alanhe

According to the doc: https://web.mit.edu/kerberos/krb5-devel/doc/admin/princ_dns.html#service-principal-canonicalization > If dns_canonicalize_hostname is set to true (the default value), the client performs forward resolution by looking up the IPv4 and/or IPv6 addresses of the...

Steps to reproduce: Add another cluster configuration in the testdata file: https://github.com/colinmarc/hdfs/blob/master/hadoopconf/testdata/conf/hdfs-site.xml#L37 to make it: ```xml dfs.nameservices tests dfs.ha.automatic-failover.enabled true dfs.ha.namenodes.mycluster nn1,nn2 dfs.namenode.rpc-address.mycluster.nn1 namenode1:8020 dfs.namenode.rpc-address.mycluster.nn2 namenode2:8020 dfs.ha.namenodes.yourcluster nn1,nn2 dfs.namenode.rpc-address.yourcluster.nn1 namenode3:8020...

Fix GUI dependency in README.md

1

Need to install `.[deep-learning]` for running `python3 gui/application.py`. Otherwise, I get errors like `ModuleNotFoundError: No module named 'torch'` for missing torch, datasets. etc.

[processor/batch] processor ID missing from the metadata_cardinality metric

1

**Describe the bug** When having more than one batchers, for example: ```yaml processors: batch/1: send_batch_max_size: 10000 timeout: 10s metadata_keys: ["label1"] metadata_cardinality_limit: 0 batch/2: send_batch_max_size: 10000 timeout: 10s metadata_keys: ["label2"] metadata_cardinality_limit:...