I think the word "INNER" is reserved in Hive. Please change the alias to
something else.
Not sure about scala, but essentially it is string replacement.
On Sun, Jul 31, 2016 at 7:27 PM, Mich Talebzadeh <mich.talebza...@gmail.com>
wrote:
> thanks how about scala?
>
> BTW the same analytic code fails in Hive itself:(
>
> hive> select *
> > from (select transactiondate, transactiondescription, debitamount
> > from (select transactiondate, transactiondescription, debitamount
> > , rank() over (order by transactiondate desc) r
> > from ll_18740868 where transactiondescription like '%XYZ%'
> > ) inner
> > where r=1
> > ;
>
> FailedPredicateException(identifier,{useSQL11ReservedKeywordsForIdentifier()}?)
> at
> org.apache.hadoop.hive.ql.parse.HiveParser_IdentifiersParser.identifier(HiveParser_IdentifiersParser.java:11833)
> at
> org.apache.hadoop.hive.ql.parse.HiveParser.identifier(HiveParser.java:47987)
> at
> org.apache.hadoop.hive.ql.parse.HiveParser_FromClauseParser.subQuerySource(HiveParser_FromClauseParser.java:5520)
> at
> org.apache.hadoop.hive.ql.parse.HiveParser_FromClauseParser.fromSource0(HiveParser_FromClauseParser.java:3918)
> at
> org.apache.hadoop.hive.ql.parse.HiveParser_FromClauseParser.fromSource(HiveParser_FromClauseParser.java:3818)
> at
> org.apache.hadoop.hive.ql.parse.HiveParser_FromClauseParser.joinSource(HiveParser_FromClauseParser.java:1909)
> at
> org.apache.hadoop.hive.ql.parse.HiveParser_FromClauseParser.fromClause(HiveParser_FromClauseParser.java:1546)
> at
> org.apache.hadoop.hive.ql.parse.HiveParser.fromClause(HiveParser.java:48001)
> at
> org.apache.hadoop.hive.ql.parse.HiveParser.selectStatement(HiveParser.java:42252)
> at
> org.apache.hadoop.hive.ql.parse.HiveParser.regularBody(HiveParser.java:42138)
> at
> org.apache.hadoop.hive.ql.parse.HiveParser.queryStatementExpressionBody(HiveParser.java:41154)
> at
> org.apache.hadoop.hive.ql.parse.HiveParser.queryStatementExpression(HiveParser.java:41024)
> at
> org.apache.hadoop.hive.ql.parse.HiveParser_FromClauseParser.subQuerySource(HiveParser_FromClauseParser.java:5492)
> at
> org.apache.hadoop.hive.ql.parse.HiveParser_FromClauseParser.fromSource0(HiveParser_FromClauseParser.java:3918)
> at
> org.apache.hadoop.hive.ql.parse.HiveParser_FromClauseParser.fromSource(HiveParser_FromClauseParser.java:3818)
> at
> org.apache.hadoop.hive.ql.parse.HiveParser_FromClauseParser.joinSource(HiveParser_FromClauseParser.java:1909)
> at
> org.apache.hadoop.hive.ql.parse.HiveParser_FromClauseParser.fromClause(HiveParser_FromClauseParser.java:1546)
> at
> org.apache.hadoop.hive.ql.parse.HiveParser.fromClause(HiveParser.java:48001)
> at
> org.apache.hadoop.hive.ql.parse.HiveParser.selectStatement(HiveParser.java:42252)
> at
> org.apache.hadoop.hive.ql.parse.HiveParser.regularBody(HiveParser.java:42138)
> at
> org.apache.hadoop.hive.ql.parse.HiveParser.queryStatementExpressionBody(HiveParser.java:41154)
> at
> org.apache.hadoop.hive.ql.parse.HiveParser.queryStatementExpression(HiveParser.java:41024)
> at
> org.apache.hadoop.hive.ql.parse.HiveParser.execStatement(HiveParser.java:1653)
> at
> org.apache.hadoop.hive.ql.parse.HiveParser.statement(HiveParser.java:1137)
> at
> org.apache.hadoop.hive.ql.parse.ParseDriver.parse(ParseDriver.java:204)
> at
