About srinivaspadala_

srinivaspadala_ · ‎10-23-2017

Hi Team , to pull the data from servers , we are running ssh commands using ExecuteStreamCommand processor . looks like some ssh commands/flowfiles are blocked in this processor due to no response from server(it is acceptable and common in server) . if it is the case ,this processor has to terminate the flowfile , but it is not and after sometime , ExecuteStreamCommand processor is hanging up . Queue is showing some no of flow files ,but could not able to clear the queue in Nifi UI . looks ExecuteStreamCommand processor is trying or locked in it . what will be the solution to overcome this situation even if it is unable to process or run the ssh commads . Error we got in Nifi-app.log : 2017-03-27 04:03:56,125 ERROR [Timer-Driven Process Thread-82] o.a.n.p.standard.ExecuteStreamCommand ExecuteStreamCommand[id=5bda45d9-6601-14f0-3a44-294b3f5d994e] Transferring flow file StandardFlowFileRecord[uuid=633b08a2-f84d-4dc7-9a8c-175c5bc13b2e,claim=StandardContentClaim [resourceClaim=StandardResourceClaim[id=1490600595096-9, container=default, section=9], offset=0, length=0],offset=0,name=jmbfis01.northamerica.delphiauto.net,size=0] to output stream. Executable command ssh ended in an error: 2017-03-27 04:03:56,125 WARN [Timer-Driven Process Thread-84] o.a.n.p.standard.ExecuteStreamCommand ExecuteStreamCommand[id=5bda45d9-6601-14f0-3a44-294b3f5d994e] Processor Administratively Yielded for 1 sec due to processing failure 2017-03-27 04:03:56,125 WARN [Timer-Driven Process Thread-84] o.a.n.c.t.ContinuallyRunProcessorTask Administratively Yielding ExecuteStreamCommand[id=5bda45d9-6601-14f0-3a44-294b3f5d994e] due to uncaught Exception: java.lang.IllegalStateException: Partition is closed 2017-03-27 04:03:56,126 WARN [Timer-Driven Process Thread-84] o.a.n.c.t.ContinuallyRunProcessorTask java.lang.IllegalStateException: Partition is closed at org.wali.MinimalLockingWriteAheadLog$Partition.update(MinimalLockingWriteAheadLog.java:945) ~[nifi-write-ahead-log-1.1.0.2.1.2.0-10.jar:1.1.0.2.1.2.0-10] at org.wali.MinimalLockingWriteAheadLog.update(MinimalLockingWriteAheadLog.java:238) ~[nifi-write-ahead-log-1.1.0.2.1.2.0-10.jar:1.1.0.2.1.2.0-10] at org.apache.nifi.controller.repository.WriteAheadFlowFileRepository.updateRepository(WriteAheadFlowFileRepository.java:210) ~[nifi-framework-core-1.1.0.2.1.2.0-10.jar:1.1.0.2.1.2.0-10] at org.apache.nifi.controller.repository.WriteAheadFlowFileRepository.updateRepository(WriteAheadFlowFileRepository.java:178) ~[nifi-framework-core-1.1.0.2.1.2.0-10.jar:1.1.0.2.1.2.0-10] at org.apache.nifi.controller.repository.StandardProcessSession.commit(StandardProcessSession.java:363) ~[nifi-framework-core-1.1.0.2.1.2.0-10.jar:1.1.0.2.1.2.0-10] at org.apache.nifi.controller.repository.StandardProcessSession.commit(StandardProcessSession.java:305) ~[nifi-framework-core-1.1.0.2.1.2.0-10.jar:1.1.0.2.1.2.0-10] at org.apache.nifi.processor.AbstractProcessor.onTrigger(AbstractProcessor.java:28) ~[nifi-api-1.1.0.2.1.2.0-10.jar:1.1.0.2.1.2.0-10] at org.apache.nifi.controller.StandardProcessorNode.onTrigger(StandardProcessorNode.java:1099) ~[nifi-framework-core-1.1.0.2.1.2.0-10.jar:1.1.0.2.1.2.0-10]

