Re: contributor permission for Beam Jira tickets

Sounds good Robert. I had initially come across this link [1]. But it looks like GitHub is used for tracking tasks now. Thanks. [1] https://cwiki.apache.org/confluence/display/BEAM/Beam+Jira+Beginner%27s+Guide On Sat, Aug 13, 2022 at 12:51 AM Robert Burke wrote: > Beam uses GitHub Issues

Re: contributor permission for Beam Jira tickets

Beam uses GitHub Issues directly these days. Commenting .take-issue will assign an issue to you. See beam.apache.org/contribute for more details. That said: Do we still have instructions that point to the legacy tracker? Could you link them, if so? Or do you need to make a modification to

contributor permission for Beam Jira tickets

Hi, Could someone kindly add me as a contributor to Beam's Jira issue tracker? I would like to create/assign tickets. My ASF Jira username is *Kanishk.k* Thanks, Kanishk

Re: [VOTE] Release 2.41.0, release candidate #1

+1 - I validated python quickstarts on direct runner. Thank you Kiley! On Thu, Aug 11, 2022 at 9:56 PM Kiley Sok via dev wrote: > Hi everyone, > Please review and vote on the release candidate #1 for the version 2.41.0, > as follows: > [ ] +1, Approve the release > [ ] -1, Do not approve the

Re: Representation of logical type beam:logical_type:datetime:v1

Ah sorry, I forgot that INT64 is encoded with VarIntCoder, so we can't simulate TimestampCoder with a logical type. I think the ideal end state would be to have a well-defined beam:logical_type:millis_instant that we use for cross-language (when appropriate), and never use DATETIME at

Re: Design Doc for Controlling Batching in RunInference

Hi Andy, Thanks for writing this up! This seems like something that Batched DoFns could help with. Could we make a BatchConverter [1] that represents the necessary transformations here, and define RunInference as a Batched DoFn? Note that the Numpy BatchConverter already enables users to specify

Design Doc for Controlling Batching in RunInference

Hi everyone, I've written up a design doc [1] on controlling batching in RunInference. I'd appreciate any feedback. Thanks! Summary: Add a custom stacking function to RunInference to enable users to control

Re: Community event cooperation

Hi! Would 8:00 AM PST on Wednesday, August 17th work for you? On Thu, Aug 11, 2022 at 8:49 PM 曾辉 wrote: > Hi, Ahmet， > > Thank you for reaching out. We will definitely post the consensus we > reached at the meeting here and determine when it will be held,. > Now waiting for Brittany, and

Re: Representation of logical type beam:logical_type:datetime:v1

Hi Cham, Thanks for the comments. > >> >> ii. "beam:logical_type:instant:v1" is still backed by INT64, but in >> implementation it will use BigEndianLongCoder to encode/decode the stream. >> >> > Is this to be compatible with the current Java implementation ? And we > have to update other SDKs

Beam High Priority Issue Report (69)

This is your daily summary of Beam's current high priority issues that may need attention. See https://beam.apache.org/contribute/issue-priorities for the meaning and expectations around issue priorities. Unassigned P0 Issues: https://github.com/apache/beam/issues/22696 [Bug]: Contact us.