6 Commits (3e415aca3d904fa6fa3cbedfdc7a2bdfd7fb6d41)

Author	SHA1	Message	Date
Christian Haudum	a3017f2b13	chore(dataobj-consumer): Sort logs object-wide (#19231) ... Sorting logs globally (object-wide per tenant) removes overlapping time ranges of sections in the objects. Sections contain logs from multiple streams, and the ingest lag of streams may vary. This means that although logs of individual sections are sorted by timestamp, the overall sorting of logs is not guaranteed. Therefore sections are sorted with a k-way merge (SortMerge), which does over-query data in case the query would reach its result limit early. Signed-off-by: Christian Haudum <christian.haudum@gmail.com>	4 months ago
Robert Fratto	595715146f	chore(dataobj)!: introduce new centralized dataset encoding format (#18871) ... Signed-off-by: Robert Fratto <robertfratto@gmail.com>	5 months ago
Robert Fratto	c5ac922e55	chore(dataobj): Use pooled buffers when decoding pages (#17955)	7 months ago
benclive	e5784d7a82	perf: Reuse Values in dataobj.Reader to reduce allocs (#16988) ... Co-authored-by: Robert Fratto <robertfratto@gmail.com>	9 months ago
Robert Fratto	9be95a3e8c	chore(dataobj): reduce memory overhead of merging logs stripes (#16833)	10 months ago
Robert Fratto	7f0dc01e21	chore(dataobj): introduce more efficient dataset reading (#16429) ... This commit introduces a new API, dataset.Reader, which scans through values in datasets more efficiently than dataset.Iter. As a result, dataset.Iter has been removed in favour of the new Reader. dataset.Reader is more efficient than dataset.Iter because: - It avoids using iter.Pull; the number of values flowing through coroutines added a significant amount of CPU overhead. - It supports efficient uses of predicates, where non-predicate columns are only loaded after finding matching rows from predicate columns; this avoids loading unnecessary pages. - It adds initial support for bulk page downloading, so that we need fewer roundtrips to object storage when iterating over a dataset. (This is not fully implemented yet; see below). - Early performance benchmarks see a ~3.4x speed improvement over reading 7GB of uncompressed logs, going from 192 MB/s (with dataset.Iter) to 652 MB/s (with dataset.Reader). This commit is truly massive, and to avoid it getting any larger, I'm leaving some follow up work to additional commits: - Updating dataobj.LogsReader and dataobj.StreamsReader to use the new API. - Adding support for downloading pages in batches; dataset.Reader will request multiple pages at once, but our decoder still unwraps that into several GET requests to object storage. Signed-off-by: Robert Fratto <robertfratto@gmail.com> Co-authored-by: Cyril Tovena <cyril.tovena@gmail.com>	11 months ago