srinivaspadala_ · ‎09-21-2017

my few spark tasks in the job are failing due to memory overhead exception , those are retried by 4 times by removing and adding executors , if the issue persist still after the 4th attempt , the spark job is terminated . I would like to ignore that particular task (or causing that particular partition data ) and continue the execution for remaining partitions or tasks . I knew we cabn resolve this issue by adding more sufficient value to spark's memoryoverhead property . But i don't want to use more memory . Please let me know is it possible or not . if possible , what will be the approach . Thanks in Advance

srinivaspadala_ · ‎09-06-2017

Using textFileStream in spark streaming , we are getting the new files from a directory but if any existing file loaded again with content modification in the directory . facing inconsistency like some times those are able to read in spark stream program some times not . what will be the reason and the solution for this . Thanks in Advance .

srinivaspadala_ · ‎07-26-2017

I am newbie for pyspark , i could not able to get pyspark exception handling in transformations . for example i am calling a function on each line of map transformation , i would like to handle few exceptions in that functions and log them . exampleof my code : .map(lambda eachone : ultility.function1(eachone , somesrgs)) , here in function1 i would like to handle exceptions . please provide an example for better understanding . thank you .

srinivaspadala_ · ‎04-11-2017

We are getting "NameNode High Availability Health"alert frequently from ambari notifications . Here ,we have observed Standby or Active nodes frequently going to Unknown stage and coming back immidiately . Active['xxxxxxx:50070'], Standby[], Unknown['xxxxxx"50070'] . There are log records are captured related to this in ambari-alerts.log . What will be the reason to change Active/Standby to Unknown . ? What will be the solution for this . Thanks in Advance . Looks like the issue simmilar to : https://community.hortonworks.com/articles/74422/alerts-for-namenode-ha.html

srinivaspadala_ · ‎04-04-2017

we observed there is folder with hbase table name is created under /tmp . there are _temporary folders , part-m files are there in those . what might be the create/storing data here ? Is there any data loss or any table corruption happens if we try to delete those temporary table directory ?

srinivaspadala_ · ‎04-04-2017

Thanks @rmaruthiyodan . Please provide some more clarity for your reply . you have given 'alter table' instead of 'alter index', that is fine . you mentioned SCHEMA.INDEXNAME ,SCHEMA is related to table as i knew , Is it related to index s well ? I dont have ant SCHEMA for the table ,what will bethe default SCHEMA name ? Thanks

srinivaspadala_ · ‎04-03-2017

Thanks @mqureshi . can we add 'snappy compression' with alter phoenix command ? if yes , could please provide the syntax for it . Thanks you .

srinivaspadala_ · ‎04-03-2017

We are using phoenix layer on top of Hbase table & created hbase tables via phoenix and appied snappy compression . is it possible to apply snappy compression or any compression on phoenix seconday index tables also ? if yes ,could you please share the syntax to use . Thanks .

