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hadoop
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Currently we are able to map schemas and tables using file based mapping. This is great as it makes it possible to handle the case where schemas and tables names differ with casing only. However we do not support this for columns yet. So in case user has a table where two column names differs with casing only (like column A
and a
) we are not able to read it.
See `io.trino.plugin.jdbc.mappin
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Refactor existing hashCode() to include class for methods using the Apache Commons Lang 3 style
Append class
to all HashCodeBuilders
in Gaffer for the below issue to minimise hash collisions.
@Test
void name() {
Foo foo = new Foo();
Bar bar = new Bar();
assertFalse(foo.equals(bar));
assertNotEquals(foo.hashCode(), bar.hashCode()); //fails
}
class Bar {
int a = 3;
@Override
public int hashCode() {
xref #2823
Running mypy ibis/backends/clickhouse/
reports 5 errors, related to missing or inconsistent type annotations. We should fix them, and make that command finish in a clean way.
Here there are some sample fixes: #2857
问题描述:关于工程中某个工作流节点单独执行不报错,保存工作流时提示:NotClassDefFoundError:Cloud not initialize class dispatch.Http$
问题原因:linkis-publish微服务关于netty-3.6.2.Final.jar升级包缺失
问题解决:将升级包上传重启linkis-publish微服务即可。
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At this moment relu_layer op doesn't allow threshold configuration, and legacy RELU op allows that.
We should add configuration option to relu_layer.