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Implement aggregations on aggregate metrics #53986
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csoulios
merged 65 commits into
elastic:feature/aggregate-metrics
from
csoulios:prototype/vs-refactor-aggregate-metrics
May 14, 2020
Merged
Implement aggregations on aggregate metrics #53986
csoulios
merged 65 commits into
elastic:feature/aggregate-metrics
from
csoulios:prototype/vs-refactor-aggregate-metrics
May 14, 2020
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csoulios
added
WIP
:StorageEngine/Rollup
Turn fine-grained time-based data into coarser-grained data
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Mar 23, 2020
Pinging @elastic/es-analytics-geo (:Analytics/Rollup) |
Make parsing of malformed values stricter and ignore all field metrics even if a single metric is wrong
isFieldWithinQuery to handle range queries efficiently, fielddataBuilder to handle aggregations and sort, docValueFormat to format double correctly
metrics should be an error.
Now AggregateMetricsValuesSource returns directly a SortedNumericDoubleValues instance which received by the aggregator
And fixed issues that were discovered in the process of testing
@elasticmachine run elasticsearch-ci/2 |
@elasticmachine run elasticsearch-ci/default-distro |
@elasticmachine run elasticsearch-ci/bwc |
on aggregate metric fields
csoulios
commented
Apr 28, 2020
...in/java/org/elasticsearch/xpack/aggregatemetric/mapper/AggregateDoubleMetricFieldMapper.java
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rjernst
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Team:Analytics
Meta label for analytical engine team (ESQL/Aggs/Geo)
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May 4, 2020
@elasticmachine run elasticsearch-ci/2 |
@elasticmachine run elasticsearch-ci/bwc |
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Labels
:StorageEngine/Rollup
Turn fine-grained time-based data into coarser-grained data
Team:Analytics
Meta label for analytical engine team (ESQL/Aggs/Geo)
v8.0.0-alpha1
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Following the implementation of the
aggregate_metric_double
field mapper(#49830) we are implementing the Min, Max, ValueCount, Sum and Average aggregations on aggregate metrics.The code builds on the excellent work done for #42949 and uses the extensible ValuesSources infrastructure to wire up common metric aggregation on the
aggregate_metric_double
field type.This PR is part of the rollups v2 refactoring as described in meta issue #42720