* refactor: simplify `QueryChunk` data access
We have only two types for chunks (now that the RUB is gone):
1. In-memory RecordBatches
2. Parquet files
Loads of logic is duplicated in the different `read_filter`
implementations. Also `read_filter` hides a solid amount of logic from
DataFusion, which will prevent certain (future) optimizations. To enable #5897
and to simplify the interface, let the chunks return the data (batches
or metadata for parquet files) directly and let `iox_query` perform the
actual heavy-lifting.
* docs: improve
Co-authored-by: Andrew Lamb <alamb@influxdata.com>
* docs: improve
Co-authored-by: Andrew Lamb <alamb@influxdata.com>
Co-authored-by: Andrew Lamb <alamb@influxdata.com>
Co-authored-by: kodiakhq[bot] <49736102+kodiakhq[bot]@users.noreply.github.com>
With #5963 merged, all chunks now provide a summary (even though it may
not contain data for all columns). So let's make it mandatory, which
also removes a few 🙈-style `.except(...)` calls.
Co-authored-by: kodiakhq[bot] <49736102+kodiakhq[bot]@users.noreply.github.com>
Use the table summary instead. This allows us to have a single mechanism
that both IOx and DataFusion understand. This basically lifts the "basic
table summary" mechanism that the querier uses to `iox_query` and let
the compactor and ingester use the same mechanism.
While not strictly necessary, simplifying the `QueryChunk[Meta]`
interface helps with #5897.
Co-authored-by: kodiakhq[bot] <49736102+kodiakhq[bot]@users.noreply.github.com>
We basically assume everywhere that a column falls into one of the three
known categories (time, tag, field), so lets encode this in our type
system instead of defining "unknown" as "undefined behavior, may or may
not crash".
Co-authored-by: kodiakhq[bot] <49736102+kodiakhq[bot]@users.noreply.github.com>
Use the proper top-level DataFusion context and register the object
store there.
Note that we still hide the `ParquetExec` behind an opaque record batch
stream. Fixing that is next on my list.
Helps with #5897.
Co-authored-by: kodiakhq[bot] <49736102+kodiakhq[bot]@users.noreply.github.com>
* feat: rework cache refresh logic
Instead of issuing a single refresh when a GET request for a cached key
comes in, start a background job (using some efficient logic to not
overload tokio) per key that refreshes the key using some exponential
backoff. The timer is reset a new GET request comes in. This has the
following advantages:
- our backoff logic decorrelates the requests
- the longer a key was not used, the less often it will be updated
All test (esp. integration tests) as adjusted accordingly, mostly to
account for the fact that no extra GET is required to start the refresh
timer.
Closes#5720.
* docs: improve
Co-authored-by: Andrew Lamb <alamb@influxdata.com>
* refactor: simplify rng overwrite
Co-authored-by: Andrew Lamb <alamb@influxdata.com>
* feat: query only from parquet
* Revert "feat: query only from parquet"
This reverts commit 5ce3c3449c0b9c90154c8c6ece4a40a9c083b7ba.
* Revert "revert: disable read buffer usage in querier (#5579) (#5603)"
This reverts commit df5ef875b4.
Co-authored-by: kodiakhq[bot] <49736102+kodiakhq[bot]@users.noreply.github.com>
This commit removes tombstone support from the ingester, and deletes
associated code/helpers/tests. This commit does NOT remove tombstone
support from any other service, but MAY include removing overlapping
test coverage.
This also removes the tombstone support from the Ingester -> Querier RPC
response message.
This has the nice side effect of removing a whole lot of thread spawning
in the ingester tests for the Executor, speeding everything up!
* feat: initial step to identify where the projection should be provided
* feat: start getting columns of all expressions
* chore: format
* test: test for the table_chunk_stream
* fix: fix a compile error. Thanks @alamb
* test: full tests for table_chunk_stream
* chore: cleanup
* fix: do not cut any columns in case all fields are needed
* test: add one more test case of reading all columns
* refactor: move code that identify columbs ot push down to a function. Add the use of field_columns
* chore: cleanup
* refactor: make sream_from_batch support empty batches
* chore: cleanup
* chore: fix clippy after auto merge
Co-authored-by: kodiakhq[bot] <49736102+kodiakhq[bot]@users.noreply.github.com>
- treat OOM protection as "resource exhausted"
- use `DataFusionError` in more places instead of opaque `Box<dyn Error>`
- improve conversion from/into `DataFusionError` to preserve more
semantics
Overall, this improves our error handling. DF can now return errors like
"resource exhausted" and gRPC should now automatically generate a
sensible status code for it.
