* Documentation for time-series geo_line
* Fix incorrect ids in geoline docs
* Some updates from review
Added image of kibana map, improved first example, linked to TSDS and added section on line simplification with link to wikipedia.
* Diagrams of truncation versus simplification
* Initial import for TDigest forking.
* Fix MedianTest.
More work needed for TDigestPercentile*Tests and the TDigestTest (and
the rest of the tests) in the tdigest lib to pass.
* Fix Dist.
* Fix AVLTreeDigest.quantile to match Dist for uniform centroids.
* Update docs/changelog/96086.yaml
* Fix `MergingDigest.quantile` to match `Dist` on uniform distribution.
* Add merging to TDigestState.hashCode and .equals.
Remove wrong asserts from tests and MergingDigest.
* Fix style violations for tdigest library.
* Fix typo.
* Fix more style violations.
* Fix more style violations.
* Fix remaining style violations in tdigest library.
* Update results in docs based on the forked tdigest.
* Fix YAML tests in aggs module.
* Fix YAML tests in x-pack/plugin.
* Skip failing V7 compat tests in modules/aggregations.
* Fix TDigest library unittests.
Remove redundant serializing interfaces from the library.
* Remove YAML test versions for older releases.
These tests don't address compatibility issues in mixed cluster tests as
the latter contain a mix of older and newer nodes, so the output depends
on which node is picked as a data node since the forked TDigest library
is not backwards compatible (produces slightly different results).
* Fix test failures in docs and mixed cluster.
* Reduce buffer sizes in MergingDigest to avoid oom.
* Exclude more failing V7 compatibility tests.
* Update results for JdbcCsvSpecIT tests.
* Update results for JdbcDocCsvSpecIT tests.
* Revert unrelated change.
* More test fixes.
* Use version skips instead of blacklisting in mixed cluster tests.
* Switch TDigestState back to AVLTreeDigest.
* Update docs and tests with AVLTreeDigest output.
* Update flaky test.
* Remove dead code, esp around tracking of incoming data.
* Update docs/changelog/96086.yaml
* Delete docs/changelog/96086.yaml
* Remove explicit compression calls.
This was added to prevent concurrency tests from failing, but it leads
to reduces precision. Submit this to see if the concurrency tests are
still failing.
* Revert "Remove explicit compression calls."
This reverts commit 5352c96f65.
* Remove explicit compression calls to MedianAbsoluteDeviation input.
* Add unittests for AVL and merging digest accuracy.
* Fix spotless violations.
* Delete redundant tests and benchmarks.
* Fix spotless violation.
* Use the old implementation of AVLTreeDigest.
The latest library version is 50% slower and less accurate, as verified
by ComparisonTests.
* Update docs with latest percentile results.
* Update docs with latest percentile results.
* Remove repeated compression calls.
* Update more percentile results.
* Use approximate percentile values in integration tests.
This helps with mixed cluster tests, where some of the tests where
blocked.
* Fix expected percentile value in test.
* Revert in-place node updates in AVL tree.
Update quantile calculations between centroids and min/max values to
match v.3.2.
* Add SortingDigest and HybridDigest.
The SortingDigest tracks all samples in an ArrayList that
gets sorted for quantile calculations. This approach
provides perfectly accurate results and is the most
efficient implementation for up to millions of samples,
at the cost of bloated memory footprint.
The HybridDigest uses a SortingDigest for small sample
populations, then switches to a MergingDigest. This
approach combines to the best performance and results for
small sample counts with very good performance and
acceptable accuracy for effectively unbounded sample
counts.
* Remove deps to the 3.2 library.
* Remove unused licenses for tdigest.
* Revert changes for SortingDigest and HybridDigest.
These will be submitted in a follow-up PR for enabling MergingDigest.
* Remove unused Histogram classes and unit tests.
Delete dead and commented out code, make the remaining tests run
reasonably fast. Remove unused annotations, esp. SuppressWarnings.
* Remove Comparison class, not used.
* Revert "Revert changes for SortingDigest and HybridDigest."
This reverts commit 2336b11598.
* Use HybridDigest as default tdigest implementation
Add SortingDigest as a simple structure for percentile calculations that
tracks all data points in a sorted array. This is a fast and perfectly
accurate solution that leads to bloated memory allocation.
