toMap method
Implementation
Map<String, dynamic> toMap() {
return <String, dynamic>{
'deletionPolicy': ?deletionPolicy,
'driverControlsFilesUri': ?driverControlsFilesUri,
'driverOutputResourceUri': ?driverOutputResourceUri,
'effectiveLabels': ?effectiveLabels,
'forceDelete': ?forceDelete,
'hadoopConfig': ?pulumi.Input.mapOptionalInputValue<JobHadoopConfig, Map<String, dynamic>>(hadoopConfig, (value) => value.toMap()),
'hiveConfig': ?pulumi.Input.mapOptionalInputValue<JobHiveConfig, Map<String, dynamic>>(hiveConfig, (value) => value.toMap()),
'labels': ?labels,
'pigConfig': ?pulumi.Input.mapOptionalInputValue<JobPigConfig, Map<String, dynamic>>(pigConfig, (value) => value.toMap()),
'placement': ?pulumi.Input.mapOptionalInputValue<JobPlacement, Map<String, dynamic>>(placement, (value) => value.toMap()),
'prestoConfig': ?pulumi.Input.mapOptionalInputValue<JobPrestoConfig, Map<String, dynamic>>(prestoConfig, (value) => value.toMap()),
'project': ?project,
'pulumiLabels': ?pulumiLabels,
'pysparkConfig': ?pulumi.Input.mapOptionalInputValue<JobPysparkConfig, Map<String, dynamic>>(pysparkConfig, (value) => value.toMap()),
'reference': ?pulumi.Input.mapOptionalInputValue<JobReference, Map<String, dynamic>>(reference, (value) => value.toMap()),
'region': ?region,
'scheduling': ?pulumi.Input.mapOptionalInputValue<JobScheduling, Map<String, dynamic>>(scheduling, (value) => value.toMap()),
'sparkConfig': ?pulumi.Input.mapOptionalInputValue<JobSparkConfig, Map<String, dynamic>>(sparkConfig, (value) => value.toMap()),
'sparksqlConfig': ?pulumi.Input.mapOptionalInputValue<JobSparksqlConfig, Map<String, dynamic>>(sparksqlConfig, (value) => value.toMap()),
'statuses': ?pulumi.Input.mapOptionalInputValue<List<JobStatus>, List<Map<String, dynamic>>>(statuses, (value) => pulumi.Input.encodeList<JobStatus, Map<String, dynamic>>(value, (value) => value.toMap())),
'waitForCompletion': ?waitForCompletion,
};
}