mine is version 1.5.2 Ted

Thanks

Dr Mich Talebzadeh



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On 25 March 2016 at 22:45, Ted Yu <yuzhih...@gmail.com> wrote:

> Strange: the JIRAs below were marked Fixed in 1.5.0
>
> On Fri, Mar 25, 2016 at 3:43 PM, Mich Talebzadeh <
> mich.talebza...@gmail.com> wrote:
>
>> Is this 1.6 Ted?
>>
>> Dr Mich Talebzadeh
>>
>>
>>
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>>
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>>
>>
>>
>> On 25 March 2016 at 22:40, Ted Yu <yuzhih...@gmail.com> wrote:
>>
>>> Looks like database support was fixed by:
>>>
>>> [SPARK-7943] [SPARK-8105] [SPARK-8435] [SPARK-8714] [SPARK-8561] Fixes
>>> multi-database support
>>>
>>> On Fri, Mar 25, 2016 at 3:35 PM, Ashok Kumar <ashok34...@yahoo.com>
>>> wrote:
>>>
>>>> 1.5.2 Ted.
>>>>
>>>> Those two lines I don't know where they come. It finds and gets the
>>>> table info OK
>>>>
>>>> HTH
>>>>
>>>>
>>>> On Friday, 25 March 2016, 22:32, Ted Yu <yuzhih...@gmail.com> wrote:
>>>>
>>>>
>>>> Which release of Spark do you use, Mich ?
>>>>
>>>> In master branch, the message is more accurate
>>>> (sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/NoSuchItemException.scala):
>>>>
>>>>   override def getMessage: String = s"Table $table not found in
>>>> database $db"
>>>>
>>>>
>>>> On Fri, Mar 25, 2016 at 3:21 PM, Mich Talebzadeh <
>>>> mich.talebza...@gmail.com> wrote:
>>>>
>>>> You can use DESCRIBE FORMATTED <DATABASE>.<TABLE_NAME> to get that info.
>>>>
>>>> This is based on the same command in Hive however, it throws two
>>>> erroneous error lines as shown below (don't see them in Hive DESCRIBE ...)
>>>>
>>>> Example
>>>>
>>>> scala> sql("describe formatted test.t14").collect.foreach(println)
>>>> 16/03/25 22:32:38 ERROR Hive: Table test not found: test.test table not
>>>> found
>>>> 16/03/25 22:32:38 ERROR Hive: Table test not found: test.test table not
>>>> found
>>>> [# col_name             data_type               comment             ]
>>>> [                ]
>>>> [invoicenumber          int                                         ]
>>>> [paymentdate            date                                        ]
>>>> [net                    decimal(20,2)                               ]
>>>> [vat                    decimal(20,2)                               ]
>>>> [total                  decimal(20,2)                               ]
>>>> [                ]
>>>> [# Detailed Table Information            ]
>>>> [Database:              test                     ]
>>>> [Owner:                 hduser                   ]
>>>> [
>>>> *CreateTime:            Fri Mar 25 22:13:44 GMT 2016     ]*[LastAccessTime:
>>>> UNKNOWN                  ]
>>>> [Protect Mode:          None                     ]
>>>> [Retention:             0                        ]
>>>> [Location:
>>>> hdfs://rhes564:9000/user/hive/warehouse/test.db/t14      ]
>>>> [Table Type:            MANAGED_TABLE            ]
>>>> [Table Parameters:               ]
>>>> [       COLUMN_STATS_ACCURATE   {\"BASIC_STATS\":\"true\"}]
>>>> [       comment                 from csv file from excel sheet]
>>>> [       numFiles                2                   ]
>>>> [       orc.compress            ZLIB                ]
>>>> [       totalSize               1090                ]
>>>> [       transient_lastDdlTime   1458944025          ]
>>>> [                ]
>>>> [# Storage Information           ]
>>>> [SerDe Library:
>>>> org.apache.hadoop.hive.ql.io.orc.OrcSerde        ]
>>>> [InputFormat:
>>>> org.apache.hadoop.hive.ql.io.orc.OrcInputFormat  ]
>>>> [OutputFormat:
>>>> org.apache.hadoop.hive.ql.io.orc.OrcOutputFormat         ]
>>>> [Compressed:            No                       ]
>>>> [Num Buckets:           -1                       ]
>>>> [Bucket Columns:        []                       ]
>>>> [Sort Columns:          []                       ]
>>>> [Storage Desc Params:            ]
>>>> [       serialization.format    1                   ]
>>>>
>>>> HTH
>>>>
>>>> Dr Mich Talebzadeh
>>>>
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>>>>
>>>> On 25 March 2016 at 22:12, Ashok Kumar <ashok34...@yahoo.com.invalid>
>>>> wrote:
>>>>
>>>> Experts,
>>>>
>>>> I would like to know when a table was created in Hive database using
>>>> Spark shell?
>>>>
>>>> Thanks
>>>>
>>>>
>>>>
>>>>
>>>>
>>>>
>>>
>>
>

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