Add HybridDigest that uses SortingDigest for small sample counts, then
switches to MergingDigest. This approach delivers extreme
performance and accuracy for small populations while scaling
indefinitely and maintaining acceptable performance and accuracy with
constant memory allocation (15kB by default).
Provide knobs to switch back to AVLTreeDigest, either per query or
through ClusterSettings.
* Small fixes.
* Add javadoc and tests.
* Add javadoc and tests.
* Remove special logic for singletons in the boundaries.
While this helps with the case where the digest contains only
singletons (perfect accuracy), it has a major issue problem
(non-monotonic quantile function) when the first singleton is followed
by a non-singleton centroid. It's preferable to revert to the old
version from 3.2; inaccuracies in a singleton-only digest should be
mitigated by using a sorted array for small sample counts.
* Revert changes to expected values in tests.
This is due to restoring quantile functions to match head.
* Revert changes to expected values in tests.
This is due to restoring quantile functions to match head.
* Tentatively restore percentile rank expected results.
* Use cdf version from 3.2
Update Dist.cdf to use interpolation, use the same cdf
version in AVLTreeDigest and MergingDigest.
* Revert "Tentatively restore percentile rank expected results."
This reverts commit 7718dbba59.
* Revert remaining changes compared to main.
* Revert excluded V7 compat tests.
* Exclude V7 compat tests still failing.
* Exclude V7 compat tests still failing.
* Remove ClusterSettings tentatively.
* Initial import for TDigest forking.
* Fix MedianTest.
More work needed for TDigestPercentile*Tests and the TDigestTest (and
the rest of the tests) in the tdigest lib to pass.
* Fix Dist.
* Fix AVLTreeDigest.quantile to match Dist for uniform centroids.
* Update docs/changelog/96086.yaml
* Fix `MergingDigest.quantile` to match `Dist` on uniform distribution.
* Add merging to TDigestState.hashCode and .equals.
Remove wrong asserts from tests and MergingDigest.
* Fix style violations for tdigest library.
* Fix typo.
* Fix more style violations.
* Fix more style violations.
* Fix remaining style violations in tdigest library.
* Update results in docs based on the forked tdigest.
* Fix YAML tests in aggs module.
* Fix YAML tests in x-pack/plugin.
* Skip failing V7 compat tests in modules/aggregations.
* Fix TDigest library unittests.
Remove redundant serializing interfaces from the library.
* Remove YAML test versions for older releases.
These tests don't address compatibility issues in mixed cluster tests as
the latter contain a mix of older and newer nodes, so the output depends
on which node is picked as a data node since the forked TDigest library
is not backwards compatible (produces slightly different results).
* Fix test failures in docs and mixed cluster.
* Reduce buffer sizes in MergingDigest to avoid oom.
* Exclude more failing V7 compatibility tests.
* Update results for JdbcCsvSpecIT tests.
* Update results for JdbcDocCsvSpecIT tests.
* Revert unrelated change.
* More test fixes.
* Use version skips instead of blacklisting in mixed cluster tests.
* Switch TDigestState back to AVLTreeDigest.
* Update docs and tests with AVLTreeDigest output.
* Update flaky test.
* Remove dead code, esp around tracking of incoming data.
* Remove explicit compression calls.
This was added to prevent concurrency tests from failing, but it leads
to reduces precision. Submit this to see if the concurrency tests are
still failing.
* Update docs/changelog/96086.yaml
* Delete docs/changelog/96086.yaml
* Revert "Remove explicit compression calls."
This reverts commit 5352c96f65.
* Remove explicit compression calls to MedianAbsoluteDeviation input.
* Add unittests for AVL and merging digest accuracy.
* Fix spotless violations.
* Delete redundant tests and benchmarks.
* Fix spotless violation.
* Use the old implementation of AVLTreeDigest.
The latest library version is 50% slower and less accurate, as verified
by ComparisonTests.
* Update docs with latest percentile results.
* Update docs with latest percentile results.
* Remove repeated compression calls.
* Update more percentile results.
* Use approximate percentile values in integration tests.
This helps with mixed cluster tests, where some of the tests where
blocked.
* Fix expected percentile value in test.
* Revert in-place node updates in AVL tree.
Update quantile calculations between centroids and min/max values to
match v.3.2.
* Add SortingDigest and HybridDigest.
The SortingDigest tracks all samples in an ArrayList that
gets sorted for quantile calculations. This approach
provides perfectly accurate results and is the most
efficient implementation for up to millions of samples,
at the cost of bloated memory footprint.
