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Posted to issues@spark.apache.org by "Qinghe Jin (JIRA)" <ji...@apache.org> on 2017/08/10 05:53:00 UTC
[jira] [Commented] (SPARK-21676) cannot compile on hadoop 2.2.0 and
hive
[ https://issues.apache.org/jira/browse/SPARK-21676?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16121100#comment-16121100 ]
Qinghe Jin commented on SPARK-21676:
------------------------------------
Thanks！
> cannot compile on hadoop 2.2.0 and hive
> ---------------------------------------
>
> Key: SPARK-21676
> URL: https://issues.apache.org/jira/browse/SPARK-21676
> Project: Spark
> Issue Type: Bug
> Components: Build
> Affects Versions: 2.2.0
> Environment: centos6, java8, maven3.5.0, hadoop2.2, hive-0.12.0
> Reporter: Qinghe Jin
>
> Using following command to compile：
> “./make-distribution.sh --tgz -Phadoop-2.2 -Pyarn -Phive -Dhadoop.version=2.2.0”
> Then get the following output：
> >>>[error] SPARK_DIR/spark-2.2.0/core/src/main/scala/org/apache/spark/deploy/SparkHadoopUtil.scala:149: value getThreadStatistics is not a member of org.apache.hadoop.fs.FileSystem.Statistics
> >>>[error] val f = () => FileSystem.getAllStatistics.asScala.map(_.getThreadStatistics.getBytesRead).sum
> >>>[error] ^
> >>>[error] SPARK_DIR/spark-2.2.0/core/src/main/scala/org/apache/spark/deploy/SparkHadoopUtil.scala:149: ambiguous implicit values:
> >>>[error] both object BigIntIsIntegral in object Numeric of type scala.math.Numeric.BigIntIsIntegral.type
> >>>[error] and object ShortIsIntegral in object Numeric of type scala.math.Numeric.ShortIsIntegral.type
> >>>[error] match expected type Numeric[B]
> >>>[error] val f = () => FileSystem.getAllStatistics.asScala.map(_.getThreadStatistics.getBytesRead).sum
> >>>[error] ^
> >>>[error] SPARK_DIR/spark-2.2.0/core/src/main/scala/org/apache/spark/deploy/SparkHadoopUtil.scala:166: could not find implicit value for parameter num: Numeric[(Nothing, Nothing)]
> >>>[error] }.sum
> >>>[error] ^
> >>>[error] SPARK_DIR/spark-2.2.0/core/src/main/scala/org/apache/spark/deploy/SparkHadoopUtil.scala:180: value getThreadStatistics is not a member of org.apache.hadoop.fs.FileSystem.Statistics
> >>>[error] val threadStats = FileSystem.getAllStatistics.asScala.map(_.getThreadStatistics)
> >>>[error] ^
> >>>[error] SPARK_DIR/spark-2.2.0/core/src/main/scala/org/apache/spark/deploy/SparkHadoopUtil.scala:181: value getBytesWritten is not a member of Nothing
> >>>[error] val f = () => threadStats.map(_.getBytesWritten).sum
> >>>[error] ^
> >>>[error] SPARK_DIR/spark-2.2.0/core/src/main/scala/org/apache/spark/deploy/SparkHadoopUtil.scala:181: ambiguous implicit values:
> >>>[error] both object BigIntIsIntegral in object Numeric of type scala.math.Numeric.BigIntIsIntegral.type
> >>>[error] and object ShortIsIntegral in object Numeric of type scala.math.Numeric.ShortIsIntegral.type
> >>>[error] match expected type Numeric[B]
> >>>[error] val f = () => threadStats.map(_.getBytesWritten).sum
> >>>[error] ^
> >>>[WARNING] unused-1.0.0.jar, spark-network-common_2.11-2.2.0.jar, spark-network-shuffle_2.11-2.2.0.jar, spark-tags_2.11-2.2.0.jar define 1 overlapping classes:
> >>>[WARNING] - org.apache.spark.unused.UnusedStubClass
> >>>[WARNING] maven-shade-plugin has detected that some class files are
> >>>[WARNING] present in two or more JARs. When this happens, only one
> >>>[WARNING] single version of the class is copied to the uber jar.
