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https://issues.apache.org/jira/browse/AVRO-3184?focusedWorklogId=643413&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-643413
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ASF GitHub Bot logged work on AVRO-3184:
----------------------------------------
Author: ASF GitHub Bot
Created on: 30/Aug/21 11:09
Start Date: 30/Aug/21 11:09
Worklog Time Spent: 10m
Work Description: martin-g commented on a change in pull request #1301:
URL: https://github.com/apache/avro/pull/1301#discussion_r698395051
##########
File path: lang/java/avro/src/main/java/org/apache/avro/generic/GenericData.java
##########
@@ -69,6 +69,16 @@
private static final GenericData INSTANCE = new GenericData();
+ private static final Map<Class<?>, String> PRIMATIVE_DATUM_TYPES = new
IdentityHashMap<>();
Review comment:
Any reason to use IdentityHashMap in favour of HashMap ?
##########
File path: lang/java/avro/src/main/java/org/apache/avro/generic/GenericData.java
##########
@@ -892,6 +902,9 @@ public int resolveUnion(Schema union, Object datum) {
protected String getSchemaName(Object datum) {
if (datum == null || datum == JsonProperties.NULL_VALUE)
return Type.NULL.getName();
+ String primativeType = PRIMATIVE_DATUM_TYPES.get(datum.getClass());
+ if (primativeType != null)
+ return primativeType;
Review comment:
Shouldn't we remove the later checks for `isInteger(datum)`,
`isLong(datum)`, etc. ?
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Issue Time Tracking
-------------------
Worklog Id: (was: 643413)
Remaining Estimate: 0h
Time Spent: 10m
> Cache Datum Type Strings in Resolve Union
> -----------------------------------------
>
> Key: AVRO-3184
> URL: https://issues.apache.org/jira/browse/AVRO-3184
> Project: Apache Avro
> Issue Type: Improvement
> Reporter: David Mollitor
> Assignee: David Mollitor
> Priority: Major
> Attachments: AVRO-3184.JPG, AVRO-master.JPG
>
> Time Spent: 10m
> Remaining Estimate: 0h
>
> {code:java|title=GenericData.java}
> protected String getSchemaName(Object datum) {
> if (datum == null || datum == JsonProperties.NULL_VALUE)
> return Type.NULL.getName();
> if (isRecord(datum))
> return getRecordSchema(datum).getFullName();
> if (isEnum(datum))
> return getEnumSchema(datum).getFullName();
> if (isArray(datum))
> return Type.ARRAY.getName();
> if (isMap(datum))
> return Type.MAP.getName();
> if (isFixed(datum))
> return getFixedSchema(datum).getFullName();
> if (isString(datum))
> return Type.STRING.getName();
> if (isBytes(datum))
> return Type.BYTES.getName();
> if (isInteger(datum))
> return Type.INT.getName();
> if (isLong(datum))
> return Type.LONG.getName();
> if (isFloat(datum))
> return Type.FLOAT.getName();
> if (isDouble(datum))
> return Type.DOUBLE.getName();
> if (isBoolean(datum))
> return Type.BOOLEAN.getName();
> throw new AvroRuntimeException(String.format("Unknown datum type %s: %s",
> datum.getClass().getName(), datum));
> }
> {code}
> This is a lot of effort for each of the simple native types (Long, Float,
> Double, etc.) type. It is the last thing that is checked. Add a cache for
> these simple use cases.
> I came across this while examining performance of Apache ORC which includes
> an Avro benchmark for comparison. You can see the charts with the change
> implemented.
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