[英]Can I return a Tuple2 from an apache spark UDF (in java)?
[英]Can not return a Struct from a KSQL UDF
我正在尝试制作一个接受 STRUCT 作为参数的 UDF function 并在对输入进行一些修改(更新现有字段+添加新字段)后返回一个结构,如下面的代码:
@UdfDescription(name = "myCustomUdf")
public class MyCustomUdf {
@Udf(description = "do stuff")
public Struct MyCustomUdf(@UdfParameter(schema = "struct <NAME VARCHAR, EMAIL VARCHAR>", value = "user") final Struct struct) {
String processedEmail = struct.getString("EMAIL").toUpperCase();
struct.put("EMAIL", processedEmail);
return struct;
}
}
但是,在部署我的自定义 jar 时,我在 KSQL 日志中看到以下异常,在文档中找不到任何有关禁止此功能的内容,或者我在这里遗漏了什么:
使UDF返回STRUCT是否可行?
io.confluent.ksql.util.KsqlException: Could not load UDF method with signature: public org.apache.kafka.connect.data.Struct com.myudf.MyCustomUdf.MyCustomUdf(org.apache.kafka.connect.data.Struct)
at io.confluent.ksql.function.UdfLoader.getReturnType(UdfLoader.java:373)
at io.confluent.ksql.function.UdfLoader.addFunction(UdfLoader.java:280)
at io.confluent.ksql.function.UdfLoader.lambda$handleUdfAnnotation$8(UdfLoader.java:217)
at io.github.lukehutch.fastclasspathscanner.scanner.ScanSpec$9.lookForMatches(ScanSpec.java:1390)
at io.github.lukehutch.fastclasspathscanner.scanner.ScanSpec.callMatchProcessors(ScanSpec.java:696)
at io.github.lukehutch.fastclasspathscanner.FastClasspathScanner.scan(FastClasspathScanner.java:1606)
at io.github.lukehutch.fastclasspathscanner.FastClasspathScanner.scan(FastClasspathScanner.java:1678)
at io.github.lukehutch.fastclasspathscanner.FastClasspathScanner.scan(FastClasspathScanner.java:1704)
at io.confluent.ksql.function.UdfLoader.loadUdfs(UdfLoader.java:145)
at io.confluent.ksql.function.UdfLoader.lambda$load$2(UdfLoader.java:115)
at java.util.stream.ForEachOps$ForEachOp$OfRef.accept(ForEachOps.java:184)
at java.util.stream.ReferencePipeline$3$1.accept(ReferencePipeline.java:193)
at java.util.stream.ReferencePipeline$3$1.accept(ReferencePipeline.java:193)
at java.util.stream.ReferencePipeline$2$1.accept(ReferencePipeline.java:175)
at java.util.Iterator.forEachRemaining(Iterator.java:116)
at java.util.Spliterators$IteratorSpliterator.forEachRemaining(Spliterators.java:1801)
at java.util.stream.AbstractPipeline.copyInto(AbstractPipeline.java:481)
at java.util.stream.AbstractPipeline.wrapAndCopyInto(AbstractPipeline.java:471)
at java.util.stream.ForEachOps$ForEachOp.evaluateSequential(ForEachOps.java:151)
at java.util.stream.ForEachOps$ForEachOp$OfRef.evaluateSequential(ForEachOps.java:174)
at java.util.stream.AbstractPipeline.evaluate(AbstractPipeline.java:234)
at java.util.stream.ReferencePipeline.forEach(ReferencePipeline.java:418)
at io.confluent.ksql.function.UdfLoader.load(UdfLoader.java:115)
at io.confluent.ksql.rest.server.KsqlRestApplication.buildApplication(KsqlRestApplication.java:473)
at io.confluent.ksql.rest.server.KsqlRestApplication.buildApplication(KsqlRestApplication.java:441)
at io.confluent.ksql.rest.server.KsqlServerMain.createExecutable(KsqlServerMain.java:94)
at io.confluent.ksql.rest.server.KsqlServerMain.main(KsqlServerMain.java:59)
Caused by: io.confluent.ksql.util.KsqlException: Type inference is not supported for: class org.apache.kafka.connect.data.Struct
at io.confluent.ksql.util.SchemaUtil.handleParametrizedType(SchemaUtil.java:378)
at io.confluent.ksql.util.SchemaUtil.lambda$getSchemaFromType$5(SchemaUtil.java:158)
at io.confluent.ksql.util.SchemaUtil.getSchemaFromType(SchemaUtil.java:158)
at io.confluent.ksql.util.SchemaUtil.getSchemaFromType(SchemaUtil.java:153)
at io.confluent.ksql.function.UdfLoader.getReturnType(UdfLoader.java:366)
... 26 more
KSQL 不仅需要输入参数的模式,还需要 output 的模式。 在您的情况下,请确保在@Udf
注释中指定以下内容:
@Udf(description = "do stuff", schema="STRUCT<name VARCHAR, email VARCHAR>")
public Struct MyCustomUdf(@UdfParameter(schema = "struct <NAME VARCHAR, EMAIL VARCHAR>", value = "user") final Struct struct) {
...
}
看起来我们的文档中确实缺少这个! 我添加了一个问题以确保它得到解决( https://github.com/confluentinc/ksql/issues/3699 )。
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