> >>>[WARNING] Usually this is not harmful and you can skip these warnings,
> >>>[WARNING] otherwise try to manually exclude artifacts based on
> >>>[WARNING] mvn dependency:tree -Ddetail=true and the above output.
> >>>[WARNING] See http://maven.apache.org/plugins/maven-shade-plugin/
> >>>[INFO]
> >>>[INFO] --- maven-source-plugin:3.0.1:jar-no-fork (create-source-jar) @ spark-network-yarn_2.11 ---
> >>>[INFO] Building jar: SPARK_DIR/spark-2.2.0/common/network-yarn/target/spark-network-yarn_2.11-2.2.0-sources.jar
> >>>[INFO]
> >>>[INFO] --- maven-source-plugin:3.0.1:test-jar-no-fork (create-source-jar) @ spark-network-yarn_2.11 ---
> >>>[INFO] Building jar: SPARK_DIR/spark-2.2.0/common/network-yarn/target/spark-network-yarn_2.11-2.2.0-test-sources.jar
> >>>[error] SPARK_DIR/spark-2.2.0/core/src/main/scala/org/apache/spark/rdd/HadoopRDD.scala:324: not found: type InputSplitWithLocationInfo
> >>>[error] case lsplit: InputSplitWithLocationInfo =>
> >>>[error] ^
> >>>[error] SPARK_DIR/spark-2.2.0/core/src/main/scala/org/apache/spark/rdd/HadoopRDD.scala:403: not found: type SplitLocationInfo
> >>>[error] infos: Array[SplitLocationInfo]): Option[Seq[String]] = {
> >>>[error] ^
> >>>[error] SPARK_DIR/spark-2.2.0/core/src/main/scala/org/apache/spark/rdd/HadoopRDD.scala:325: value getLocationInfo is not a member of org.apache.hadoop.mapred.InputSplit
> >>>[error] HadoopRDD.convertSplitLocationInfo(lsplit.getLocationInfo)
> >>>[error] ^
> >>>[error] SPARK_DIR/spark-2.2.0/core/src/main/scala/org/apache/spark/rdd/HadoopRDD.scala:404: type mismatch;
> >>>[error] found : x$2.type (with underlying type Array[<error>])
> >>>[error] required: ?{def flatMap: ?}
> >>>[error] Note that implicit conversions are not applicable because they are ambiguous:
> >>>[error] both method booleanArrayOps in object Predef of type (xs: Array[Boolean])scala.collection.mutable.ArrayOps[Boolean]
> >>>[error] and method byteArrayOps in object Predef of type (xs: Array[Byte])scala.collection.mutable.ArrayOps[Byte]
> >>>[error] are possible conversion functions from x$2.type to ?{def flatMap: ?}
> >>>[error] Option(infos).map(_.flatMap { loc =>
> >>>[error] ^
> >>>[error] SPARK_DIR/spark-2.2.0/core/src/main/scala/org/apache/spark/rdd/NewHadoopRDD.scala:282: value getLocationInfo is not a member of org.apache.hadoop.mapreduce.InputSplit with org.apache.hadoop.io.Writable [error] val locs = HadoopRDD.convertSplitLocationInfo(split.getLocationInfo)
> >>>[error] ^
> >>>[error] 11 errors found
> >>>[error] Compile failed at Aug 9, 2017 7:42:39 PM [14.558s]
> >>>[INFO] ------------------------------------------------------------------------
> >>>[INFO] Reactor Summary:
> >>>[INFO]
> >>>[INFO] Spark Project Parent POM ........................... SUCCESS [ 2.381 s]
> >>>[INFO] Spark Project Tags ................................. SUCCESS [ 3.072 s]
> >>>[INFO] Spark Project Sketch ............................... SUCCESS [ 5.196 s]
> >>>[INFO] Spark Project Networking ........................... SUCCESS [ 11.149 s]
> >>>[INFO] Spark Project Shuffle Streaming Service ............ SUCCESS [ 4.893 s]
> >>>[INFO] Spark Project Unsafe ............................... SUCCESS [ 9.325 s]
