128
Posts
15
Kudos Received
8
Solutions
My Accepted Solutions
Title | Views | Posted |
---|---|---|
2627 | 01-13-2015 09:09 AM | |
4867 | 05-28-2014 09:28 AM | |
1970 | 04-22-2014 01:24 PM | |
1929 | 03-31-2014 09:07 AM | |
62803 | 02-07-2014 08:40 AM |
02-18-2021
09:05 PM
Hi @pawski, Here is a solution for comparing CDH clusters configurations managed by different Cloudera Managers https://community.cloudera.com/t5/Support-Questions/Compare-settings-in-different-clusters/m-p/280536/highlight/true#M208909 Thanks, Salim
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01-06-2021
10:04 AM
hdfs,yarn,hive etc are system users, they will not have any passwords by default, however you can su from root. If you really want set passwords anyway then $ passwd hdfs command will prompt you to set a new password but i don't see a reason why anyone want to do that for system users.
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10-24-2020
05:49 AM
I can connect with "beeline -u jdbc:hive2://" [20:28 hadoop@Cavin-Y7000 hive]$ beeline -u jdbc:hive2://
SLF4J: Class path contains multiple SLF4J bindings.
SLF4J: Found binding in [jar:file:/usr/local/hive/lib/log4j-slf4j-impl-2.10.0.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: Found binding in [jar:file:/usr/local/hadoop/share/hadoop/hdfs/lib/log4j-slf4j-impl-2.10.0.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: See http://www.slf4j.org/codes.html#multiple_bindings for an explanation.
SLF4J: Actual binding is of type [org.apache.logging.slf4j.Log4jLoggerFactory]
Connecting to jdbc:hive2://
20/10/24 20:30:27 [main]: WARN conf.HiveConf: HiveConf of name hive.server2.connection.host does not exist
Hive Session ID = 4977083b-4d07-4ff0-930f-7afb9e214933
20/10/24 20:30:28 [main]: WARN session.SessionState: METASTORE_FILTER_HOOK will be ignored, since hive.security.authorization.manager is set to instance of HiveAuthorizerFactory.
20/10/24 20:30:29 [main]: WARN metastore.ObjectStore: datanucleus.autoStartMechanismMode is set to unsupported value null . Setting it to value: ignored
20/10/24 20:30:30 [main]: WARN DataNucleus.MetaData: Metadata has jdbc-type of null yet this is not valid. Ignored
20/10/24 20:30:30 [main]: WARN DataNucleus.MetaData: Metadata has jdbc-type of null yet this is not valid. Ignored
20/10/24 20:30:30 [main]: WARN DataNucleus.MetaData: Metadata has jdbc-type of null yet this is not valid. Ignored
20/10/24 20:30:30 [main]: WARN DataNucleus.MetaData: Metadata has jdbc-type of null yet this is not valid. Ignored
20/10/24 20:30:30 [main]: WARN DataNucleus.MetaData: Metadata has jdbc-type of null yet this is not valid. Ignored
20/10/24 20:30:30 [main]: WARN DataNucleus.MetaData: Metadata has jdbc-type of null yet this is not valid. Ignored
20/10/24 20:30:31 [main]: WARN DataNucleus.MetaData: Metadata has jdbc-type of null yet this is not valid. Ignored
20/10/24 20:30:31 [main]: WARN DataNucleus.MetaData: Metadata has jdbc-type of null yet this is not valid. Ignored
20/10/24 20:30:31 [main]: WARN DataNucleus.MetaData: Metadata has jdbc-type of null yet this is not valid. Ignored
20/10/24 20:30:31 [main]: WARN DataNucleus.MetaData: Metadata has jdbc-type of null yet this is not valid. Ignored
20/10/24 20:30:31 [main]: WARN DataNucleus.MetaData: Metadata has jdbc-type of null yet this is not valid. Ignored
20/10/24 20:30:31 [main]: WARN DataNucleus.MetaData: Metadata has jdbc-type of null yet this is not valid. Ignored
Connected to: Apache Hive (version 3.1.2)
Driver: Hive JDBC (version 3.1.2)
Transaction isolation: TRANSACTION_REPEATABLE_READ
Beeline version 3.1.2 by Apache Hive
0: jdbc:hive2://> but when I use "beeline -u jdbc:hive2://localhost:10000/default" I got this error: [20:26 hadoop@Cavin-Y7000 hive]$ ./bin/beeline -u jdbc:hive2://localhost:10000
SLF4J: Class path contains multiple SLF4J bindings.
SLF4J: Found binding in [jar:file:/usr/local/hive/lib/log4j-slf4j-impl-2.10.0.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: Found binding in [jar:file:/usr/local/hadoop/share/hadoop/hdfs/lib/log4j-slf4j-impl-2.10.0.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: See http://www.slf4j.org/codes.html#multiple_bindings for an explanation.
SLF4J: Actual binding is of type [org.apache.logging.slf4j.Log4jLoggerFactory]
Connecting to jdbc:hive2://localhost:10000
20/10/24 20:28:38 [main]: WARN jdbc.HiveConnection: Failed to connect to localhost:10000
Unknown HS2 problem when communicating with Thrift server.
Error: Could not open client transport with JDBC Uri: jdbc:hive2://localhost:10000: Invalid status 16 (state=08S01,code=0)
Beeline version 3.1.2 by Apache Hive it's very confusing for me for several days, and I cannot just use "jdbc:hive2://" within java code, it will give me the same error as using "beeline -u jdbc:hive2://localhost:10000/default" in command line
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02-27-2019
11:29 AM
Thats odd that the VM is read only....Are you making the change in CM for the flume logging safety valve? -pd
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01-12-2018
09:18 AM
2 Kudos
You can use PURGE option to delete data file as well along with partition mentadata but it works only in INTERNAL/MANAGED tables ALTER TABLE table_name DROP [IF EXISTS] PARTITION partition_spec PURGE; External Tables have a two step process to alterr table drop partition + removing file ALTER TABLE table_name DROP [IF EXISTS] PARTITION partition_spec; hadoop fs -rm -r <partition file path>
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09-09-2017
12:28 AM
How to point namenode particular txid ?
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07-04-2017
12:54 PM
1 Kudo
You mentioned that you still need to fix the 'Under-Replicated Blocks'. This is what I found with google to fix: $ su - <$hdfs_user> $ hdfs fsck / | grep 'Under replicated' | awk -F':' '{print $1}' >> /tmp/under_replicated_files $ for hdfsfile in `cat /tmp/under_replicated_files`; do echo "Fixing $hdfsfile :" ; hadoop fs -setrep 3 $hdfsfile; done
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01-21-2016
08:16 AM
Change the download path when you go through the initial setup of CDH where it asks to specify the parcel repository
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10-28-2015
11:03 AM
Sorry the Error message looks like this ============= Driver Version: V2.5.12.1005 Running connectivity tests... Attempting connection Failed to establish connection SQLSTATE: HY000[Cloudera][HiveODBC] (34) Error from Hive: ETIMEDOUT. TESTS COMPLETED WITH ERROR =====================
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