> org.apache.hadoop.hive.ql.parse.ParseDriver.parse(ParseDriver.java:166)
> at org.apache.hadoop.hive.ql.Driver.compile(Driver.java:446)
> at org.apache.hadoop.hive.ql.Driver.compile(Driver.java:319)
> at
> org.apache.hadoop.hive.ql.Driver.compileInternal(Driver.java:1255)
> at org.apache.hadoop.hive.ql.Driver.runInternal(Driver.java:1301)
> at org.apache.hadoop.hive.ql.Driver.run(Driver.java:1184)
> at org.apache.hadoop.hive.ql.Driver.run(Driver.java:1172)
> at
> org.apache.hadoop.hive.cli.CliDriver.processLocalCmd(CliDriver.java:233)
> at
> org.apache.hadoop.hive.cli.CliDriver.processCmd(CliDriver.java:184)
> at
> org.apache.hadoop.hive.cli.CliDriver.processLine(CliDriver.java:400)
> at
> org.apache.hadoop.hive.cli.CliDriver.executeDriver(CliDriver.java:778)
> at org.apache.hadoop.hive.cli.CliDriver.run(CliDriver.java:717)
> at org.apache.hadoop.hive.cli.CliDriver.main(CliDriver.java:645)
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at
> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
> at
> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:498)
> at org.apache.hadoop.util.RunJar.run(RunJar.java:221)
> at org.apache.hadoop.util.RunJar.main(RunJar.java:136)
> *FAILED: ParseException line 6:7 Failed to recognize predicate 'inner'.
> Failed rule: 'identifier' in subquery source*
>
>
> Dr Mich Talebzadeh
>
>
>
> LinkedIn *
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> <https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw>*
>
>
>
> http://talebzadehmich.wordpress.com
>
>
> *Disclaimer:* Use it at your own risk. Any and all responsibility for any
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> from relying on this email's technical content is explicitly disclaimed.
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>
>
>
> On 31 July 2016 at 10:21, ayan guha <guha.a...@gmail.com> wrote:
>
>> Hi
>>
>> This is because Spark does not provide a way to "bind" variables like
>> Oracle does.
>>
>> So you can build the sql string, like below (in python)
>>
>> val = 'XYZ'
>> sqlbase = "select ..... where col = '<val>'".replace('<val>,val)
>>
>>
>>
>> On Sun, Jul 31, 2016 at 6:25 PM, Mich Talebzadeh <
>> mich.talebza...@gmail.com> wrote:
>>
>>> Thanks Ayan.
>>>
>>> This is the one I used
>>>
>>> scala> sqltext = """
>>> | select *
>>> | from (select transactiondate, transactiondescription, debitamount
>>> | , rank() over (order by transactiondate desc) r
>>> | from ll_18740868 where transactiondescription like '%XYZ%'
>>> | ) inner
>>> | where r=1
>>> | """
>>>
>>> scala> HiveContext.sql(sqltext).show
>>> +---------------+----------------------+-----------+---+
>>> |transactiondate|transactiondescription|debitamount| r|
>>> +---------------+----------------------+-----------+---+
>>> | 2015-12-15| XYZ LTD CD 4636 | 10.95| 1|
>>> +---------------+----------------------+-----------+---+
>>>
>>> The issue I see is that in SQL here I cannot pass HASHTAG as a variable
>>> to SQL. For example in RDBMS I can do this
>>>
>>> 1> declare @pattern varchar(50)
>>> 2> set @pattern = 'Direct'
>>> 3> select CHANNEL_DESC from CHANNELS where CHANNEL_DESC like
>>> '%'||@pattern||'%'
>>> 4> go
>>> (1 row affected)
>>> CHANNEL_DESC
>>> --------------------
>>> Direct Sales
>>>
>>> but not in Hive or Spark SQL
>>>
>>> whereas with FP it does it implicitly.
