The below line works
val c = newDF.withColumn("target_mobile_no",
col("target_mobile_no").cast(StringType)).
filter("length(target_mobile_no) != 10 OR
substring(target_mobile_no,1,1) != '7'")
But not the following when the values are passed as parameters
val rejectedDF = newDF.withColumn("target_mobile_no",
col("target_mobile_no").cast(StringType)).
filter(*"*length(target_mobile_no) !=
broadcastStagingConfig.mobileNoLength OR substring(target_mobile_no,1,1) !=
broadcastStagingConfig.ukMobileNoStart*"*)
I think it cannot interpret them
Dr Mich Talebzadeh
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On Wed, 29 Apr 2020 at 13:25, Mich Talebzadeh <mich.talebza...@gmail.com>
wrote:
> OK how do you pass variables for 10 and '7'
>
> val rejectedDF = newDF.withColumn("target_mobile_no",
> col("target_mobile_no").cast(StringType)).
>
> filter("length(target_mobile_no) != 10 OR
> substring(target_mobile_no,1,1) != '7'")
>
> in above in Scala. Neither $ value below or lit() are working!
>
> val rejectedDF = newDF.withColumn("target_mobile_no",
> col("target_mobile_no").cast(StringType)).
>
> filter("length(target_mobile_no) !=
> ${broadcastStagingConfig.mobileNoLength} OR substring(target_mobile_no,1,1)
> != ${broadcastStagingConfig.ukMobileNoStart}")
>
>
> Thanks
>
>
>
>
>
> Dr Mich Talebzadeh
>
>
>
> LinkedIn *
> https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw
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>
>
>
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> *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
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>
> On Wed, 29 Apr 2020 at 10:15, Mich Talebzadeh <mich.talebza...@gmail.com>
> wrote:
>
>> Hi Zhang,
>>
>> Yes the SQL way worked fine
>>
>> val rejectedDF = newDF.withColumn("target_mobile_no",
>> col("target_mobile_no").cast(StringType)).
>>
>> filter("length(target_mobile_no) != 10 OR
>> substring(target_mobile_no,1,1) != '7'")
>>
>> Many 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 Wed, 29 Apr 2020 at 09:51, ZHANG Wei <wezh...@outlook.com> wrote:
>>
>>> AFAICT, maybe Spark SQL built-in functions[1] can help as below:
>>>
>>> scala> df.show()
>>> +----+-------+
>>> | age| name|
>>> +----+-------+
>>> |null|Michael|
>>> | 30| Andy|
>>> | 19| Justin|
>>> +----+-------+
>>>
>>>
>>> scala> df.filter("length(name) == 4 or substring(name, 1, 1) ==
>>> 'J'").show()
>>> +---+------+
>>> |age| name|
>>> +---+------+
>>> | 30| Andy|
>>> | 19|Justin|
>>> +---+------+
>>>
>>>
>>> --
>>> Cheers,
>>> -z
>>> [1] https://spark.apache.org/docs/latest/api/sql/index.html
>>>
>>> On Wed, 29 Apr 2020 08:45:26 +0100
>>> Mich Talebzadeh <mich.talebza...@gmail.com> wrote:
>>>
>>> > Hi,
>>> >
>>> >
>>> >
>>> > Trying to filter a dataframe with multiple conditions using OR "||" as
>>> below
>>> >
>>> >
>>> >
>>> > val rejectedDF = newDF.withColumn("target_mobile_no",
>>> > col("target_mobile_no").cast(StringType)).
>>> >
>>> > filter(length(col("target_mobile_no")) !== 10 ||
>>> > substring(col("target_mobile_no"),1,1) !== "7")
>>> >
>>> >
>>> >
>>> > This throws this error
>>> >
>>> >
>>> >
>>> > res12: org.apache.spark.sql.DataFrame = []
>>> >
>>> > <console>:49: error: value || is not a member of Int
>>> >
>>> > filter(length(col("target_mobile_no")) !==
>>> 10 ||
>>> > substring(col("target_mobile_no"),1,1) !== "7")
>>> >
>>> >
>>> >
>>> > Try another way
>>> >
>>> >
>>> >
>>> > val rejectedDF = newDF.withColumn("target_mobile_no",
>>> > col("target_mobile_no").cast(StringType)).
>>> >
>>> > filter(length(col("target_mobile_no")) !=== 10 ||
>>> > substring(col("target_mobile_no"),1,1) !=== "7")
>>> >
>>> > rejectedDF.createOrReplaceTempView("tmp")
>>> >
>>> >
>>> >
>>> > Tried few options but I am still getting this error
>>> >
>>> >
>>> >
>>> > <console>:49: error: value !=== is not a member of
>>> > org.apache.spark.sql.Column
>>> >
>>> > filter(length(col("target_mobile_no")) !===
>>> 10 ||
>>> > substring(col("target_mobile_no"),1,1) !=== "7")
>>> >
>>> > ^
>>> >
>>> > <console>:49: error: value || is not a member of Int
>>> >
>>> > filter(length(col("target_mobile_no")) !===
>>> 10 ||
>>> > substring(col("target_mobile_no"),1,1) !=== "7")
>>> >
>>> >
>>> >
>>> > I can create a dataframe for each filter but that does not look
>>> efficient
>>> > to me?
>>> >
>>> >
>>> >
>>> > 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.
>>>
>>
