apache_beam.runners.interactive.background_caching_job module

Module to build and run background caching job.

For internal use only; no backwards-compatibility guarantees.

A background caching job is a job that captures events for all capturable sources of a given pipeline. With Interactive Beam, one such job is started when a pipeline run happens (which produces a main job in contrast to the background caching job) and meets the following conditions:

1. The pipeline contains capturable sources, configured through interactive_beam.options.capturable_sources.
2. No such background job is running.
3. No such background job has completed successfully and the cached events are still valid (invalidated when capturable sources change in the pipeline).

Once started, the background caching job runs asynchronously until it hits some capture limit configured in interactive_beam.options. Meanwhile, the main job and future main jobs from the pipeline will run using the deterministic replayable captured events until they are invalidated.

class apache_beam.runners.interactive.background_caching_job.BackgroundCachingJob(pipeline_result, start_limit_checkers=True)

Bases: object

A simple abstraction that controls necessary components of a timed and space limited background caching job.

A background caching job successfully complete source data capture in 2 conditions:

1. The job is finite and runs into DONE state;
2. The job is infinite but hits an interactive_beam.options configured limit and gets cancelled into CANCELLED/CANCELLING state.

In both situations, the background caching job should be treated as done successfully.

is_done()

is_running()

cancel()

Cancels this background caching job and its terminating timer because the job is invalidated and no longer useful.

This process cancels any non-terminated job and its terminating timer.

apache_beam.runners.interactive.background_caching_job.attempt_to_run_background_caching_job(runner, user_pipeline, options=None)

Attempts to run a background caching job for a user-defined pipeline.

The pipeline result is automatically tracked by Interactive Beam in case future cancellation/cleanup is needed.

apache_beam.runners.interactive.background_caching_job.is_background_caching_job_needed(user_pipeline)

Determines if a background caching job needs to be started.

It does several state checks and record state changes throughout the process. It is not idempotent to simplify the usage.

apache_beam.runners.interactive.background_caching_job.has_source_to_cache(user_pipeline)

Determines if a user-defined pipeline contains any source that need to be cached. If so, also immediately wrap current cache manager held by current interactive environment into a streaming cache if this has not been done. The wrapping doesn’t invalidate existing cache in any way.

This can help determining if a background caching job is needed to write cache for sources and if a test stream service is needed to serve the cache.

Throughout the check, if source-to-cache has changed from the last check, it also cleans up the invalidated cache early on.

apache_beam.runners.interactive.background_caching_job.attempt_to_cancel_background_caching_job(user_pipeline)

Attempts to cancel background caching job for a user-defined pipeline.

If no background caching job needs to be cancelled, NOOP. Otherwise, cancel such job.

apache_beam.runners.interactive.background_caching_job.attempt_to_stop_test_stream_service(user_pipeline)

Attempts to stop the gRPC server/service serving the test stream.

If there is no such server started, NOOP. Otherwise, stop it.

apache_beam.runners.interactive.background_caching_job.is_a_test_stream_service_running(user_pipeline)

Checks to see if there is a gPRC server/service running that serves the test stream to any job started from the given user_pipeline.

apache_beam.runners.interactive.background_caching_job.is_source_to_cache_changed(user_pipeline, update_cached_source_signature=True)

Determines if there is any change in the sources that need to be cached used by the user-defined pipeline.

Due to the expensiveness of computations and for the simplicity of usage, this function is not idempotent because Interactive Beam automatically discards previously tracked signature of transforms and tracks the current signature of transforms for the user-defined pipeline if there is any change.

When it’s True, there is addition/deletion/mutation of source transforms that requires a new background caching job.

apache_beam.runners.interactive.background_caching_job.extract_source_to_cache_signature(user_pipeline)

Extracts a set of signature for sources that need to be cached in the user-defined pipeline.

A signature is a str representation of urn and payload of a source.