srinivaspadala_ · ‎03-09-2017

2017-03-08 17:39:56,598 INFO [B.fifo.QRpcServer.handler=40,queue=0,port=16020] shortcircuit.ShortCircuitCache: ShortCircuitCache(0x5d8b409d): could not load 1122567351_BP-1119343884-10.192.24.155-1480056022466 due to InvalidToken exception. org.apache.hadoop.security.token.SecretManager$InvalidToken: access control error while attempting to set up short-circuit access to /apps/hbase/data/data/default/HBASE_TABLE_NAME/28610685b5622e4352e32afa842b45b0/INFO/4962a35101d5419989bdcc417d8d85f3 at org.apache.hadoop.hdfs.BlockReaderFactory.requestFileDescriptors(BlockReaderFactory.java:589) at org.apache.hadoop.hdfs.BlockReaderFactory.createShortCircuitReplicaInfo(BlockReaderFactory.java:488) at org.apache.hadoop.hdfs.shortcircuit.ShortCircuitCache.create(ShortCircuitCache.java:784) at org.apache.hadoop.hdfs.shortcircuit.ShortCircuitCache.fetchOrCreate(ShortCircuitCache.java:718) at org.apache.hadoop.hdfs.BlockReaderFactory.getBlockReaderLocal(BlockReaderFactory.java:422) at org.apache.hadoop.hdfs.BlockReaderFactory.build(BlockReaderFactory.java:333) at org.apache.hadoop.hdfs.DFSInputStream.blockSeekTo(DFSInputStream.java:662) at org.apache.hadoop.hdfs.DFSInputStream.readWithStrategy(DFSInputStream.java:898) at org.apache.hadoop.hdfs.DFSInputStream.read(DFSInputStream.java:955) at java.io.DataInputStream.read(DataInputStream.java:149) at org.apache.hadoop.hbase.io.hfile.HFileBlock.readWithExtra(HFileBlock.java:679) at org.apache.hadoop.hbase.io.hfile.HFileBlock$AbstractFSReader.readAtOffset(HFileBlock.java:1412) at org.apache.hadoop.hbase.io.hfile.HFileBlock$FSReaderImpl.readBlockDataInternal(HFileBlock.java:1625) at org.apache.hadoop.hbase.io.hfile.HFileBlock$FSReaderImpl.readBlockData(HFileBlock.java:1504) at org.apache.hadoop.hbase.io.hfile.HFileReaderV2.readBlock(HFileReaderV2.java:439) at org.apache.hadoop.hbase.io.hfile.HFileBlockIndex$BlockIndexReader.loadDataBlockWithScanInfo(HFileBlockIndex.java:269) at org.apache.hadoop.hbase.io.hfile.HFileReaderV2$AbstractScannerV2.seekTo(HFileReaderV2.java:636) at org.apache.hadoop.hbase.io.hfile.HFileReaderV2$AbstractScannerV2.seekTo(HFileReaderV2.java:586)

srinivaspadala_ · ‎03-08-2017

@Jay SenSharma I am able to acess above link . Result of the above URL : {"FileStatus":{"accessTime":0,"blockSize":0,"childrenNum":8,"fileId":16386,"group":"hdfs","length":0,"modificationTime":1480691521527,"owner":"hdfs","pathSuffix":"","permission":"777","replication":0,"storagePolicy":0,"type":"DIRECTORY"}} ----------------------------------- I have mentioned right value to right FQDN value to hadoop.proxyuser.root.hosts . Still Having the issue

srinivaspadala_ · ‎03-08-2017

I have mentioned FQDN only in Ambari .mentioned wrongle here , sorry for that .

srinivaspadala_ · ‎03-08-2017

We have added above 2 properties as you mentioned. still we are facing the same issue

srinivaspadala_ · ‎03-08-2017

PFA for whole issue we are facing . hive-view-error-log.txt using Ambari 2.4.1 and HDP2.5 . FYI - Ambari server has started with root user. we have configured below properties in Ambari. hadoop.proxyuser.root.groups=* hadoop.proxyuser.root.hosts=FQDN(ambari-serverhost) Getting below error in Hive view . Error : Caused by: org.apache.hadoop.security.authorize.AuthorizationException: Unauthorized connection for super-user: root from IP xx.xx.xx.xx at sun.reflect.GeneratedConstructorAccessor3693.newInstance(Unknown Source) at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45) at java.lang.reflect.Constructor.newInstance(Constructor.java:423) at org.apache.hadoop.ipc.RemoteException.instantiateException(RemoteException.java:106) at org.apache.hadoop.ipc.RemoteException.unwrapRemoteException(RemoteException.java:95) at org.apache.hadoop.hdfs.web.WebHdfsFileSystem.toIOException(WebHdfsFileSystem.java:509) at org.apache.hadoop.hdfs.web.WebHdfsFileSystem.validateResponse(WebHdfsFileSystem.java:487) at org.apache.hadoop.hdfs.web.WebHdfsFileSystem.access$200(WebHdfsFileSystem.java:113) at org.apache.hadoop.hdfs.web.WebHdfsFileSystem$FsPathOutputStreamRunner$1.close(WebHdfsFileSystem.java:936) at org.apache.ambari.view.utils.hdfs.HdfsUtil.putStringToFile(HdfsUtil.java:48) ... 101 more Caused by: org.apache.hadoop.ipc.RemoteException(org.apache.hadoop.security.authorize.AuthorizationException): Unauthorized connection for super-user: root from IP xx.xx.xx.xx at org.apache.hadoop.hdfs.web.JsonUtil.toRemoteException(JsonUtil.java:118) at org.apache.hadoop.hdfs.web.WebHdfsFileSystem.validateResponse(WebHdfsFileSystem.java:477) ... 104 more

