Oh looks like it's about last modified time in Json I should put it 0?
I am out of office will give a try tmrw. If something else please let me
know.
On Wed, 4 Mar 2015 at 7:40 pm, Santoshakhilesh <[email protected]>
wrote:

> Hi Shaofeng ,
>     I have changed the property file to cerate a new htable and everything
> was fresh.
>     Unless there is some restriction for join for hierarchical dimension,
> I think there is a bug in wizard while creating hierarchical dimensions ,
> it just deletes the join condition on the table on which hierarch dimension
> is added.
>
>     I  have tried to use the JSON editor , when I open it gives a sample
> json and not the current json of cube. I tried deleting and pasting the
> JSON which I get from the cube json view but while saving I get the
> following error.
>
>
> Error Message
> Overwriting conflict /cube_desc/HierarchyCube.json, expect old TS
> 1425496007007, but it is 0
>
> I had tried deleting the existing cube and then creating using json editor
> but same error. I also tried removing the UUID part of the json as I
> thought this you might be generating internally but still the error.
>
> So what options I am left with , install 0.7 and give a try ?
>
> I had modified the JSON as below to add the join condition. I also have
> another query why the datatype in json is always null ?
>
> {
>   "uuid": "3721b133-f11a-4ffa-98af-8d8688db3706",
>   "name": "HierarchyCube",
>   "description": "",
>   "dimensions": [
>     {
>       "id": 1,
>       "name": "AREA",
>       "join": {
>         "type": "left",
>         "primary_key": [
>           "STOREID"
>         ],
>         "foreign_key": [
>           "STOREID"
>         ]
>       },
>       "hierarchy": [
>         {
>           "level": "1",
>           "column": "STATE"
>         },
>         {
>           "level": "2",
>           "column": "CITY"
>         }
>       ],
>       "table": "STORE_DIM",
>       "column": "{FK}",
>       "datatype": null,
>       "derived": null
>     },
>     {
>       "id": 2,
>       "name": "SALES_FACT.STOREID",
>       "join": null,
>       "hierarchy": null,
>       "table": "SALES_FACT",
>       "column": "STOREID",
>       "datatype": null,
>       "derived": null
>     },
>     {
>       "id": 3,
>       "name": "SALES_FACT.ITEMID",
>       "join": null,
>       "hierarchy": null,
>       "table": "SALES_FACT",
>       "column": "ITEMID",
>       "datatype": null,
>       "derived": null
>     },
>     {
>       "id": 4,
>       "name": "SALES_FACT.CUSTOMERID",
>       "join": null,
>       "hierarchy": null,
>       "table": "SALES_FACT",
>       "column": "CUSTOMERID",
>       "datatype": null,
>       "derived": null
>     },
>     {
>       "id": 5,
>       "name": "CUSTOMER_DIM_DERIVED",
>       "join": {
>         "type": "left",
>         "primary_key": [
>           "CUSTOMERID"
>         ],
>         "foreign_key": [
>           "CUSTOMERID"
>         ]
>       },
>       "hierarchy": null,
>       "table": "CUSTOMER_DIM",
>       "column": "{FK}",
>       "datatype": null,
>       "derived": [
>         "NAME"
>       ]
>     },
>     {
>       "id": 6,
>       "name": "ITEM_DIM_DERIVED",
>       "join": {
>         "type": "left",
>         "primary_key": [
>           "ITEMID"
>         ],
>         "foreign_key": [
>           "ITEMID"
>         ]
>       },
>       "hierarchy": null,
>       "table": "ITEM_DIM",
>       "column": "{FK}",
>       "datatype": null,
>       "derived": [
>         "BRAND",
>         "COLOR"
>       ]
>     }
>   ],
>   "measures": [
>     {
>       "id": 1,
>       "name": "_COUNT_",
>       "function": {
>         "expression": "COUNT",
>         "parameter": {
>           "type": "constant",
>           "value": "1"
>         },
>         "returntype": "bigint"
>       },
>       "dependent_measure_ref": null
>     },
>     {
>       "id": 2,
>       "name": "TOTALAMOUNT",
>       "function": {
>         "expression": "SUM",
>         "parameter": {
>           "type": "column",
>           "value": "AMOUNT"
>         },
>         "returntype": "double"
>       },
>       "dependent_measure_ref": null
>     },
>     {
>       "id": 3,
>       "name": "TOTALQTY",
>       "function": {
>         "expression": "SUM",
>         "parameter": {
>           "type": "column",
>           "value": "QTY"
>         },
>         "returntype": "int"
>       },
>       "dependent_measure_ref": null
>     }
>   ],
>   "rowkey": {
>     "rowkey_columns": [
>       {
>         "column": "STATE",
>         "length": 0,
>         "dictionary": "true",
>         "mandatory": false
>       },
>       {
>         "column": "CITY",
>         "length": 0,
>         "dictionary": "true",
>         "mandatory": false
>       },
>       {
>         "column": "STOREID",
>         "length": 0,
>         "dictionary": "true",
>         "mandatory": false
>       },
>       {
>         "column": "ITEMID",
>         "length": 0,
>         "dictionary": "true",
>         "mandatory": false
>       },
>       {
>         "column": "CUSTOMERID",
>         "length": 0,
>         "dictionary": "true",
>         "mandatory": false
>       }
>     ],
>     "aggregation_groups": [
>       [
>         "STOREID",
>         "ITEMID",
>         "CUSTOMERID"
>       ],
>       [
>         "STATE",
>         "CITY"
>       ]
>     ]
>   },
>   "signature": "OiAo60gPr38KVois4jHGKw==",
>   "capacity": "MEDIUM",
>   "last_modified": 1425496007007,
>   "fact_table": "SALES_FACT",
>   "null_string": null,
>   "filter_condition": null,
>   "cube_partition_desc": {
>     "partition_date_column": null,
>     "partition_date_start": 0,
>     "cube_partition_type": "APPEND"
>   },
>   "hbase_mapping": {
>     "column_family": [
>       {
>         "name": "F1",
>         "columns": [
>           {
>             "qualifier": "M",
>             "measure_refs": [
>               "_COUNT_",
>               "TOTALAMOUNT",
>               "TOTALQTY"
>             ]
>           }
>         ]
>       }
>     ]
>   },
>   "notify_list": []
> }
>
>
> Regards,
> Santosh Akhilesh
> Bangalore R&D
> HUAWEI TECHNOLOGIES CO.,LTD.
>
> www.huawei.com
> ------------------------------------------------------------
> -------------------------------------------------------------------------
> This e-mail and its attachments contain confidential information from
> HUAWEI, which
> is intended only for the person or entity whose address is listed above.
> Any use of the
> information contained herein in any way (including, but not limited to,
> total or partial
> disclosure, reproduction, or dissemination) by persons other than the
> intended
> recipient(s) is prohibited. If you receive this e-mail in error, please
> notify the sender by
> phone or email immediately and delete it!
>
> ________________________________________
> From: Shi, Shaofeng [[email protected]]
> Sent: Wednesday, March 04, 2015 6:40 PM
> To: [email protected]
> Cc: Kulbhushan Rana
> Subject: Re: Cube Build failed at Step 3 , When I choose Hierarchial
> dimension
>
> Hi Santosh, 0.6.5 should be stable, but there is an obvious error in this
> cube JSON: the dimension 1 is from lookup table “STORE_DIM”, in this case
> the “join” must be specified, while now it is null; This would cause Kylin
> fail to join fact table with the lookup table. Please try to edit the cube
> to add the join condition, let it looks like other dimensions; If the
> wizard couldn’t work, try to manually add join and then use the “JSON
> Editor” function to update the cube;
>
> From now on we would suggest user to use 0.7.1; The binary package will be
> much easier to install; and there are many enhancements and bug fixes in
> 0.7.1;
>
> To get a fresh metadata store, just use a different htable, this is
> configurable in kylin.properties:
>
> kylin.metadata.url=kylin_metadata_qa@hbase
>
> The default name is kylin_metadata_qa, if change a name, Kylin will get a
> fresh metadata store;
>
>
> On 3/4/15, 8:52 PM, "Santoshakhilesh" <[email protected]> wrote:
>
> >Hi Shaofeng ,
> >
> >      I had deleted the cube and tried to build again for hierarchy, now
> >it fails in first step itself.
> >      I ahve three dimension tables
> >      a) customer_dim b_ store_dim c) item_dim
> >      I choose left join with fact table while cerating dimensions , but
> >after cube creation left join on sotre_dim is automatically deleted by
> >kylin
> >      store dimension has fields stoireid , city , state , I had tried to
> >add the hierarchy dimension (1) State and (2) City.
> >
> >      I have started facing many issues , even with normal dimensions the
> >kylin query result not matching with hive query.
