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Title | Views | Posted |
---|---|---|
983 | 05-02-2016 06:42 AM |
04-18-2017
09:52 AM
Hi all, We have table 't1' in HBase using the namespace 'test'. create 'test:t1', {NAME => 'f1', VERSIONS => 5} Creating a view in Phoenix throws the below error: 0: jdbc:phoenix:localhost> CREATE VIEW "test.t1" ( pk VARCHAR PRIMARY KEY, "f1".val VARCHAR );
Error: ERROR 505 (42000): Table is read only. (state=42000,code=505)
org.apache.phoenix.schema.ReadOnlyTableException: ERROR 505 (42000): Table is read only.
at org.apache.phoenix.query.ConnectionQueryServicesImpl.ensureTableCreated(ConnectionQueryServicesImpl.java:1032)
at org.apache.phoenix.query.ConnectionQueryServicesImpl.createTable(ConnectionQueryServicesImpl.java:1415)
at org.apache.phoenix.schema.MetaDataClient.createTableInternal(MetaDataClient.java:2180)
at org.apache.phoenix.schema.MetaDataClient.createTable(MetaDataClient.java:865)
at org.apache.phoenix.compile.CreateTableCompiler$2.execute(CreateTableCompiler.java:194)
at org.apache.phoenix.jdbc.PhoenixStatement$2.call(PhoenixStatement.java:343)
at org.apache.phoenix.jdbc.PhoenixStatement$2.call(PhoenixStatement.java:331)
at org.apache.phoenix.call.CallRunner.run(CallRunner.java:53)
at org.apache.phoenix.jdbc.PhoenixStatement.executeMutation(PhoenixStatement.java:329)
at org.apache.phoenix.jdbc.PhoenixStatement.execute(PhoenixStatement.java:1440)
at sqlline.Commands.execute(Commands.java:822)
at sqlline.Commands.sql(Commands.java:732)
at sqlline.SqlLine.dispatch(SqlLine.java:808)
at sqlline.SqlLine.begin(SqlLine.java:681)
at sqlline.SqlLine.start(SqlLine.java:398)
at sqlline.SqlLine.main(SqlLine.java:292)
However, creating a table in Phoenix throws SchemaNotFoundException: 0: jdbc:phoenix:localhost> CREATE table "test.t1" ( pk VARCHAR PRIMARY KEY, "f1".val VARCHAR );
Error: ERROR 722 (43M05): Schema does not exists schemaName=TEST (state=43M05,code=722)
org.apache.phoenix.schema.SchemaNotFoundException: ERROR 722 (43M05): Schema does not exists schemaName=TEST
at org.apache.phoenix.compile.FromCompiler$BaseColumnResolver.createSchemaRef(FromCompiler.java:507)
at org.apache.phoenix.compile.FromCompiler$SchemaResolver.<init>(FromCompiler.java:300)
at org.apache.phoenix.compile.FromCompiler.getResolverForCreation(FromCompiler.java:160)
at org.apache.phoenix.compile.CreateTableCompiler.compile(CreateTableCompiler.java:83)
at org.apache.phoenix.jdbc.PhoenixStatement$ExecutableCreateTableStatement.compilePlan(PhoenixStatement.java:628)
at org.apache.phoenix.jdbc.PhoenixStatement$ExecutableCreateTableStatement.compilePlan(PhoenixStatement.java:617)
at org.apache.phoenix.jdbc.PhoenixStatement$2.call(PhoenixStatement.java:336)
at org.apache.phoenix.jdbc.PhoenixStatement$2.call(PhoenixStatement.java:331)
at org.apache.phoenix.call.CallRunner.run(CallRunner.java:53)
at org.apache.phoenix.jdbc.PhoenixStatement.executeMutation(PhoenixStatement.java:329)
at org.apache.phoenix.jdbc.PhoenixStatement.execute(PhoenixStatement.java:1440)
at sqlline.Commands.execute(Commands.java:822)
at sqlline.Commands.sql(Commands.java:732)
at sqlline.SqlLine.dispatch(SqlLine.java:808)
at sqlline.SqlLine.begin(SqlLine.java:681)
at sqlline.SqlLine.start(SqlLine.java:398)
at sqlline.SqlLine.main(SqlLine.java:292)
How do I map Phoenix view to an existing HBase table in a namspace with HDP 2.5.3? Thank you in advance,
Christian
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Labels:
- Labels:
-
Apache HBase
-
Apache Phoenix
03-08-2017
02:27 PM
FYI: With above description we were able to upgrade to version 2.5.3 without any Kafka cluster downtime. We only had some issues with a Kafka client written in Go.
