24 Commits (ab0c7b2b9d3661ba790c38350f972818f0144185)

Author	SHA1	Message	Date
Robert Fratto	40057f5ce2	chore(dataobj): permit reading subset of section metadata (#18815) ... Signed-off-by: Robert Fratto <robertfratto@gmail.com>	10 months ago
Robert Fratto	d4b027ae0c	chore(dataobj): return Object on Builder.Flush (#18622)	10 months ago
Robert Fratto	9129d8cdd0	chore(engine): use columnar logs.Reader for DataObjScan (#18577)	10 months ago
Robert Fratto	061d1c1d22	chore(dataobj): make copy of pages from downloaded window (#18566)	10 months ago
Ashwanth	da4e59f8c6	chore(dataobj): store sort order information in section metadata (#18499)	10 months ago
benclive	41d93f8a86	fix: Fix empty streamIDs in multi-section index objects (#18556)	10 months ago
benclive	f075da4f94	chore: Use correct TimeRange predicate for indexpointers (#18529)	10 months ago
benclive	077e4196ef	chore: Add indexes to LogQL benchmarks (#18500)	11 months ago
Robert Fratto	86c57c8616	chore: consistently use new labels.Labels API (#18490)	11 months ago
benclive	517c317c97	chore: Integrate indexes with the new query engine (#18427)	11 months ago
benclive	d0a3cd86a7	chore: Remove lookback from stats in unsupported sections (#18489)	11 months ago
Periklis Tsirakidis	bcf24e4cfb	chore(dataobj): Use indexpointer sections in metastore reads and writes (#18448)	11 months ago
Periklis Tsirakidis	6eedcaaded	chore(dataobj): Add new index pointers section type (#18441)	11 months ago
benclive	1f0edcd4ac	feat: Initial index-builder implementation (#18297)	11 months ago
Christian Haudum	d9f7d785ff	chore(engine): Sort entries in dataobj sections by timestamp descending (#18367) ... Sorting sections by `timestamp DESC` first and `streamID ASC` second allows for more efficient reading (by section) for BACKWARD log queries. - This change breaks FORWARD log queries. Which is ok for the time being. We will add support later again when columnar reading of the dataobj is introduced. - This change renders existing dataobj in storage incompatible. Signed-off-by: Christian Haudum <christian.haudum@gmail.com>	11 months ago
benclive	f66781d426	fix: Row reader with no stream ID predicates (#18368)	11 months ago
Robert Fratto	26cb50e65a	chore(dataobj): Improve performance of dataset.Value API (#18339) ... Co-authored-by: Ashwanth <iamashwanth@gmail.com>	11 months ago
benclive	a238816751	perf: Use map for InPredicate when reading dataobj (#18325)	11 months ago
Robert Fratto	9c3d86be52	chore(dataobj): cut logs section based on uncompressed size (#18329)	11 months ago
Robert Fratto	30ccf5172c	chore(util/arrowtest): export arrowtest package (#18255)	11 months ago
benclive	9642af3ac6	chore: Add new pointers section type for dataobj (#18243)	11 months ago
Robert Fratto	06cf52757b	chore(dataobj): Add columnar reading APIs to logs and streams sections (#17976) ... This PR introduces columnar reading APIs to both the logs and streams sections. As part of this change, both sections now expose the columns stored in the section, which are then used to define predicates on the readers. The columnar reading APIs emit a sequence of `arrow.Record`s, where each record has no more than the batch size passed to the `Reader.Read` method. Unlike the original row-based readers, the columnar readers: * Allow reading a subset of columns * Have column-based predicates that map literally to the new query engine To be able to represent a column's value for use in predicates, we import [github.com/apache/arrow-go/v18/arrow/scalar](https://pkg.go.dev/github.com/apache/arrow-go/v18@v18.3.0/arrow/scalar). Section Reader implementations perform mapping to and from the internal `dataset.Value`. The implementation of `logs.Reader` is almost an identical copy of the `streams.Reader` implementation. I've opted for duplicating the implementation in the short term, since there's no obvious way for how to deduplicate it in a way keeps the package structure easy to understand. We can change this in the future if a clean and simple approach presents itself. This PR does not yet update `DataObjScan` to make use of these new APIs; that's being left out of scope for another PR to handle.	12 months ago
Robert Fratto	36bcb5aa2d	chore(dataobj): fix regression in allocations of row readers (#17784)	1 year ago
Robert Fratto	a237444f0d	refactor(dataobj): invert dependency between dataobj and sections (#17762) ... Originally, the dataobj package was a higher-level API around sections. This design caused it to become a bottleneck: * Implementing any new public behaviour for a section required bubbling it up to the dataobj API for it to be exposed, making it tedious to add new sections or update existing ones. * The `dataobj.Builder` pattern was focused on constructing dataobjs for storing log data, which will cause friction as we build objects around other use cases. This PR builds on top of the foundation laid out by #17704 and #17708, fully inverting the dependency between dataobj and sections: * The `dataobj` package has no knowledge of what sections exist, and can now be used for writing and reading generic sections. Section packages now create higher-level APIs around the abstractions provided by `dataobj`. * Section packages are now public, and callers interact directly with these packages for writing and reading section-specific data. * All logic for a section (encoding, decoding, buffering, reading) is now fully self-contained inside the section package. Previously, the implementation of each section was spread across three packages (`pkg/dataobj/internal/encoding`, `pkg/dataobj/internal/sections/SECTION`, `pkg/dataobj`). * Cutting a section is now a decision made by the caller rather than the section implementation. Previously, the logs section builder would create multiple sections. For the most part, this change is a no-op, with two exceptions: 1. Section cutting is now performed by the caller; however, this shouldn't result in any issues. 2. Removing the high-level `dataobj.Stream` and `dataobj.Record` types will temporarily reduce the allocation gains from #16988. I will address this after this PR is merged.	1 year ago