> >      I had also tried to delete all the metadata in hive and hbase (i
> >had deleted all the entries) and started from beginning by creating a new
> >project but now problem is persisting.
> >
> >      Do you suggest me to install binary distribution is it stable
> >enough now ? If yes how do I make sure all the previous data is deleted.
> >deleting hive and hbase data is enough or I should delete something else
> >too ?
> >
> >      Logs are as below. Sorry for long mail.
> >
> >
> >
> >
> >
> >JSON:
> >{
> >  "uuid": "5a5adb86-202a-4e2b-9be7-de421d3bdf2f",
> >  "name": "Hierarchy",
> >  "description": "",
> >  "dimensions": [
> >    {
> >      "id": 1,
> >      "name": "AREA",
> >      "join": null,
> >      "hierarchy": [
> >        {
> >          "level": "1",
> >          "column": "STATE"
> >        },
> >        {
> >          "level": "2",
> >          "column": "CITY"
> >        }
> >      ],
> >      "table": "STORE_DIM",
> >      "column": null,
> >      "datatype": null,
> >      "derived": null
> >    },
> >    {
> >      "id": 2,
> >      "name": "CUSTOMER_DIM_DERIVED",
> >      "join": {
> >        "type": "left",
> >        "primary_key": [
> >          "CUSTOMERID"
> >        ],
> >        "foreign_key": [
> >          "CUSTOMERID"
> >        ]
> >      },
> >      "hierarchy": null,
> >      "table": "CUSTOMER_DIM",
> >      "column": "{FK}",
> >      "datatype": null,
> >      "derived": [
> >        "NAME"
> >      ]
> >    },
> >    {
> >      "id": 3,
> >      "name": "ITEM_DIM_DERIVED",
> >      "join": {
> >        "type": "left",
> >        "primary_key": [
> >          "ITEMID"
> >        ],
> >        "foreign_key": [
> >          "ITEMID"
> >        ]
> >      },
> >      "hierarchy": null,
> >      "table": "ITEM_DIM",
> >      "column": "{FK}",
> >      "datatype": null,
> >      "derived": [
> >        "TYPE",
> >        "BRAND",
> >        "COLOR"
> >      ]
> >    }
> >  ],
> >  "measures": [
> >    {
> >      "id": 1,
> >      "name": "_COUNT_",
> >      "function": {
> >        "expression": "COUNT",
> >        "parameter": {
> >          "type": "constant",
> >          "value": "1"
> >        },
> >        "returntype": "bigint"
> >      },
> >      "dependent_measure_ref": null
> >    },
> >    {
> >      "id": 2,
> >      "name": "TOTALAMOUNT",
> >      "function": {
> >        "expression": "SUM",
> >        "parameter": {
> >          "type": "column",
> >          "value": "AMOUNT"
> >        },
> >        "returntype": "double"
> >      },
> >      "dependent_measure_ref": null
> >    },
> >    {
> >      "id": 3,
> >      "name": "TOTALQTY",
> >      "function": {
> >        "expression": "SUM",
> >        "parameter": {
> >          "type": "column",
> >          "value": "QTY"
> >        },
> >        "returntype": "int"
> >      },
> >      "dependent_measure_ref": null
> >    }
> >  ],
> >  "rowkey": {
> >    "rowkey_columns": [
> >      {
> >        "column": "STATE",
> >        "length": 0,
> >        "dictionary": "true",
> >        "mandatory": false
> >      },
> >      {
> >        "column": "CITY",
> >        "length": 0,
> >        "dictionary": "true",
> >        "mandatory": false
> >      },
> >      {
> >        "column": "CUSTOMERID",
> >        "length": 0,
> >        "dictionary": "true",
> >        "mandatory": false
> >      },
> >      {
> >        "column": "ITEMID",
> >        "length": 0,
> >        "dictionary": "true",
> >        "mandatory": false
> >      }
> >    ],
> >    "aggregation_groups": [
> >      [
> >        "CUSTOMERID",
> >        "ITEMID"
> >      ],
> >      [
> >        "STATE",
> >        "CITY"
> >      ]
> >    ]
> >  },
> >  "signature": "X6NQ6wZ9ZgvhBLqw0YAKhQ==",
> >  "capacity": "MEDIUM",
> >  "last_modified": 1425492494239,
> >  "fact_table": "SALES_FACT",
> >  "null_string": null,
> >  "filter_condition": null,
> >  "cube_partition_desc": {
> >    "partition_date_column": null,
> >    "partition_date_start": 0,
> >    "cube_partition_type": "APPEND"
> >  },
> >  "hbase_mapping": {
> >    "column_family": [
> >      {
> >        "name": "F1",
> >        "columns": [
> >          {
> >            "qualifier": "M",
> >            "measure_refs": [
> >              "_COUNT_",
> >              "TOTALAMOUNT",
> >              "TOTALQTY"
> >            ]
> >          }
> >        ]
> >      }
> >    ]
> >  },
> >  "notify_list": []
> >}
> >
> >Logs:
> >
> >15/03/05 02:09:18 WARN conf.HiveConf: DEPRECATED: Configuration property
> >hive.metastore.local no longer has any effect. Make sure to provide a
> >valid value for hive.metastore.uris if you are connecting to a remote
> >metastore.
