Check state failed at IsmSideInputReader.createReadersFromSources

if a pipeline has a transform with a sideinput and you call `pipeline.run()` two times to create Dataflow jobs, the second job will see a runtime error below in Dataflow worker.
```

Error message from worker: java.lang.RuntimeException: java.lang.IllegalStateException: IsmSideInputReader
only supports IsmReader as a reader but was AvroByteReader.
org.apache.beam.runners.dataflow.worker.BatchModeExecutionContext.lambda$getSideInputReader$0(BatchModeExecutionContext.java:297)

org.apache.beam.vendor.guava.v26_0_jre.com.google.common.base.Suppliers$NonSerializableMemoizingSupplier.get(Suppliers.java:167)

org.apache.beam.runners.dataflow.worker.LazilyInitializedSideInputReader.get(LazilyInitializedSideInputReader.java:50)

org.apache.beam.runners.dataflow.worker.repackaged.org.apache.beam.runners.core.SimpleDoFnRunner.sideInput(SimpleDoFnRunner.java:267)

org.apache.beam.runners.dataflow.worker.repackaged.org.apache.beam.runners.core.SimpleDoFnRunner.access$1200(SimpleDoFnRunner.java:84)

org.apache.beam.runners.dataflow.worker.repackaged.org.apache.beam.runners.core.SimpleDoFnRunner$DoFnProcessContext.sideInput(SimpleDoFnRunner.java:395)

org.apache.beam.sdk.transforms.Contextful$Fn$Context$ContextFromProcessContext.sideInput(Contextful.java:100)

baeminbo.DoubleRunSideinputPipeline.lambda$main$38d062d6$1(DoubleRunSideinputPipeline.java:34)

org.apache.beam.sdk.transforms.MapElements$1.processElement(MapElements.java:143)
Caused by:
java.lang.IllegalStateException: IsmSideInputReader only supports IsmReader as a reader but was AvroByteReader.

org.apache.beam.vendor.guava.v26_0_jre.com.google.common.base.Preconditions.checkState(Preconditions.java:842)

org.apache.beam.runners.dataflow.worker.IsmSideInputReader.createReadersFromSources(IsmSideInputReader.java:253)

org.apache.beam.runners.dataflow.worker.IsmSideInputReader.(IsmSideInputReader.java:165)

org.apache.beam.runners.dataflow.worker.IsmSideInputReader.of(IsmSideInputReader.java:278)

org.apache.beam.runners.dataflow.worker.BatchModeExecutionContext.lambda$getSideInputReader$0(BatchModeExecutionContext.java:290)

org.apache.beam.vendor.guava.v26_0_jre.com.google.common.base.Suppliers$NonSerializableMemoizingSupplier.get(Suppliers.java:167)

org.apache.beam.runners.dataflow.worker.LazilyInitializedSideInputReader.get(LazilyInitializedSideInputReader.java:50)

org.apache.beam.runners.dataflow.worker.repackaged.org.apache.beam.runners.core.SimpleDoFnRunner.sideInput(SimpleDoFnRunner.java:267)

org.apache.beam.runners.dataflow.worker.repackaged.org.apache.beam.runners.core.SimpleDoFnRunner.access$1200(SimpleDoFnRunner.java:84)

org.apache.beam.runners.dataflow.worker.repackaged.org.apache.beam.runners.core.SimpleDoFnRunner$DoFnProcessContext.sideInput(SimpleDoFnRunner.java:395)

org.apache.beam.sdk.transforms.Contextful$Fn$Context$ContextFromProcessContext.sideInput(Contextful.java:100)

baeminbo.DoubleRunSideinputPipeline.lambda$main$38d062d6$1(DoubleRunSideinputPipeline.java:34)

org.apache.beam.sdk.transforms.MapElements$1.processElement(MapElements.java:143)
org.apache.beam.sdk.transforms.MapElements$1$DoFnInvoker.invokeProcessElement(Unknown
Source)
org.apache.beam.runners.dataflow.worker.repackaged.org.apache.beam.runners.core.SimpleDoFnRunner.invokeProcessElement(SimpleDoFnRunner.java:232)

org.apache.beam.runners.dataflow.worker.repackaged.org.apache.beam.runners.core.SimpleDoFnRunner.processElement(SimpleDoFnRunner.java:188)

org.apache.beam.runners.dataflow.worker.SimpleParDoFn.processElement(SimpleParDoFn.java:339)

org.apache.beam.runners.dataflow.worker.util.common.worker.ParDoOperation.process(ParDoOperation.java:44)

org.apache.beam.runners.dataflow.worker.util.common.worker.OutputReceiver.process(OutputReceiver.java:49)

org.apache.beam.runners.dataflow.worker.util.common.worker.ReadOperation.runReadLoop(ReadOperation.java:212)

org.apache.beam.runners.dataflow.worker.util.common.worker.ReadOperation.start(ReadOperation.java:163)

org.apache.beam.runners.dataflow.worker.util.common.worker.MapTaskExecutor.execute(MapTaskExecutor.java:92)

org.apache.beam.runners.dataflow.worker.BatchDataflowWorker.executeWork(BatchDataflowWorker.java:420)

org.apache.beam.runners.dataflow.worker.BatchDataflowWorker.doWork(BatchDataflowWorker.java:389)

org.apache.beam.runners.dataflow.worker.BatchDataflowWorker.getAndPerformWork(BatchDataflowWorker.java:314)

org.apache.beam.runners.dataflow.worker.DataflowBatchWorkerHarness$WorkerThread.doWork(DataflowBatchWorkerHarness.java:140)

org.apache.beam.runners.dataflow.worker.DataflowBatchWorkerHarness$WorkerThread.call(DataflowBatchWorkerHarness.java:120)

org.apache.beam.runners.dataflow.worker.DataflowBatchWorkerHarness$WorkerThread.call(DataflowBatchWorkerHarness.java:107)

java.base/java.util.concurrent.FutureTask.run(FutureTask.java:264)
java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1128)

java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:628)

java.base/java.lang.Thread.run(Thread.java:834)

```

You can reproduce this issue with [this sample pipeline](https://github.com/baeminbo/dataflow-pipelines/tree/master/double-run-sideinput/)

Imported from Jira [BEAM-12618](https://issues.apache.org/jira/browse/BEAM-12618). Original Jira may contain additional context.
Reported by: baeminbo.

Reproduce the failure with the linked double-run-sideinput sample pipeline, then read IsmSideInputReader.java and BatchModeExecutionContext.java around the stack-trace locations. Trace why the second pipeline run supplies an AvroByteReader where an IsmReader is expected; done means both Dataflow jobs run successfully with the side input and the regression is covered.

Written by the indexing model from the issue text.