in this pull request?
Introducing Python Bindings for PySpark.
- [x] Running PySpark Jobs
- [x] Increased Default Memory Overhead value
- [ ] Dependency Management for virtualenv/conda
## How was this patch tested?
This patch was tested with
- [x] Unit Tests
- [x] Integration tests with [this addition](https://github.com/apache-spark-on-k8s/spark-integration/pull/46)
```
KubernetesSuite:
- Run SparkPi with no resources
- Run SparkPi with a very long application name.
- Run SparkPi with a master URL without a scheme.
- Run SparkPi with an argument.
- Run SparkPi with custom labels, annotations, and environment variables.
- Run SparkPi with a test secret mounted into the driver and executor pods
- Run extraJVMOptions check on driver
- Run SparkRemoteFileTest using a remote data file
- Run PySpark on simple pi.py example
- Run PySpark with Python2 to test a pyfiles example
- Run PySpark with Python3 to test a pyfiles example
Run completed in 4 minutes, 28 seconds.
Total number of tests run: 11
Suites: completed 2, aborted 0
Tests: succeeded 11, failed 0, canceled 0, ignored 0, pending 0
All tests passed.
```
Author: Ilan Filonenko <if56@cornell.edu>
Author: Ilan Filonenko <ifilondz@gmail.com>
Closes#21092 from ifilonenko/master.
## What changes were proposed in this pull request?
Added example code for Power Iteration Clustering in Spark ML examples
Author: Shahid <shahidki31@gmail.com>
Closes#21248 from shahidki31/sparkCommit.
## What changes were proposed in this pull request?
Java example code for Power Iteration Clustering in spark.ml
## How was this patch tested?
Locally tested
Author: Shahid <shahidki31@gmail.com>
Closes#21283 from shahidki31/JavaPicExample.
## What changes were proposed in this pull request?
Kafka partitions can be revoked when new consumers joined in the consumer group to rebalance the partitions. But current Spark Kafka connector code makes sure there's no partition revoking scenarios, so trying to get latest offset from revoked partitions will throw exceptions as JIRA mentioned.
Partition revoking happens when new consumer joined the consumer group, which means different streaming apps are trying to use same group id. This is fundamentally not correct, different apps should use different consumer group. So instead of throwing an confused exception from Kafka, improve the exception message by identifying revoked partition and directly throw an meaningful exception when partition is revoked.
Besides, this PR also fixes bugs in `DirectKafkaWordCount`, this example simply cannot be worked without the fix.
```
8/01/05 09:48:27 INFO internals.ConsumerCoordinator: Revoking previously assigned partitions [kssh-7, kssh-4, kssh-3, kssh-6, kssh-5, kssh-0, kssh-2, kssh-1] for group use_a_separate_group_id_for_each_stream
18/01/05 09:48:27 INFO internals.AbstractCoordinator: (Re-)joining group use_a_separate_group_id_for_each_stream
18/01/05 09:48:27 INFO internals.AbstractCoordinator: Successfully joined group use_a_separate_group_id_for_each_stream with generation 4
18/01/05 09:48:27 INFO internals.ConsumerCoordinator: Setting newly assigned partitions [kssh-7, kssh-4, kssh-6, kssh-5] for group use_a_separate_group_id_for_each_stream
```
## How was this patch tested?
This is manually verified in local cluster, unfortunately I'm not sure how to simulate it in UT, so propose the PR without UT added.
Author: jerryshao <sshao@hortonworks.com>
Closes#21038 from jerryshao/SPARK-22968.
## What changes were proposed in this pull request?
Removal of the init-container for downloading remote dependencies. Built off of the work done by vanzin in an attempt to refactor driver/executor configuration elaborated in [this](https://issues.apache.org/jira/browse/SPARK-22839) ticket.
## How was this patch tested?
This patch was tested with unit and integration tests.
Author: Ilan Filonenko <if56@cornell.edu>
Closes#20669 from ifilonenko/remove-init-container.
Signed-off-by: DylanGuedes <djmgguedesgmail.com>
## What changes were proposed in this pull request?
Changes variable name conflict: [input is a built-in python function](https://stackoverflow.com/questions/20670732/is-input-a-keyword-in-python).