> >15/03/05 02:09:18 WARN conf.HiveConf: HiveConf of name
> >hive.metastore.local does not exist
> >Logging initialized using configuration in
> >jar:file:/opt/hive/apache-hive-0.14.0-bin/lib/hive-
> common-0.14.0.jar!/hive
> >-log4j.properties
> >SLF4J: Class path contains multiple SLF4J bindings.
> >SLF4J: Found binding in
> >[jar:file:/opt/hadoop/hadoop-2.6.0/share/hadoop/common/lib/
> slf4j-log4j12-1
> >.7.5.jar!/org/slf4j/impl/StaticLoggerBinder.class]
> >SLF4J: Found binding in
> >[jar:file:/opt/hive/apache-hive-0.14.0-bin/lib/hive-jdbc-
> 0.14.0-standalone
> >.jar!/org/slf4j/impl/StaticLoggerBinder.class]
> >SLF4J: See http://www.slf4j.org/codes.html#multiple_bindings for an
> >explanation.
> >SLF4J: Actual binding is of type [org.slf4j.impl.Log4jLoggerFactory]
> >OK
> >Time taken: 0.578 seconds
> >OK
> >Time taken: 0.444 seconds
> >FAILED: SemanticException [Error 10004]: Line 4:0 Invalid table alias or
> >column reference 'STORE_DIM': (possible column names are:
> >sales_fact.storeid, sales_fact.itemid, sales_fact.customerid,
> >sales_fact.qty, sales_fact.amount, customer_dim.customerid,
> >customer_dim.name, item_dim.itemid, item_dim.type, item_dim.brand,
> >item_dim.color)
> >
> >
> >
> >Regards,
> >Santosh Akhilesh
> >Bangalore R&D
> >HUAWEI TECHNOLOGIES CO.,LTD.
> >
> >www.huawei.com
> >-----------------------------------------------------------
> ---------------
> >-----------------------------------------------------------
> >This e-mail and its attachments contain confidential information from
> >HUAWEI, which
> >is intended only for the person or entity whose address is listed above.
> >Any use of the
> >information contained herein in any way (including, but not limited to,
> >total or partial
> >disclosure, reproduction, or dissemination) by persons other than the
> >intended
> >recipient(s) is prohibited. If you receive this e-mail in error, please
> >notify the sender by
> >phone or email immediately and delete it!
> >
> >________________________________________
> >From: Shi, Shaofeng [[email protected]]
> >Sent: Wednesday, March 04, 2015 5:36 PM
> >To: [email protected]
> >Subject: Re: Cube Build failed at Step 3 , When I choose Hierarchial
> >dimension
> >
> >It seems that you have a lookup table which doesn¹t define the join
> >relationship; Could you paste the full json of this cube definition?
> >
> >On 3/4/15, 3:28 PM, "Santoshakhilesh" <[email protected]>
> wrote:
> >
> >>Dear All ,
> >>
> >>         I am using 0.6.5 branch of Kylin. I was able to build a cube
> >>defining normal and derived measures and play with it.
> >>
> >>         I have defined a new cube to test hierarchial dimensions and
> >>cube build is failed at Step 3 with following log in kylin.log
> >>
> >>         I have run the query which kylin provides on webui of cube on
> >>hive and it works.
> >>
> >>         Please let me know whats going wrong ? Any more info required
> >>from me please let me know.
> >>
> >>
> >>
> >>java.lang.NullPointerException
> >> at com.kylinolap.cube.CubeManager.getLookupTable(CubeManager.java:424)
> >>
> >>
> >>
> >>[QuartzScheduler_Worker-10]:[2015-03-04
> >>19:00:49,025][INFO][com.kylinolap.dict.lookup.
