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DATACMNS-1402 - Use best-effort caching in CustomConversions and DefaultTypeMapper #319
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…ultTypeMapper. We now apply best-effort caching instead of atomic caching for custom conversions and type mapping. This change is a workaround for a Java 8 bug in ConcurrentHashMap where the computeIfAbsent(…) operation unconditionally locks nodes even when the node is already present. The workaround is to assume the optimistic case by looking up the key and then falling back to computeIfAbsent if the key is absent. Before: TypicalEntityReaderBenchmark.simpleEntityReflectivePropertyAccessWithCustomConversionRegistry thrpt 10 6487423,969 ± 349449,326 ops/s DefaultTypeMapperBenchmark.readTyped thrpt 10 38213392,961 ± 5080789,480 ops/s DefaultTypeMapperBenchmark.readUntyped thrpt 10 47565238,929 ± 855200,560 ops/s After: TypicalEntityReaderBenchmark.simpleEntityReflectivePropertyAccessWithCustomConversionRegistry thrpt 10 7361251,834 ± 278530,209 ops/s DefaultTypeMapperBenchmark.readTyped thrpt 10 122523380,422 ± 3839365,439 ops/s DefaultTypeMapperBenchmark.readUntyped thrpt 10 181767673,793 ± 3549021,260 ops/s
odrotbohm
pushed a commit
that referenced
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Oct 8, 2018
…ultTypeMapper. We now apply best-effort caching instead of atomic caching for custom conversions and type mapping. This change is a workaround for a Java 8 bug in ConcurrentHashMap where the computeIfAbsent(…) operation unconditionally locks nodes even when the node is already present. The workaround is to assume the optimistic case by looking up the key and then falling back to computeIfAbsent if the key is absent. Before: TypicalEntityReaderBenchmark.simpleEntityReflectivePropertyAccessWithCustomConversionRegistry thrpt 10 6487423,969 ± 349449,326 ops/s DefaultTypeMapperBenchmark.readTyped thrpt 10 38213392,961 ± 5080789,480 ops/s DefaultTypeMapperBenchmark.readUntyped thrpt 10 47565238,929 ± 855200,560 ops/s After: TypicalEntityReaderBenchmark.simpleEntityReflectivePropertyAccessWithCustomConversionRegistry thrpt 10 7361251,834 ± 278530,209 ops/s DefaultTypeMapperBenchmark.readTyped thrpt 10 122523380,422 ± 3839365,439 ops/s DefaultTypeMapperBenchmark.readUntyped thrpt 10 181767673,793 ± 3549021,260 ops/s Original pull request: #319.
odrotbohm
pushed a commit
that referenced
this pull request
Oct 8, 2018
…ultTypeMapper. We now apply best-effort caching instead of atomic caching for custom conversions and type mapping. This change is a workaround for a Java 8 bug in ConcurrentHashMap where the computeIfAbsent(…) operation unconditionally locks nodes even when the node is already present. The workaround is to assume the optimistic case by looking up the key and then falling back to computeIfAbsent if the key is absent. Before: TypicalEntityReaderBenchmark.simpleEntityReflectivePropertyAccessWithCustomConversionRegistry thrpt 10 6487423,969 ± 349449,326 ops/s DefaultTypeMapperBenchmark.readTyped thrpt 10 38213392,961 ± 5080789,480 ops/s DefaultTypeMapperBenchmark.readUntyped thrpt 10 47565238,929 ± 855200,560 ops/s After: TypicalEntityReaderBenchmark.simpleEntityReflectivePropertyAccessWithCustomConversionRegistry thrpt 10 7361251,834 ± 278530,209 ops/s DefaultTypeMapperBenchmark.readTyped thrpt 10 122523380,422 ± 3839365,439 ops/s DefaultTypeMapperBenchmark.readUntyped thrpt 10 181767673,793 ± 3549021,260 ops/s Original pull request: #319.
odrotbohm
pushed a commit
that referenced
this pull request
Oct 8, 2018
…ultTypeMapper. We now apply best-effort caching instead of atomic caching for custom conversions and type mapping. This change is a workaround for a Java 8 bug in ConcurrentHashMap where the computeIfAbsent(…) operation unconditionally locks nodes even when the node is already present. The workaround is to assume the optimistic case by looking up the key and then falling back to computeIfAbsent if the key is absent. Before: TypicalEntityReaderBenchmark.simpleEntityReflectivePropertyAccessWithCustomConversionRegistry thrpt 10 6487423,969 ± 349449,326 ops/s DefaultTypeMapperBenchmark.readTyped thrpt 10 38213392,961 ± 5080789,480 ops/s DefaultTypeMapperBenchmark.readUntyped thrpt 10 47565238,929 ± 855200,560 ops/s After: TypicalEntityReaderBenchmark.simpleEntityReflectivePropertyAccessWithCustomConversionRegistry thrpt 10 7361251,834 ± 278530,209 ops/s DefaultTypeMapperBenchmark.readTyped thrpt 10 122523380,422 ± 3839365,439 ops/s DefaultTypeMapperBenchmark.readUntyped thrpt 10 181767673,793 ± 3549021,260 ops/s Original pull request: #319.