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01-18-2017
04:56 AM
Hi @lraheja, our HDP 2.4 cluster was installed with Ambari. Hence we must use Ambari Upgrade Guide to perform the HDP 2.4 to HDP 2.5.0 upgrade. I don't think a manual upgrade is an option.
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01-17-2017
12:22 PM
Hi, We are planning the rolling upgrade from HDP 2.4.0.0 to 2.5.3.0. No downtime during the upgrade is especially crucial for the Kafka cluster: Is the update of the Kafka brokers also rolling? Will clients (producer and cusumer) from Kafka 0.9.0.2.4 releases work with brokers from Kafka 0.10.0 releases? If the answer for 1) and/or 2) is No - what is the best practice to guarantee no downtime? Thank you in advance,
Christian
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Labels:
- Labels:
-
Apache Kafka
07-05-2016
09:24 AM
1 Kudo
Below our findings: As shown in
the DDL above, bucketing is used in the problematic tables. Bucket number gets
decided according to hashing algorithm, out of 10 buckets for each insert 1
bucket will have actual data file and other 9 buckets will have same file name
with zero size. During this hash calculation race condition is happening when inserting
a new row into the bucketed table via multiple different threads/processes, due
to which 2 or more threads/processes are trying to create the same bucket file. In addition,
as discussed here, the current architecture is not really recommended as over the period of time there would be millions of files on HDFS,
which would create extra overhead on the Namenode. Also select * statement
would take lot of time as it will have to merge all the files from bucket. Solutions which solved both issues: Removed buckets from the two
problematic tables, hece the probability of race conditions will be very less Added hive.support.concurrency=true before the insert statements Weekly Oozie workflow that uses implicit Hive concatenate command on both tables to mitigate the small file problem FYI @Ravi Mutyala
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05-31-2016
09:57 AM
Yes, we see this issue only when running multiple Oozie worklflows in parallel.
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05-31-2016
09:55 AM
There is no KMS used in those szenarios.
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05-31-2016
09:52 AM
Backup Hue /etc/init.d/hue stop
su - hue
mkdir ~/hue_backup
cd /var/lib/hue
sqlite3 desktop.db .dump > ~/hue_backup/desktop.bak
Backup the Hue Configuration cp -RL /etc/hue/conf ~/hue_backup
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05-03-2016
07:18 AM
Hi, ShareLib concept is well described here Below an example that works with HDP 2.2.4 <workflow-app name="jar-test" xmlns="uri:oozie:workflow:0.4">
<start to="db-import"/>
<action name="db-import">
<sqoop xmlns="uri:oozie:sqoop-action:0.2">
<job-tracker>${jobTracker}</job-tracker>
<name-node>${nameNode}</name-node>
<command>list-tables --connect jdbc:mysql://<db-host>/hive --username hive --password hive</command>
<archive>/user/<username>/wf-test/lib/mysql-connector-java.jar</archive>
</sqoop>
<ok to="end"/>
<error to="kill"/>
</action>
<kill name="kill">
<message>Action failed, error message[${wf:errorMessage(wf:lastErrorNode())}]</message>
</kill>
<end name="end"/>
</workflow-app> Hope it helps, Chris
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05-03-2016
06:39 AM
@simram : What HDP version are you using? Is the Oozie service check in Ambari successfull?
