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From xl l <yours...@gmail.com>
Subject Re: kylin sql query with Weird error
Date Fri, 17 Feb 2017 04:40:51 GMT
hi,Billy Liu
  thanks.  I did the same sql with sample cube, and the query result is
also error .

sql :
select
META_CATEG_NAME,
sum(price) as total_selled,
count(distinct seller_id) as sellers
from kylin_sales
inner join KYLIN_CATEGORY_GROUPINGS
on KYLIN_CATEGORY_GROUPINGS.LEAF_CATEG_ID=KYLIN_SALES.LEAF_CATEG_ID
and KYLIN_SALES.LSTG_SITE_ID = KYLIN_CATEGORY_GROUPINGS.SITE_ID
where part_dt>='2012-01-01'
and part_dt<='2013-01-01'
and KYLIN_CATEGORY_GROUPINGS.META_CATEG_NAME in ('Toys & Hobbies','Cameras
& Photo')
group by part_dt,KYLIN_CATEGORY_GROUPINGS.META_CATEG_NAME


detail description see :
http://note.youdao.com/noteshare?id=df34c64dcf3cf801a9c085be0c3f5f21&sub=7BB3043221BA44E4BAF5760339280480




2017-02-16 23:27 GMT+08:00 Billy Liu <billyliu@apache.org>:

> Could you reproduce this issue on the sample cube? That would help the dev
> team to identify the root cause quickly.
>
> 2017-02-16 20:30 GMT+08:00 xl l <yourslxl@gmail.com>:
>
> > HI, I am sure hbase is ok.
> > 而且只有这个sql抛异常,且能稳定复现。 sql稍微改一下,就正常。
> >
> > 从异常日志看, 首先抛出异常的是
> > Caused by: java.lang.NullPointerException
> > at com.google.common.base.Preconditions.checkNotNull(
> > Preconditions.java:191)
> > at
> > org.apache.kylin.storage.hbase.cube.v2.HBaseReadonlyStore$1$1.next(
> > HBaseReadonlyStore.java:131)
> >
> > 对应于 代码:
> >
> > Pair<byte[], byte[]> hbaseColumn = hbaseColumns.get(i);
> > Cell cell = findCell(oneRow, hbaseColumn.getFirst(),
> > hbaseColumn.getSecond());
> > Preconditions.checkNotNull(cell);
> >
> > cell 啥时候 会为空?
> >
> >
> >
> >
> >
> > 2017-02-16 17:47 GMT+08:00 ShaoFeng Shi <shaofengshi@apache.org>:
> >
> > > "java.net.SocketTimeoutException", did you check HBase's healthy
> status?
> > > Are all regions of the table "KYLIN_F2H6NPOLR7" online?
> > >
> > > 2017-02-16 16:10 GMT+08:00 xl l <yourslxl@gmail.com>:
> > >
> > > > see  :
> > > >
> > > > http://note.youdao.com/noteshare?id=df34c64dcf3cf801a9c085be0c3f5f
> > > 21&sub=
> > > > 7BB3043221BA44E4BAF5760339280480
> > > >
> > > >
> > > > kylin 1.6 问题记录:
> > > > 版本:apache-kylin-1.6.0-hbase1.x-bin
> > > >
> > > >
> > > > select
> > > > cast(SUM(pv) as double) as pv,
> > > > cast( count(distinct user_id) as double) as user_id
> > > > from olap.olap_log_accs_page_di