> SnapshotManager.load(Snapsh
> >>o
> >>tManager.java:156)] - Loading snapshotTable from
> >>/table_snapshot/stores.txt/780e5ebc-95d5-4d87-bd8d-
> 7e561f19283a.snapshot,
> >>with loadData: false
> >>[QuartzScheduler_Worker-10]:[2015-03-04
> >>19:00:49,031][INFO][com.kylinolap.dict.lookup.
> SnapshotManager.buildSnapsh
> >>o
> >>t(SnapshotManager.java:90)] - Identical input FileSignature
> >>[path=file:/hive/warehouse/store_dim/stores.txt, size=60,
> >>lastModifiedTime=1425039202000], reuse existing snapshot at
> >>/table_snapshot/stores.txt/780e5ebc-95d5-4d87-bd8d-7e561f19283a.snapshot
> >>[QuartzScheduler_Worker-10]:[2015-03-04
> >>19:00:49,031][DEBUG][com.kylinolap.common.persistence.
> ResourceStore.putRe
> >>s
> >>ource(ResourceStore.java:166)] - Saving resource /cube/NDim.json (Store
> >>kylin_metadata_qa@hbase<mailto:kylin_metadata_qa@hbase>)
> >>[QuartzScheduler_Worker-10]:[2015-03-04
> >>19:00:49,035][DEBUG][com.kylinolap.metadata.
> MetadataManager.reloadAllSour
> >>c
> >>eTable(MetadataManager.java:258)] - Reloading SourceTable from folder
> >>kylin_metadata_qa(key='/table')@kylin_metadata_qa@hbase
> >>[QuartzScheduler_Worker-10]:[2015-03-04
> >>19:00:49,074][DEBUG][com.kylinolap.metadata.
> MetadataManager.reloadAllSour
> >>c
> >>eTable(MetadataManager.java:267)] - Loaded 4 SourceTable(s)
> >>[QuartzScheduler_Worker-10]:[2015-03-04
> >>19:00:49,074][DEBUG][com.kylinolap.metadata.
> MetadataManager.reloadAllSour
> >>c
> >>eTableExd(MetadataManager.java:243)] - Reloading SourceTable exd info
> >>from folder kylin_metadata_qa(key='/table_exd')@kylin_metadata_qa@hbase
> >>[QuartzScheduler_Worker-10]:[2015-03-04
> >>19:00:49,104][DEBUG][com.kylinolap.metadata.
> MetadataManager.reloadAllSour
> >>c
> >>eTableExd(MetadataManager.java:253)] - Loaded 4 SourceTable EXD(s)
> >>[QuartzScheduler_Worker-10]:[2015-03-04
> >>19:00:49,104][INFO][com.kylinolap.metadata.
> MetadataManager.reloadAllCubeD
> >>e
> >>sc(MetadataManager.java:308)] - Reloading Cube Metadata from folder
> >>kylin_metadata_qa(key='/cube_desc')@kylin_metadata_qa@hbase
> >>[QuartzScheduler_Worker-10]:[2015-03-04
> >>19:00:49,143][DEBUG][com.kylinolap.metadata.
> MetadataManager.reloadAllCube
> >>D
> >>esc(MetadataManager.java:333)] - Loaded 4 Cube(s)
> >>[QuartzScheduler_Worker-10]:[2015-03-04
> >>19:00:49,143][INFO][com.kylinolap.metadata.
> MetadataManager.reloadAllInver
> >>t
> >>edIndexDesc(MetadataManager.java:356)] - Reloading Inverted Index Desc
> >>from folder
> >>kylin_metadata_qa(key='/invertedindex_desc')@kylin_metadata_qa@hbase
> >>[QuartzScheduler_Worker-10]:[2015-03-04
> >>19:00:49,147][DEBUG][com.kylinolap.metadata.
> MetadataManager.reloadAllInve
> >>r
> >>tedIndexDesc(MetadataManager.java:381)] - Loaded 0 Inverted Index
> Desc(s)
> >>[QuartzScheduler_Worker-10]:[2015-03-04
> >>19:00:49,158][INFO][com.kylinolap.cube.cli.
> DictionaryGeneratorCLI.process
> >>S
> >>egment(DictionaryGeneratorCLI.java:59)] - Checking snapshot of STORE_DIM
> >>[QuartzScheduler_Worker-10]:[2015-03-04
> >>19:00:49,159][ERROR][com.kylinolap.job.hadoop.dict.