odrotbohm
pushed a commit
that referenced
this pull request
Oct 8, 2018
…ultTypeMapper. We now apply best-effort caching instead of atomic caching for custom conversions and type mapping. This change is a workaround for a Java 8 bug in ConcurrentHashMap where the computeIfAbsent(…) operation unconditionally locks nodes even when the node is already present. The workaround is to assume the optimistic case by looking up the key and then falling back to computeIfAbsent if the key is absent. Before: TypicalEntityReaderBenchmark.simpleEntityReflectivePropertyAccessWithCustomConversionRegistry thrpt 10 6487423,969 ± 349449,326 ops/s DefaultTypeMapperBenchmark.readTyped thrpt 10 38213392,961 ± 5080789,480 ops/s DefaultTypeMapperBenchmark.readUntyped thrpt 10 47565238,929 ± 855200,560 ops/s After: TypicalEntityReaderBenchmark.simpleEntityReflectivePropertyAccessWithCustomConversionRegistry thrpt 10 7361251,834 ± 278530,209 ops/s DefaultTypeMapperBenchmark.readTyped thrpt 10 122523380,422 ± 3839365,439 ops/s DefaultTypeMapperBenchmark.readUntyped thrpt 10 181767673,793 ± 3549021,260 ops/s Original pull request: #319.
odrotbohm
pushed a commit
that referenced
this pull request
Oct 8, 2018
…ultTypeMapper. We now apply best-effort caching instead of atomic caching for custom conversions and type mapping. This change is a workaround for a Java 8 bug in ConcurrentHashMap where the computeIfAbsent(…) operation unconditionally locks nodes even when the node is already present. The workaround is to assume the optimistic case by looking up the key and then falling back to computeIfAbsent if the key is absent. Before: TypicalEntityReaderBenchmark.simpleEntityReflectivePropertyAccessWithCustomConversionRegistry thrpt 10 6487423,969 ± 349449,326 ops/s DefaultTypeMapperBenchmark.readTyped thrpt 10 38213392,961 ± 5080789,480 ops/s DefaultTypeMapperBenchmark.readUntyped thrpt 10 47565238,929 ± 855200,560 ops/s After: TypicalEntityReaderBenchmark.simpleEntityReflectivePropertyAccessWithCustomConversionRegistry thrpt 10 7361251,834 ± 278530,209 ops/s DefaultTypeMapperBenchmark.readTyped thrpt 10 122523380,422 ± 3839365,439 ops/s DefaultTypeMapperBenchmark.readUntyped thrpt 10 181767673,793 ± 3549021,260 ops/s Original pull request: #319.
odrotbohm
pushed a commit
that referenced
this pull request
Oct 8, 2018
…ultTypeMapper. We now apply best-effort caching instead of atomic caching for custom conversions and type mapping. This change is a workaround for a Java 8 bug in ConcurrentHashMap where the computeIfAbsent(…) operation unconditionally locks nodes even when the node is already present. The workaround is to assume the optimistic case by looking up the key and then falling back to computeIfAbsent if the key is absent. Before: TypicalEntityReaderBenchmark.simpleEntityReflectivePropertyAccessWithCustomConversionRegistry thrpt 10 6487423,969 ± 349449,326 ops/s DefaultTypeMapperBenchmark.readTyped thrpt 10 38213392,961 ± 5080789,480 ops/s DefaultTypeMapperBenchmark.readUntyped thrpt 10 47565238,929 ± 855200,560 ops/s After: TypicalEntityReaderBenchmark.simpleEntityReflectivePropertyAccessWithCustomConversionRegistry thrpt 10 7361251,834 ± 278530,209 ops/s DefaultTypeMapperBenchmark.readTyped thrpt 10 122523380,422 ± 3839365,439 ops/s DefaultTypeMapperBenchmark.readUntyped thrpt 10 181767673,793 ± 3549021,260 ops/s Original pull request: #319.
Aloren
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to Aloren/spring-data-commons
that referenced
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Jun 20, 2019
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We now apply best-effort caching instead of atomic caching for custom conversions and type mapping. This change is a workaround for a Java 8 bug in
ConcurrentHashMap
where thecomputeIfAbsent(…)
operation unconditionally locks nodes even when the node is already present.The workaround is to assume the optimistic case by looking up the key and then falling back to computeIfAbsent if the value is absent.
Note: This bug was solved in Java 9 and later.
Before:
After:
Related ticket: DATACMNS-1396.