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05-03-2016
04:28 AM
Hi @Ravi Mutyala, Thank you for your response. It's even worser: In sum we have 8 Oozie workflows containing in total 500+ sub-workflows for loading source tables with a Sqoop action. Each sub-workflow contains the above mentioned Hive action for auditing. This creates for each loaded source table two INSERT INTO TABLE statements in Hive. We hit the error when running those 8 workflows in parallel. Would a sequential execution of the workflows help in this case? What do you exactly mean with microbatching? Thanks, Chris
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05-03-2016
03:40 AM
1 Kudo
Hi all, We have an
Hive action within a Oozie workflow that throws the following error
occasionally: 2016-04-29 16:16:19,129 INFO [main] ql.Driver (Driver.java:launchTask(1604)) - Starting task [Stage-0:MOVE] in serial mode
73997 [main] INFO org.apache.hadoop.hive.ql.exec.Task - Loading data to table audit.aud_tbl_validation_result from hdfs://<nameservice>/tmp/hive/<user>/6218606e-a08c-4912-ad02-6a147165b7d7/hive_2016-04-29_16-15-51_649_3401400148024571575-1/-ext-10000
2016-04-29 16:16:19,129 INFO [main] exec.Task (SessionState.java:printInfo(824)) - Loading data to table audit.aud_tbl_validation_result from hdfs://<nameservice>/tmp/hive/<user>/6218606e-a08c-4912-ad02-6a147165b7d7/hive_2016-04-29_16-15-51_649_3401400148024571575-1/-ext-10000
76263 [main] INFO hive.ql.metadata.Hive - Renaming src:hdfs://<nameservice>/tmp/hive/<user>/6218606e-a08c-4912-ad02-6a147165b7d7/hive_2016-04-29_16-15-51_649_3401400148024571575-1/-ext-10000/000000_0;dest: hdfs://<nameservice>/apps/hive/warehouse/audit.db/aud_tbl_validation_result/000000_0_copy_348;Status:false
2016-04-29 16:16:21,395 INFO [main] metadata.Hive (Hive.java:renameFile(2461)) - Renaming src:hdfs://<nameservice>/tmp/hive/<user>/6218606e-a08c-4912-ad02-6a147165b7d7/hive_2016-04-29_16-15-51_649_3401400148024571575-1/-ext-10000/000000_0;dest: hdfs://<nameservice>/apps/hive/warehouse/audit.db/aud_tbl_validation_result/000000_0_copy_348;Status:false
76274 [main] ERROR org.apache.hadoop.hive.ql.exec.Task - Failed with exception copyFiles: error while moving files!!! Cannot move hdfs://<nameservice>/tmp/hive/<user>/6218606e-a08c-4912-ad02-6a147165b7d7/hive_2016-04-29_16-15-51_649_3401400148024571575-1/-ext-10000/000000_0 to hdfs://<nameservice>/apps/hive/warehouse/audit.db/aud_tbl_validation_result/000000_0_copy_348
org.apache.hadoop.hive.ql.metadata.HiveException: copyFiles: error while moving files!!! Cannot move hdfs://<nameservice>/tmp/hive/<user>/6218606e-a08c-4912-ad02-6a147165b7d7/hive_2016-04-29_16-15-51_649_3401400148024571575-1/-ext-10000/000000_0 to hdfs://<nameservice>/apps/hive/warehouse/audit.db/aud_tbl_validation_result/000000_0_copy_348
at org.apache.hadoop.hive.ql.metadata.Hive.copyFiles(Hive.java:2536)
at org.apache.hadoop.hive.ql.metadata.Table.copyFiles(Table.java:673)
at org.apache.hadoop.hive.ql.metadata.Hive.loadTable(Hive.java:1571)
at org.apache.hadoop.hive.ql.exec.MoveTask.execute(MoveTask.java:288)
at org.apache.hadoop.hive.ql.exec.Task.executeTask(Task.java:160)
at org.apache.hadoop.hive.ql.exec.TaskRunner.runSequential(TaskRunner.java:85)
at org.apache.hadoop.hive.ql.Driver.launchTask(Driver.java:1606)
at org.apache.hadoop.hive.ql.Driver.execute(Driver.java:1367)
