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132 lines
4.1 KiB
Markdown
132 lines
4.1 KiB
Markdown
---
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layout: "google"
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page_title: "Google: google_bigquery_table"
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sidebar_current: "docs-google-bigquery-table"
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description: |-
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Creates a table resource in a dataset for Google BigQuery.
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---
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# google_bigquery_table
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Creates a table resource in a dataset for Google BigQuery. For more information see
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[the official documentation](https://cloud.google.com/bigquery/docs/) and
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[API](https://cloud.google.com/bigquery/docs/reference/rest/v2/tables).
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## Example Usage
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```hcl
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resource "google_bigquery_dataset" "default" {
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dataset_id = "foo"
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friendly_name = "test"
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description = "This is a test description"
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location = "EU"
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default_table_expiration_ms = 3600000
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labels = {
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env = "default"
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}
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}
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resource "google_bigquery_table" "default" {
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dataset_id = "${google_bigquery_dataset.default.dataset_id}"
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table_id = "bar"
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time_partitioning {
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type = "DAY"
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}
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labels = {
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env = "default"
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}
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schema = "${file("schema.json")}"
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}
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```
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## Argument Reference
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The following arguments are supported:
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* `dataset_id` - (Required) The dataset ID to create the table in.
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Changing this forces a new resource to be created.
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* `table_id` - (Required) A unique ID for the resource.
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Changing this forces a new resource to be created.
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* `project` - (Optional) The ID of the project in which the resource belongs. If it
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is not provided, the provider project is used.
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* `description` - (Optional) The field description.
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* `expiration_time` - (Optional) The time when this table expires, in
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milliseconds since the epoch. If not present, the table will persist
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indefinitely. Expired tables will be deleted and their storage
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reclaimed.
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* `friendly_name` - (Optional) A descriptive name for the table.
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* `labels` - (Optional) A mapping of labels to assign to the resource.
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* `schema` - (Optional) A JSON schema for the table.
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* `time_partitioning` - (Optional) If specified, configures time-based
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partitioning for this table. Structure is documented below.
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* `view` - (Optional) If specified, configures this table as a view.
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Structure is documented below.
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The `time_partitioning` block supports:
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* `expiration_ms` - (Optional) Number of milliseconds for which to keep the
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storage for a partition.
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* `field` - (Optional) The field used to determine how to create a time-based
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partition. If time-based partitioning is enabled without this value, the
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table is partitioned based on the load time.
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* `type` - (Required) The only type supported is DAY, which will generate
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one partition per day based on data loading time.
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* `require_partition_filter` - (Optional) If set to true, queries over this table
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require a partition filter that can be used for partition elimination to be
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specified.
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The `view` block supports:
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* `query` - (Required) A query that BigQuery executes when the view is referenced.
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* `use_legacy_sql` - (Optional) Specifies whether to use BigQuery's legacy SQL for this view.
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The default value is true. If set to false, the view will use BigQuery's standard SQL.
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## Attributes Reference
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In addition to the arguments listed above, the following computed attributes are
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exported:
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* `creation_time` - The time when this table was created, in milliseconds since the epoch.
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* `etag` - A hash of the resource.
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* `last_modified_time` - The time when this table was last modified, in milliseconds since the epoch.
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* `location` - The geographic location where the table resides. This value is inherited from the dataset.
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* `num_bytes` - The size of this table in bytes, excluding any data in the streaming buffer.
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* `num_long_term_bytes` - The number of bytes in the table that are considered "long-term storage".
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* `num_rows` - The number of rows of data in this table, excluding any data in the streaming buffer.
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* `self_link` - The URI of the created resource.
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* `type` - Describes the table type.
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## Import
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BigQuery tables can be imported using the `project`, `dataset_id`, and `table_id`, e.g.
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```
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$ terraform import google_bigquery_table.default gcp-project:foo.bar
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```
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