zhengbm created FLINK-11862:
-------------------------------
Summary: 在同一条流上进行多次不同的sql，第二个sql的where条件不可用
Key: FLINK-11862
URL: https://issues.apache.org/jira/browse/FLINK-11862
Project: Flink
Issue Type: Bug
Components: API / Table SQL
Affects Versions: 1.7.2
Environment: flink 1.7版本 java 1.8
Reporter: zhengbm
List<String> fields = Lists.newArrayList("rawMessage","timestamp");
Schema schema = new Schema();
for (int i = 0; i < fields.size(); i++) {
schema.field(fields.get(i), Types.STRING()).from(fields.get(i));
}
tableEnvironment.connect(new Kafka()
.version("0.8")
.properties(properties)
.topic("raw_playtime_h5_source")
.startFromLatest()
)
.withFormat(new Json().failOnMissingField(false).deriveSchema())
.withSchema(schema)
.inAppendMode()
.registerTableSource("t1");
Table table2 = tableEnvironment
.sqlQuery("select maps,`timestamp`,CARDINALITY(maps) AS maps_length ,1 as
flash from t1 ,LATERAL TABLE(split(rawMessage,'\\t')) as T(maps) ");
tableEnvironment.registerTable("t2", table2);
Table table = tableEnvironment.sqlQuery("select `timestamp`,maps_length from t2
where maps_length>0");
TypeInformation typeInformation = table.getSchema().toRowType();
String[] columns = table.getSchema().getFieldNames();
DataStream<String> dataStream = tableEnvironment
.toAppendStream(table, typeInformation)
.map(new PhysicTransformMap(columns, 0));
dataStream.print();
try {
env.execute();
} catch (Exception e) {
e.printStackTrace();
}
注：kafka中的数据流格式如下\{"timestamp" : "xxxx","rawMessage":"xxx\txxx\txxxx\t"}
Exception in thread "main" org.apache.flink.table.codegen.CodeGenException:
Invalid input access.
at
org.apache.flink.table.codegen.CodeGenerator$$anonfun$15.apply(CodeGenerator.scala:587)
at
org.apache.flink.table.codegen.CodeGenerator$$anonfun$15.apply(CodeGenerator.scala:587)
at scala.Option.getOrElse(Option.scala:120)
at
org.apache.flink.table.codegen.CodeGenerator.visitInputRef(CodeGenerator.scala:587)
at
org.apache.flink.table.codegen.CodeGenerator.visitInputRef(CodeGenerator.scala:66)
at org.apache.calcite.rex.RexInputRef.accept(RexInputRef.java:112)
at
org.apache.flink.table.codegen.CodeGenerator$$anonfun$16.apply(CodeGenerator.scala:754)
at
org.apache.flink.table.codegen.CodeGenerator$$anonfun$16.apply(CodeGenerator.scala:744)
at
scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:245)
at
scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:245)
at
scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
at scala.collection.TraversableLike$class.map(TraversableLike.scala:245)
at scala.collection.AbstractTraversable.map(Traversable.scala:104)
at
org.apache.flink.table.codegen.CodeGenerator.visitCall(CodeGenerator.scala:744)
at
org.apache.flink.table.codegen.CodeGenerator.visitCall(CodeGenerator.scala:66)
at org.apache.calcite.rex.RexCall.accept(RexCall.java:107)
at
org.apache.flink.table.codegen.CodeGenerator$$anonfun$16.apply(CodeGenerator.scala:754)
at
org.apache.flink.table.codegen.CodeGenerator$$anonfun$16.apply(CodeGenerator.scala:744)
at
scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:245)
at
scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:245)
at
scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
at scala.collection.TraversableLike$class.map(TraversableLike.scala:245)
at scala.collection.AbstractTraversable.map(Traversable.scala:104)
at
org.apache.flink.table.codegen.CodeGenerator.visitCall(CodeGenerator.scala:744)
at
org.apache.flink.table.codegen.CodeGenerator.visitCall(CodeGenerator.scala:66)
at org.apache.calcite.rex.RexCall.accept(RexCall.java:107)
at
org.apache.flink.table.codegen.CodeGenerator.generateExpression(CodeGenerator.scala:247)
at
org.apache.flink.table.plan.nodes.CommonCorrelate$class.generateCollector(CommonCorrelate.scala:155)
at
org.apache.flink.table.plan.nodes.datastream.DataStreamCorrelate.generateCollector(DataStreamCorrelate.scala:38)
at
org.apache.flink.table.plan.nodes.datastream.DataStreamCorrelate.translateToPlan(DataStreamCorrelate.scala:116)
at
org.apache.flink.table.plan.nodes.datastream.DataStreamCalc.translateToPlan(DataStreamCalc.scala:97)
at
org.apache.flink.table.api.StreamTableEnvironment.translateToCRow(StreamTableEnvironment.scala:967)
at
org.apache.flink.table.api.StreamTableEnvironment.translate(StreamTableEnvironment.scala:894)
at
org.apache.flink.table.api.StreamTableEnvironment.translate(StreamTableEnvironment.scala:864)
at
org.apache.flink.table.api.java.StreamTableEnvironment.toAppendStream(StreamTableEnvironment.scala:224)
at
org.apache.flink.table.api.java.StreamTableEnvironment.toAppendStream(StreamTableEnvironment.scala:173)
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