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We have the similar project when using [TensorFlow Serving](https://github.com/tensorflow/serving) with Java gRPC clients. Is there any way to fix that? @ejona86

+1 for usage :smiley:

The example is basically from the CFR paper. Would you like to refer that?

Thanks for your response. Can you show which script causes this error? How can we re-produce this problem? @sasforce

Thanks for your response @guanzeying @YOUNG34 . It would be the issue of compatibility of `Python 2.7` and `Python 3.0`. I will have a look later or just remove the...

@Wyrobowa I couldn't find the file in css folder. Have you pushed the commit to github?

The added UT may be enable after this issue resolved https://github.com/4paradigm/OpenMLDB/issues/2639 .

 [performance optimization for offline processing](https://trello.com/c/IkCOLr7m/8-performance-optimization-for-offline-processing)

The new config `enable_window_column_pruning` is defined in `sql_compiler.h`. We should add the new config like `enable_batch_window_parallelization` and enable by users config. ``` struct SqlContext { // mode: batch|request|batch request ::hybridse::vm::EngineMode...

The root cause is that Spark uses curator 2.7.1 for Hadoop 2.7 by default and OpenMLDB uses curator 4.2.0 which are not compatible. Here is the patch to fix that...