Comments (2)
Ideally, all Kafka message metadata should be captured in a way that is searchable: topic, partition, offset, timestamp, headers
from kafka-connect-elasticsearch.
A year later and there is still no way to capture/search the most basic message metadata within ES. The only reason I wanted Kafka messages copied to ES was to search it. IMO this library is pretty much worthless.
Kafka message keys are used for partitioning and are not intended to be unique. The fact that the implementors of this connector thought they should be used as an Elasticsearch document ID shows a pretty poor understanding of both domains.
from kafka-connect-elasticsearch.
Related Issues (20)
- How to Convert JSON String field to ES Object?
- Suggestion for INSERT operation "Ignoring EXTERNAL version conflict for operation INDEX on document"
- Used Elastic Java REST client is deprecated in 7.15.0 HOT 1
- Error with `"behavior.on.null.values": "delete"`
- Consumer paused indefinitely when using `AsyncOffsetTracker` with lot of null values
- Cannot use data stream with time_series mode HOT 2
- Error: Cannot infer mapping without schema HOT 1
- Connector fails with payloads >20 MB HOT 1
- Can't create a connector even if its loaded in Strimzi
- Support requests per second configuration options
- Log when there are too many requests errors
- [BUG] `TOO_MANY_REQUESTS` error craches the tasks with a unrecoverable exceptions without retries
- Ignore 'document_parsing_exception' HOT 1
- Inconsistent Logging for Tombstone Messages in Elastic Sink Connector
- abnormal data loss question
- Data Stream naming is far too restrictive HOT 1
- Creating index based on Timestamp doesn't work
- Limit retry backoff (and unlimited retries) HOT 4
- add support for index templates other than logs and metrics as types when using data streams
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from kafka-connect-elasticsearch.