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Build cloud applications and infrastructure by combining the safety and reliability of infrastructure as code with the power of the Kotlin programming language.

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@file:Suppress("NAME_SHADOWING", "DEPRECATION")

package com.pulumi.gcp.bigquery.kotlin.outputs

import kotlin.Boolean
import kotlin.String
import kotlin.Suppress

/**
 *
 * @property mode When set, what mode of hive partitioning to use when
 * reading data. The following modes are supported.
 * * AUTO: automatically infer partition key name(s) and type(s).
 * * STRINGS: automatically infer partition key name(s). All types are
 * Not all storage formats support hive partitioning. Requesting hive
 * partitioning on an unsupported format will lead to an error.
 * Currently supported formats are: JSON, CSV, ORC, Avro and Parquet.
 * * CUSTOM: when set to `CUSTOM`, you must encode the partition key schema within the `source_uri_prefix` by setting `source_uri_prefix` to `gs://bucket/path_to_table/{key1:TYPE1}/{key2:TYPE2}/{key3:TYPE3}`.
 * @property requirePartitionFilter If set to true, queries over this table
 * require a partition filter that can be used for partition elimination to be
 * specified.
 * @property sourceUriPrefix When hive partition detection is requested,
 * a common for all source uris must be required. The prefix must end immediately
 * before the partition key encoding begins. For example, consider files following
 * this data layout. `gs://bucket/path_to_table/dt=2019-06-01/country=USA/id=7/file.avro`
 * `gs://bucket/path_to_table/dt=2019-05-31/country=CA/id=3/file.avro` When hive
 * partitioning is requested with either AUTO or STRINGS detection, the common prefix
 * can be either of `gs://bucket/path_to_table` or `gs://bucket/path_to_table/`.
 * Note that when `mode` is set to `CUSTOM`, you must encode the partition key schema within the `source_uri_prefix` by setting `source_uri_prefix` to `gs://bucket/path_to_table/{key1:TYPE1}/{key2:TYPE2}/{key3:TYPE3}`.
 */
public data class TableExternalDataConfigurationHivePartitioningOptions(
    public val mode: String? = null,
    public val requirePartitionFilter: Boolean? = null,
    public val sourceUriPrefix: String? = null,
) {
    public companion object {
        public fun toKotlin(javaType: com.pulumi.gcp.bigquery.outputs.TableExternalDataConfigurationHivePartitioningOptions): TableExternalDataConfigurationHivePartitioningOptions =
            TableExternalDataConfigurationHivePartitioningOptions(
                mode = javaType.mode().map({ args0 -> args0 }).orElse(null),
                requirePartitionFilter = javaType.requirePartitionFilter().map({ args0 -> args0 }).orElse(null),
                sourceUriPrefix = javaType.sourceUriPrefix().map({ args0 -> args0 }).orElse(null),
            )
    }
}




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