2016-09-08 11:26:59 -04:00
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# Licensed to the Apache Software Foundation (ASF) under one or more
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# contributor license agreements. See the NOTICE file distributed with
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# this work for additional information regarding copyright ownership.
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# The ASF licenses this file to You under the Apache License, Version 2.0
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# (the "License"); you may not use this file except in compliance with
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# the License. You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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version: "{build}-{branch}"
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shallow_clone: true
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platform: x64
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configuration: Debug
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branches:
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only:
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- master
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only_commits:
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files:
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2017-06-18 03:43:47 -04:00
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- appveyor.yml
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- dev/appveyor-install-dependencies.ps1
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2016-09-08 11:26:59 -04:00
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- R/
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2017-03-26 02:29:02 -04:00
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- sql/core/src/main/scala/org/apache/spark/sql/api/r/
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- core/src/main/scala/org/apache/spark/api/r/
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- mllib/src/main/scala/org/apache/spark/ml/r/
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2017-09-10 20:32:25 -04:00
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- core/src/test/scala/org/apache/spark/deploy/SparkSubmitSuite.scala
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[SPARK-22495] Fix setup of SPARK_HOME variable on Windows
## What changes were proposed in this pull request?
Fixing the way how `SPARK_HOME` is resolved on Windows. While the previous version was working with the built release download, the set of directories changed slightly for the PySpark `pip` or `conda` install. This has been reflected in Linux files in `bin` but not for Windows `cmd` files.
First fix improves the way how the `jars` directory is found, as this was stoping Windows version of `pip/conda` install from working; JARs were not found by on Session/Context setup.
Second fix is adding `find-spark-home.cmd` script, which uses `find_spark_home.py` script, as the Linux version, to resolve `SPARK_HOME`. It is based on `find-spark-home` bash script, though, some operations are done in different order due to the `cmd` script language limitations. If environment variable is set, the Python script `find_spark_home.py` will not be run. The process can fail if Python is not installed, but it will mostly use this way if PySpark is installed via `pip/conda`, thus, there is some Python in the system.
## How was this patch tested?
Tested on local installation.
Author: Jakub Nowacki <j.s.nowacki@gmail.com>
Closes #19370 from jsnowacki/fix_spark_cmds.
2017-11-22 22:47:38 -05:00
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- bin/*.cmd
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2016-09-08 11:26:59 -04:00
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cache:
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- C:\Users\appveyor\.m2
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install:
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# Install maven and dependencies
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- ps: .\dev\appveyor-install-dependencies.ps1
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# Required package for R unit tests
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2019-11-16 21:28:27 -05:00
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- cmd: R -e "install.packages(c('knitr', 'rmarkdown', 'e1071', 'survival', 'arrow'), repos='https://cloud.r-project.org/')"
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2020-01-28 20:37:08 -05:00
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- cmd: R -e "install.packages(c('crayon', 'praise', 'R6', 'testthat'), repos='https://cloud.r-project.org/')"
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2019-10-03 19:56:45 -04:00
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- cmd: R -e "packageVersion('knitr'); packageVersion('rmarkdown'); packageVersion('testthat'); packageVersion('e1071'); packageVersion('survival'); packageVersion('arrow')"
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2016-09-08 11:26:59 -04:00
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build_script:
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2019-08-30 12:39:15 -04:00
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# '-Djna.nosys=true' is required to avoid kernel32.dll load failure.
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# See SPARK-28759.
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2019-11-29 22:48:15 -05:00
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- cmd: mvn -DskipTests -Psparkr -Phive -Djna.nosys=true package
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2016-09-08 11:26:59 -04:00
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2017-05-07 16:10:10 -04:00
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environment:
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NOT_CRAN: true
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2019-08-10 17:47:11 -04:00
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# See SPARK-27848. Currently installing some dependent packages causes
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2019-05-28 01:42:03 -04:00
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# "(converted from warning) unable to identify current timezone 'C':" for an unknown reason.
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# This environment variable works around to test SparkR against a higher version.
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R_REMOTES_NO_ERRORS_FROM_WARNINGS: true
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2017-05-07 16:10:10 -04:00
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2016-09-08 11:26:59 -04:00
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test_script:
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2017-05-06 00:26:55 -04:00
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- cmd: .\bin\spark-submit2.cmd --driver-java-options "-Dlog4j.configuration=file:///%CD:\=/%/R/log4j.properties" --conf spark.hadoop.fs.defaultFS="file:///" R\pkg\tests\run-all.R
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2016-09-08 11:26:59 -04:00
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notifications:
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- provider: Email
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on_build_success: false
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on_build_failure: false
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on_build_status_changed: false
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