The HybridDigest uses a SortingDigest for small sample
populations, then switches to a MergingDigest. This
approach combines to the best performance and results for
small sample counts with very good performance and
acceptable accuracy for effectively unbounded sample
counts.
* Remove deps to the 3.2 library.
* Remove unused licenses for tdigest.
* Revert changes for SortingDigest and HybridDigest.
These will be submitted in a follow-up PR for enabling MergingDigest.
* Remove unused Histogram classes and unit tests.
Delete dead and commented out code, make the remaining tests run
reasonably fast. Remove unused annotations, esp. SuppressWarnings.
* Remove Comparison class, not used.
* Revert "Revert changes for SortingDigest and HybridDigest."
This reverts commit 2336b11598.
* Use HybridDigest as default tdigest implementation
Add SortingDigest as a simple structure for percentile calculations that
tracks all data points in a sorted array. This is a fast and perfectly
accurate solution that leads to bloated memory allocation.
Add HybridDigest that uses SortingDigest for small sample counts, then
switches to MergingDigest. This approach delivers extreme
performance and accuracy for small populations while scaling
indefinitely and maintaining acceptable performance and accuracy with
constant memory allocation (15kB by default).
Provide knobs to switch back to AVLTreeDigest, either per query or
through ClusterSettings.
* Add javadoc and tests.
* Remove ClusterSettings tentatively.
* Restore bySize function in TDigest and subclasses.
* Update Dist.cdf to match the rest.
Update tests.
* Revert outdated test changes.
* Revert outdated changes.
* Small fixes.
* Update docs/changelog/96794.yaml
* TDigestState uses MergingDigest by default.
* Make HybridDigest the default implementation.
* Update boxplot documentation.
* Use HybridDigest for real.
* Restore AVLTreeDigest as the default in TDigestState.
TDigest.createHybridDigest nw returns the right type.
The switch in TDigestState will happen in a separate PR
as it requires many test updates.
* Use execution_hint in tdigest spec.
* Restore expected test values.
* Fix Dist.cdf for empty digest.
* Bump up TransportVersion.
* More test updates.
* Bump up TransportVersion for real.
* Restore V7 compat blacklisting.
* HybridDigest uses its final implementation during deserialization.
* Restore the right TransportVersion in TDigestState.read
* More test fixes.
* More test updates.
* Use TDigestExecutionHint instead of strings.
* Add link to TDigest javadoc.
* Spotless fix.
* Small fixes.
* Bump up TransportVersion.
* Bump up the TransportVersion, again.
* Update docs/changelog/96904.yaml
* Delete 96794.yaml
Delete existing changelog to get a new one.
* Restore previous changelog.
* Rename 96794.yaml to 96794.yaml
* Update breaking change notes in changelog.
* Remove mapping value from changelog.
* Set a valid breaking area.
* Use HybridDigest as default TDigest impl.
* Update docs/changelog/96904.yaml
* Use TDigestExecutionHint in MedianAbsoluteDeviationAggregator.
* Update changelog and comment in blacklisted V7 compat tests.
* Update breaking area in changelog.
* Initial import for TDigest forking.
* Fix MedianTest.
More work needed for TDigestPercentile*Tests and the TDigestTest (and
the rest of the tests) in the tdigest lib to pass.
* Fix Dist.
* Fix AVLTreeDigest.quantile to match Dist for uniform centroids.
* Update docs/changelog/96086.yaml
* Fix `MergingDigest.quantile` to match `Dist` on uniform distribution.
* Add merging to TDigestState.hashCode and .equals.
Remove wrong asserts from tests and MergingDigest.
* Fix style violations for tdigest library.
* Fix typo.
* Fix more style violations.
* Fix more style violations.
* Fix remaining style violations in tdigest library.
* Update results in docs based on the forked tdigest.
* Fix YAML tests in aggs module.
* Fix YAML tests in x-pack/plugin.
* Skip failing V7 compat tests in modules/aggregations.
* Fix TDigest library unittests.
Remove redundant serializing interfaces from the library.
* Remove YAML test versions for older releases.
These tests don't address compatibility issues in mixed cluster tests as
the latter contain a mix of older and newer nodes, so the output depends
on which node is picked as a data node since the forked TDigest library
is not backwards compatible (produces slightly different results).
* Fix test failures in docs and mixed cluster.
* Reduce buffer sizes in MergingDigest to avoid oom.