> > > > inner join DIM.DIM_LOG_USER_LOCATION on
> > > > DIM.DIM_LOG_USER_LOCATION.user_city_code=olap.olap_log_
> > > > accs_page_di.location
> > > >
> > > > inner join DIM.DIM_PUBLIC_DATE_INFO on
> > > > DIM.DIM_PUBLIC_DATE_INFO."DATE"=olap.olap_log_accs_page_di."DATE"
> > > > where
> > > > DIM.DIM_PUBLIC_DATE_INFO."DATE" >=20170117
> > > > and DIM.DIM_PUBLIC_DATE_INFO."DATE" <=20170215
> > > > and DIM.DIM_LOG_USER_LOCATION.user_region_name in ('华东')
> > > > group by
> > > > DIM.DIM_LOG_USER_LOCATION.user_country_name,DIM.DIM_LOG_
> > > > USER_LOCATION.user_province_name,DIM.DIM_LOG_USER_
> > > > LOCATION.user_region_name
> > > >
> > > > order by DIM.DIM_LOG_USER_LOCATION.user_province_name ASC
> > > >
> > > > 上面这个sql执行OK,符合预期。
> > > > 但是 如果 仅仅把 in ('华东') 改成 in ('华东','华南') 则
sql执行就会报错。
> > > >
> > > >
> > > > 错误信息如下所示:
> > > >
> > > >
> > > > 查看 kylin.log日志, 详细的异常信息 :
> > > > http://note.youdao.com/noteshare?id=a1c257599774c4bccb0c6763923359
> > > d5&sub=
> > > > 11C6AA36AC894EDD9006DDAE17B16747
> > > > 2017-02-16 15:32:51,080 WARN [kylin-coproc--pool3-t5578]
> > > > ipc.CoprocessorRpcChannel:58 : Call failed on IOException
> > > > java.net.SocketTimeoutException: callTimeout=60000,
> > callDuration=114625:
> > > > row ' ' on table 'KYLIN_F2H6NPOLR7' at
> > > > region=KYLIN_F2H6NPOLR7,,1487168742102.
> 433e266be82448c5380610e9e77046
> > > 58.,
> > > > hostname=jx-db-hbase03.22lll.com,16020,1480406440673, seqNum=2
> > > > at
> > > > org.apache.hadoop.hbase.client.RpcRetryingCaller.callWithRetries(
> > > > RpcRetryingCaller.java:159)
> > > > at
> > > > org.apache.hadoop.hbase.ipc.RegionCoprocessorRpcChannel.
> > callExecService(
> > > > RegionCoprocessorRpcChannel.java:95)
> > > > at
> > > > org.apache.hadoop.hbase.ipc.CoprocessorRpcChannel.callMethod(
> > > > CoprocessorRpcChannel.java:56)
> > > > at
> > > > org.apache.kylin.storage.hbase.cube.v2.coprocessor.
> endpoint.generated.
> > > > CubeVisitProtos$CubeVisitService$Stub.visitCube(CubeVisitProtos.
> > > java:4178)
> > > >
> > > > Caused by: java.lang.NullPointerException
> > > > at com.google.common.base.Preconditions.checkNotNull(
> > > > Preconditions.java:191)
> > > > at
> > > > org.apache.kylin.storage.hbase.cube.v2.HBaseReadonlyStore$1$1.next(
> > > > HBaseReadonlyStore.java:131)
> > > >
> > > >
> > > >
> > > > 根据kylin.log 异常,我的的判断定位,kylin源码中:HBaseReadonlyStore
> > > >
> > > > 麻烦帮忙排查,顺便咨询一下,这个源码中 cell啥情况下会为空?