srinivaspadala_ · ‎03-03-2017

Hi , As we knew , we can connect to phoenix/hbase in 2 ways . 1 . phoenix query server using thin-client , this way we can pass only 1 phoenix query server ip/host to the connect string . 2. zookeeper jdbc - we can pass all zookeeper ip's as part connection URL . 1.What is the difference between them ? 2. Which one can give more performance ? 3. How can we can get load balance if we go with phoenix-query server JDBC (thin-client) connection ? 4. which one is the best method to get read performance ?

srinivaspadala_ · ‎01-26-2017

Thanks for your guidelines @Matt I am sure each flow file is having grade and branch attributes . as you said , We are getting NULL(no value set) values not empty for branch and grade in my case ,We have 3 conditions in which data will be : 1. sometimes we are getting NULL value for grade , not for branch . 2.sometimes , NULL for branch ,some value for grade . 3. sometimes both fields are getting NULL values . ex : ename, eno , salary , branch ,grade srini,1,10000,branch-A, sai,2,2000,,grade-A sai,3,, As i understood , conditions are wokr with 'AND' caluse , will above solution work for my case ? Thanks in Advance .

srinivaspadala_ · ‎01-26-2017

IS there any way to assign a default value if an attribute of a flowfile is NULL or empty in Nifi flow . ex: We are getting realtime streaming data (ename, empNO , salary , grade,branch) , now and then We are getting null values for the grade and branch fields . We would like to assign 'nograde','branch-none' values to grade,branch attributes in Nifi processor . Please let us know the way . Thanks in advance .

srinivaspadala_ · ‎12-15-2016

Hi , Is it possible to create an email alert when there is no flow files ,means no data is going through a connection or a processor ? Please provide your suggestions . thanks in advance .

srinivaspadala_ · ‎12-14-2016

Is there any way to archive HBase data like "Hadoop Archive" ?

srinivaspadala_ · ‎11-05-2016

The below input and script is working in http://jolt-demo.appspot.com/#andrewkcarter2 , But it is not working in Nifi JolttransformationJson . This example is concatenation of firstname and lastname . I understood it is becuase of not having "Operation : modify-overwrite-beta" in existing Nifi - JoltTransformation plugin . Is it possible to get this function by custom ? If yes, Please provide the process to implement . or let us know the process to ultilize it . Thanks . @Yolanda M. Davis - Please through some light on this .Thanks . Input : { "data": [{ "IDF": "123", "FirstName": "George", "LastName": "Kosher", "PaymentInfo": [{ "Type": "ABC", "Text": "Soft", "Amount": 3 }, { "Type": "ABC", "Text": "Text", "Amount": 5 }], "PaymentCard": [{ "CardNumber": "12345", "CardType": "Credit" }, { "CardNumber": "56789", "CardType": "Credit" }] }, { "IDF": "456", "FirstName": "Mill", "LastName": "King", "PaymentInfo": [{ "Type": "ABC", "InstructionText": "Hard", "Amount": 6 }, { "Type": "ABC", "InstructionText": "Text", "Amount": 8 }], "PaymentCard": [{ "CardNumber": "12345", "CardType": "Credit" }, { "CardNumber": "56789", "CardType": "Credit" }] }] } Script : [ { "operation": "shift", "spec": { "data": { "*": { // data arrayf "*": "data[&1].&", // pass thru stuff "PaymentInfo": { "*": { "Amount": "data[&3].Amount[]", "Text": "data[&3].PaymentText[]", "InstructionText": "data[&3].PaymentText[]" } }, "PaymentCard": { "0": { "CardType": "data[&3].CardType" } } } } } }, { "operation": "modify-overwrite-beta", "spec": { "data": { "*": { // data array "Name": "=concat(@(1,FirstName),' ',@(1,LastName))", "Amount": "=sum" // should work on Jolt 0.0.24 } } } }, { "operation": "remove", "spec": { "data": { "*": { // data array "FirstName": "", "LastName": "" } } } } ] Output : { "data" : [ { "IDF" : "123", "Amount" : [ 3, 5 ], "PaymentText" : [ "Soft", "Text" ], "CardType" : "Credit", "Name" : "George Kosher" }, { "IDF" : "456", "Amount" : [ 6, 8 ], "PaymentText" : [ "Hard", "Text" ], "CardType" : "Credit", "Name" : "Mill King" } ] }