* Exclude more failing V7 compatibility tests.
* Update results for JdbcCsvSpecIT tests.
* Update results for JdbcDocCsvSpecIT tests.
* Revert unrelated change.
* More test fixes.
* Use version skips instead of blacklisting in mixed cluster tests.
* Switch TDigestState back to AVLTreeDigest.
* Update docs and tests with AVLTreeDigest output.
* Update flaky test.
* Remove dead code, esp around tracking of incoming data.
* Update docs/changelog/96086.yaml
* Delete docs/changelog/96086.yaml
* Remove explicit compression calls.
This was added to prevent concurrency tests from failing, but it leads
to reduces precision. Submit this to see if the concurrency tests are
still failing.
* Revert "Remove explicit compression calls."
This reverts commit 5352c96f65.
* Remove explicit compression calls to MedianAbsoluteDeviation input.
* Add unittests for AVL and merging digest accuracy.
* Fix spotless violations.
* Delete redundant tests and benchmarks.
* Fix spotless violation.
* Use the old implementation of AVLTreeDigest.
The latest library version is 50% slower and less accurate, as verified
by ComparisonTests.
* Update docs with latest percentile results.
* Update docs with latest percentile results.
* Remove repeated compression calls.
* Update more percentile results.
* Use approximate percentile values in integration tests.
This helps with mixed cluster tests, where some of the tests where
blocked.
* Fix expected percentile value in test.
* Revert in-place node updates in AVL tree.
Update quantile calculations between centroids and min/max values to
match v.3.2.
* Add SortingDigest and HybridDigest.
The SortingDigest tracks all samples in an ArrayList that
gets sorted for quantile calculations. This approach
provides perfectly accurate results and is the most
efficient implementation for up to millions of samples,
at the cost of bloated memory footprint.
The HybridDigest uses a SortingDigest for small sample
populations, then switches to a MergingDigest. This
approach combines to the best performance and results for
small sample counts with very good performance and
acceptable accuracy for effectively unbounded sample
counts.
* Remove deps to the 3.2 library.
* Remove unused licenses for tdigest.
* Revert changes for SortingDigest and HybridDigest.
These will be submitted in a follow-up PR for enabling MergingDigest.
* Remove unused Histogram classes and unit tests.
Delete dead and commented out code, make the remaining tests run
reasonably fast. Remove unused annotations, esp. SuppressWarnings.
* Remove Comparison class, not used.
* Revert "Revert changes for SortingDigest and HybridDigest."
This reverts commit 2336b11598.
* Use HybridDigest as default tdigest implementation
Add SortingDigest as a simple structure for percentile calculations that
tracks all data points in a sorted array. This is a fast and perfectly
accurate solution that leads to bloated memory allocation.
Add HybridDigest that uses SortingDigest for small sample counts, then
switches to MergingDigest. This approach delivers extreme
performance and accuracy for small populations while scaling
indefinitely and maintaining acceptable performance and accuracy with
constant memory allocation (15kB by default).
Provide knobs to switch back to AVLTreeDigest, either per query or
through ClusterSettings.
* Small fixes.
* Add javadoc and tests.
* Add javadoc and tests.
* Remove special logic for singletons in the boundaries.
While this helps with the case where the digest contains only
singletons (perfect accuracy), it has a major issue problem
(non-monotonic quantile function) when the first singleton is followed
by a non-singleton centroid. It's preferable to revert to the old
version from 3.2; inaccuracies in a singleton-only digest should be
mitigated by using a sorted array for small sample counts.
* Revert changes to expected values in tests.
This is due to restoring quantile functions to match head.
* Revert changes to expected values in tests.
This is due to restoring quantile functions to match head.
* Tentatively restore percentile rank expected results.
* Use cdf version from 3.2
Update Dist.cdf to use interpolation, use the same cdf
version in AVLTreeDigest and MergingDigest.
* Revert "Tentatively restore percentile rank expected results."
This reverts commit 7718dbba59.
* Revert remaining changes compared to main.
* Revert excluded V7 compat tests.
* Exclude V7 compat tests still failing.
* Exclude V7 compat tests still failing.
* Remove ClusterSettings tentatively.
* Initial import for TDigest forking.
* Fix MedianTest.
More work needed for TDigestPercentile*Tests and the TDigestTest (and
the rest of the tests) in the tdigest lib to pass.
* Fix Dist.
