A representation of a batch workload in the service.
This message hasoneof_ fields (mutually exclusive fields).
For each oneof, at most one member field can be set at the same time.
Setting any member of the oneof automatically clears all other
members.
str Output only. Batch state details, such as a failure
description if the state isFAILED.
state_time
google.protobuf.timestamp_pb2.Timestamp Output only. The time when the batch entered
a current state.
creator
str Output only. The email address of the user
who created the batch.
labels
MutableMapping[str, str] Optional. The labels to associate with this batch. Label
**keys** must contain 1 to 63 characters, and must conform
toRFC 1035__.
Label **values** may be empty, but, if present, must contain
1 to 63 characters, and must conform to `RFC
1035
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Hard to understand","hardToUnderstand","thumb-down"],["Incorrect information or sample code","incorrectInformationOrSampleCode","thumb-down"],["Missing the information/samples I need","missingTheInformationSamplesINeed","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-09-04 UTC."],[],[],null,["# Class Batch (5.21.0)\n\nVersion latestkeyboard_arrow_down\n\n- [5.21.0 (latest)](/python/docs/reference/dataproc/latest/google.cloud.dataproc_v1.types.Batch)\n- [5.20.0](/python/docs/reference/dataproc/5.20.0/google.cloud.dataproc_v1.types.Batch)\n- [5.18.1](/python/docs/reference/dataproc/5.18.1/google.cloud.dataproc_v1.types.Batch)\n- [5.17.1](/python/docs/reference/dataproc/5.17.1/google.cloud.dataproc_v1.types.Batch)\n- [5.16.0](/python/docs/reference/dataproc/5.16.0/google.cloud.dataproc_v1.types.Batch)\n- [5.15.1](/python/docs/reference/dataproc/5.15.1/google.cloud.dataproc_v1.types.Batch)\n- [5.14.0](/python/docs/reference/dataproc/5.14.0/google.cloud.dataproc_v1.types.Batch)\n- [5.13.0](/python/docs/reference/dataproc/5.13.0/google.cloud.dataproc_v1.types.Batch)\n- [5.12.0](/python/docs/reference/dataproc/5.12.0/google.cloud.dataproc_v1.types.Batch)\n- [5.10.2](/python/docs/reference/dataproc/5.10.2/google.cloud.dataproc_v1.types.Batch)\n- [5.9.3](/python/docs/reference/dataproc/5.9.3/google.cloud.dataproc_v1.types.Batch)\n- [5.8.0](/python/docs/reference/dataproc/5.8.0/google.cloud.dataproc_v1.types.Batch)\n- [5.7.0](/python/docs/reference/dataproc/5.7.0/google.cloud.dataproc_v1.types.Batch)\n- [5.6.0](/python/docs/reference/dataproc/5.6.0/google.cloud.dataproc_v1.types.Batch)\n- [5.5.1](/python/docs/reference/dataproc/5.5.1/google.cloud.dataproc_v1.types.Batch)\n- [5.4.3](/python/docs/reference/dataproc/5.4.3/google.cloud.dataproc_v1.types.Batch)\n- [5.3.0](/python/docs/reference/dataproc/5.3.0/google.cloud.dataproc_v1.types.Batch)\n- [5.2.0](/python/docs/reference/dataproc/5.2.0/google.cloud.dataproc_v1.types.Batch)\n- [5.1.0](/python/docs/reference/dataproc/5.1.0/google.cloud.dataproc_v1.types.Batch)\n- [5.0.3](/python/docs/reference/dataproc/5.0.3/google.cloud.dataproc_v1.types.Batch)\n- [4.0.3](/python/docs/reference/dataproc/4.0.3/google.cloud.dataproc_v1.types.Batch)\n- [3.3.2](/python/docs/reference/dataproc/3.3.2/google.cloud.dataproc_v1.types.Batch)\n- [3.2.0](/python/docs/reference/dataproc/3.2.0/google.cloud.dataproc_v1.types.Batch)\n- [3.1.1](/python/docs/reference/dataproc/3.1.1/google.cloud.dataproc_v1.types.Batch)\n- [3.0.0](/python/docs/reference/dataproc/3.0.0/google.cloud.dataproc_v1.types.Batch)\n- [2.6.2](/python/docs/reference/dataproc/2.6.2/google.cloud.dataproc_v1.types.Batch)\n- [2.5.0](/python/docs/reference/dataproc/2.5.0/google.cloud.dataproc_v1.types.Batch)\n- [2.4.0](/python/docs/reference/dataproc/2.4.0/google.cloud.dataproc_v1.types.Batch)\n- [2.3.1](/python/docs/reference/dataproc/2.3.1/google.cloud.dataproc_v1.types.Batch)\n- [2.2.0](/python/docs/reference/dataproc/2.2.0/google.cloud.dataproc_v1.types.Batch)\n- [2.0.2](/python/docs/reference/dataproc/2.0.2/google.cloud.dataproc_v1.types.Batch)\n- [1.1.3](/python/docs/reference/dataproc/1.1.3/google.cloud.dataproc_v1.types.Batch)\n- [1.0.1](/python/docs/reference/dataproc/1.0.1/google.cloud.dataproc_v1.types.Batch)\n- [0.8.2](/python/docs/reference/dataproc/0.8.2/google.cloud.dataproc_v1.types.Batch)\n- [0.7.0](/python/docs/reference/dataproc/0.7.0/google.cloud.dataproc_v1.types.Batch)\n- [0.6.1](/python/docs/reference/dataproc/0.6.1/google.cloud.dataproc_v1.types.Batch)\n- [0.5.0](/python/docs/reference/dataproc/0.5.0/google.cloud.dataproc_v1.types.Batch) \n\n Batch(mapping=None, *, ignore_unknown_fields=False, **kwargs)\n\nA representation of a batch workload in the service.\n\nThis message has `oneof`_ fields (mutually exclusive fields).\nFor each oneof, at most one member field can be set at the same time.\nSetting any member of the oneof automatically clears all other\nmembers.\n\n.. _oneof: \u003chttps://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields\u003e\n\nClasses\n-------\n\n### LabelsEntry\n\n LabelsEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)\n\nThe abstract base class for a message.\n\n### State\n\n State(value)\n\nThe batch state.\n\n### StateHistory\n\n StateHistory(mapping=None, *, ignore_unknown_fields=False, **kwargs)\n\nHistorical state information."]]