Hi all,
I'm trying to build the Spark-perf WIP code but there are some errors to
do with Hadoop APIs. I presume this is because there is some Hadoop
version set and it's referring to that. But I can't seem to find it.
The errors are as follows:
[info] Compiling 15 Scala sources and 2 Java sources to
/home/ehiggs/src/spark-perf/spark-tests/target/scala-2.10/classes...
[error]
/home/ehiggs/src/spark-perf/spark-tests/src/main/scala/spark/perf/terasort/TeraInputFormat.scala:40:
object task is not a member of package org.apache.hadoop.mapreduce
[error] import org.apache.hadoop.mapreduce.task.TaskAttemptContextImpl
[error] ^
[error]
/home/ehiggs/src/spark-perf/spark-tests/src/main/scala/spark/perf/terasort/TeraInputFormat.scala:132:
not found: type TaskAttemptContextImpl
[error] val context = new TaskAttemptContextImpl(
[error] ^
[error]
/home/ehiggs/src/spark-perf/spark-tests/src/main/scala/spark/perf/terasort/TeraScheduler.scala:37:
object TTConfig is not a member of package
org.apache.hadoop.mapreduce.server.tasktracker
[error] import org.apache.hadoop.mapreduce.server.tasktracker.TTConfig
[error] ^
[error]
/home/ehiggs/src/spark-perf/spark-tests/src/main/scala/spark/perf/terasort/TeraScheduler.scala:91:
not found: value TTConfig
[error] var slotsPerHost : Int = conf.getInt(TTConfig.TT_MAP_SLOTS, 4)
[error] ^
[error]
/home/ehiggs/src/spark-perf/spark-tests/src/main/scala/spark/perf/terasort/TeraSortAll.scala:7:
value run is not a member of org.apache.spark.examples.terasort.TeraGen
[error] tg.run(Array[String]("10M", "/tmp/terasort_in"))
[error] ^
[error]
/home/ehiggs/src/spark-perf/spark-tests/src/main/scala/spark/perf/terasort/TeraSortAll.scala:9:
value run is not a member of org.apache.spark.examples.terasort.TeraSort
[error] ts.run(Array[String]("/tmp/terasort_in", "/tmp/terasort_out"))
[error] ^
[error] 6 errors found
[error] (compile:compile) Compilation failed
[error] Total time: 13 s, completed 05-Jan-2015 12:21:47
I can build the same code if it's in the Spark tree using the following
command:
mvn -Dhadoop.version=2.5.0 -DskipTests=true install
Is there a way I can convince spark-perf to build this code with the
appropriate Hadoop library version? I tried to apply the following to
spark-tests/project/SparkTestsBuild.scala but it didn't seem to work as
I expected:
$ git diff project/SparkTestsBuild.scala
diff --git a/spark-tests/project/SparkTestsBuild.scala
b/spark-tests/project/SparkTestsBuild.scala
index 4116326..4ed5f0c 100644
--- a/spark-tests/project/SparkTestsBuild.scala
+++ b/spark-tests/project/SparkTestsBuild.scala
@@ -16,7 +16,9 @@ object SparkTestsBuild extends Build {
"org.scalatest" %% "scalatest" % "2.2.1" % "test",
"com.google.guava" % "guava" % "14.0.1",
"org.apache.spark" %% "spark-core" % "1.0.0" % "provided",
- "org.json4s" %% "json4s-native" % "3.2.9"
+ "org.json4s" %% "json4s-native" % "3.2.9",
+ "org.apache.hadoop" % "hadoop-common" % "2.5.0",
+ "org.apache.hadoop" % "hadoop-mapreduce" % "2.5.0"
),
test in assembly := {},
outputPath in assembly :=
file("target/spark-perf-tests-assembly.jar"),
@@ -36,4 +38,4 @@ object SparkTestsBuild extends Build {
case _ => MergeStrategy.first
}
))
-}
\ No newline at end of file
+}
Yours,
Ewan
