forked from opensci/piflow
add yarn.jars config to solve the problem -->"Neither spark.yarn.jars nor spark.yarn.archive is set, falling back to uploading libraries under SPARK_HOME",which makes the spark on yarn job run very slow!
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@ -9,6 +9,7 @@ yarn.resourcemanager.hostname=10.0.86.191
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yarn.resourcemanager.address=10.0.86.191:8032
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yarn.access.namenode=hdfs://10.0.86.191:9000
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yarn.stagingDir=hdfs://10.0.86.191:9000/tmp/
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yarn.jars=hdfs://10.0.86.191:9000/user/spark/share/lib/*.jar
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hive.metastore.uris=thrift://10.0.86.191:9083
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@ -32,11 +32,12 @@ object API {
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.config("spark.hadoop.yarn.resourcemanager.address", PropertyUtil.getPropertyValue("yarn.resourcemanager.address"))
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.config("spark.yarn.access.namenode", PropertyUtil.getPropertyValue("yarn.access.namenode"))
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.config("spark.yarn.stagingDir", PropertyUtil.getPropertyValue("yarn.stagingDir"))
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.config("spark.yarn.jars", PropertyUtil.getPropertyValue("yarn.jars"))
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//.config("spark.driver.memory", "1g")
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//.config("spark.executor.memory", "1g")
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//.config("spark.cores.max", "2")
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.config("spark.jars", PropertyUtil.getPropertyValue("piflow.bundle"))
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.config("hive.metastore.uris",PropertyUtil.getPropertyValue("hive.metastore.uris"))
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//.config("hive.metastore.uris",PropertyUtil.getPropertyValue("hive.metastore.uris"))
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.enableHiveSupport()
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.getOrCreate()
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