Re: How to make batch filter

[Bitfox]

One more question, for this big filter, given my server has 4 Cores, will
spark (standalone mode) split the RDD to 4 partitions automatically?

Thanks

On Sun, Jan 2, 2022 at 6:30 AM Mich Talebzadeh 
wrote:

> Create a list of values that you don't want anf filter oon those
>
> >>> DF = spark.range(10)
> >>> DF
> DataFrame[id: bigint]
> >>>
> >>> array = [1, 2, 3, 8]  # don't want these
> >>> DF.filter(DF.id.isin(array) == False).show()
> +---+
> | id|
> +---+
> |  0|
> |  4|
> |  5|
> |  6|
> |  7|
> |  9|
> +---+
>
>  or use binary NOT operator:
>
>
> >>> DF.filter(*~*DF.id.isin(array)).show()
>
> +---+
>
> | id|
>
> +---+
>
> |  0|
>
> |  4|
>
> |  5|
>
> |  6|
>
> |  7|
>
> |  9|
>
> +---+
>
>
> HTH
>
>
>view my Linkedin profile
> 
>
>
>
> *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 Sat, 1 Jan 2022 at 20:59, Bitfox  wrote:
>
>> Using the dataframe API I need to implement a batch filter:
>>
>> DF. select(..).where(col(..) != ‘a’ and col(..) != ‘b’ and …)
>>
>> There are a lot of keywords should be filtered for the same column in
>> where statement.
>>
>> How can I make it more smater? UDF or others?
>>
>> Thanks & Happy new Year!
>> Bitfox
>>
>

Re: How to make batch filter

[Bitfox]

That’s great thanks.

On Sun, Jan 2, 2022 at 6:30 AM Mich Talebzadeh 
wrote:

> Create a list of values that you don't want anf filter oon those
>
> >>> DF = spark.range(10)
> >>> DF
> DataFrame[id: bigint]
> >>>
> >>> array = [1, 2, 3, 8]  # don't want these
> >>> DF.filter(DF.id.isin(array) == False).show()
> +---+
> | id|
> +---+
> |  0|
> |  4|
> |  5|
> |  6|
> |  7|
> |  9|
> +---+
>
>  or use binary NOT operator:
>
>
> >>> DF.filter(*~*DF.id.isin(array)).show()
>
> +---+
>
> | id|
>
> +---+
>
> |  0|
>
> |  4|
>
> |  5|
>
> |  6|
>
> |  7|
>
> |  9|
>
> +---+
>
>
> HTH
>
>
>view my Linkedin profile
> 
>
>
>
> *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 Sat, 1 Jan 2022 at 20:59, Bitfox  wrote:
>
>> Using the dataframe API I need to implement a batch filter:
>>
>> DF. select(..).where(col(..) != ‘a’ and col(..) != ‘b’ and …)
>>
>> There are a lot of keywords should be filtered for the same column in
>> where statement.
>>
>> How can I make it more smater? UDF or others?
>>
>> Thanks & Happy new Year!
>> Bitfox
>>
>

Re: How to make batch filter

[Mich Talebzadeh]

Create a list of values that you don't want anf filter oon those

>>> DF = spark.range(10)
>>> DF
DataFrame[id: bigint]
>>>
>>> array = [1, 2, 3, 8]  # don't want these
>>> DF.filter(DF.id.isin(array) == False).show()
+---+
| id|
+---+
|  0|
|  4|
|  5|
|  6|
|  7|
|  9|
+---+

 or use binary NOT operator:


>>> DF.filter(*~*DF.id.isin(array)).show()

+---+

| id|

+---+

|  0|

|  4|

|  5|

|  6|

|  7|

|  9|

+---+


HTH


   view my Linkedin profile




*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 Sat, 1 Jan 2022 at 20:59, Bitfox  wrote:

> Using the dataframe API I need to implement a batch filter:
>
> DF. select(..).where(col(..) != ‘a’ and col(..) != ‘b’ and …)
>
> There are a lot of keywords should be filtered for the same column in
> where statement.
>
> How can I make it more smater? UDF or others?
>
> Thanks & Happy new Year!
> Bitfox
>

How to make batch filter

[Bitfox]

Using the dataframe API I need to implement a batch filter:

DF. select(..).where(col(..) != ‘a’ and col(..) != ‘b’ and …)

There are a lot of keywords should be filtered for the same column in where
statement.

How can I make it more smater? UDF or others?

Thanks & Happy new Year!
Bitfox