Hi Gyula,
does `toAppendStream(Row.class)` work for you? The other methods take
TypeInformation and might cause this problem. It is definitely a bug.
Feel free to open an issue under:
https://issues.apache.org/jira/browse/FLINK-12251
Regards,
Timo
On 28.04.20 18:44, Gyula Fóra wrote:
Hi Timo,
I am trying to convert simply back to a DataStream. Let's say:
DataStream<Tuple2<String[], Integer[]>>
I can convert the DataStream into a table without a problem, the problem
is getting a DataStream back.
Thanks
Gyula
On Tue, Apr 28, 2020 at 6:32 PM Timo Walther <twal...@apache.org
<mailto:twal...@apache.org>> wrote:
Hi Gyula,
are you coming from DataStream API or are you trying to implement a
source/sink? It looks like the array is currently serialized with Kryo.
I would recommend to take a look at this class:
org.apache.flink.table.types.utils.LegacyTypeInfoDataTypeConverter
This is the current mapping between old TypeInformation and new
DataType
system. A back and forth conversion should work between those types.
Regards,
Timo
On 28.04.20 15:36, Gyula Fóra wrote:
> Hi All!
>
> I have a Table with columns of ARRAY<STRING> and ARRAY<INT>, is
there
> any way to convert it back to the respective java arrays?
String[] and
> Integer[]
>
> It only seems to work for primitive types (non null), date, time and
> decimal.
>
> For String for instance I get the following error:
> Query schema: [f0: ARRAY<STRING>]
> Sink schema: [f0: LEGACY('ARRAY', 'ANY<[Ljava.lang.String;,....
>
> Am I doing something wrong?
>
> Thanks
> Gyula