at org.apache.hadoop.hive.ql.Driver.runInternal(Driver.java:1179)
at org.apache.hadoop.hive.ql.Driver.run(Driver.java:1006)
at org.apache.hadoop.hive.ql.Driver.run(Driver.java:996)
at org.apache.hadoop.hive.cli.CliDriver.processLocalCmd(CliDriver.java:247)
at org.apache.hadoop.hive.cli.CliDriver.processCmd(CliDriver.java:199)
at org.apache.hadoop.hive.cli.CliDriver.processLine(CliDriver.java:410)
at org.apache.hadoop.hive.cli.CliDriver.processLine(CliDriver.java:345)
at org.apache.hadoop.hive.cli.CliDriver.processReader(CliDriver.java:443)
at org.apache.hadoop.hive.cli.CliDriver.processFile(CliDriver.java:459)
at org.apache.hadoop.hive.cli.CliDriver.executeDriver(CliDriver.java:739)
at org.apache.hadoop.hive.cli.CliDriver.run(CliDriver.java:677)
at org.apache.hadoop.hive.cli.CliDriver.main(CliDriver.java:616)
at org.apache.oozie.action.hadoop.HiveMain.runHive(HiveMain.java:323)
at org.apache.oozie.action.hadoop.HiveMain.run(HiveMain.java:284)
at org.apache.oozie.action.hadoop.LauncherMain.run(LauncherMain.java:39)
at org.apache.oozie.action.hadoop.HiveMain.main(HiveMain.java:66)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:606)
at org.apache.oozie.action.hadoop.LauncherMapper.map(LauncherMapper.java:226)
at org.apache.hadoop.mapred.MapRunner.run(MapRunner.java:54)
at org.apache.hadoop.mapred.MapTask.runOldMapper(MapTask.java:450)
at org.apache.hadoop.mapred.MapTask.run(MapTask.java:343)
at org.apache.hadoop.mapred.YarnChild$2.run(YarnChild.java:163)
at java.security.AccessController.doPrivileged(Native Method)
at javax.security.auth.Subject.doAs(Subject.java:415)
at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1628)
at org.apache.hadoop.mapred.YarnChild.main(YarnChild.java:158)
Caused by: java.io.IOException: Cannot move hdfs://<nameservice>/tmp/hive/<user>/6218606e-a08c-4912-ad02-6a147165b7d7/hive_2016-04-29_16-15-51_649_3401400148024571575-1/-ext-10000/000000_0 to hdfs://<nameservice>/apps/hive/warehouse/audit.db/aud_tbl_validation_result/000000_0_copy_348
at org.apache.hadoop.hive.ql.metadata.Hive.copyFiles(Hive.java:2530)
... 36 more The Namenode logs reveals more details --> destination exists! hadoop-hdfs-namenode-<host>.log.3:2016-04-29 16:16:21,394 WARN hdfs.StateChange (FSDirectory.java:unprotectedRenameTo(540)) - DIR* FSDirectory.unprotectedRenameTo: failed to rename /tmp/hive/<user>/6218606e-a08c-4912-ad02-6a147165b7d7/hive_2016-04-29_16-15-51_649_3401400148024571575-1/-ext-10000/000000_0 to /apps/hive/warehouse/audit.db/aud_tbl_validation_result/000000_0_copy_348 because destination exists Cross checking HDFS, the file is in the Hive warehouse directory. Stack/Settings: HDP 2.2.4, Kerberos enabled, NN HA, Hive ACID disabled Hive
statements used in Oozie workflow: INSERT INTO TABLE AUDIT.AUD_TBL_BATCH_RUN_LOG VALUES(${Batch_ID},"${Business_DT}", ...);
INSERT INTO TABLE AUDIT.AUD_TBL_VALIDATION_RESULT VALUES(${Batch_ID},"${Job_ID}","${Status}", ...); Hive DLL: CREATE TABLE aud_tbl_batch_run_log (
AUD_Batch_ID BIGINT,
AUD_JOB_ID STRING,
... )
INTO 10 BUCKETS stored as orc TBLPROPERTIES ('transactional'='false');
CREATE TABLE aud_tbl_batch_validation_result (
AUD_Batch_ID BIGINT,
AUD_JOB_ID STRING,
AUD_STATUS STRING,
... )