* Fix AVLTreeDigest.quantile to match Dist for uniform centroids.
* Update docs/changelog/96086.yaml
* Fix `MergingDigest.quantile` to match `Dist` on uniform distribution.
* Add merging to TDigestState.hashCode and .equals.
Remove wrong asserts from tests and MergingDigest.
* Fix style violations for tdigest library.
* Fix typo.
* Fix more style violations.
* Fix more style violations.
* Fix remaining style violations in tdigest library.
* Update results in docs based on the forked tdigest.
* Fix YAML tests in aggs module.
* Fix YAML tests in x-pack/plugin.
* Skip failing V7 compat tests in modules/aggregations.
* Fix TDigest library unittests.
Remove redundant serializing interfaces from the library.
* Remove YAML test versions for older releases.
These tests don't address compatibility issues in mixed cluster tests as
the latter contain a mix of older and newer nodes, so the output depends
on which node is picked as a data node since the forked TDigest library
is not backwards compatible (produces slightly different results).
* Fix test failures in docs and mixed cluster.
* Reduce buffer sizes in MergingDigest to avoid oom.
* Exclude more failing V7 compatibility tests.
* Update results for JdbcCsvSpecIT tests.
* Update results for JdbcDocCsvSpecIT tests.
* Revert unrelated change.
* More test fixes.
* Use version skips instead of blacklisting in mixed cluster tests.
* Switch TDigestState back to AVLTreeDigest.
* Update docs and tests with AVLTreeDigest output.
* Update flaky test.
* Remove dead code, esp around tracking of incoming data.
* Remove explicit compression calls.
This was added to prevent concurrency tests from failing, but it leads
to reduces precision. Submit this to see if the concurrency tests are
still failing.
* Update docs/changelog/96086.yaml
* Delete docs/changelog/96086.yaml
* Revert "Remove explicit compression calls."
This reverts commit 5352c96f65.
* Remove explicit compression calls to MedianAbsoluteDeviation input.
* Add unittests for AVL and merging digest accuracy.
* Fix spotless violations.
* Delete redundant tests and benchmarks.
* Fix spotless violation.
* Use the old implementation of AVLTreeDigest.
The latest library version is 50% slower and less accurate, as verified
by ComparisonTests.
* Update docs with latest percentile results.
* Update docs with latest percentile results.
* Remove repeated compression calls.
* Update more percentile results.
* Use approximate percentile values in integration tests.
This helps with mixed cluster tests, where some of the tests where
blocked.
* Fix expected percentile value in test.
* Revert in-place node updates in AVL tree.
Update quantile calculations between centroids and min/max values to
match v.3.2.
* Add SortingDigest and HybridDigest.
The SortingDigest tracks all samples in an ArrayList that
gets sorted for quantile calculations. This approach
provides perfectly accurate results and is the most
efficient implementation for up to millions of samples,
at the cost of bloated memory footprint.
The HybridDigest uses a SortingDigest for small sample
populations, then switches to a MergingDigest. This
approach combines to the best performance and results for
small sample counts with very good performance and
acceptable accuracy for effectively unbounded sample
counts.
* Remove deps to the 3.2 library.
* Remove unused licenses for tdigest.
* Revert changes for SortingDigest and HybridDigest.
These will be submitted in a follow-up PR for enabling MergingDigest.
* Remove unused Histogram classes and unit tests.
Delete dead and commented out code, make the remaining tests run
reasonably fast. Remove unused annotations, esp. SuppressWarnings.
* Remove Comparison class, not used.
* Revert "Revert changes for SortingDigest and HybridDigest."
This reverts commit 2336b11598.
* Use HybridDigest as default tdigest implementation
Add SortingDigest as a simple structure for percentile calculations that
tracks all data points in a sorted array. This is a fast and perfectly
accurate solution that leads to bloated memory allocation.
Add HybridDigest that uses SortingDigest for small sample counts, then
switches to MergingDigest. This approach delivers extreme
performance and accuracy for small populations while scaling
indefinitely and maintaining acceptable performance and accuracy with
constant memory allocation (15kB by default).
Provide knobs to switch back to AVLTreeDigest, either per query or
through ClusterSettings.
* Add javadoc and tests.
* Remove ClusterSettings tentatively.
* Restore bySize function in TDigest and subclasses.
* Update Dist.cdf to match the rest.
Update tests.
* Revert outdated test changes.
* Revert outdated changes.
