dagster-slack 0.9.3

on Python PyPI

New

• Added step-level run history for partitioned schedules on the schedule view
• Added great_expectations integration, through the dagster_ge library. Example usage is under a new example, called ge_example, and documentation for the library can be found under the libraries section of apidocs.
• PythonObjectDagsterType can now take a tuple of types as well as a single type, more closely mirroring isinstance and allowing Union types to be represented in Dagster.
• The configured API can now be used on all definition types (including CompositeDefinition). Example usage has been updated in the configuration documentation (https://docs.dagster.io/overview/configuration).
• Descriptions for solid inputs and outputs will now be inferred from doc blocks if available (thanks @AndersonReyes (https://github.com/dagster-io/dagster/commits?author=AndersonReyes) !)
• Various documentation improvements (thanks @jeriscc (https://github.com/dagster-io/dagster/commits?author=jeriscc) !)
• Load inputs from pyspark dataframes (thanks @DavidKatz-il (https://github.com/dagster-io/dagster/commits?author=davidkatz-il) !)
• Updated Helm chart to include auto-generated user code configmap in user code deployment by default

Bugfixes

• Databricks now checks intermediate storage instead of system storage
• Fixes a bug where applying hooks on a pipeline with composite solids would flatten the top-level solids. Now applying hooks on pipelines or composite solids means attaching hooks to every single solid instance within the pipeline or the composite solid.
• Fixes the GraphQL playground hosted by dagit
• Fixes a bug where K8s CronJobs were stopped unnecessarily during schedule reconciliation
• Removed deprecated env param from CLI
• Renamed —host CLI param to —grpc_host to avoid conflict with dagit —host param

Experimental

• New dagster-k8s/config tag that lets users pass in custom configuration to the Kubernetes Job, Job metadata, JobSpec, PodSpec, and PodTemplateSpec metadata.
  • This allows users to specify settings like eviction policy annotations and node affinities.
  • Example:

    •     tags = {
            'dagster-k8s/config': {
              'container_config': {
                'resources': {
                  'requests': { 'cpu': '250m', 'memory': '64Mi' },
                  'limits': { 'cpu': '500m', 'memory': '2560Mi' },
                }
              },
              'pod_template_spec_metadata': {
                'annotations': { "cluster-autoscaler.kubernetes.io/safe-to-evict": "true"}
              },
              'pod_spec_config': {
                'affinity': {
                  'nodeAffinity': {
                    'requiredDuringSchedulingIgnoredDuringExecution': {
                      'nodeSelectorTerms': [{
                        'matchExpressions': [{
                          'key': 'beta.kubernetes.io/os', 'operator': 'In', 'values': ['windows', 'linux'],
                        }]
                      }]
                    }
                  }
                }
              },
            },
          },
        )
        def my_solid(context):
          context.log.info('running')```