INTO 10 BUCKETS stored as orc TBLPROPERTIES ('transactional'='false'); We see this error occasionally for table aud_tbl_batch_run_log as well as aud_tbl_batch_validation_result. Why does the file sometimes already exists? How does the insert into table internally works? Any hints to solve this are highly appreciated. Thank you & best regards, Chris
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Labels:
- Labels:
-
Apache Hive
-
Apache Oozie
05-02-2016
12:40 PM
Does this work? sqoop list-databases --connect jdbc:mysql://xyz.syz/ --username hive --password hive
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05-02-2016
11:47 AM
Hi @simran kaur, You can list the available sharelibs with the following command: sudo -u oozie oozie admin -shareliblist -oozie http://<oozie_host>:11000/oozie
[Available ShareLib]
oozie
hive
distcp
hcatalog
sqoop
mapreduce-streaming
spark
hive2
pig
Also, is the mysql driver in your lib folder of the workflow application as described here? https://oozie.apache.org/docs/4.2.0/WorkflowFunctionalSpec.html#a7_Workflow_Application_Deployment Hope this helps, Chris
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05-02-2016
10:50 AM
@vperiasamy I had the same error and I can confirm that above command fixed the issue. Thx!
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05-02-2016
06:42 AM
Hi @Roberto Sancho: 47GB RAM is not a lot for a NN. It will work for a PoC, but this is definitely not recommended for production.
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04-26-2016
02:08 PM
Well, it depends mainly on the memory of standby namenode. Imagine the following scenario: If the active namenode fails, the standby namenode takes over very quickly because it has the latest state available in memory: both the latest edit logs entries and an up-to-date block mapping. That means the RAM should be more or less the same in both namenodes. Cheers, Chris
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04-26-2016
01:49 PM
Hi Roberto, I would recommend using Namenode HA (High Availability) rather than a secondary namenode. However, in a HA scenario the Namenode specs would be identical which would increases your total costs. Hope it helps,
Chris
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04-26-2016
05:28 AM
Hi, I had a similar effect after upgrading to Ambari 2.2.1.1 and HDP 2.4. HDFS Summary dashboard showed corrupt blocks but fsck reported a heathly filesystem. Status: HEALTHY
Total size: 42317678169599 B (Total open files size: 89891159 B)
Total dirs: 99625
Total files: 289448
Total symlinks: 0 (Files currently being written: 24)
Total blocks (validated): 519195 (avg. block size 81506328 B) (Total open file blocks (not validated): 24)
Minimally replicated blocks: 519195 (100.0 %)
Over-replicated blocks: 0 (0.0 %)
Under-replicated blocks: 0 (0.0 %)
Mis-replicated blocks: 0 (0.0 %)
Default replication factor: 3
Average block replication: 3.0056088
Corrupt blocks: 0
Missing replicas: 0 (0.0 %)
Number of data-nodes: 9
Number of racks: 1
FSCK ended at Mon Apr 25 17:13:18 CEST 2016 in 4920 milliseconds
The filesystem under path '/' is HEALTHY Solution:
Restarted Ambari (server and agents) as well as Ambari Metrics. After a while, Ambari displayed 0 block errors which is in line with the output from fsck. Cheers, Chris
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04-19-2016
01:44 PM
It seems like the package org/apache/flume/instrumentation/kafka/ has been added in version 1.6. Therefore Flume 1.5.2 doesn't support the KafkaSink.