srinivaspadala_ · ‎11-04-2016

first of all thank you @Yolanda M. Davis for quick response . Correct me if i am wrong , the above solution may work only eliminate duplicate json records based on one field, but we have a senarios like eliminating duplicates based on multiple fields . in the below example domain,location,time,function,unit Please provide the scripts to process in jolt . Thanks . or I can say simply eliminate duplicate json files from array of json Input : [{ "domain": "www.google.com", "location": "newyork", "time": "CDT UTC-0500", "function": "PACK", "unit": "PACK_ESR" }, { "domain": "www.yahoo.com", "location": "newyork", "time": "CDT UTC-0500", "function": "PACK", "unit": "PACK_ESR" }, { "domain": "www.google.com", "location": "newyork", "time": "CDT UTC-0500", "function": "AOI_S1", "unit": "AOI_L31" }, { "domain": "www.google.com", "location": "newyork", "time": "CDT UTC-0500", "function": "ALIGN", "unit": "ALIGN2" }, { "domain": "www.yahoo.com", "location": "newyork", "time": "CDT UTC-0500", "function": "PACK", "unit": "PACK_ESR" }, { "domain": "www.google.com", "location": "texas", "time": "CDT UTC-0500", "function": "PACK", "unit": "PACK_ESR" }, { "domain": "www.hortonworks.com", "location": "newyork", "time": "CDT UTC-0500", "function": "ALIGN", "unit": "ALIGN2" } ] Desired output : [{ "domain": "www.google.com", "location": "newyork", "time": "CDT UTC-0500", "function": "PACK", "unit": "PACK_ESR" }, { "domain": "www.yahoo.com", "location": "newyork", "time": "CDT UTC-0500", "function": "PACK", "unit": "PACK_ESR", { "domain": "www.google.com", "location": "texas", "time": "CDT UTC-0500", "function": "PACK", "unit": "PACK_ESR" }, { "domain": "www.hortonworks.com", "location": "newyork", "time": "CDT UTC-0500", "function": "ALIGN", "unit": "ALIGN2" } ]

srinivaspadala_ · ‎11-04-2016

I am trying to remove duplicate json records from json array using Jolt transformation . Here is an example i tried : Input : [ { "id": 1, "name": "jeorge", "age": 25 }, { "id": 2, "name": "manhan", "age": 25 }, { "id": 1, "name": "george", "age": 225 } ] Jolt script : [ { "operation": "shift", "spec": { "*": { "id": "[&1].id" } } } ] Output : [ { "id" : 1 }, { "id" : 2 }, { "id" : 1 } ] getting only selected records . along with that , i would like to remove duplicates . Desired Output : [ { "id" : 1 }, { "id" : 2 } ] Please provide the necessary script which will help me . Thanks in advance .

