It's was done 2014 by yours truly https://github.com/apache/spark/pull/1498
so any modern version would have it.
On Mon, Sep 23, 2019 at 9:04 PM, Dhrubajyoti Hati < dhruba.w...@gmail.com >
wrote:
>
> Thanks. Could you please let me know which version of spark its changed.
> We are still at 2.2.
>
> On Tue, 24 Sep, 2019, 9:17 AM Reynold Xin, < rxin@ databricks. com (
> r...@databricks.com ) > wrote:
>
>
>> A while ago we changed it so the task gets broadcasted too, so I think the
>> two are fairly similar.
>>
>>
>>
>>
>>
>>
>> On Mon, Sep 23, 2019 at 8:17 PM, Dhrubajyoti Hati < dhruba. work@ gmail. com
>> ( dhruba.w...@gmail.com ) > wrote:
>>
>>> I was wondering if anyone could help with this question.
>>>
>>> On Fri, 20 Sep, 2019, 11:52 AM Dhrubajyoti Hati, < dhruba. work@ gmail. com
>>> ( dhruba.w...@gmail.com ) > wrote:
>>>
>>>
>>>> Hi,
>>>>
>>>>
>>>> I have a question regarding passing a dictionary from driver to executors
>>>> in spark on yarn. This dictionary is needed in an udf. I am using pyspark.
>>>>
>>>>
>>>> As I understand this can be passed in two ways:
>>>>
>>>>
>>>> 1. Broadcast the variable and then use it in the udfs
>>>>
>>>>
>>>> 2. Pass the dictionary in the udf itself, in something like this:
>>>>
>>>>
>>>> def udf1(col1, dict):
>>>> ..
>>>> def udf 1 _ fn (dict):
>>>> return udf(lambda col_ data : udf1( col_data, dict ))
>>>>
>>>>
>>>> df.withColumn("column_new", udf 1 _ fn (dict)("old_column"))
>>>>
>>>>
>>>> Well I have tested with both the ways and it works both ways.
>>>>
>>>>
>>>> Now I am wondering what is fundamentally different between the two. I
>>>> understand how broadcast work but I am not sure how the data is passed
>>>> across in the 2nd way. Is the dictionary passed to each executor every
>>>> time when new task is running on that executor or they are passed only
>>>> once. Also how the data is passed to the python processes. They are python
>>>> udfs so I think they are executed natively in python.(Plz correct me if I
>>>> am wrong). So the data will be serialised and passed to python.
>>>>
>>>> So in summary my question is which will be better/efficient way to write
>>>> the whole thing and why?
>>>>
>>>>
>>>> Thank you!
>>>>
>>>>
>>>> R egards,
>>>> Dhrub
>>>>
>>>
>>>
>>
>>
>
>
