* chore: make terminology in iox_query::Provider consistent (remove super notation)
* refactor: be more specific about *which* sort key is meant
* refactor: rename another sort_key --> output_sort_key
* refactor: rename additional sort_key to output_sort_key
* refactor: rename sort_key --> chunk_sort_key
Co-authored-by: kodiakhq[bot] <49736102+kodiakhq[bot]@users.noreply.github.com>
- emit a warning if we cannot even attempt to prune chunks due to an
error. This is always either a missing feature or a bug (even though
it does not impact correctness but _only_ performance). Also see
https://github.com/influxdata/conductor/issues/1107
- change metrics to clearly differentiate between "could not prune" and
"not pruned"
- add new "not pruned" observer hook (this was missing for some reason,
the "pruned" hook existed though)
* chore: update deps to get new chrono
* chore: Run cargo hakari tasks
* chore: migrate away from deprecated API
Co-authored-by: CircleCI[bot] <circleci@influxdata.com>
* refactor: make could-not-prune reason a static string
* refactor: introduce `QuerierTableArgs`
* feat: chunk pruning metrics
Closes#4974.
* refactor: address review comments
* refactor: use static typing for not-pruned reason
* refactor: pass chunk to not-pruned observer and use it for some metrics
Co-authored-by: kodiakhq[bot] <49736102+kodiakhq[bot]@users.noreply.github.com>
This is what DataFusion uses by default and I don't see a reason why we
should use such small batch sizes.
The affect is probably only visible in certain filter-aggregate queries
that don't focus on a single series (because there we likely end up with
1 or 2 batches only, esp. after #5250) for coarse-grained filters, esp.
when the filter key is not the first sort key.
Co-authored-by: kodiakhq[bot] <49736102+kodiakhq[bot]@users.noreply.github.com>
* feat: `QueryChunk::as_any`
* feat: allo `ChunkPruner::prune_chunks` to fail
* feat: limit per-table chunk data for every query
Closes#5211.
* fix: address review comments
Co-authored-by: Andrew Lamb <andrew@nerdnetworks.org>
Co-authored-by: Andrew Lamb <andrew@nerdnetworks.org>
- remove `IOxSessionContext::default()` because untracked contexts
should only be created by tests
- remove `Option<IOxSessionContext>` because it is a typed workaround
for `IOxSessionContext::default`
Tests should use `IOxSessionContext::testing` and all _normal_ users
should create proper contexts.
I suspect this will help tracing or at least prevent silent regressions.
See #5129.
Co-authored-by: kodiakhq[bot] <49736102+kodiakhq[bot]@users.noreply.github.com>
* fix: Fix SeriesKey sort order for special _measurement and _field
* fix: Update expected test output
* fix: Update more tests
* fix: Re-sort tag key when using binary encoding
Co-authored-by: Andrew Lamb <andrew@nerdnetworks.org>
* feat: initial implementation for selecting compaction candidates
* feat: 2 catalog functions to choose the most thorughput partitions to compact and the selecting candidate function itself
* test: tests for the new 2 queries
* feat: more tests and metrics for chooing compaction candidates
* chore: Apply self suggestions from self review
* chore: cleanup
* chore: fix doc comment
* chore: Apply suggestions from code review
Co-authored-by: Carol (Nichols || Goulding) <193874+carols10cents@users.noreply.github.com>
* refactor: address review comments
* fix: get the right time provider for the tests
* refactor: remove the left over compaction_
* fix: typos
* fix: make the param name and env name consistent
* refactor: make relevant iSomething to uSomething
* fix: typo
Co-authored-by: Carol (Nichols || Goulding) <193874+carols10cents@users.noreply.github.com>
There were some instances were we forgot to pass context (and therefore
tracing) information to `InfluxRpcPlanner`. This removes the `Default`
implementation requires to always pass a context when creating
`InfluxRpcPlanner` to prevent this type of bug.
Ref #5129.
Co-authored-by: kodiakhq[bot] <49736102+kodiakhq[bot]@users.noreply.github.com>
This should help a lot once #5032 is implemented. Currently it doesn't
really make a difference.
See #5037, which also proposes a more advanced but more complex system.
The team however agreed to try something simple first.
Co-authored-by: kodiakhq[bot] <49736102+kodiakhq[bot]@users.noreply.github.com>
* refactor: remove parquet chunk ID to `ChunkMeta`
* refactor: return `Arc` from `QueryChunk::summary`
This is similar to how we handle other chunk data like schemas. This
allows a chunk to change/refine its "believe" over its own payload while
it is passed around in the query stack.
Helps w/ #5032.
* fix: optimize field columns for all-time predicates
Also fix timestamp range to allow selecting points at MAX_NANO_TIME
* fix: clamp end to MIN_NANO_TIME for safety
* refactor: add contains_all method to TimestampRange
Instead of using some hand-rolled timestamp-based logic (or just
"unknown") all over the place, just use logic introduced in #5017.
