Hi @EricL I dont see any error related to SSL in impala daemon logs,we haven't checked anything related to SSL in ODBC driver settings. Note: He connected successfully a few days ago ,but all of a sudden this issue raised. Thanks
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Hi Team, How to configure CM ldap settings with different ou's for user and group search? For ex: users are in below regions ou's user1:ou=users-groups,ou=india,dc=xxx,dc=com user 2: ou=user-groups,ou-usa,dc=xxx,dc=com
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Hi Harsh, Thanks for your information and links. can i have more details on hdfs oiv tool? how to setup and configure to analyze small files? is there any cdh doucument on this? Thanks.
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Hi Team, Is there a way to analyze small files and paths on HDFS? is there a way to know ,which user ID has most number of small files? Thanks in advance.
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Hi Team, i see coulmn stats and row stats is unavaialble in impala query. can i know what exactly this means? partitions=1/1 files=200 size=8.77GB
stats-rows=unavailable extrapolated-rows=disabled
table stats: rows=unavailable size=8.77GB
column stats: unavailable thanks.
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Thanks @Bildervic for your reply.i can do the stuff that you mentioned in below reply but the thing is,we are facing this issues only from one edge node but not from other edge node which have same clients. To your questions: Java version:oracle 1.8 spark 2.3 cdh 5.14 Thanks.
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Hi Team,
when i tried to access pyspark shell,it shows up with below error.
tocol.Py4JJavaError: An error occurred while calling None.org.apache.spark.api.java.JavaSparkContext.
: org.apache.spark.SparkException: Yarn application has already ended! It might have been killed or unable to launch application master.
at org.apache.spark.scheduler.cluster.YarnClientSchedulerBackend.waitForApplication(YarnClientSchedulerBackend.scala:124)
at org.apache.spark.scheduler.cluster.YarnClientSchedulerBackend.start(YarnClientSchedulerBackend.scala:64)
at org.apache.spark.scheduler.TaskSchedulerImpl.start(TaskSchedulerImpl.scala:151)
at org.apache.spark.SparkContext.<init>(SparkContext.scala:538)
at org.apache.spark.api.java.JavaSparkContext.<init>(JavaSparkContext.scala:59)
at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
at sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:62)
at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
at java.lang.reflect.Constructor.newInstance(Constructor.java:423)
at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:247)
at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
at py4j.Gateway.invoke(Gateway.java:238)
at py4j.commands.ConstructorCommand.invokeConstructor(ConstructorCommand.java:80)
at py4j.commands.ConstructorCommand.execute(ConstructorCommand.java:69)
at py4j.GatewayConnection.run(GatewayConnection.java:238)
at java.lang.Thread.run(Thread.java:745)
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