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-rw-r--r--run2.cmd26
1 files changed, 25 insertions, 1 deletions
diff --git a/run2.cmd b/run2.cmd
index 705a4d1ff6..c6f43dde5b 100644
--- a/run2.cmd
+++ b/run2.cmd
@@ -1,6 +1,6 @@
@echo off
-set SCALA_VERSION=2.9.2
+set SCALA_VERSION=2.9.3
rem Figure out where the Spark framework is installed
set FWDIR=%~dp0
@@ -21,6 +21,7 @@ set RUNNING_DAEMON=0
if "%1"=="spark.deploy.master.Master" set RUNNING_DAEMON=1
if "%1"=="spark.deploy.worker.Worker" set RUNNING_DAEMON=1
if "x%SPARK_DAEMON_MEMORY%" == "x" set SPARK_DAEMON_MEMORY=512m
+set SPARK_DAEMON_JAVA_OPTS=%SPARK_DAEMON_JAVA_OPTS% -Dspark.akka.logLifecycleEvents=true
if "%RUNNING_DAEMON%"=="1" set SPARK_MEM=%SPARK_DAEMON_MEMORY%
if "%RUNNING_DAEMON%"=="1" set SPARK_JAVA_OPTS=%SPARK_DAEMON_JAVA_OPTS%
@@ -62,6 +63,29 @@ set CLASSPATH=%CLASSPATH%;%FWDIR%repl\lib\*
set CLASSPATH=%CLASSPATH%;%FWDIR%python\lib\*
set CLASSPATH=%CLASSPATH%;%BAGEL_DIR%\target\scala-%SCALA_VERSION%\classes
+rem Add hadoop conf dir - else FileSystem.*, etc fail
+rem Note, this assumes that there is either a HADOOP_CONF_DIR or YARN_CONF_DIR which hosts
+rem the configurtion files.
+if "x%HADOOP_CONF_DIR%"=="x" goto no_hadoop_conf_dir
+ set CLASSPATH=%CLASSPATH%;%HADOOP_CONF_DIR%
+:no_hadoop_conf_dir
+
+if "x%YARN_CONF_DIR%"=="x" goto no_yarn_conf_dir
+ set CLASSPATH=%CLASSPATH%;%YARN_CONF_DIR%
+:no_yarn_conf_dir
+
+
+
+rem Figure out the JAR file that our examples were packaged into.
+rem First search in the build path from SBT:
+for %%d in ("examples/target/scala-%SCALA_VERSION%/spark-examples*.jar") do (
+ set SPARK_EXAMPLES_JAR=examples/target/scala-%SCALA_VERSION%/%%d
+)
+rem Then search in the build path from Maven:
+for %%d in ("examples/target/spark-examples*hadoop*.jar") do (
+ set SPARK_EXAMPLES_JAR=examples/target/%%d
+)
+
rem Figure out whether to run our class with java or with the scala launcher.
rem In most cases, we'd prefer to execute our process with java because scala
rem creates a shell script as the parent of its Java process, which makes it