Adds Quixlake Timeseries destination connector #657
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This commit introduces a new destination connector that writes time-series data from Kafka to S3 as Hive-partitioned Parquet files. Key features: - Supports Hive partitioning by any column, including time-based partitioning from timestamp columns. - Offers optional integration with a REST Catalog for table registration. - Includes configurable batch sizes and parallel uploads for optimal performance. - Validates partition strategies against existing tables to prevent data corruption.
Updates the library item ID to be more descriptive of the destination.
Refactors test configurations for Quixlake Timeseries and S3 File destinations. Updates test parameters such as batch sizes, commit intervals, worker counts, and message counts to optimize test execution time and reliability. Adds `mypy-boto3-s3` dependency to s3-file destination. Renames "Quix TS Datalake Sink" to "Quix DataLake Timeseries Sink" for clarity.
peter-quix
reviewed
Nov 21, 2025
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| ## How to run | ||
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| Create a [Quix](https://portal.platform.quix.io/signup?xlink=github) account or log in and visit the `Connectors` tab to use this connector. |
peter-quix
approved these changes
Nov 21, 2025
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This commit introduces a new destination connector that writes time-series data from Kafka to S3 as Hive-partitioned Parquet files.
Key features: