[英]How to define an apache flink table with row time attribute
我有 json 行作為我的數據,我想從中創建一個表。
StreamTableEnvironment fsTableEnv = StreamTableEnvironment.create(streamExecutionEnvironment, fsSettings);
String allEventsTable = "allEventsTable";
fsTableEnv.connect(new Kafka()
.version("0.11")
.topic("events")
.property("bootstrap.servers", "localhost:9092")
.property("group.id", "dummyquery").startFromLatest())
.withSchema(new Schema()
.field("rule_id", Types.INT)
.field("sourceAddress", Types.STRING)
.field("deviceProduct", Types.STRING)
.field("destHost", Types.STRING)
.field("extra", Types.STRING)
.field("rowtime", Types.SQL_TIMESTAMP)
.rowtime(new Rowtime().timestampsFromField("rowtime").watermarksPeriodicBounded(2000))
)
.withFormat(new Json().failOnMissingField(false).deriveSchema())
.inAppendMode()
.registerTableSource(allEventsTable);
Table result = fsTableEnv.sqlQuery("select * from allEventsTable where sourceAddress='12345431'");
DataStream alert = fsTableEnv.toAppendStream(result, Row.class);
alert.print();
但是,在運行作業時出現錯誤
Exception in thread "main" org.apache.flink.table.api.ValidationException: Field 'rowtime' could not be resolved by the field mapping.
at org.apache.flink.table.sources.TableSourceValidation.resolveField(TableSourceValidation.java:245)
at org.apache.flink.table.sources.TableSourceValidation.lambda$validateTimestampExtractorArguments$6(TableSourceValidation.java:202)
at java.util.stream.ReferencePipeline$3$1.accept(ReferencePipeline.java:193)
at java.util.Spliterators$ArraySpliterator.forEachRemaining(Spliterators.java:948)
at java.util.stream.AbstractPipeline.copyInto(AbstractPipeline.java:481)
at java.util.stream.AbstractPipeline.wrapAndCopyInto(AbstractPipeline.java:471)
at java.util.stream.AbstractPipeline.evaluate(AbstractPipeline.java:545)
at java.util.stream.AbstractPipeline.evaluateToArrayNode(AbstractPipeline.java:260)
at java.util.stream.ReferencePipeline.toArray(ReferencePipeline.java:438)
附言。 我正在使用 flink 1.9
我放入 kafka 主題事件的 json 數據就像
{"rule_id":"", "rowtime":"2020-07-23 13:10:13","sourceAddress":"12345433","deviceProduct":"234r5t", "destHost":"876543", "extra":"dummy"}
恐怕這是一個錯誤。 我創建了https://issues.apache.org/jira/browse/FLINK-15801來跟蹤它。
如果您更改行時間定義中的字段名稱之一,您應該能夠解決這個問題。 更改邏輯字段的名稱:
.field("timeAttribute", Types.SQL_TIMESTAMP)
.rowtime(new Rowtime().timestampsFromField("rowtime").watermarksPeriodicBounded(2000))
或物理起源領域:
.field("rowtime", Types.SQL_TIMESTAMP)
.rowtime(new Rowtime().timestampsFromField("timestamp").watermarksPeriodicBounded(2000))
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