Class AutotuningConfig (5.21.0)
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AutotuningConfig(mapping=None, *, ignore_unknown_fields=False, **kwargs)
Autotuning configuration of the workload.
Classes
Scenario
Scenario represents a specific goal that autotuning will
attempt to achieve by modifying workloads.
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Last updated 2025-08-07 UTC.
[[["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 2025-08-07 UTC."],[],[],null,["# Class AutotuningConfig (5.21.0)\n\nVersion latestkeyboard_arrow_down\n\n- [5.21.0 (latest)](/python/docs/reference/dataproc/latest/google.cloud.dataproc_v1.types.AutotuningConfig)\n- [5.20.0](/python/docs/reference/dataproc/5.20.0/google.cloud.dataproc_v1.types.AutotuningConfig)\n- [5.18.1](/python/docs/reference/dataproc/5.18.1/google.cloud.dataproc_v1.types.AutotuningConfig)\n- [5.17.1](/python/docs/reference/dataproc/5.17.1/google.cloud.dataproc_v1.types.AutotuningConfig)\n- [5.16.0](/python/docs/reference/dataproc/5.16.0/google.cloud.dataproc_v1.types.AutotuningConfig)\n- [5.15.1](/python/docs/reference/dataproc/5.15.1/google.cloud.dataproc_v1.types.AutotuningConfig)\n- [5.14.0](/python/docs/reference/dataproc/5.14.0/google.cloud.dataproc_v1.types.AutotuningConfig)\n- [5.13.0](/python/docs/reference/dataproc/5.13.0/google.cloud.dataproc_v1.types.AutotuningConfig)\n- [5.12.0](/python/docs/reference/dataproc/5.12.0/google.cloud.dataproc_v1.types.AutotuningConfig)\n- [5.10.2](/python/docs/reference/dataproc/5.10.2/google.cloud.dataproc_v1.types.AutotuningConfig)\n- [5.9.3](/python/docs/reference/dataproc/5.9.3/google.cloud.dataproc_v1.types.AutotuningConfig)\n- [5.8.0](/python/docs/reference/dataproc/5.8.0/google.cloud.dataproc_v1.types.AutotuningConfig)\n- [5.7.0](/python/docs/reference/dataproc/5.7.0/google.cloud.dataproc_v1.types.AutotuningConfig)\n- [5.6.0](/python/docs/reference/dataproc/5.6.0/google.cloud.dataproc_v1.types.AutotuningConfig)\n- [5.5.1](/python/docs/reference/dataproc/5.5.1/google.cloud.dataproc_v1.types.AutotuningConfig)\n- [5.4.3](/python/docs/reference/dataproc/5.4.3/google.cloud.dataproc_v1.types.AutotuningConfig)\n- [5.3.0](/python/docs/reference/dataproc/5.3.0/google.cloud.dataproc_v1.types.AutotuningConfig)\n- [5.2.0](/python/docs/reference/dataproc/5.2.0/google.cloud.dataproc_v1.types.AutotuningConfig)\n- [5.1.0](/python/docs/reference/dataproc/5.1.0/google.cloud.dataproc_v1.types.AutotuningConfig)\n- [5.0.3](/python/docs/reference/dataproc/5.0.3/google.cloud.dataproc_v1.types.AutotuningConfig)\n- [4.0.3](/python/docs/reference/dataproc/4.0.3/google.cloud.dataproc_v1.types.AutotuningConfig)\n- [3.3.2](/python/docs/reference/dataproc/3.3.2/google.cloud.dataproc_v1.types.AutotuningConfig)\n- [3.2.0](/python/docs/reference/dataproc/3.2.0/google.cloud.dataproc_v1.types.AutotuningConfig)\n- [3.1.1](/python/docs/reference/dataproc/3.1.1/google.cloud.dataproc_v1.types.AutotuningConfig)\n- [3.0.0](/python/docs/reference/dataproc/3.0.0/google.cloud.dataproc_v1.types.AutotuningConfig)\n- [2.6.2](/python/docs/reference/dataproc/2.6.2/google.cloud.dataproc_v1.types.AutotuningConfig)\n- [2.5.0](/python/docs/reference/dataproc/2.5.0/google.cloud.dataproc_v1.types.AutotuningConfig)\n- [2.4.0](/python/docs/reference/dataproc/2.4.0/google.cloud.dataproc_v1.types.AutotuningConfig)\n- [2.3.1](/python/docs/reference/dataproc/2.3.1/google.cloud.dataproc_v1.types.AutotuningConfig)\n- [2.2.0](/python/docs/reference/dataproc/2.2.0/google.cloud.dataproc_v1.types.AutotuningConfig)\n- [2.0.2](/python/docs/reference/dataproc/2.0.2/google.cloud.dataproc_v1.types.AutotuningConfig)\n- [1.1.3](/python/docs/reference/dataproc/1.1.3/google.cloud.dataproc_v1.types.AutotuningConfig)\n- [1.0.1](/python/docs/reference/dataproc/1.0.1/google.cloud.dataproc_v1.types.AutotuningConfig)\n- [0.8.2](/python/docs/reference/dataproc/0.8.2/google.cloud.dataproc_v1.types.AutotuningConfig)\n- [0.7.0](/python/docs/reference/dataproc/0.7.0/google.cloud.dataproc_v1.types.AutotuningConfig)\n- [0.6.1](/python/docs/reference/dataproc/0.6.1/google.cloud.dataproc_v1.types.AutotuningConfig)\n- [0.5.0](/python/docs/reference/dataproc/0.5.0/google.cloud.dataproc_v1.types.AutotuningConfig) \n\n AutotuningConfig(mapping=None, *, ignore_unknown_fields=False, **kwargs)\n\nAutotuning configuration of the workload.\n\nClasses\n-------\n\n### Scenario\n\n Scenario(value)\n\nScenario represents a specific goal that autotuning will\nattempt to achieve by modifying workloads."]]
