aljoscha
Follow
aljoscha
Follow
Popular repositories
568 contributions in the last year
Less
More
Activity overview
Contributed to
apache/flink,
MaterializeInc/materialize,
flink-ci/flink-mirror
and 5 other
repositories
Contribution activity
July 2021
Created 31 commits in 1 repository
Created a pull request in MaterializeInc/materialize that received 24 comments
sources,sinks: de-experimentalize RT timestamp binding persistence (AKA exactly-once sinks)
The title describes what it does underneath, but what it really does is de-experimentalize exactly-once (aka reuse_topic) sinks with real-time time…
+118
−68
•
24
comments
Opened 6 other pull requests in 1 repository
MaterializeInc/materialize
5
merged
1
closed
- tests: bump topic_metadata_refresh_interval_ms on some Kafka tests
- sinks,kafka: make consistency_topic optional, pick default when reuse_topic is set
- sinks,kafka: allow log compaction on the output consistency topic
- ddl,sinks: rename Kafka setting exactly_once to reuse_topic
- dataflow,sinks: continuously write out END records when updating write frontier
- Refactor sink rendering code, move closely coupled code together in one place
Reviewed 13 pull requests in 1 repository
MaterializeInc/materialize 13 pull requests
- sources,sinks: de-experimentalize RT timestamp binding persistence (AKA exactly-once sinks)
- support JSON-encoded Kafka sinks
- dataflow-types: refactor Kafka connector information
- sinks,kafka: allow log compaction on the output consistency topic
- Refactor sink rendering code, move closely coupled code together in one place
- doc: Enable topic reuse after Mz restart for Kafka sinks.
- ddl,sinks: rename Kafka setting exactly_once to reuse_topic
- interchange: refactor Avro Encoder
- Shuffle rather than consolidate source data
- dataflow,sinks: continuously write out END records when updating write frontier
- Implement SQL function left
- sinks,kafka: continuously update write frontier instead of only after commits
- dataflow,sinks: produce periodic updates for TAIL with progress=true
Created an issue in MaterializeInc/materialize that received 1 comment
Kafka sources with KEY FORMAT CSV and/or VALUE FORMAT CSV don't work
The issue that surfaces immediately is that the accounting for the number of columns seems to be off. You can use this testdrive snippet to reprodu…
1
comment