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330
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Title | Views | Posted |
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245 | 11-10-2024 11:19 PM | |
377 | 10-25-2024 05:02 AM | |
1959 | 09-10-2024 07:50 AM | |
711 | 09-04-2024 05:35 AM | |
1556 | 08-28-2024 12:40 AM |
11-29-2024
06:51 AM
many thanks !
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11-25-2024
11:05 PM
1 Kudo
From the attached console output noticed AM failed to submit the DAG. ERROR : Failed to execute tez graph.
org.apache.tez.dag.api.SessionNotRunning: TezSession has already shutdown. Application application_1730584072947_0051 failed 1 times (global limit =2; local limit is =1) due to AM Container for appattempt_1730584072947_0051_000001 exited with exitCode: 1 Please check the appLogs application_1730584072947_0051 to identify the root cause of the failure.
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11-22-2024
05:29 AM
1 Kudo
The job failed with an OutOfMemoryError (OOME) at the child task attempt level, as indicated by the stacktrace. It was observed that certain mapreduce properties have been set, which may potentially overwrite the hive.tez.container.size property. SET mapreduce.map.java.opts=-Xmx3686m;
SET mapreduce.reduce.java.opts=-Xmx3686m;
SET mapred.child.java.opts=-Xmx10g; It is recommended to validate the yarn appLogs to confirm if the child task attempts were launched with 80% of the hive.tez.container.size. If not, it is advised to remove the mapreduce configurations and try re-running the job. Before re-running the query, it is suggested to collect statistics for all the source tables. This will assist the optimizer in creating a better execution plan.
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11-22-2024
04:56 AM
1 Kudo
If you suspect that TEZ-4032 is the cause, consider upgrading your cluster to CDP 7 and testing it again, as it has been backported in CDP 7.
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11-21-2024
10:14 PM
Ideally below should work. use default;show tables; Please check HiveServer2, HMS logs and share the stack-trace. To identify the RootCause.
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11-20-2024
11:29 PM
1 Kudo
@yangdkny, Did the response help resolve your query? If it did, kindly mark the relevant reply as the solution, as it will aid others in locating the answer more easily in the future.
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11-17-2024
09:22 PM
@Bhavs, Did the response help resolve your query? If it did, kindly mark the relevant reply as the solution, as it will aid others in locating the answer more easily in the future.
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11-15-2024
06:38 AM
1 Kudo
The below error usually occurs when there is a mismatch between the versions of Tez and Hive. Validate the compatibility. Caused by: org.apache.hive.com.esotericsoftware.kryo.KryoException: Encountered unregistered class ID: 112
Serialization trace:
conf (org.apache.hadoop.hive.ql.exec.TableScanOperator)
aliasToWork (org.apache.hadoop.hive.ql.plan.MapWork)
at org.apache.hive.com.esotericsoftware.kryo.util.DefaultClassResolver.readClass(DefaultClassResolver.java:159)
at org.apache.hive.com.esotericsoftware.kryo.Kryo.readClass(Kryo.java:758)
at org.apache.hadoop.hive.ql.exec.SerializationUtilities$KryoWithHooks.readClass(SerializationUtilities.java:188)
at org.apache.hive.com.esotericsoftware.kryo.serializers.ReflectField.read(ReflectField.java:117)
at org.apache.hive.com.esotericsoftware.kryo.serializers.FieldSerializer.read(FieldSerializer.java:129)
at org.apache.hive.com.esotericsoftware.kryo.Kryo.readClassAndObject(Kryo.java:877)
at org.apache.hadoop.hive.ql.exec.SerializationUtilities$KryoWithHooks.readClassAndObject(SerializationUtilities.java:183)
at org.apache.hive.com.esotericsoftware.kryo.serializers.MapSerializer.read(MapSerializer.java:235)
at org.apache.hive.com.esotericsoftware.kryo.serializers.MapSerializer.read(MapSerializer.java:42)
at org.apache.hive.com.esotericsoftware.kryo.Kryo.readObject(Kryo.java:796)
at org.apache.hadoop.hive.ql.exec.SerializationUtilities$KryoWithHooks.readObject(SerializationUtilities.java:221)
at org.apache.hive.com.esotericsoftware.kryo.serializers.ReflectField.read(ReflectField.java:124)
at org.apache.hive.com.esotericsoftware.kryo.serializers.FieldSerializer.read(FieldSerializer.java:129)
at org.apache.hive.com.esotericsoftware.kryo.Kryo.readObject(Kryo.java:774)
at org.apache.hadoop.hive.ql.exec.SerializationUtilities$KryoWithHooks.readObject(SerializationUtilities.java:213)
at org.apache.hadoop.hive.ql.exec.SerializationUtilities.deserializeObjectByKryo(SerializationUtilities.java:838)
at org.apache.hadoop.hive.ql.exec.SerializationUtilities.deserializePlan(SerializationUtilities.java:745)
at org.apache.hadoop.hive.ql.exec.Utilities.getBaseWork(Utilities.java:489)
... 19 more Additionally, it is important to validate if any auxiliary jars are being used and ensure that these jars do not conflict with the jars in the Hive classpath. if two versions of same jars are present in the classapth , which also creates a problem in the serialization.
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11-13-2024
11:09 PM
1 Kudo
Cloudera Manager offers configurations and tools to optimize the usage of Tez as an execution engine for big data workloads, particularly when using Hive. The Tez CM-UI in Cloudera Manager allows for fine-tuning of Tez configurations to meet specific workload requirements, including adjusting Tez container sizes, memory settings, and parallelism levels. These Tez configurations can be applied cluster-wide, specifically for Hive. Please verify that the HIVE and Hive_ON_TEZ services are active and functioning properly. Similarly, the Core configuration applies to the entire cluster and provides an interface to change configurations cluster-wide. Ensure that all services are running smoothly. If any particular service appears as red, investigate the individual service logs for further troubleshooting.
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11-13-2024
01:40 PM
@alex88 Has the reply helped resolve your issue? If so, please mark the appropriate reply as the solution, as it will make it easier for others to find the answer in the future. Thanks.
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