srinivaspadala_ · ‎10-31-2016

means , it is length of row , not key length . for better understanding , please take a look at below ex , row8 is the row-key value of a row , age=88,name=srini88,no=8 are the values of a row . so , here what will be the value which compares against the MAX_ROW_LENGTH . is it row8 length or whole row length(which is the combination of row8,88,srini88,8) ? and Is MAX_ROW_LENGTH possible to modify in hbase-site or for specific table ? if yes , please let us know how it is ? ex : row8 column=0:age, timestamp=1475378868472, value=88 row8 column=0:name, timestamp=1475378868438, value=srini8 row8 column=0:no, timestamp=1475378868384, value=8

srinivaspadala_ · ‎10-31-2016

Hi , In one my application , i am getting illegalargument exception 38121 is > 32767 . so i found that MAX_ROW_LENGTH is having constant value of 32767 . Here my question is MAX_ROW_LENGTH values is belongs to row key or only key length ? as per this link https://hbase.apache.org/apidocs/org/apache/hadoop/hbase/HConstants.html#MAX_ROW_LENGTH , I unsrtood that it is belong to row length not key length ?? Please correct me if i am wrong .

srinivaspadala_ · ‎10-31-2016

Thank you . I am refering this link https://hbase.apache.org/apidocs/org/apache/hadoop/hbase/HConstants.html#MAX_ROW_LENGTH what i understood is MAX_ROW_LENGTH is about whole row not only key . Here is my confusion , how can i take this property is only belongs to key ?

srinivaspadala_ · ‎10-31-2016

Is MAX_ROW_LENGTH belong to to only key or whole row which consists of all columns ??

srinivaspadala_ · ‎10-28-2016

Hi , We have followed the same method . It is working successfully most of the time . But sometimes we are getting the below error . 2016-10-28 18:43:03,603 ERROR [Timer-Driven Process Thread-70] o.apache.nifi.processors.standard.PutSQL PutSQL[id=df59f4c8-f60c-4eb3-7fda-882f7ece2d2a] PutSQL[id=df59f4c8-f60c-4eb3-7fda-882f7ece2d2a] failed to process session due to java.lang.IllegalArgumentException: Row length 37812 is > 32767: java.lang.IllegalArgumentException: Row length 37812 is > 32767 2016-10-28 18:43:03,611 ERROR [Timer-Driven Process Thread-70] o.apache.nifi.processors.standard.PutSQL java.lang.IllegalArgumentException: Row length 37812 is > 32767 at org.apache.hadoop.hbase.client.Mutation.checkRow(Mutation.java:545) ~[na:na] at org.apache.hadoop.hbase.client.Put.<init>(Put.java:110) ~[na:na] at org.apache.hadoop.hbase.client.Put.<init>(Put.java:68) ~[na:na] at org.apache.hadoop.hbase.client.Put.<init>(Put.java:58) ~[na:na] at org.apache.phoenix.index.IndexMaintainer.buildUpdateMutation(IndexMaintainer.java:779) ~[na:na] at org.apache.phoenix.util.IndexUtil.generateIndexData(IndexUtil.java:263) ~[na:na] at org.apache.phoenix.execute.MutationState$1.next(MutationState.java:221) ~[na:na] at org.apache.phoenix.execute.MutationState$1.next(MutationState.java:204) ~[na:na] at org.apache.phoenix.execute.MutationState.commit(MutationState.java:370) ~[na:na] at org.apache.phoenix.jdbc.PhoenixConnection$3.call(PhoenixConnection.java:459) ~[na:na] at org.apache.phoenix.jdbc.PhoenixConnection$3.call(PhoenixConnection.java:456) ~[na:na] at org.apache.phoenix.call.CallRunner.run(CallRunner.java:53) ~[na:na] at org.apache.phoenix.jdbc.PhoenixConnection.commit(PhoenixConnection.java:456) ~[na:na] at org.apache.commons.dbcp.DelegatingConnection.commit(DelegatingConnection.java:334) ~[na:na] at org.apache.commons.dbcp.PoolingDataSource$PoolGuardConnectionWrapper.commit(PoolingDataSource.java:211) ~[na:na] at org.apache.nifi.processors.standard.PutSQL.onTrigger(PutSQL.java:371) ~[na:na] at org.apache.nifi.processor.AbstractProcessor.onTrigger(AbstractProcessor.java:27) ~[nifi-api-1.0.0.2.0.0.0-579.jar:1.0.0.2.0.0.0-579] at org.apache.nifi.controller.StandardProcessorNode.onTrigger(StandardProcessorNode.java:1064) ~[nifi-framework-core-1.0.0.2.0.0.0-579.jar:1.0.0.2.0.0.0-579] at org.apache.nifi.controller.tasks.ContinuallyRunProcessorTask.call(ContinuallyRunProcessorTask.java:136) [nifi-framework-core-1.0.0.2.0.0.0-579.jar:1.0.0.2.0.0.0-579] at org.apache.nifi.controller.tasks.ContinuallyRunProcessorTask.call(ContinuallyRunProcessorTask.java:47) [nifi-framework-core-1.0.0.2.0.0.0-579.jar:1.0.0.2.0.0.0-579] at org.apache.nifi.controller.scheduling.TimerDrivenSchedulingAgent$1.run(TimerDrivenSchedulingAgent.java:132) [nifi-framework-core-1.0.0.2.0.0.0-579.jar:1.0.0.2.0.0.0-579] at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511) [na:1.8.0_91] at java.util.concurrent.FutureTask.runAndReset(FutureTask.java:308) [na:1.8.0_91] at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.access$301(ScheduledThreadPoolExecutor.java:180) [na:1.8.0_91] at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.run(ScheduledThreadPoolExecutor.java:294) [na:1.8.0_91] at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142) [na:1.8.0_91] at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617) [na:1.8.0_91] at java.lang.Thread.run(Thread.java:745) [na:1.8.0_91] FYI - we are using Nifi1.0 and we dont have each rowlength more than 500 bytes . firsttime when we got the error , we just cleaned the queue and restarted . its working fine later . once again we got th error . restarting i snot the good solution , and we are loosing the data if we do that . PFA for more information .