* Small fixes.
* Update docs/changelog/96794.yaml
* Make HybridDigest the default implementation.
* Update boxplot documentation.
* Restore AVLTreeDigest as the default in TDigestState.
TDigest.createHybridDigest nw returns the right type.
The switch in TDigestState will happen in a separate PR
as it requires many test updates.
* Use execution_hint in tdigest spec.
* Fix Dist.cdf for empty digest.
* Bump up TransportVersion.
* Bump up TransportVersion for real.
* HybridDigest uses its final implementation during deserialization.
* Restore the right TransportVersion in TDigestState.read
* Use TDigestExecutionHint instead of strings.
* Add link to TDigest javadoc.
* Spotless fix.
* Small fixes.
* Bump up TransportVersion.
* Bump up the TransportVersion, again.
* Initial import for TDigest forking.
* Fix MedianTest.
More work needed for TDigestPercentile*Tests and the TDigestTest (and
the rest of the tests) in the tdigest lib to pass.
* Fix Dist.
* Fix AVLTreeDigest.quantile to match Dist for uniform centroids.
* Update docs/changelog/96086.yaml
* Fix `MergingDigest.quantile` to match `Dist` on uniform distribution.
* Add merging to TDigestState.hashCode and .equals.
Remove wrong asserts from tests and MergingDigest.
* Fix style violations for tdigest library.
* Fix typo.
* Fix more style violations.
* Fix more style violations.
* Fix remaining style violations in tdigest library.
* Update results in docs based on the forked tdigest.
* Fix YAML tests in aggs module.
* Fix YAML tests in x-pack/plugin.
* Skip failing V7 compat tests in modules/aggregations.
* Fix TDigest library unittests.
Remove redundant serializing interfaces from the library.
* Remove YAML test versions for older releases.
These tests don't address compatibility issues in mixed cluster tests as
the latter contain a mix of older and newer nodes, so the output depends
on which node is picked as a data node since the forked TDigest library
is not backwards compatible (produces slightly different results).
* Fix test failures in docs and mixed cluster.
* Reduce buffer sizes in MergingDigest to avoid oom.
* Exclude more failing V7 compatibility tests.
* Update results for JdbcCsvSpecIT tests.
* Update results for JdbcDocCsvSpecIT tests.
* Revert unrelated change.
* More test fixes.
* Use version skips instead of blacklisting in mixed cluster tests.
* Switch TDigestState back to AVLTreeDigest.
* Update docs and tests with AVLTreeDigest output.
* Update flaky test.
* Remove dead code, esp around tracking of incoming data.
* Update docs/changelog/96086.yaml
* Delete docs/changelog/96086.yaml
* Remove explicit compression calls.
This was added to prevent concurrency tests from failing, but it leads
to reduces precision. Submit this to see if the concurrency tests are
still failing.
* Revert "Remove explicit compression calls."
This reverts commit 5352c96f65.
* Remove explicit compression calls to MedianAbsoluteDeviation input.
* Add unittests for AVL and merging digest accuracy.
* Fix spotless violations.
* Delete redundant tests and benchmarks.
* Fix spotless violation.
* Use the old implementation of AVLTreeDigest.
The latest library version is 50% slower and less accurate, as verified
by ComparisonTests.
* Update docs with latest percentile results.
* Update docs with latest percentile results.
* Remove repeated compression calls.
* Update more percentile results.
* Use approximate percentile values in integration tests.
This helps with mixed cluster tests, where some of the tests where
blocked.
* Fix expected percentile value in test.
* Revert in-place node updates in AVL tree.
Update quantile calculations between centroids and min/max values to
match v.3.2.
* Add SortingDigest and HybridDigest.
The SortingDigest tracks all samples in an ArrayList that
gets sorted for quantile calculations. This approach
provides perfectly accurate results and is the most
efficient implementation for up to millions of samples,
at the cost of bloated memory footprint.
The HybridDigest uses a SortingDigest for small sample
populations, then switches to a MergingDigest. This
approach combines to the best performance and results for
small sample counts with very good performance and
acceptable accuracy for effectively unbounded sample
counts.
* Remove deps to the 3.2 library.
* Remove unused licenses for tdigest.
* Revert changes for SortingDigest and HybridDigest.
These will be submitted in a follow-up PR for enabling MergingDigest.
* Remove unused Histogram classes and unit tests.