> CreateDictionaryJob.ru
> >>n
> >>(CreateDictionaryJob.java:55)] -
> >>java.lang.NullPointerException
> >> at com.kylinolap.cube.CubeManager.getLookupTable(CubeManager.java:424)
> >> at
> >>com.kylinolap.cube.cli.DictionaryGeneratorCLI.
> processSegment(DictionaryGe
> >>n
> >>eratorCLI.java:60)
> >> at
> >>com.kylinolap.cube.cli.DictionaryGeneratorCLI.
> processSegment(DictionaryGe
> >>n
> >>eratorCLI.java:39)
> >> at
> >>com.kylinolap.job.hadoop.dict.CreateDictionaryJob.run(
> CreateDictionaryJob
> >>.
> >>java:51)
> >> at org.apache.hadoop.util.ToolRunner.run(ToolRunner.java:70)
> >> at org.apache.hadoop.util.ToolRunner.run(ToolRunner.java:84)
> >> at com.kylinolap.job.cmd.JavaHadoopCmd.execute(JavaHadoopCmd.java:54)
> >> at com.kylinolap.job.flow.JobFlowNode.execute(JobFlowNode.java:77)
> >> at org.quartz.core.JobRunShell.run(JobRunShell.java:202)
> >> at
> >>org.quartz.simpl.SimpleThreadPool$WorkerThread.
> run(SimpleThreadPool.java:
> >>5
> >>73)
> >>[QuartzScheduler_Worker-10]:[2015-03-04
> >>19:00:49,159][DEBUG][com.kylinolap.job.cmd.
> JavaHadoopCmdOutput.appendOutp
> >>u
> >>t(JavaHadoopCmdOutput.java:96)] - Command execute return code 2
> >>[QuartzScheduler_Worker-10]:[2015-03-04
> >>19:00:49,166][DEBUG][com.kylinolap.common.persistence.
> ResourceStore.putRe
> >>s
> >>ource(ResourceStore.java:166)] - Saving resource
> >>/job_output/70f7dfe5-f414-4643-a014-3ba5c5d3ab22.2 (Store
> >>kylin_metadata_qa@hbase<mailto:kylin_metadata_qa@hbase>)
> >>[QuartzScheduler_Worker-10]:[2015-03-04
> >>19:00:49,174][DEBUG][com.kylinolap.common.persistence.
> ResourceStore.putRe
> >>s
> >>ource(ResourceStore.java:166)] - Saving resource
> >>/job/70f7dfe5-f414-4643-a014-3ba5c5d3ab22 (Store
> >>kylin_metadata_qa@hbase<mailto:kylin_metadata_qa@hbase>)
> >>[QuartzScheduler_Worker-10]:[2015-03-04
> >>19:00:49,177][INFO][com.kylinolap.job.flow.
> JobFlowNode.execute(JobFlowNod
> >>e
> >>.java:87)] - Job status for
> >>cube_job_group.NDim.70f7dfe5-f414-4643-a014-3ba5c5d3ab22.2 has been
> >>updated.
> >>[QuartzScheduler_Worker-10]:[2015-03-04
> >>19:00:49,177][INFO][com.kylinolap.job.flow.
> JobFlowNode.execute(JobFlowNod
> >>e
> >>.java:88)] - cmd: -cubename NDim -segmentname FULL_BUILD -input
> >>/tmp/kylin-70f7dfe5-f414-4643-a014-3ba5c5d3ab22/NDim/
> fact_distinct_column
> >>s
> >>[QuartzScheduler_Worker-10]:[2015-03-04
> >>19:00:49,177][INFO][com.kylinolap.job.flow.
> JobFlowNode.execute(JobFlowNod
> >>e
> >>.java:89)] - output:Start to execute command:
> >> -cubename NDim -segmentname FULL_BUILD -input
> >>/tmp/kylin-70f7dfe5-f414-4643-a014-3ba5c5d3ab22/NDim/
> fact_distinct_column
> >>s
> >>Command execute return code 2
> >>
> >>
> >>
> >>Regards,
> >>Santosh Akhilesh
> >>Bangalore R&D
> >>HUAWEI TECHNOLOGIES CO.,LTD.
> >>
> >>www.huawei.com
> >>----------------------------------------------------------
> ---------------
> >>-
> >>-----------------------------------------------------------
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> >>HUAWEI, which
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> >>Any use of the
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