srinivaspadala_ · ‎10-25-2016

nifi - how to configure a logback.xml in nifi to capture seperate log files for each nifi processor in terms of debug and error mode ?? Thanks .

srinivaspadala_ · ‎10-25-2016

How to debug each nifi processor interms of how much RAM, network , how many flowfiles ..etc . Or is it possible to write seperate log files for each nifi processor ? Please let us know the process . thanks

srinivaspadala_ · ‎10-25-2016

Nifi -- Without writing to disk , is it possible to send flowfile from one peocessor to another ? Ex: i have 3 processors in order- splitjson , evaluatejsonpath , updateattribute processors . I would like to process only these 3 processors in-memory (from the output of splitjson to update attribute o/p). if it is possible only selected processors in-memory . let us know the process ??

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Date Registered	‎09-28-2016 10:04 PM
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Nifi ExecuteStreamCommand Process error with Illeg...

if one task fails due to memory overhead exception...

Spark Streaming inconsistency in reading updated f...

pyspark exception error handling ?

NameNode High Availability Health Ambari alert

/tmp/hbase-tablename loaded with data , what might...

Re: Is it possible to apply compression on phoeni...

Re: Is it possible to apply compression on phoeni...

Is it possible to apply compression on phoenix se...

Error : ShortCircuitCache: could not load - acce...

Re: Hive view issue

Re: Hive view issue

Re: Hive view issue

Hive view issue

phoenix JDBC connection Strings - Zookeeper connec...

Re: default value if an attribute of a flowfile is...

default value if an attribute of a flowfile is nul...

Nifi alert or Email notification when no flow for ...

HBase Archive ?

Nifi JoltTransformationJson for Operation : modif...

Re: Nifi JoltTransformJSON to remove duplicate Jso...

Nifi JoltTransformJSON to remove duplicate Json re...

Re: Hbase MAX_ROW_LENGTH value belongs to ?

Hbase MAX_ROW_LENGTH value belongs to ?

Re: Nifi - PutSQL Row length exception for Phoenix...

Re: Nifi - PutSQL Row length exception for Phoenix...

Re: Reading OpenData JSON and Storing into Phoenix...

Nifi - How to capture a seperate log file for each...

How to debug each nifi processor ?

Nifi - Is it possible to send flowfile from one ni...