## How was this patch tested?
I runned the example and it works fine.
Author: DylanGuedes <djmgguedes@gmail.com>
Closes#20775 from DylanGuedes/input_variable.
The exit() builtin is only for interactive use. applications should use sys.exit().
## What changes were proposed in this pull request?
All usage of the builtin `exit()` function is replaced by `sys.exit()`.
## How was this patch tested?
I ran `python/run-tests`.
Please review http://spark.apache.org/contributing.html before opening a pull request.
Author: Benjamin Peterson <benjamin@python.org>
Closes#20682 from benjaminp/sys-exit.
From [PEP 257](https://www.python.org/dev/peps/pep-0257/):
> For consistency, always use """triple double quotes""" around docstrings. Use r"""raw triple double quotes""" if you use any backslashes in your docstrings. For Unicode docstrings, use u"""Unicode triple-quoted strings""".
For example, this is what help (kafka_wordcount) shows:
```
DESCRIPTION
Counts words in UTF8 encoded, '
' delimited text received from the network every second.
Usage: kafka_wordcount.py <zk> <topic>
To run this on your local machine, you need to setup Kafka and create a producer first, see
http://kafka.apache.org/documentation.html#quickstart
and then run the example
`$ bin/spark-submit --jars external/kafka-assembly/target/scala-*/spark-streaming-kafka-assembly-*.jar examples/src/main/python/streaming/kafka_wordcount.py localhost:2181 test`
```
This is what it shows, after the fix:
```
DESCRIPTION
Counts words in UTF8 encoded, '\n' delimited text received from the network every second.
Usage: kafka_wordcount.py <zk> <topic>
To run this on your local machine, you need to setup Kafka and create a producer first, see
http://kafka.apache.org/documentation.html#quickstart
and then run the example
`$ bin/spark-submit --jars \
external/kafka-assembly/target/scala-*/spark-streaming-kafka-assembly-*.jar \
examples/src/main/python/streaming/kafka_wordcount.py \
localhost:2181 test`
```
The thing worth noticing is no linebreak here in the help.
## What changes were proposed in this pull request?
Change triple double quotes to raw triple double quotes when there are occurrences of backslashes in docstrings.
## How was this patch tested?
Manually as this is a doc fix.
Author: Shashwat Anand <me@shashwat.me>
Closes#20497 from ashashwat/docstring-fixes.
## What changes were proposed in this pull request?
Rename the public APIs and names of pandas udfs.
- `PANDAS SCALAR UDF` -> `SCALAR PANDAS UDF`
- `PANDAS GROUP MAP UDF` -> `GROUPED MAP PANDAS UDF`
- `PANDAS GROUP AGG UDF` -> `GROUPED AGG PANDAS UDF`
## How was this patch tested?
The existing tests
Author: gatorsmile <gatorsmile@gmail.com>
Closes#20428 from gatorsmile/renamePandasUDFs.
## What changes were proposed in this pull request?
User guide and examples are updated to reflect multiclass logistic regression summary which was added in [SPARK-17139](https://issues.apache.org/jira/browse/SPARK-17139).
I did not make a separate summary example, but added the summary code to the multiclass example that already existed. I don't see the need for a separate example for the summary.
## How was this patch tested?
Docs and examples only. Ran all examples locally using spark-submit.
Author: sethah <shendrickson@cloudera.com>
Closes#20332 from sethah/multiclass_summary_example.
## What changes were proposed in this pull request?
Adding user facing documentation for working with Arrow in Spark
Author: Bryan Cutler <cutlerb@gmail.com>
Author: Li Jin <ice.xelloss@gmail.com>
Author: hyukjinkwon <gurwls223@gmail.com>
Closes#19575 from BryanCutler/arrow-user-docs-SPARK-2221.
## What changes were proposed in this pull request?
This PR proposes to relocate the docstrings in modules of examples to the top. Seems these are mistakes. So, for example, the below codes
```python
>>> help(aft_survival_regression)
```
shows the module docstrings for examples as below:
**Before**
```
Help on module aft_survival_regression:
NAME
aft_survival_regression
...
