"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
