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add rollover & archival mechanism for correlation history indices #670
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sbcd90
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amsiglan,
AWSHurneyt,
getsaurabh02,
lezzago,
praveensameneni and
eirsep
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October 17, 2023 03:09
Codecov Report
@@ Coverage Diff @@
## main #670 +/- ##
============================================
- Coverage 25.18% 24.81% -0.37%
Complexity 1021 1021
============================================
Files 275 275
Lines 12458 12670 +212
Branches 1361 1390 +29
============================================
+ Hits 3137 3144 +7
- Misses 9053 9258 +205
Partials 268 268
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import static org.opensearch.securityanalytics.settings.SecurityAnalyticsSettings.FINDING_HISTORY_MAX_DOCS; | ||
import static org.opensearch.securityanalytics.settings.SecurityAnalyticsSettings.FINDING_HISTORY_RETENTION_PERIOD; | ||
import static org.opensearch.securityanalytics.settings.SecurityAnalyticsSettings.FINDING_HISTORY_ROLLOVER_PERIOD; | ||
import static org.opensearch.securityanalytics.settings.SecurityAnalyticsSettings.*; |
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can we revert wildcard import
praveensameneni
previously approved these changes
Oct 25, 2023
amsiglan
previously approved these changes
Oct 25, 2023
eirsep
previously approved these changes
Oct 30, 2023
is this failure flaky from before or was this failing from this change?
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Signed-off-by: Subhobrata Dey <[email protected]>
praveensameneni
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Oct 31, 2023
AWSHurneyt
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Oct 31, 2023
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Signed-off-by: Subhobrata Dey <[email protected]> (cherry picked from commit 24e94b4)
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Signed-off-by: Subhobrata Dey <[email protected]> (cherry picked from commit 24e94b4)
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…) (#707) Signed-off-by: Subhobrata Dey <[email protected]>
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…) (#706) Signed-off-by: Subhobrata Dey <[email protected]>
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…ect#670) (opensearch-project#691) Signed-off-by: Petar Partlov <[email protected]> Signed-off-by: Petar Partlov <[email protected]> (cherry picked from commit 9d9f588426b6df8a4a084866f65532baef9268e3) Co-authored-by: Petar Partlov <[email protected]>
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Description
add rollover & archival mechanism for correlation history indices.
improves scoring mechanism of correlated findings.
The scoring mechanism is dependent on the euclidean distance between 2 vectors. Earlier our vectors were dependent on log types so the dimension of these vectors were set to 100. & vectors grew in size as new log types were added.
But we eliminated it now & fixed dimension of vector to 3 which not only prevents vectors from becoming sparse but also improves correlation scores.
Issues Resolved
[List any issues this PR will resolve]
Check List
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