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https://issues.apache.org/jira/browse/FLINK-39789?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Shekhar Prasad Rajak updated FLINK-39789:
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Fix Version/s: 2.2.2
> AvroSchemaConverter.convertToDataType(String) ignores local-timestamp-* and
> timestamp-nanos logical types, silently maps to BIGINT
> ----------------------------------------------------------------------------------------------------------------------------------
>
> Key: FLINK-39789
> URL: https://issues.apache.org/jira/browse/FLINK-39789
> Project: Flink
> Issue Type: Bug
> Affects Versions: 2.1.0
> Reporter: Shekhar Prasad Rajak
> Priority: Major
> Fix For: 2.2.2
>
>
> AvroSchemaConverter.convertToDataType(String avroSchemaString) is the only
> public Avro→Flink type-mapping entry point. It silently drops the logical
> type for several Avro long logical types and returns BIGINT, which then
> produces a Flink RowType that is incompatible with TimestampData values at
> runtime.
> The internal two-arg convertToDataType(Schema, boolean) does contain branches
> for local-timestamp-millis and local-timestamp-micros, but they are reached
> only when the boolean is false. The single-arg public API hard-codes the
> boolean to true, so those branches are unreachable from any public API. There
> are also no branches at all for timestamp-nanos or local-timestamp-nanos.
> String avro =
> "{ \"type\": \"record\", \"name\": \"R\", \"fields\": ["
> + "{ \"name\": \"ts\", \"type\": { \"type\": \"long\","
> + " \"logicalType\": \"local-timestamp-micros\" } } ] }";
> DataType dt = AvroSchemaConverter.convertToDataType(avro);
> System.out.println(dt);
> // Current : ROW<`ts` BIGINT NOT NULL> NOT NULL
> // Expected: ROW<`ts` TIMESTAMP(6) NOT NULL> NOT NULL
> Because of that :
> ```
> RowType row = (RowType)
> AvroSchemaConverter.convertToDataType(avro).getLogicalType();
> RowData.FieldGetter getter = RowData.createFieldGetter(row.getTypeAt(0), 0);
> GenericRowData data = new GenericRowData(1);
> data.setField(0, TimestampData.fromEpochMillis(0L)); // semantically
> correct value
> getter.getFieldOrNull(data);
> // java.lang.ClassCastException:
> // class org.apache.flink.table.data.TimestampData cannot be cast to class
> java.lang.Long
> ```
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