AKSonic created SPARK-25520:
-------------------------------
Summary: The state of executors is KILLED on standalone
Key: SPARK-25520
URL: https://issues.apache.org/jira/browse/SPARK-25520
Project: Spark
Issue Type: Bug
Components: Web UI
Affects Versions: 2.3.1, 2.2.2
Environment: spark 2.3.1
spark 2.2.2
Java 1.8.0_131
scala 2.11.8
Reporter: AKSonic
Attachments: Spark.zip
I create spark standalone cluster (4 servers) by using spark 2.3.1. The job can
be finished on Completed Drivers. I also can get the result by driver log. But
the status of all executors show KILLED state. The log show the following error.
2018-09-25 00:47:37 INFO CoarseGrainedExecutorBackend:54 - Driver commanded a
shutdown
2018-09-25 00:47:37 ERROR CoarseGrainedExecutorBackend:43 - RECEIVED SIGNAL
TERM utdown
I also try spark 2.2.2. I see the same issues on the GUI. All executors are
KILLED status.
Is it right? what is the problem?
-------------------------------------------- Config
----------------------------------------------------------------
*spark-env.sh:*
export SPARK_PUBLIC_DNS=hostname1
export SCALA_HOME=/opt/gpf/bigdata/scala-2.11.8
export JAVA_HOME=/usr/java/jdk1.8.0_131
export HADOOP_HOME=/opt/bigdata/hadoop-2.6.5
export HADOOP_CONF_DIR=$HADOOP_HOME/etc/hadoop
export
SPARK_HISTORY_OPTS="-Dspark.history.fs.logDirectory=file:///spark/spark-event-dir
-Dspark.history.ui.port=16066 -Dspark.history.retainedApplications=30
-Dspark.history.fs.cleaner.enabled=true -Dspark.history.fs.cleaner.interval=1d
-Dspark.history.fs.cleaner.maxAge=7d"
export SPARK_DAEMON_JAVA_OPTS="-Dspark.deploy.recoveryMode=ZOOKEEPER
-Dspark.deploy.zookeeper.url=hostname1:2181,hostname2:2181,hostname3:2181
-Dspark.deploy.zookeeper.dir=/opt/bigdata/spark-2.3.1/zk-recovery-dir"
SPARK_LOCAL_DIRS=/opt/bigdata/spark-2.3.1/local-dir
SPARK_DRIVER_MEMORY=1G
*spark-defaults.conf:*
spark.eventLog.enabled true
spark.eventLog.compress true
spark.eventLog.dir file:///spark/spark-event-dir
*slaves:*
hostname1
hostname2
hostname3
hostname4
------------------------------------------------Testing
------------------------------------------------------------
*Testing program1 (Java):*
public class JDBCApp {
private static final String DB_OLAP_UAT_URL = "jdbc:sqlserver://dbhost";
private static final String DB_DRIVER =
"com.microsoft.sqlserver.jdbc.SQLServerDriver";
private static final String SQL_TEXT = "select top 10 * from table1";
private static final String DB_OLAP_UAT_USR = "";
private static final String DB_OLAP_UAT_PWD = "";
public static void main(String[] args) {
System.setProperty("spark.sql.warehouse.dir","file:///bigdata/spark/spark-warehouse");
// Logger.getLogger("org.apache.spark").setLevel(Level.DEBUG);
SparkSession spark = SparkSession
.builder()
.appName("JDBCApp")
.getOrCreate();
Dataset<Row> jdbcDF = spark.read()
.format("jdbc")
.option("driver", DB_DRIVER)
.option("url", DB_OLAP_UAT_URL)
.option("dbtable", "(" + SQL_TEXT + ") tmp")
.option("user", DB_OLAP_UAT_USR)
.option("password", DB_OLAP_UAT_PWD)
.load();
jdbcDF.show();
}
}
*Testing program2 (Java):*
public class SimpleApp {
public static void main(String[] args) {
String filePath = args[0];
Logger logger = Logger.getLogger("org.apache.spark");
// logger.setLevel(Level.DEBUG);
SparkSession spark = SparkSession.builder()
.appName("Simple Application")
.getOrCreate();
Dataset<String> logData = spark.read().textFile(filePath).cache();
long numAs = logData.filter((FilterFunction<String>) s ->
s.contains("e")).count();
long numBs = logData.filter((FilterFunction<String>) s ->
s.contains("r")).count();
logger.info("Lines with a: " + numAs + ", lines with b: " + numBs);
spark.stop();
}
}
You can run above 2 testing programs, and then you can see the state of
executors are KILLED.
Another issue is that I can't see the stdout/stderr of driver on Executors tab
on spark history server. I only can see the stdout/stderr of executors. It
causes after restart spark standalone cluster, I can't see the result of driver
on both spark UI and spark history server.
--
This message was sent by Atlassian JIRA
(v7.6.3#76005)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org