DESCRIPTION
# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not use this file except in compliance with
# the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
...
(END)
```
**After**
```
Help on module aft_survival_regression:
NAME
aft_survival_regression
...
DESCRIPTION
An example demonstrating aft survival regression.
Run with:
bin/spark-submit examples/src/main/python/ml/aft_survival_regression.py
(END)
```
## How was this patch tested?
Manually checked.
Author: hyukjinkwon <gurwls223@gmail.com>
Closes#20416 from HyukjinKwon/module-docstring-example.
## What changes were proposed in this pull request?
Added documentation for new transformer.
Author: Bago Amirbekian <bago@databricks.com>
Closes#20285 from MrBago/sizeHintDocs.
## What changes were proposed in this pull request?
We have `OneHotEncoderEstimator` now and `OneHotEncoder` will be deprecated since 2.3.0. We should add `OneHotEncoderEstimator` into mllib document.
We also need to provide corresponding examples for `OneHotEncoderEstimator` which are used in the document too.
## How was this patch tested?
Existing tests.
Author: Liang-Chi Hsieh <viirya@gmail.com>
Closes#20257 from viirya/SPARK-23048.
## What changes were proposed in this pull request?
This patch bumps the master branch version to `2.4.0-SNAPSHOT`.
## How was this patch tested?
N/A
Author: gatorsmile <gatorsmile@gmail.com>
Closes#20222 from gatorsmile/bump24.
## What changes were proposed in this pull request?
* String interpolation in ml pipeline example has been corrected as per scala standard.
## How was this patch tested?
* manually tested.
Author: chetkhatri <ckhatrimanjal@gmail.com>
Closes#20070 from chetkhatri/mllib-chetan-contrib.
## What changes were proposed in this pull request?
Some improvements:
1. Point out we are using both Spark SQ native syntax and HQL syntax in the example
2. Avoid using the same table name with temp view, to not confuse users.
3. Create the external hive table with a directory that already has data, which is a more common use case.
4. Remove the usage of `spark.sql.parquet.writeLegacyFormat`. This config was introduced by https://github.com/apache/spark/pull/8566 and has nothing to do with Hive.
5. Remove `repartition` and `coalesce` example. These 2 are not Hive specific, we should put them in a different example file. BTW they can't accurately control the number of output files, `spark.sql.files.maxRecordsPerFile` also controls it.
## How was this patch tested?
N/A
Author: Wenchen Fan <wenchen@databricks.com>
Closes#20081 from cloud-fan/minor.
## What changes were proposed in this pull request?
This PR fixes a style that broke the build.
## How was this patch tested?
Manually tested.
Author: hyukjinkwon <gurwls223@gmail.com>
Closes#20065 from HyukjinKwon/minor-style.
## What changes were proposed in this pull request?
Create table using the right DataFrame. peopleDF->usersDF
peopleDF:
+----+-------+
| age| name|
+----+-------+
usersDF:
+------+--------------+----------------+
| name|favorite_color|favorite_numbers|
+------+--------------+----------------+
## How was this patch tested?
Manually tested.
Author: CNRui <13266776177@163.com>
Closes#20052 from CNRui/patch-2.
## What changes were proposed in this pull request?
SparkHive Scala Examples Improvement made:
* Writing DataFrame / DataSet to Hive Managed , Hive External table using different storage format.
* Implementation of Partition, Reparition, Coalesce with appropriate example.
## How was this patch tested?
* Patch has been tested manually and by running ./dev/run-tests.
Author: chetkhatri <ckhatrimanjal@gmail.com>
Closes#20018 from chetkhatri/scala-sparkhive-examples.
## What changes were proposed in this pull request?
* Under Spark Scala Examples: Some of the syntax were written like Java way, It has been re-written as per scala style guide.
* Most of all changes are followed to println() statement.
## How was this patch tested?
Since, All changes proposed are re-writing println statements in scala way, manual run used to test println.
Author: chetkhatri <ckhatrimanjal@gmail.com>
Closes#20016 from chetkhatri/scala-style-spark-examples.