>>>
>>> col("CHANNELS").contains(HASHTAG))
>>>
>>> Unless there is a way of doing it?
>>>
>>> Thanks
>>>
>>>
>>>
>>>
>>>
>>>
>>>
>>>
>>>
>>>
>>>
>>>
>>>
>>>
>>> Dr Mich Talebzadeh
>>>
>>>
>>>
>>> LinkedIn *
>>> https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw
>>> <https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw>*
>>>
>>>
>>>
>>> http://talebzadehmich.wordpress.com
>>>
>>>
>>> *Disclaimer:* Use it at your own risk. Any and all responsibility for
>>> any loss, damage or destruction of data or any other property which may
>>> arise from relying on this email's technical content is explicitly
>>> disclaimed. The author will in no case be liable for any monetary damages
>>> arising from such loss, damage or destruction.
>>>
>>>
>>>
>>> On 31 July 2016 at 01:20, ayan guha <guha.a...@gmail.com> wrote:
>>>
>>>> select *
>>>> from (select *,
>>>> rank() over (order by transactiondate) r
>>>> from ll_18740868 where transactiondescription='XYZ'
>>>> ) inner
>>>> where r=1
>>>>
>>>> Hi Mitch,
>>>>
>>>> If using SQL is fine, you can try the code above. You need to register
>>>> ll_18740868 as temp table.
>>>>
>>>> On Sun, Jul 31, 2016 at 6:49 AM, Mich Talebzadeh <
>>>> mich.talebza...@gmail.com> wrote:
>>>>
>>>>>
>>>>> Hi,
>>>>>
>>>>> I would like to find out when it was the last time I paid a company
>>>>> with Debit Card
>>>>>
>>>>>
>>>>> This is the way I do it.
>>>>>
>>>>> 1) Find the date when I paid last
>>>>> 2) Find the rest of details from the row(s)
>>>>>
>>>>> So
>>>>>
>>>>> var HASHTAG = "XYZ"
>>>>> scala> var maxdate =
>>>>> ll_18740868.filter(col("transactiondescription").contains(HASHTAG)).agg(max("transactiondate")).collect.apply(0)
>>>>> maxdate: org.apache.spark.sql.Row = [2015-12-15]
>>>>>
>>>>> OK so it was 2015-12-15
>>>>>
>>>>>
>>>>> Now I want to get the rest of the columns. This one works when I hard
>>>>> code the maxdate!
>>>>>
>>>>>
>>>>> scala> ll_18740868.filter(col("transactiondescription").contains(HASHTAG)
>>>>> && col("transactiondate") === "2015-12-15").select("transactiondate",
>>>>> "transactiondescription", "debitamount").show
>>>>> +---------------+----------------------+-----------+
>>>>> |transactiondate|transactiondescription|debitamount|
>>>>> +---------------+----------------------+-----------+
>>>>> | 2015-12-15| XYZ LTD CD 4636 | 10.95|
>>>>> +---------------+----------------------+-----------+
>>>>>
>>>>> Now if I want to use the var maxdate in place of "2015-12-15", how
>>>>> would I do that?
>>>>>
>>>>> I tried lit(maxdate) etc but they are all giving me error?
>>>>>
>>>>> java.lang.RuntimeException: Unsupported literal type class
>>>>> org.apache.spark.sql.catalyst.expressions.GenericRowWithSchema
>>>>> [2015-12-15]
>>>>>
>>>>>
>>>>> Thanks
>>>>>
>>>>
>>>>
>>>>
>>>> --
>>>> Best Regards,
>>>> Ayan Guha
>>>>
>>>
>>>
>>
>>
>> --
>> Best Regards,
>> Ayan Guha
>>
>
>
--
Best Regards,
Ayan Guha