> >>>[INFO] Spark Project Launcher ............................. SUCCESS [ 9.934 s]
> >>>[INFO] Spark Project Core ................................. FAILURE [ 17.150 s]
> >>>[INFO] Spark Project ML Local Library ..................... SUCCESS [ 10.325 s]
> >>>[INFO] Spark Project GraphX ............................... SKIPPED
> >>>[INFO] Spark Project Streaming ............................ SKIPPED
> >>>[INFO] Spark Project Catalyst ............................. SKIPPED
> >>>[INFO] Spark Project SQL .................................. SKIPPED
> >>>[INFO] Spark Project ML Library ........................... SKIPPED
> >>>[INFO] Spark Project Tools ................................ SUCCESS [ 1.461 s]
> >>>[INFO] Spark Project Hive ................................. SKIPPED
> >>>[INFO] Spark Project REPL ................................. SKIPPED
> >>>[INFO] Spark Project YARN Shuffle Service ................. SUCCESS [ 7.797 s]
> >>>[INFO] Spark Project YARN ................................. SKIPPED
> >>>[INFO] Spark Project Assembly ............................. SKIPPED
> >>>[INFO] Spark Project External Flume Sink .................. SUCCESS [ 6.742 s]
> >>>[INFO] Spark Project External Flume ....................... SKIPPED
> >>>[INFO] Spark Project External Flume Assembly .............. SKIPPED
> >>>[INFO] Spark Integration for Kafka 0.8 .................... SKIPPED
> >>>[INFO] Kafka 0.10 Source for Structured Streaming ......... SKIPPED
> >>>[INFO] Spark Project Examples ............................. SKIPPED
> >>>[INFO] Spark Project External Kafka Assembly .............. SKIPPED
> >>>[INFO] Spark Integration for Kafka 0.10 ................... SKIPPED
> >>>[INFO] Spark Integration for Kafka 0.10 Assembly .......... SKIPPED
> >>>[INFO] ------------------------------------------------------------------------
> >>>[INFO] BUILD FAILURE
> >>>[INFO] ------------------------------------------------------------------------
> >>>[INFO] Total time: 39.133 s (Wall Clock)
> >>>[INFO] Finished at: 2017-08-09T19:42:39+08:00
> >>>[INFO] Final Memory: 48M/2011M
> >>>[INFO] ------------------------------------------------------------------------
> >>>[WARNING] The requested profile "hadoop-2.2" could not be activated because it does not exist.
> >>>[ERROR] Failed to execute goal net.alchim31.maven:scala-maven-plugin:3.2.2:compile (scala-compile-first) on project spark-core_2.11: Execution scala-compile-first of goal net.alchim31.maven:scala-maven-plugin:3.2.2:compile failed.: CompileFailed -> [Help 1]
> >>>[ERROR]
> >>>[ERROR] To see the full stack trace of the errors, re-run Maven with the -e switch.
> >>>[ERROR] Re-run Maven using the -X switch to enable full debug logging.
> >>>[ERROR]
> >>>[ERROR] For more information about the errors and possible solutions, please read the following articles:
> >>>[ERROR] [Help 1] http://cwiki.apache.org/confluence/display/MAVEN/PluginExecutionException
> >>>[ERROR]
> >>>[ERROR] After correcting the problems, you can resume the build with the command
> >>>[ERROR] mvn <goals> -rf :spark-core_2.11
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