## What changes were proposed in this pull request?
In SPARK-14516 we have introduced ClusteringEvaluator, but we didn't put any reference in the documentation and the examples were still relying on the sum of squared errors to show a way to evaluate the clustering model.
The PR adds the ClusteringEvaluator in the examples.
## How was this patch tested?
Manual runs of the examples.
Author: Marco Gaido <mgaido@hortonworks.com>
Closes#19676 from mgaido91/SPARK-14516_examples.
## What changes were proposed in this pull request?
(Provided featureSubset Strategy to GBTClassifier
a) Moved featureSubsetStrategy to TreeEnsembleParams
b) Changed GBTClassifier to pass featureSubsetStrategy
val firstTreeModel = firstTree.train(input, treeStrategy, featureSubsetStrategy))
## How was this patch tested?
a) Tested GradientBoostedTreeClassifierExample by adding .setFeatureSubsetStrategy with GBTClassifier
b)Added test cases in GBTClassifierSuite and GBTRegressorSuite
Author: Pralabh Kumar <pralabhkumar@gmail.com>
Closes#18118 from pralabhkumar/develop.
## What changes were proposed in this pull request?
When run in YARN cluster mode, the StructuredKafkaWordCount example fails because Spark tries to create a temporary checkpoint location in a subdirectory of the path given by java.io.tmpdir, and YARN sets java.io.tmpdir to a path in the local filesystem that usually does not correspond to an existing path in the distributed filesystem.
Add an optional checkpointLocation argument to the StructuredKafkaWordCount example so that users can specify the checkpoint location and avoid this issue.
## How was this patch tested?
Built and ran the example manually on YARN client and cluster mode.
Author: Wing Yew Poon <wypoon@cloudera.com>
Closes#19703 from wypoon/SPARK-22403.
## What changes were proposed in this pull request?
Current ML's Bucketizer can only bin a column of continuous features. If a dataset has thousands of of continuous columns needed to bin, we will result in thousands of ML stages. It is inefficient regarding query planning and execution.
We should have a type of bucketizer that can bin a lot of columns all at once. It would need to accept an list of arrays of split points to correspond to the columns to bin, but it might make things more efficient by replacing thousands of stages with just one.
This current approach in this patch is to add a new `MultipleBucketizerInterface` for this purpose. `Bucketizer` now extends this new interface.
### Performance
Benchmarking using the test dataset provided in JIRA SPARK-20392 (blockbuster.csv).
The ML pipeline includes 2 `StringIndexer`s and 1 `MultipleBucketizer` or 137 `Bucketizer`s to bin 137 input columns with the same splits. Then count the time to transform the dataset.
MultipleBucketizer: 3352 ms
Bucketizer: 51512 ms
## How was this patch tested?
Jenkins tests.
Please review http://spark.apache.org/contributing.html before opening a pull request.
Author: Liang-Chi Hsieh <viirya@gmail.com>
Closes#17819 from viirya/SPARK-20542.
## What changes were proposed in this pull request?
Update the url of reference paper.
## How was this patch tested?
It is comments, so nothing tested.
Author: bomeng <bmeng@us.ibm.com>
Closes#19614 from bomeng/22399.
## What changes were proposed in this pull request?
Added documentation for loading csv files into Dataframes
## How was this patch tested?
/dev/run-tests
Author: Jorge Machado <jorge.w.machado@hotmail.com>
Closes#19429 from jomach/master.
This PR adds methods `recommendForUserSubset` and `recommendForItemSubset` to `ALSModel`. These allow recommending for a specified set of user / item ids rather than for every user / item (as in the `recommendForAllX` methods).
The subset methods take a `DataFrame` as input, containing ids in the column specified by the param `userCol` or `itemCol`. The model will generate recommendations for each _unique_ id in this input dataframe.
## How was this patch tested?
New unit tests in `ALSSuite` and Python doctests in `ALS`. Ran updated examples locally.
Author: Nick Pentreath <nickp@za.ibm.com>
Closes#18748 from MLnick/als-recommend-df.
