String sql = "select CUSTOMER_ID, CITY, CUSTOMER_FIRSTTNAME from LIMA.CHECK_FLOW where CUSTOMER_ID < 1000";
Schema schema = Schema.of(
Schema.Field.of("CUSTOMER_ID", Schema.FieldType.INT32),
Schema.Field.of("CITY", Schema.FieldType.STRING),
Schema.Field.of("CUSTOMER_FIRSTTNAME", Schema.FieldType.STRING)
);
PCollection<Row> result = pipe.apply(JdbcIO.readRows()
.withDataSourceConfiguration(configuration)
.withQuery(sql)
.withFetchSize(1000)
).setCoder(RowCoder.of(schema)).setRowSchema(schema);
PipelineResult nRes = pipe.run();
We are testing out Beams to see if it fits our usecases. Above is a simple, example. I get the following error
Caused by: org.apache.beam.sdk.util.UserCodeException: java.lang.IllegalArgumentException
at org.apache.beam.sdk.util.UserCodeException.wrap(UserCodeException.java:39)
at org.apache.beam.sdk.io.jdbc.JdbcIO$ReadFn$DoFnInvoker.invokeProcessElement(Unknown Source)
at org.apache.beam.runners.core.SimpleDoFnRunner.invokeProcessElement(SimpleDoFnRunner.java:232)
at org.apache.beam.runners.core.SimpleDoFnRunner.processElement(SimpleDoFnRunner.java:191)
at org.apache.beam.runners.flink.metrics.DoFnRunnerWithMetricsUpdate.processElement(DoFnRunnerWithMetricsUpdate.java:62)
at org.apache.beam.runners.flink.translation.functions.FlinkDoFnFunction.flatMap(FlinkDoFnFunction.java:122)
at org.apache.beam.runners.flink.translation.functions.FlinkDoFnFunction.flatMap(FlinkDoFnFunction.java:59)
at org.apache.flink.runtime.operators.chaining.ChainedFlatMapDriver.collect(ChainedFlatMapDriver.java:79)
at org.apache.flink.runtime.operators.util.metrics.CountingCollector.collect(CountingCollector.java:35)
at org.apache.flink.runtime.operators.DataSourceTask.invoke(DataSourceTask.java:208)
at org.apache.flink.runtime.taskmanager.Task.doRun(Task.java:779)
at org.apache.flink.runtime.taskmanager.Task.run(Task.java:566)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.IllegalArgumentException
at org.apache.beam.vendor.guava.v26_0_jre.com.google.common.base.Preconditions.checkArgument(Preconditions.java:127)
at org.apache.beam.sdk.io.jdbc.LogicalTypes$FixedPrecisionNumeric.toInputType(LogicalTypes.java:268)
at org.apache.beam.sdk.io.jdbc.LogicalTypes$FixedPrecisionNumeric.toInputType(LogicalTypes.java:246)
at org.apache.beam.sdk.io.jdbc.SchemaUtil.lambda$createLogicalTypeExtractor$ca0ab2ec$1(SchemaUtil.java:279)
at org.apache.beam.sdk.io.jdbc.SchemaUtil$BeamRowMapper.mapRow(SchemaUtil.java:344)
at org.apache.beam.sdk.io.jdbc.SchemaUtil$BeamRowMapper.mapRow(SchemaUtil.java:322)
at org.apache.beam.sdk.io.jdbc.JdbcIO$ReadFn.processElement(JdbcIO.java:924)
Any help to resolve the error will be deeply appreciated.
I was facing the same issue and is resolved as part of this pull request .
The release will be out around January 2022. For now, you could apply the changes of this PR into your own project by creating theorg/apache/beam/sdk/io/jdbc/LogicalTypes.java class and copying the contents of this file in? I had the same advice.
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