Thanks. I am heading to office. Will give a try. I have a internal demo
coming today so I want to stick to 0.6.5 this week. Will install 0.7 after
my demo. I actually did try drop down edit option but it opens a wizard I
could not see edit using Json. I will recheck. Appreciate your help.
On Thu, 5 Mar 2015 at 7:25 am, Shi, Shaofeng <[email protected]> wrote:

> There are two entries for the JSON editor: one is at the right upper
> corner of the page, which is to create a new cube with the JSON editor;
> The other one is in the Actions drop down list for cube (in the “admins”
> column, only open for admin role), which is for user to edit an existing
> cube; What I mentioned is the second entry;
>
> If you create a new cube, the “last_modified” value need be 0;
>
> The uuid isn’t in use for now I think; The key for a cube is the name;
> Please ensure each cube has a different name and uuid.
>
> We suggest user to upgrade to 0.7.1 now, so that we are at the same code
> level, that would be helpful for troubleshooting;
>
> On 3/4/15, 10:00 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!/hiv
> >>e
> >>-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-standalon
> >>e
> >>.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(Snaps
> >>>h
> >>>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.buildSnaps
> >>>h
> >>>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.putR
> >>>e
> >>>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.reloadAllSou
> >>>r
> >>>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.reloadAllSou
> >>>r
> >>>c
> >>>eTable(MetadataManager.java:267)] - Loaded 4 SourceTable(s)
> >>>[QuartzScheduler_Worker-10]:[2015-03-04
> >>>19:00:49,074][DEBUG][com.kylinolap.metadata.
> MetadataManager.reloadAllSou
> >>>r
> >>>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.reloadAllSou
> >>>r
> >>>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.reloadAllCube
> >>>D
> >>>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.reloadAllCub
> >>>e
> >>>D
> >>>esc(MetadataManager.java:333)] - Loaded 4 Cube(s)
> >>>[QuartzScheduler_Worker-10]:[2015-03-04
> >>>19:00:49,143][INFO][com.kylinolap.metadata.
> MetadataManager.reloadAllInve
> >>>r
> >>>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.reloadAllInv
> >>>e
> >>>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.proces
> >>>s
> >>>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.r
> >>>u
> >>>n
> >>>(CreateDictionaryJob.java:55)] -
> >>>java.lang.NullPointerException
> >>> at com.kylinolap.cube.CubeManager.getLookupTable(CubeManager.java:424)
> >>> at
> >>>com.kylinolap.cube.cli.DictionaryGeneratorCLI.
> processSegment(DictionaryG
> >>>e
> >>>n
> >>>eratorCLI.java:60)
> >>> at
> >>>com.kylinolap.cube.cli.DictionaryGeneratorCLI.
> processSegment(DictionaryG
> >>>e
> >>>n
> >>>eratorCLI.java:39)
> >>> at
> >>>com.kylinolap.job.hadoop.dict.CreateDictionaryJob.run(
> CreateDictionaryJo
> >>>b
> >>>.
> >>>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.appendOut
> >>>p
> >>>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.putR
> >>>e
> >>>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.putR
> >>>e
> >>>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(JobFlowNo
> >>>d
> >>>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(JobFlowNo
> >>>d
> >>>e
> >>>.java:88)] - cmd: -cubename NDim -segmentname FULL_BUILD -input
> >>>/tmp/kylin-70f7dfe5-f414-4643-a014-3ba5c5d3ab22/NDim/
> fact_distinct_colum
> >>>n
> >>>s
> >>>[QuartzScheduler_Worker-10]:[2015-03-04
> >>>19:00:49,177][INFO][com.kylinolap.job.flow.
> JobFlowNode.execute(JobFlowNo
> >>>d
> >>>e
> >>>.java:89)] - output:Start to execute command:
> >>> -cubename NDim -segmentname FULL_BUILD -input
> >>>/tmp/kylin-70f7dfe5-f414-4643-a014-3ba5c5d3ab22/NDim/
> fact_distinct_colum
> >>>n
> >>>s
> >>>Command execute return code 2
> >>>
> >>>
> >>>
> >>>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!
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