rio.how to convert struct type into map type
i have a column named "data" which is struct type. pls find the sample data
format:
data:struct
field1:long
field2:string
field3:array
field4:long
field5:struct
code:string
> I am thinking of writing out the dfKV dataframe to disk and then use Avro
apis to read the data.
Ping me if you have something, I'm planning similar things...
On Thu, Feb 28, 2019 at 5:27 PM Hien Luu wrote:
> Thanks for the answer.
>
> As far as the next step goes, I am thinking of writing ou
Thanks for the answer.
As far as the next step goes, I am thinking of writing out the dfKV
dataframe to disk and then use Avro apis to read the data.
This smells like a bug somewhere.
Cheers,
Hien
On Thu, Feb 28, 2019 at 4:02 AM Gabor Somogyi
wrote:
> No, just take a look at the schema of df
No, just take a look at the schema of dfStruct since you've converted its
value column with to_avro:
scala> dfStruct.printSchema
root
|-- id: integer (nullable = false)
|-- name: string (nullable = true)
|-- age: integer (nullable = false)
|-- value: struct (nullable = false)
||-- name: s
Thanks for looking into this. Does this mean string fields should alway be
nullable?
You are right that the result is not yet correct and further digging is
needed :(
On Wed, Feb 27, 2019 at 1:19 AM Gabor Somogyi
wrote:
> Hi,
>
> I was dealing with avro stuff lately and most of the time it has
Hi,
I was dealing with avro stuff lately and most of the time it has something
to do with the schema.
One thing I've pinpointed quickly (where I was struggling also) is the name
field should be nullable but the result is not yet correct so further
digging needed...
scala> val expectedSchema = Str
Hi,
I ran into a pretty weird issue with to_avro and from_avro where it was not
able to parse the data in a struct correctly. Please see the simple and
self contained example below. I am using Spark 2.4. I am not sure if I
missed something.
This is how I start the spark-shell on my Mac:
./bin/
Hi,
Use explode function, filter operator and collect_list function.
Or "heavier" flatMap.
Pozdrawiam,
Jacek Laskowski
https://about.me/JacekLaskowski
Spark Structured Streaming https://bit.ly/spark-structured-streaming
Mastering Apache Spark 2 https://bit.ly/mastering-apache-spark
Follow m
Hi,
I have following schema in dataframe and I want to extract key which
matches as MaxSpeed from the array and it's corresponding value of the key.
|-- tags: array (nullable = true)
||-- element: struct (containsNull = true)
|||-- key: string (nullable = true)
|||-- value:
