Temporarily disable full compaction from level 1 to 2.
Re-use the memory budget estimation and parallelization for cold
compaction. Rather than choosing cold compaction candidates and then in
parallel compacting each partition from level 0 to 1 and then 1 to 2,
this commit switches to compacting in parallel (by memory budget) all
candidates form level 0 to 1. The next commit will re-enable full
compaction of all partitions in parallel (by memory budget).
Which is currently the only step, compacting any remaining level 0 files
into level 1. Make a TODO function for performing full compaction of all
level 1 files next.
In our data model, a chunk always belongs to a partition[^1], so let's
not make this attribute optional. The optional value only leads to
-- mostly surprising -- conditional behavior, ranging from "do not equalize
the partition sort key" (querier) to "always consider the chunk overlapping"
(iox_query when dealing with ingester chunks).
[^1]: This is even true when the chunk belongs to a parquet file that is not
yet added to the catalog, contrary to what a comment in the ingester
stated. The catalog and data model used by the querier are two totally
different things.
I'm spending way too long with the wrong number of arguments to
CompactorConfig::new and not a lot of help from the compiler. If these
struct fields are pub, they can be set directly and destructured, etc,
which the compiler gives way more help on. This also reduces duplication
and boilerplate that has to be updated when the config fields change.
Remove our own hand-rolled logic and let DataFusion read the parquet
files.
As a bonus, this now supports predicate pushdown to the deserialization
step, so we can use parquets as in in-mem buffer.
Note that this currently uses some "nested" DataFusion hack due to the
way the `QueryChunk` interface works. Midterm I'll change the interface
so that the `ParquetExec` nodes are directly visible to DataFusion
instead of some opaque `SendableRecordBatchStream`.
* refactor: do not override parquet file size in querier
This is going to be an issue when we actually rely on the size for
reading, see #5531.
* refactor: use selected file size mocking in compactor
Do not blindly override parquet file sizes for all subsystems.
This is going to be an issue when we actually rely on the size for
reading, see #5531.
* refactor: remove ability to override file sizes in catalog
Blindly overriding data for all subsystems is dangerous, because some
parts of our stack actually rely on the actual file size. See #5531.
* docs: explain `size_overrides`
* feat: make compactors to select candidates based on the last n minutes to reduce workload for postgres catalog query
* refactor: remove 1-minute case per review comment