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() {

Hello everyone,
Recently I tried to set up petastorm on my company's hadoop cluster.
However as the cluster uses Kerberos for authentication using petastorm failed.
I figured out that petastorm relies on pyarrow which actually supports kerberos authentication.

I hacked "petastorm/petastorm/hdfs/namenode.py" line 250
and replaced it with

driver = 'libhdfs'
return pyarrow.hdfs.c

Currently, there isn't a way to get the table properties in the SparkOrcWriter via the WriterFactory.

Over time we've had some things leak into the diff methods that make it more cumbersome to use BigDiffy via code instead of CLI.

For example diffAvro here https://github.com/spotify/ratatool/blob/master/ratatool-diffy/src/main/scala/com/spotify/ratatool/diffy/BigDiffy.scala#L284

User has to manually pass in schema otherwise we they receive a non-informative error regarding null schema, add

Problem description

Our dask update graphs are not properly optimized.

We ussually use dask.dataframe optimization and set ave_width=repartition_ratio for kartothek.io.dask.dataframe.update_dataset_from_ddf graphs. We should return an optimized graph from update_dataset_from_ddf to make our users' life simple.

We already have code that does this, whoever picks this up can ping me