"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 <yours...@gmail.com>:

> see  :
>
> http://note.youdao.com/noteshare?id=df34c64dcf3cf801a9c085be0c3f5f21&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=a1c257599774c4bccb0c6763923359d5&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,,1487168742102.433e266be82448c5380610e9e7704658.,
> 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

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