* add method to fetch block of first vals in columnar
add method to fetch block of first vals in columnar (this is way faster
than single calls for full columns)
add benchmark
fix import warnings
```
test bench_get_block_first_on_full_column ... bench: 56 ns/iter (+/- 26)
test bench_get_block_first_on_full_column_single_calls ... bench: 311 ns/iter (+/- 6)
test bench_get_block_first_on_multi_column ... bench: 378 ns/iter (+/- 15)
test bench_get_block_first_on_multi_column_single_calls ... bench: 546 ns/iter (+/- 13)
test bench_get_block_first_on_optional_column ... bench: 291 ns/iter (+/- 6)
test bench_get_block_first_on_optional_column_single_calls ... bench: 362 ns/iter (+/- 8)
```
* use remainder
* feat(aggregators/metric): Implement a top_hits aggregator
* fix: Expose get_fields
* fix: Serializer for top_hits request
Also removes extraneous the extraneous third-party
serialization helper.
* chore: Avert panick on parsing invalid top_hits query
* refactor: Allow multiple field names from aggregations
* perf: Replace binary heap with TopNComputer
* fix: Avoid comparator inversion by ComparableDoc
* fix: Rank missing field values lower than present values
* refactor: Make KeyOrder a struct
* feat: Rough attempt at docvalue_fields
* feat: Complete stab at docvalue_fields
- Rename "SearchResult*" => "Retrieval*"
- Revert Vec => HashMap for aggregation accessors.
- Split accessors for core aggregation and field retrieval.
- Resolve globbed field names in docvalue_fields retrieval.
- Handle strings/bytes and other column types with DynamicColumn
* test(unit): Add tests for top_hits aggregator
* fix: docfield_value field globbing
* test(unit): Include dynamic fields
* fix: Value -> OwnedValue
* fix: Use OwnedValue's native Null variant
* chore: Improve readability of test asserts
* chore: Remove DocAddress from top_hits result
* docs: Update aggregator doc
* revert: accidental doc test
* chore: enable time macros only for tests
* chore: Apply suggestions from review
* chore: Apply suggestions from review
* fix: Retrieve all values for fields
* test(unit): Update for multi-value retrieval
* chore: Assert term existence
* feat: Include all columns for a column name
Since a (name, type) constitutes a unique column.
* fix: Resolve json fields
Introduces a translation step to bridge the difference between
ColumnarReaders null `\0` separated json field keys to the common
`.` separated used by SegmentReader. Although, this should probably
be the default behavior for ColumnarReader's public API perhaps.
* chore: Address review on mutability
* chore: s/segment_id/segment_ordinal instances of SegmentOrdinal
* chore: Revert erroneous grammar change
* add fields_metadata to SegmentReader, add columnar docs
* use schema to resolve field, add test
* normalize paths
* merge for FieldsMetadata, add fields_metadata on Index
* Update src/core/segment_reader.rs
Co-authored-by: Paul Masurel <paul@quickwit.io>
* merge code paths
* add Hash
* move function oustide
---------
Co-authored-by: Paul Masurel <paul@quickwit.io>
* fix windows build (#1)
* Fix windows build
* Add doc traits
* Add field value iter
* Add value and serialization
* Adjust order
* Fix bug
* Correct type
* Fix generic bugs
* Reformat code
* Add generic to index writer which I forgot about
* Fix missing generics on single segment writer
* Add missing type export
* Add default methods for convenience
* Cleanup
* Fix more-like-this query to use standard types
* Update API and fix tests
* Add doc traits
* Add field value iter
* Add value and serialization
* Adjust order
* Fix bug
* Correct type
* Rebase main and fix conflicts
* Reformat code
* Merge upstream
* Fix missing generics on single segment writer
* Add missing type export
* Add default methods for convenience
* Cleanup
* Fix more-like-this query to use standard types
* Update API and fix tests
* Add tokenizer improvements from previous commits
* Add tokenizer improvements from previous commits
* Reformat
* Fix unit tests
* Fix unit tests
* Use enum in changes
* Stage changes
* Add new deserializer logic
* Add serializer integration
* Add document deserializer
* Implement new (de)serialization api for existing types
* Fix bugs and type errors
* Add helper implementations
* Fix errors
* Reformat code
* Add unit tests and some code organisation for serialization
* Add unit tests to deserializer
* Add some small docs
* Add support for deserializing serde values
* Reformat
* Fix typo
* Fix typo
* Change repr of facet
* Remove unused trait methods
* Add child value type
* Resolve comments
* Fix build
* Fix more build errors
* Fix more build errors
* Fix the tests I missed
* Fix examples
* fix numerical order, serialize PreTok Str
* fix coverage
* rename Document to TantivyDocument, rename DocumentAccess to Document
add Binary prefix to binary de/serialization
* fix coverage
---------
Co-authored-by: Pascal Seitz <pascal.seitz@gmail.com>
* Include only built-in compression algorithms as enum variants
This enables compile-time errors when a compression algorithm is requested which
is not actually enabled for the current Cargo project. The cost is that indexes
using other compression algorithms cannot even be loaded (even though they
are not fully accessible in any case).
As a drive-by, this also fixes `--no-default-features` on `cfg(unix)`.
* Provide more instructive error messages for unsupported, but not unknown compression variants.
* Do some Clippy- and Cargo-related boy-scouting.
* Add BytesFilterCollector to support filtering based on a bytes fast field
This is basically a copy of the existing FilterCollector but modified and
specialised to work on a bytes fast field.
* Changed semantics of filter collectors to consider multi-valued fields
The new fast field code, based on columnar, had a larger minimum memory
footprint, causing the first docuemnt to trigger a flush of the asegment
in this unit test.
This PR prevents the allocation of a large capacity for the different hashmap tables
using in the columnar writer.
Closes#1859
Introduce MakeZero trait, remove make_zero from FastValue
Merge two multivalue fastfield implementations into one
prepare range query on fastfield for different types
