dagster-slack 0.10.8

on Python PyPI

Community Contributions

• [dagster-dbt] The dbt commands seed and docs generate are now available as solids in the
  library dagster-dbt. (thanks @dehume-drizly!)

New

• Dagit now has a global search feature in the left navigation, allowing you to jump quickly to
  pipelines, schedules, and sensors across your workspace. You can trigger search by clicking the
  search input or with the / keyboard shortcut.

• Timestamps in Dagit have been updated to be more consistent throughout the app, and are now
  localized based on your browser’s settings.

• Adding SQLPollingEventWatcher for alternatives to filesystem or DB-specific listen/notify
  functionality

• We have added the BoolSource config type (similar to the StringSource type). The config value for
  this type can be a boolean literal or a pointer to an environment variable that is set to a boolean
  value.

• The QueuedRunCoordinator daemon is now more resilient to errors while dequeuing runs. Previously
  runs which could not launch would block the queue. They will now be marked as failed and removed
  from the queue.

• When deploying your own gRPC server for your pipelines, you can now specify that connecting to that
  server should use a secure SSL connection. For example, the following workspace.yaml file specifies
  that a secure connection should be used:

  load_from:
    - grpc_server:
        host: localhost
        port: 4266
        location_name: 'my_grpc_server'
        ssl: true

• The dagster-daemon process uses fewer resources and spins up fewer subprocesses to load pipeline
  information. Previously, the scheduler, sensor, and run queue daemon each spun up their own process
  for this–now they share a single process.

Integrations

• [Helm] - All images used in our Helm chart are now fully qualified, including a registry name.
  If you are encountering rate limits when attempting to pull images from DockerHub, you can now
  edit the Helm chart to pull from a registry of your choice.
• [Helm] - We now officially use Helm 3 to manage our Dagster Helm chart.
• [ECR] - We are now publishing the dagster-k8s, dagster-celery-k8s, user-code-example, and
  k8s-dagit-example images to a public ECR registry in addition to DockerHub. If you are
  encountering rate limits when attempting to pull images from DockerHub, you should now be able to
  pull these images from public.ecr.aws/dagster.
• [dagster-spark] - The dagster-spark config schemas now support loading values for all fields via
  environment variables.

Bugfixes

• Fixed a bug in the helm chart that would cause a Redis Kubernetes pod to be created even when an
  external Redis is configured. Now, the Redis Kubernetes pod is only created when redis.internal
  is set to True in helm chart.
• Fixed an issue where the dagster-daemon process sometimes left dangling subprocesses running
  during sensor execution, causing excess resource usage.
• Fixed an issue where Dagster sometimes left hanging threads running after pipeline execution.
• Fixed an issue where the sensor daemon would mistakenly mark itself as in an unhealthy state even
  after recovering from an error.
• Tags applied to solid invocations using the tag method on solid invocations (as opposed to solid
  definitions) are now correctly propagated during execution. They were previously being ignored.

Experimental

• MySQL (via dagster-mysql) is now supported as a backend for event log, run, & schedule storages.
  Add the following to your dagster.yaml to use MySQL for storage:

  run_storage:
    module: dagster_mysql.run_storage
    class: MySQLRunStorage
    config:
      mysql_db:
        username: { username }
        password: { password }
        hostname: { hostname }
        db_name: { database }
        port: { port }
  
  event_log_storage:
    module: dagster_mysql.event_log
    class: MySQLEventLogStorage
    config:
      mysql_db:
        username: { username }
        password: { password }
        hostname: { hostname }
        db_name: { db_name }
        port: { port }
  
  schedule_storage:
    module: dagster_mysql.schedule_storage
    class: MySQLScheduleStorage
    config:
      mysql_db:
        username: { username }
        password: { password }
        hostname: { hostname }
        db_name: { db_name }
        port: { port }