Delete dead and commented out code, make the remaining tests run
reasonably fast. Remove unused annotations, esp. SuppressWarnings.
* Remove Comparison class, not used.
* Small fixes.
* Add javadoc and tests.
* Remove special logic for singletons in the boundaries.
While this helps with the case where the digest contains only
singletons (perfect accuracy), it has a major issue problem
(non-monotonic quantile function) when the first singleton is followed
by a non-singleton centroid. It's preferable to revert to the old
version from 3.2; inaccuracies in a singleton-only digest should be
mitigated by using a sorted array for small sample counts.
* Revert changes to expected values in tests.
This is due to restoring quantile functions to match head.
* Revert changes to expected values in tests.
This is due to restoring quantile functions to match head.
* Tentatively restore percentile rank expected results.
* Use cdf version from 3.2
Update Dist.cdf to use interpolation, use the same cdf
version in AVLTreeDigest and MergingDigest.
* Revert "Tentatively restore percentile rank expected results."
This reverts commit 7718dbba59.
* Revert remaining changes compared to main.
* Revert excluded V7 compat tests.
* Exclude V7 compat tests still failing.
* Exclude V7 compat tests still failing.
* Restore bySize function in TDigest and subclasses.
This is used when the `top_hits` output is passed to pipeline
aggregators like bucket selectors. The logic retrieves the requested
field from the source of the first SearchHit. This implies that (a) the
spec of the wrapping aggregator (e.g. `bucket_path`) points to an
appropriate field using a bracketed reference (e.g.
`my_top_hits[my_metric]`) and (b) the `top_hits` contains a `size: 1`
setting.
This PR also includes extensions to YAML tests for `top_metrics` and
`top_hits` to cover the cases where these are used in pipeline
aggregations through `bucket_selector`, similar to a HAVING clause in
SQL.
Related to https://github.com/elastic/elasticsearch/issues/73429.
Added Cartesian support for centroid aggregation
* First draft of cartesian-centroid docs
However, this is largely a duplicate of geo-centroid docs since they are essentially identical behaviour. We should consider merging them.
* Work on isAggregatable caused a minor logic conflict. When that work was done, Point and Shape were not aggregatable, but now they are.
Plumbs through a new parameter for the cardinality aggregation, to allow configuring the execution mode. This can have significant impacts on speed and memory usage. This PR exposes three collection modes and two heuristics that we can tune going forward. All of these are treated as hints and can be silently ignored, e.g. if not applicable to the given field type. I've change the default behavior to optimize for time, which potentially uses more memory. Users can override this for the old behavior if needed.
* Soft-deprecation of point/geo_point formats
Since GeoJSON and WKT are now common formats for all three types:
geo_shape, geo_point and point
We decided to soft-deprecate the other point formats by ordering:
* GeoJSON (object with keys `type` and `coordinates`)
* WKT `POINT(x y)`
* Object with keys `lat` and `lon` (or `x` and `y` for point)
* Array [lon,lat]
* String `"lat,lon"` (or `"x,y"` in point)
* String with geohash (only in `geo_point`)
The geohash is last because it is only in one field type.
The string version is second last because it is the most controversial
being the only version to reverse the coordinate order from all other
formats (for geo_point only, since the coordinates are not reversed
in point).
In addition we replaced many examples in both documentation and tests
to prioritize WKT over the plain string format.
Many remaining examples of array format or object with keys still exist
and could be replaced by, for example, GeoJSON, if we feel the need.
* Incorrect quote position
Fixes an error and test snippets for the sum aggregation example for histograms.
Closes#84491
Co-authored-by: James Rodewig <40268737+jrodewig@users.noreply.github.com>
(cherry picked from commit fb45ac9dea)
Co-authored-by: Maja Grubic <maja.grubic@elastic.co>
* Updates the `min` and `max` snippets for histograms. These should now run as docs integration tests.
* Fixes a copy/paste error in the `max` aggregation snippet for histograms.
Relates to https://github.com/elastic/elasticsearch/pull/83384
per issue 60780, decision from team to remove experimental language from HDR Histogram percentiles and ranks. Feature has been in production for quite some time.
closes#60780
The documentations states that if the `weight` field is missing, and no
explicit missing configuration is provided, a default value of 1 is used.
This is incorrect and does not match the implementation of the weighted
average aggregator. In this specific case the document is skipped, instead.
Removes `testenv` annotations and related code. These annotations originally let you skip x-pack snippet tests in the docs. However, that's no longer possible.