Fixes#5799.
* feat: send only needed projection columns from querier to ingester in case of normal SQL queries
* refactor: push column index down until we need to convert them strings
* fix: make the test deterministic
* test: test for the projection pushdown
* test: add asserts for the proj pushdown test
* test: implement projection pushdown for partitions of MockIngesterConnection
* chore: cleanup
* chore: address review comments
* chore: Apply suggestions from code review
Co-authored-by: Andrew Lamb <andrew@nerdnetworks.org>
* refactor: address review comments
Co-authored-by: Andrew Lamb <andrew@nerdnetworks.org>
Co-authored-by: kodiakhq[bot] <49736102+kodiakhq[bot]@users.noreply.github.com>
* chore: Upgrade to Rust 1.64
* fix: Use iter find instead of a for loop, thanks clippy
* fix: Remove some needless borrows, thanks clippy
* fix: Use then_some rather than then with a closure, thanks clippy
* fix: Use iter retain rather than filter collect, thanks clippy
Co-authored-by: kodiakhq[bot] <49736102+kodiakhq[bot]@users.noreply.github.com>
* refactor: do not run de-dup in ingester for querier requests
This removes the entire de-dup logic from the inegster for querier
requests. Furthermore, it even removes the entire datafusion execution
from the querier and just dumps the in-memory record batches as quickly
as possible. No filters are applied. Note that even prior to this PR,
we've never applied projections (tracked by #5624).
**Pros:**
- speed up query planning within the querier (since we need the ingester
response for state reconciling)
- lowered ingester CPU load
**Cons:**
- more querier<>ingester network traffic
Closes#5602.
* test: extend query test case
* fix: ingester tests
Co-authored-by: kodiakhq[bot] <49736102+kodiakhq[bot]@users.noreply.github.com>
* refactor: arc the cached table
* refactor: use cheaper hash keys for projected schemas
Instead of using the column names to address projected schemas, let's
use the column IDs.
Co-authored-by: kodiakhq[bot] <49736102+kodiakhq[bot]@users.noreply.github.com>
* fix: retry ingester requests faster
The retries introduced in #5695 are too slow and block the entire
querier for minutes (until the very long gRPC timeout kicks in).
* fix: add error details on why the query planning failed
Co-authored-by: kodiakhq[bot] <49736102+kodiakhq[bot]@users.noreply.github.com>
* refactor: retry querier->ingester requests
Esp. for InfluxRPC requests that scan multiple tables, it may be that
one ingester requests fails. We shall retry that request instead of
failing the entire query.
* refactor: improve docs
Co-authored-by: Andrew Lamb <andrew@nerdnetworks.org>
* fix: less foo
* docs: remove outdated TODO
* test: assert that panic happened
Co-authored-by: Andrew Lamb <andrew@nerdnetworks.org>
* refactor: improve consistent access under "remove if"
With all the concurrency introduced in #5668, we should be a bit more
careful with our "remove if" handling, esp. if a removal is triggered
while a load is running concurrently. This change introduces as
`remove_if_and_get` helper that ensures this and the querier over to use
it. The parquet file and tombstone caches required a bit of a larger
change because there the invalidation and the actual GET were kinda
separate. We had this separation for the other caches as well at some
point and decided that this easily leads to API misuse, so I took this
opportunity to "fix" the parquet file and tombstone cache as well.
* docs: improve
* feat: split "pruned" metric into "early" and "late"
* docs: improve
Co-authored-by: Andrew Lamb <andrew@nerdnetworks.org>
* docs: explain `PruningMetrics`
* test: try to test pruning
Co-authored-by: Andrew Lamb <andrew@nerdnetworks.org>
Create chunks in querier concurrently after we've pre-filtered them.
Chunk creation still may require a bit of cached information (e.g. the
partition sort key) and we can easily fetch these concurrently instead
of in order.
Co-authored-by: kodiakhq[bot] <49736102+kodiakhq[bot]@users.noreply.github.com>
This should lower catalog load and eliminate a few costly cache misses.
Co-authored-by: kodiakhq[bot] <49736102+kodiakhq[bot]@users.noreply.github.com>
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.
* refactor: read querier parquet files from cache
* refactor: only use parquet files in querier (no RB)
Co-authored-by: kodiakhq[bot] <49736102+kodiakhq[bot]@users.noreply.github.com>