Fixed
Status Update
Comments
ap...@google.com <ap...@google.com> #2
Project: platform/frameworks/support
Branch: androidx-master-dev
commit b90079595f33f58fece04026a97faa0d243acdb1
Author: Yuichi Araki <yaraki@google.com>
Date: Wed Sep 18 16:55:49 2019
Change the way to detect mismatch between POJO and query
This fixes cursor mismatch warnings with expandProjection.
Bug: 140759491
Test: QueryMethodProcessorTest
Change-Id: I7659002e5e0d1ef60fc1af2a625c0c36da0664d8
M room/compiler/src/main/kotlin/androidx/room/processor/QueryMethodProcessor.kt
M room/compiler/src/main/kotlin/androidx/room/solver/TypeAdapterStore.kt
M room/compiler/src/main/kotlin/androidx/room/solver/query/result/PojoRowAdapter.kt
M room/compiler/src/test/kotlin/androidx/room/processor/QueryMethodProcessorTest.kt
M room/compiler/src/test/kotlin/androidx/room/testing/TestProcessor.kt
https://android-review.googlesource.com/1123258
https://goto.google.com/android-sha1/b90079595f33f58fece04026a97faa0d243acdb1
Branch: androidx-master-dev
commit b90079595f33f58fece04026a97faa0d243acdb1
Author: Yuichi Araki <yaraki@google.com>
Date: Wed Sep 18 16:55:49 2019
Change the way to detect mismatch between POJO and query
This fixes cursor mismatch warnings with expandProjection.
Bug: 140759491
Test: QueryMethodProcessorTest
Change-Id: I7659002e5e0d1ef60fc1af2a625c0c36da0664d8
M room/compiler/src/main/kotlin/androidx/room/processor/QueryMethodProcessor.kt
M room/compiler/src/main/kotlin/androidx/room/solver/TypeAdapterStore.kt
M room/compiler/src/main/kotlin/androidx/room/solver/query/result/PojoRowAdapter.kt
M room/compiler/src/test/kotlin/androidx/room/processor/QueryMethodProcessorTest.kt
M room/compiler/src/test/kotlin/androidx/room/testing/TestProcessor.kt
Description
Currently, frame times percentiles are treated as individual metrics, with their own internal distributions:
Instead, we should flatmap all metrics captured from separate iterations, and compute metrics from those, e.g:
In order to match this treatment of data in JSON, we should surface percentiles without min/max/median, while still preserving per-iteration separation of data, to enable arbitrary post-processing it.