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ZmVuZyBTaGkgyrfJ2bfmDQoNCg== --_000_BLUPR01MB131369FCDE2FA1BB941670D5C2080BLUPR01MB1313prod_ Content-Type: text/html; charset="gb2312" Content-Transfer-Encoding: quoted-printable
Hi ShaoFeng:
         I will try all the methods you mentioned.= thanks for your suggestions,
        
         Best wishes,
         MingBao Zhang,
=B7=A2=BC=FE=C8=CB: ShaoFen= g Shi <shaofengshi@apache.org>
=B7=A2=CB=CD=CA=B1=BC=E4: 2018=C4=EA8=D4=C229=C8=D5 20:26
=CA=D5=BC=FE=C8=CB: user
=D6=F7=CC=E2: Re: =B4=F0=B8=B4: Coprocessor passed deadline! Maybe s= erver is overloaded issue
 
Hi mingbao,

Your query is not a regular OLAP query. The "URL" cardi= nality is 20 million, and there is no other filtering or limit condition ex= ception the date, so its result set is still very big. Besides, you use the= bitmap for the distinct "deviceid", the bitmap is memory-consuming which takes much memory than other measures. Tota= lly it would take a lot of memory. That is a big burden to IO and HBase reg= ion server.

Here are some suggestions:

1) if you only care about certain URLs which has many devices, you can= consider to use the Top N measure;
2) the "deviceid" is used in count distinct, you can remove = it from dimension so the cube can be smaller
3) try to normalize the URL to shorter length;
3) add more dimension and filter condition to the cube/query, so the r= esultset won't be that big.
 

2018-08-30 10:10 GMT+08:00 =D5=C5 =C3=F7= =B1=A6 <zhangmingbao2016@outlook.com>:
Hi ShaoFeng:
       Thanks for your reply ! here are some fetures of= data and cube=A1=A3



My sql is:

select distinct url, count(d= istinct devid) as num_report from url_table where datetime =3D'2018-08-16' group by urlorder by num_report desc=


my data feature is like this:

columns count count distinct
        data-lenth  type
datetime 100 million= 300 10 string
devid 100 million=
1000 10 string
url 100 million=
20 million 0 - 500 string

And this is my Cube configuration:








=B7=A2= =BC=FE=C8=CB: ShaoFeng Shi <shaofengshi@apache.org>
=B7=A2=CB=CD=CA=B1=BC=E4: 2018=C4=EA8=D4=C229=C8=D5 18:47
=CA=D5=BC=FE=C8=CB: user
=D6=F7=CC=E2: Re: Coprocessor passed deadline! Maybe server is overl= oaded issue
 
Hi Mingbao,

The timeout is 300 seconds, which is not configurable now. It can be e= xternalized as a configuration if needed.

The purpose of timeout is to prevent from too long waiting and resourc= e occupation. As Kylin's query should be returned in the second level, this= threshold is long enough. 

You need to investigate for the root cause. For example, whether the H= Base cluster is in a healthy state, what's the SQL query and whether it cau= ses a bunch of scan and post-aggregation in HBase, etc. 

If you can share more information about the query and the Cube design,= that would help in the investigation.

2018-08-29 19:26 GMT= 3;08:00 =D5=C5 =C3=F7=B1=A6 <zhangmingbao2016@outlook.com>:
Hello,
        
       I built a cube with over 10 mill=
ion source records successfully, and I could=20
use the cube to do some SQL query. However, when I want to do fuzzy query, =
I=20
have to face such errors:

#################################################################= #################################################
org.apache.hadoop.hbase.DoNotRetryIOExc= eption: org.apache.hadoop.hbase.DoNotRetryIOException: Coprocessor passed deadline! Maybe server is overloaded at org.apache.kyli= n.storage.hbase.cube.v2.coprocessor.endpoint.CubeVisitService.che= ckDeadline(CubeVisitService.java:225) at org.apache.kylin.storage.hbas= e.cube.v2.coprocessor.endpoint.CubeVisitService.visitCube(Cu= beVisitService.java:259) at org.apache.kylin.storage.hbase.cube.v2.coprocessor.endpoint.g= enerated.CubeVisitProtos$CubeVisitService.callMethod(CubeVisitPro= tos.java:5555) at org.apache.hadoop.hbase.regionserver.HRegion.execSer= vice(HRegion.java:7873) at org.apache.hadoop.hbase.regionserver.RSRpcServices.execServiceOn= Region(RSRpcServices.java:2008) at org.apache.hadoop.hbase.region= server.RSRpcServices.execService(RSRpcServices.java:1990) at org.apach= e.hadoop.hbase.protobuf.generated.ClientProtos$ClientService$2.ca= llBlockingMethod(ClientProtos.java:33652) at org.apache.hadoop.hbase.ipc.RpcServer.call(RpcServer.java:218= 8) at org.apache.hadoop.hbase.ipc.CallRunner.run(CallRunner.java:11= 2) at org.apache.hadoop.hbase.ipc.RpcExecutor.consumerLoop(RpcExecutor.java:133) at org.apache.hadoop.hbase.ipc.RpcExecutor$1.run(RpcEx= ecutor.java:108) at java.lang.Thread.run(Thread.java:748) while executing SQL: "select distinct dns, count(distinct devid) as n= um_report from dns_table where datetime =3D'2018-08-16' group by dns order = by num_report desc LIMIT 50000"
  #########################################################= #########################################################<= /div>
In kylin source code, this error is throwed by this method .

##############################################################
  private void checkDeadline(long= deadline) throws DoNotRetryIOException {
        if (S= ystem.currentTimeMillis() > deadline) {
         = ;   logger.info("Deadline has passed, abort now!");
         = ;   throw new DoNotRetryIOException("Coprocessor passed dead= line! Maybe server is overloaded");
        }
    }
#############################################################

I want to set the deadline-value longer ,but i= don't know how to change it and what negative effects it will brings=A1=A3

Looking forward to=
 your reply and help.

Best wishes,
Mingbao Zhang



--
Best regards,

Shaofeng Shi =CA=B7=C9=D9=B7=E6




--
Best regards,

Shaofeng Shi =CA=B7=C9=D9=B7=E6

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