372046933 commented on issue #1995:
URL:
https://github.com/apache/incubator-brpc/issues/1995#issuecomment-1325848850
@Tuvie I have tested `append_user_data_with_meta`. It works as expected. As
for the return value of `append_user_data` when size is 0. I added a pre-check
in application
372046933 commented on issue #1995:
URL:
https://github.com/apache/incubator-brpc/issues/1995#issuecomment-1321077817
Thanks a million. Is `append_user_data_with_meta` in the PR? I couldn't find
the definition in
372046933 commented on issue #1995:
URL:
https://github.com/apache/incubator-brpc/issues/1995#issuecomment-1318280013
Yes, we can manage `LKey`. Does adding parameter to `append_user_data `
breaks backward compatibility?
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372046933 commented on issue #1995:
URL:
https://github.com/apache/incubator-brpc/issues/1995#issuecomment-1318247334
@Tuvie We use `append_user_data` in tensorflow's
`AsyncOpKernel::ComputeAsync`. The memory comes from tensor in TensorFlow OP.
It's allocated by the framework on each run.
372046933 commented on issue #1995:
URL:
https://github.com/apache/incubator-brpc/issues/1995#issuecomment-1318112797
In my scenario, memory pool is not applicable, because the memory are
allocated by allocator in the library out of control. I have tested
`RegisterMemoryForRdma` with
372046933 commented on issue #1995:
URL:
https://github.com/apache/incubator-brpc/issues/1995#issuecomment-1317996849
Since linear scan is not efficient. Would interval tree be used to query and
update in $\mathcal{O}(\log{}n)$ ?
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372046933 commented on issue #1995:
URL:
https://github.com/apache/incubator-brpc/issues/1995#issuecomment-1317959593
Would it be better if `MAX_USER_MRS` be defined by `gflags`?
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372046933 commented on issue #1995:
URL:
https://github.com/apache/incubator-brpc/issues/1995#issuecomment-1316161463
@Tuvie How much work is needed? It's grateful if you can shed some light on
the relation between `user_data` and memory registered by `ibv_reg_mr`
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