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https://issues.apache.org/jira/browse/BEAM-6730?focusedWorklogId=211027&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-211027
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ASF GitHub Bot logged work on BEAM-6730:
----------------------------------------
Author: ASF GitHub Bot
Created on: 11/Mar/19 14:44
Start Date: 11/Mar/19 14:44
Worklog Time Spent: 10m
Work Description: mxm commented on issue #7875: [BEAM-6730] Expose Java
SDK's GenerateSequence in Python
URL: https://github.com/apache/beam/pull/7875#issuecomment-471568266
Hey Cham, I was out of office the past week. Here's what I proposed on the
mailing list:
Changes to the PR:
1) Remove GenerateSequencePayload
2) Add generic ExternalTransformPayload, for example:
```
message ExternalTransformPayload {
enum Enum {
PROPERTIES = 0
[(beam_urn) = "beam:external:transform:external_transform:v1"];
}
// the format may change to map<string, bytes> if types are supported
map<string, string> parameters = 1;
}
```
I think we haven't fully figured out the wire format, but we have agreed
that it is a list of parameters which use a predefined set of data types. For
the scope of the PR, I'll stick with strings.
3) Define a Pojo in GenerateSequence with the parameters
4) Add a schema-based Pojo <=> ExternalTransformPayload conversion
5) Let Python wrappers use ExternalTransformPayload for the request to
the ExpansionService
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Issue Time Tracking
-------------------
Worklog Id: (was: 211027)
Time Spent: 4h 20m (was: 4h 10m)
> Expose Java transforms (specifically IO) in other SDKs
> ------------------------------------------------------
>
> Key: BEAM-6730
> URL: https://issues.apache.org/jira/browse/BEAM-6730
> Project: Beam
> Issue Type: New Feature
> Components: runner-flink, sdk-java-core, sdk-py-core
> Reporter: Maximilian Michels
> Assignee: Maximilian Michels
> Priority: Major
> Time Spent: 4h 20m
> Remaining Estimate: 0h
>
> Since https://github.com/apache/beam/pull/7316 we can reference external
> transforms which are transforms only available in a "foreign" SDKs. This
> allows us to fill the gap in terms of missing transforms in the Python and Go
> SDK, specifically IO transforms.
> We can start collecting/exposing transforms that Beam users need. The
> following transforms could be interesting:
> - KafkaIO / KinesisIO
> - CassandraIO / ElasticserchIO / Hbase / Redis
> - JDBC
> - S3 file system
> - GenerateSequence
> See also https://s.apache.org/beam-cross-language-io and BEAM-6485.
> CC [~robertwb] [~chamikara] [~thw]
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