> > > >
> > > >
> > > >
> > > >
> > > > 附上该sql其他情况下:
> > > > 如果 把sql 中 in ('华东') 改成 in ('华东','华南') 后 ,同时
select
> sum,count(distinct)
> > > 两个指标
> > > > 只出现一个 指标, 也不会报错。
> > > >
> > > > 补充说明:在kylin 1.5.4.1 版本,该诡异现象
也存在。
> > > >
> > > >
> > > > 附上 cube_desc 详细信息:
> > > >
> > > > { "uuid": "f30d538b-5345-4f77-b8e3-b20ebae8cb8e", "last_modified":
> > > > 1487147245924, "version": "1.6.0", "name":
> > > > "olap_log_accs_page_di_cube_0215", "model_name":
> > > > "olap_log_accs_page_di_cube_0215", "description":
> > > > "olap_log_accs_page_di_cube_0215", "null_string": null,
> "dimensions":
> > [
> > > {
> > > > "name": "YEAR", "table": "DIM.DIM_PUBLIC_DATE_INFO", "column":
> "YEAR",
> > > > "derived": null }, { "name": "QUARTER", "table":
> > > > "DIM.DIM_PUBLIC_DATE_INFO", "column": "QUARTER_CN", "derived": null
> },
> > {
> > > > "name": "MONTH", "table": "DIM.DIM_PUBLIC_DATE_INFO", "column":
> > > "MONTH_CN",
> > > > "derived": null }, { "name": "DATE", "table":
> > "DIM.DIM_PUBLIC_DATE_INFO",
> > > > "column": "DATE", "derived": null }, { "name": "PROVINCE", "table":
> > > > "DIM.DIM_PUBLIC_CITY_INFO", "column": "PROVINCE_NAME", "derived":
> null
> > > }, {
> > > > "name": "CITY", "table": "DIM.DIM_PUBLIC_CITY_INFO", "column":
> > > "CITY_NAME",
> > > > "derived": null }, { "name": "USER_COUNTRY", "table":
> > > > "DIM.DIM_LOG_USER_LOCATION", "column": "USER_COUNTRY_NAME",
> "derived":
> > > null
> > > > }, { "name": "USER_REGION", "table": "DIM.DIM_LOG_USER_LOCATION",
> > > "column":
> > > > "USER_REGION_NAME", "derived": null }, { "name": "USER_PROVINCE",
> > > "table":
> > > > "DIM.DIM_LOG_USER_LOCATION", "column": "USER_PROVINCE_NAME",
> "derived":
> > > > null }, { "name": "USER_CITY", "table": "DIM.DIM_LOG_USER_LOCATION",
> > > > "column": "USER_CITY_NAME", "derived": null }, { "name": "USER_TYPE",
> > > > "table": "DIM.DIM_LOG_USER_TYPE", "column": "TYPE_NAME", "derived":
> > null
> > > },
> > > > { "name": "IS_LOGIN", "table": "DIM.DIM_LOG_IS_LOGIN", "column":
> > > > "LOGIN_NAME", "derived": null }, { "name": "IS_REGISTER", "table":
> > > > "DIM.DIM_LOG_IS_REGISTER", "column": "REGISTER_NAME", "derived": null
> > },
> > > {
> > > > "name": "BROWSER", "table": "DIM.DIM_LOG_BROWSER", "column":
> > > > "BROWSER_NAME", "derived": null }, { "name": "APP_VERSION", "table":
> > > > "DIM.DIM_LOG_APP_VERSION", "column": "VERSION_NAME", "derived": null
> }
> > ],
> > > > "measures": [ { "name": "_COUNT_", "function": { "expression":
> "COUNT",
> > > > "parameter": { "type": "constant", "value": "1", "next_parameter":
> null
> > > },
> > > > "returntype": "bigint" }, "dependent_measure_ref": null }, { "name":
> > > "PV",
> > > > "function": { "expression": "SUM", "parameter": { "type": "column",
> > > > "value": "PV", "next_parameter": null }, "returntype": "bigint" },
> > > > "dependent_measure_ref": null }, { "name": "UV", "function": {
> > > > "expression": "COUNT_DISTINCT", "parameter": { "type": "column",
> > "value":
> > > > "USER_ID", "next_parameter": null }, "returntype": "bitmap" },
> > > > "dependent_measure_ref": null }, { "name": "OUT_SESSION",
> "function": {
> > > > "expression": "SUM", "parameter": { "type": "column", "value":
> > > > "IS_OUT_SESSION", "next_parameter": null }, "returntype": "bigint" },
> > > > "dependent_measure_ref": null } ], "dictionaries": [], "rowkey": {
> > > > "rowkey_columns": [ { "column": "YEAR", "encoding": "dict",
> > "isShardBy":
> > > > false }, { "column": "QUARTER_CN", "encoding": "dict", "isShardBy":
> > false
> > > > }, { "column": "MONTH_CN", "encoding": "dict", "isShardBy": false },
> {
> > > > "column": "DATE", "encoding": "dict", "isShardBy": false }, {
> "column":
> > > > "PROVINCE_NAME", "encoding": "dict", "isShardBy": false }, {
> "column":
> > > > "CITY_NAME", "encoding": "dict", "isShardBy": false }, { "column":
> > > > "USER_COUNTRY_NAME", "encoding": "dict", "isShardBy": false }, {
> > > "column":
> > > > "USER_REGION_NAME", "encoding": "dict", "isShardBy": false }, {
> > "column":
> > > > "USER_PROVINCE_NAME", "encoding": "dict", "isShardBy": false }, {
> > > "column":
> > > > "USER_CITY_NAME", "encoding": "dict", "isShardBy": false }, {
> "column":
> > > > "TYPE_NAME", "encoding": "dict", "isShardBy": false }, { "column":
> > > > "LOGIN_NAME", "encoding": "dict", "isShardBy": false }, { "column":
> > > > "REGISTER_NAME", "encoding": "dict", "isShardBy": false }, {
> "column":
> > > > "BROWSER_NAME", "encoding": "dict", "isShardBy": false }, { "column":
> > > > "VERSION_NAME", "encoding": "dict", "isShardBy": false } ] },
> > > > "hbase_mapping": { "column_family": [ { "name": "F1", "columns": [ {
> > > > "qualifier": "M", "measure_refs": [ "_COUNT_", "PV", "OUT_SESSION" ]
> }
> > ]
> > > },
> > > > { "name": "F2", "columns": [ { "qualifier": "M", "measure_refs": [
> "UV"
> > > ] }
> > > > ] } ] }, "aggregation_groups": [ { "includes": [ "YEAR",
> "QUARTER_CN",
> > > > "MONTH_CN", "DATE", "PROVINCE_NAME", "CITY_NAME",
> "USER_COUNTRY_NAME",
> > > > "USER_REGION_NAME", "USER_PROVINCE_NAME", "USER_CITY_NAME",
> > "TYPE_NAME",
> > > > "LOGIN_NAME", "REGISTER_NAME", "BROWSER_NAME", "VERSION_NAME" ],
> > > > "select_rule": { "hierarchy_dims": [ [ "YEAR", "QUARTER_CN",
> > "MONTH_CN",
> > > > "DATE" ], [ "PROVINCE_NAME", "CITY_NAME" ], [ "USER_COUNTRY_NAME",
> > > > "USER_REGION_NAME", "USER_PROVINCE_NAME", "USER_CITY_NAME" ] ],
> > > > "mandatory_dims": [], "joint_dims": [] } } ], "signature":
> > > > "odaKh4hY+Mb4uRggEJJanQ==", "notify_list": [], "status_need_notify":
> [
> > > > "ERROR", "DISCARDED", "SUCCEED" ], "partition_date_start":
> > 1485907200000,
> > > > "partition_date_end": 3153600000000, "auto_merge_time_ranges": [
> > > 604800000,
> > > > 2419200000 ], "retention_range": 0, "engine_type": 2, "storage_type":
> > 2,
> > > > "override_kylin_properties": { "kylin.cube.aggrgroup.max.
> combination":
> > > > "16384" } }
> > > >
> > > >
> > > >
> > > >
> > > >
> > > >
> > > > --
> > > > 祝身体健康,万事如意 ^_^
> > > >
> > >
> > >
> > >
> > > --
> > > Best regards,
> > >
> > > Shaofeng Shi 史少锋
> > >
> >
> >
> >
> > --
> > 祝身体健康,万事如意 ^_^
> >
>



-- 
祝身体健康,万事如意 ^_^

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