Version 0.4.20150710

• Added support for per-window tables to BigQueryIO.
• Added support for a custom source implementation for Avro. See AvroSource for more details.
• Removed 250GiB Google Cloud Storage file size upload restriction.
• Fixed BigQueryIO.Write table creation bug in streaming mode.
• Changed Source.createReader() and BoundedSource.createReader() to be abstract.
• Moved Source.splitIntoBundles() to BoundedSource.splitIntoBundles().
• Added support for reading bounded views of a PubSub stream in PubsubIO for non-streaming Dataflow pipeline runners and DirectPipelineRunner.
• Added support for getting a Coder using a Class to the CoderRegistry.
• Changed CoderRegistry.registerCoder(Class<T>, Coder<T>) to enforce that the provided coder actually encodes values of the given class, and its use with raw types of generic classes is forbidden as it will rarely work correctly.
• Migrate to Create.withCoder() and CreateTimestamped.withCoder() instead of calling setCoder() on the outcoming PCollection when the Create PTransform is being applied.
• Added three successively more detailed WordCount examples.
• Removed PTransform.getDefaultName() which was redundant with PTransform.getKindString().
• Added support a unique name check for PTransform's during job creation.
• Removed PTransform.withName() and PTransform.setName(). The name of a transform is now immutable after construction. Library transforms (like Combine) can provide builder-like methods to change the name. Names can always be overridden at the location where the transform is applied using apply("name", transform).
• Added the ability to select the network for worker VMs using DataflowPipelineWorkerPoolOptions.setNetwork(String).