This requires slightly improved table summaries within the querier that
at least has min/max for the timestamp column. For that, the former
`IngesterChunk`-specific `calculate_summary` method was extended to
`create_basic_summary` to include that data and is now also used by
`QuerierParquetChunk`.
Note: `QuerierRBChunk` already has detailled metrics that are provided
by the read buffer implementation.
Should we ever need even better pruning for `QuerierParquetChunk` (or
`IngesterChunk`) then we _only_ need add extra data to the table
summaries.
Closes#4976.
Co-authored-by: kodiakhq[bot] <49736102+kodiakhq[bot]@users.noreply.github.com>
* docs: fix comment
* test: add test for delete behaviour
* fix: tag_keys optimization for empty predicate
Also need to eliminate 'true' predicates from simplified predicate so
is_empty works correctly.
* refactor: use lit instead of spelling out literal true
Co-authored-by: Andrew Lamb <andrew@nerdnetworks.org>
Co-authored-by: Andrew Lamb <andrew@nerdnetworks.org>
Co-authored-by: kodiakhq[bot] <49736102+kodiakhq[bot]@users.noreply.github.com>
Prior to this change background tasks that we feed into `AdapterStream`
can panic but that would just end the stream without any user-visible
error (except for the panic message on stdout/stderr).
This was found while developing #4964. I have proposed another fix in #4966
but found that I actually developed an existing solution a 2nd time:
`watch_task`. But I also see a major issue with the existing API: one
can create `AdapterStream` with ordinary tokio tasks that are not
watched at all, leaving the burden to the implementor to check for that
(and actually we forgot that in `parquet_file`).
So this change takes a slightly different approach:
The `AdapterStream` does NOT accept ordinary join handles any longer but
requires that you pass a "watched task". The newly introduced
`WatchedTask` does the same as we did manually before: wrapping a future
into a tokio task, watch it and wrap the watcher into a task.
It is now way more difficult to do anything stupid (sure you can still
mix up the tasks and the channels, but we need at least some flexibility
here to allow for "split" and potential future fan-in/out constructs).
Co-authored-by: kodiakhq[bot] <49736102+kodiakhq[bot]@users.noreply.github.com>
* chore: Update datafusion pin
* fix: Update for api
* fix: Explicitly set coalsce batch size
* fix: Update batch size as well
* fix: update tests for new explain plan, and improved coercion
* refactor: change level 1 to level 2 preparing for next design changes
* fix: make level-2 consistent everywhere
* chore: remove unused comments
* refactor: change all the name level_1 to level_2 to completely replace 1 with 2 to amke everything consistent
* chore: add correspinding constants for the comapction levels in the comments
Co-authored-by: Dom <dom@itsallbroken.com>
* refactor: simplify sort key calculation
* refactor: use schema from catalog instead from file
* refactor: do not request parquet file MD in compactor
* test: ensure that `QueryableParquetChunk` works correctly
* feat: split times of compacting results based on the max file size
* feat: cosider max file size while computing split time
* test: tests for comput_split_time
* feat: first step to teach the function split_the_steam to know how to split data into n streams using n-1 input PhysicalExprs
* feat: make StreamSplitNode support a list of expression
* docs: explain how StreamSplitNode works
* feat: Teach compute_split_time to split a time range into many contiguous ranges and split compacted result into multiple non-overlapped files based on the config comapction_max_size_bytes
* chore: cleanup
* chore: clean up doc
* chore: address review comments
Co-authored-by: kodiakhq[bot] <49736102+kodiakhq[bot]@users.noreply.github.com>
* chore: TEMP Update DataFusion to pre-release
* chore: update arrow et al to 16.0.0
* chore: Run cargo hakari tasks
* fix: update reader read_dictionary API
* chore: Update to real Datafusion release
* fix: Update parquet API
* fix: update test
Co-authored-by: CircleCI[bot] <circleci@influxdata.com>
* feat: Change data type of catalog Postgres partition's sort_key from a string to an array of string
* test: add column with comma
* fix: use new protonuf field to avoid incompactible
* fix: ensure sort_key is an empty array rather than NULL
* refactor: address review comments
* refactor: address more comments
* chore: clearer comments
* chore: Update iox_catalog/migrations/20220607102200_change_sort_key_type_to_array.sql
* chore: Update iox_catalog/migrations/20220607102200_change_sort_key_type_to_array.sql
* fix: Rename migration so it will be applied after
Co-authored-by: Marko Mikulicic <mkm@influxdata.com>
Carol (Nichols || Goulding)
Marco Neumann
Andrew Lamb
Nga Tran
Marko Mikulicic
dependabot[bot]
Sam Arnold
Sam Arnold