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04-19-2016
01:05 PM
1 Kudo
Hi all, We are
trying to write in a Kafka queue with Flume. We have HDP 2.2.4, with this Flume
1.5.2.2.2 is installed. Below the kafka sink configuration:
occLogTcp.sinks.KAFKA.type = org.apache.flume.sink.kafka.KafkaSink
occLogTcp.sinks.KAFKA.topic = occTest
occLogTcp.sinks.KAFKA.brokerList = <broker_host_1>:9092,<broker_host_2>:9092
occLogTcp.sinks.KAFKA.requiredAcks = 1
occLogTcp.sinks.KAFKA.batchSize = 20
occLogTcp.sinks.KAFKA.channel = c1 Starting the flume agent
throws the following error: java.lang.NoClassDefFoundError:
org/apache/flume/instrumentation/kafka/KafkaSinkCounter
at org.apache.flume.sink.kafka.KafkaSink.configure(KafkaSink.java:218)
at org.apache.flume.conf.Configurables.configure(Configurables.java:41)
at
org.apache.flume.node.AbstractConfigurationProvider.loadSinks(AbstractConfigurationProvider.java:418)
at org.apache.flume.node.AbstractConfigurationProvider.getConfiguration(AbstractConfigurationProvider.java:103)
at
org.apache.flume.node.PollingPropertiesFileConfigurationProvider$FileWatcherRunnable.run(PollingPropertiesFileConfigurationProvider.java:140)
at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:471)
at java.util.concurrent.FutureTask.runAndReset(FutureTask.java:304)
at
java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.access$301(ScheduledThreadPoolExecutor.java:178)
at
java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.run(ScheduledThreadPoolExecutor.java:293)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
at java.lang.Thread.run(Thread.java:745)Caused by:
java.lang.ClassNotFoundException:
org.apache.flume.instrumentation.kafka.KafkaSinkCounter
at java.net.URLClassLoader$1.run(URLClassLoader.java:366)
at java.net.URLClassLoader$1.run(URLClassLoader.java:355)
at java.security.AccessController.doPrivileged(Native Method)
at java.net.URLClassLoader.findClass(URLClassLoader.java:354)
at java.lang.ClassLoader.loadClass(ClassLoader.java:425)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:308)
at java.lang.ClassLoader.loadClass(ClassLoader.java:358)
... 12 more Thank you in advance,
Christian
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Labels:
- Labels:
-
Apache Flume
-
Apache Kafka
04-15-2016
01:26 PM
7 Kudos
First you need to get the ID of the alert definition in your system: curl -H "X-Requested-By: ambari" -u admin:<password> -X GET http://<ambari_host>:<ambari_port>/api/v1/clusters/<cluster_name>/alert_definitions?AlertDefinition/name=ambari_agent_disk_usage Get the alert definition with the id from prevoius step: curl -H "X-Requested-By: ambari" -u admin:<password> -X GET http://<ambari_host>:<ambari_port>/api/v1/clusters/<cluster_name>/alert_definitions/61
Set the new thresholds by changing the JSON alert definition: curl -H "X-Requested-By: ambari" -u admin:<password> -i -X PUT -d '
{
"AlertDefinition":{
"cluster_name":"xyz",
"component_name":"AMBARI_AGENT",
"description":"This host-level alert is triggered if the amount of disk space used on a host goes above specific thresholds. The default values are 85% for WARNING and 90% for CRITICAL.",
"enabled":true,
"id":61,
"ignore_host":false,
"interval":1,
"label":"Ambari Agent Disk Usage",
"name":"ambari_agent_disk_usage",
"scope":"HOST",
"service_name":"AMBARI",
"source":{
"parameters":[
{
"name":"minimum.free.space",
"display_name":"Minimum Free Space",
"units":"bytes",
"value":1.0E9,
"description":"The overall amount of free disk space left before an alert is triggered.",
"type":"NUMERIC",
"threshold":"WARNING"
},
{
"name":"percent.used.space.warning.threshold",
"display_name":"Warning",
"units":"%",
"value":0.85,
"description":"The percent of disk space consumed before a warning is triggered.",
"type":"PERCENT",
"threshold":"WARNING"
},
{
"name":"percent.free.space.critical.threshold",
"display_name":"Critical",
"units":"%",
"value":0.9,
"description":"The percent of disk space consumed before a critical alert is triggered.",
"type":"PERCENT",
"threshold":"CRITICAL"
}
],
"path":"alert_disk_space.py",
"type":"SCRIPT"
}
}
}' http://<ambari_host>:<ambari_port>/api/v1/clusters/<cluster_name>/alert_definitions/61 Ambari API Reference: https://github.com/apache/ambari/blob/trunk/ambari-server/docs/api/v1/index.md
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