Relates to #79309, #31619
When running a rate aggregation without setting the field parameter, the result is computed based on the bucket doc_count.
This PR adds support for a custom _doc_count field.
Closes#77734
rate aggregation should support being a sub-aggregation
of a composite agg.
The catch is that the composite aggregation source
must be a date histogram. Other sources can be present
but their must be exactly one date histogram source
otherwise the rate aggregation does not know which
interval to compare its unit rate to.
closes https://github.com/elastic/elasticsearch/issues/76988
Changes:
* Use "geopoint" when not referring to the literal field type
* Use "geoshape" when not referring to the literal field type or query type
* Use "GeoJSON" consistently
This replaces the `script` docs for bucket aggregations with runtime
fields. We expect runtime fields to be nicer to work with because you
can also fetch them or filter on them. We expect them to be faster
because their don't need this sort of `instanceof` tree:
a92a647b9f/server/src/main/java/org/elasticsearch/search/aggregations/support/values/ScriptDoubleValues.java (L42)
Relates to #69291
Co-authored-by: James Rodewig <40268737+jrodewig@users.noreply.github.com>
Co-authored-by: Adam Locke <adam.locke@elastic.co>
In some cases when the rate aggregation is not a child of a date histogram
aggregation, it is not possible to determine the actual size of the date
histogram bucket. In this case the rate aggregation now throws an exception.
Closes#63703
A metric aggregation that aggregates a set of points as
a GeoJSON LineString ordered by some sort parameter.
#### specifics
A `geo_line` aggregation request would specify a `geo_point` field, as well
as a `sort` field. `geo_point` represents the values used in the LineString,
while the `sort` values will be used as the total ordering of the points.
the `sort` field would support any numeric field, including date.
#### sample usage
```
{
"query": {
"bool": {
"must": [
{ "term": { "person": "004" } },
{ "term": { "trajectory": "20090131002206.plt" } }
]
}
},
"aggs": {
"make_line": {
"geo_line": {
"point": {"field": "location"},
"sort": { "field": "timestamp" },
"include_sort": true,
"sort_order": "desc",
"size": 15
}
}
}
}
```
#### sample response
```
{
"took": 21,
"timed_out": false,
"_shards": {...},
"hits": {...},
"aggregations": {
"make_line": {
"type": "LineString",
"coordinates": [
[
121.52926194481552,
38.92878997139633
],
[
121.52922699227929,
38.92876998055726
],
]
}
}
}
```
#### visual response
<img width="540" alt="Screen Shot 2019-04-26 at 9 40 07 AM" src="https://user-images.githubusercontent.com/388837/56834977-cf278e00-6827-11e9-9c93-005ed48433cc.png">
#### limitations
Due to the cardinality of points, an initial max of 10k points
will be used. This should support many use-cases.
One solution to overcome this limitation is to keep a PriorityQueue of
points, and simplifying the line once it hits this max. If simplifying
makes sense, it may be a nice option, in general. The ability to use a parameter
to specify how aggressive one wants to simplify. This parameter could be
the number of points. Example algorithm one could use with a PriorityQueue:
https://bost.ocks.org/mike/simplify/. This would still require O(m) space, where m
is the number of points returned. And would also require heapifying triangles
sorted by their areas, which would be O(log(m)) operations. Since sorting is done,
anyways, simplifying would still be a O(n log(m)) operation, where n is the total number
of points to filter........... something to explore
closes#41649
This PR adds support for the 'fields' option in the following places:
* Anytime `inner_hits` is used, for both fetching nested/ child docs and field collapsing
* The `top_hits` aggregation
Addresses #61949.
Changes:
* Moves `Retrieve selected fields` to its own page and adds a title abbreviation.
* Adds existing script and stored fields content to `Retrieve selected fields`
* Adds a xref for `Retrieve selected fields` to `Search your data`
* Adds related redirects and updates existing xrefs
Plugin discovery documentation contained information about installing
Elasticsearch 2.0 and installing an oracle JDK, both of which is no
longer valid.
While noticing that the instructions used cleartext HTTP to install
packages, this commit replaces HTTPs links instead of HTTP where possible.
In addition a few community links have been removed, as they do not seem
to exist anymore.
Moves the search sort docs from the deprecated 'Request Body Search'
page to a new subpage of 'Run a search'.
No substantive changes were made to the content.
