---
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subcategory: "Biglake"
description: |-
  Represents a table.
---

# google_biglake_table

Represents a table.


To get more information about Table, see:

* [API documentation](https://cloud.google.com/bigquery/docs/reference/biglake/rest/v1/projects.locations.catalogs.databases.tables)
* How-to Guides
    * [Manage open source metadata with BigLake Metastore](https://cloud.google.com/bigquery/docs/manage-open-source-metadata#create_tables)

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## Example Usage - Biglake Table


```hcl
resource "google_biglake_catalog" "catalog" {
    name = "my_catalog"
    location = "US"
}

resource "google_storage_bucket" "bucket" {
  name                        = "my_bucket"
  location                    = "US"
  force_destroy               = true
  uniform_bucket_level_access = true
}

resource "google_storage_bucket_object" "metadata_folder" {
  name    = "metadata/"
  content = " "
  bucket  = google_storage_bucket.bucket.name
}


resource "google_storage_bucket_object" "data_folder" {
  name    = "data/"
  content = " "
  bucket  = google_storage_bucket.bucket.name
}

resource "google_biglake_database" "database" {
    name = "my_database"
    catalog = google_biglake_catalog.catalog.id
    type = "HIVE"
    hive_options {
        location_uri = "gs://${google_storage_bucket.bucket.name}/${google_storage_bucket_object.metadata_folder.name}"
        parameters = {
          "owner" = "Alex"
        }
    }
}

resource "google_biglake_table" "table" {
    name = "my_table"
    database = google_biglake_database.database.id
    type = "HIVE"
    hive_options {
      table_type = "MANAGED_TABLE"
      storage_descriptor {
        location_uri = "gs://${google_storage_bucket.bucket.name}/${google_storage_bucket_object.data_folder.name}"
        input_format  = "org.apache.hadoop.mapred.SequenceFileInputFormat"
        output_format = "org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat"
      }
      # Some Example Parameters.
      parameters = {
        "spark.sql.create.version" = "3.1.3"
        "spark.sql.sources.schema.numParts" = "1"
        "transient_lastDdlTime" = "1680894197"
        "spark.sql.partitionProvider" = "catalog"
        "owner" = "John Doe"
        "spark.sql.sources.schema.part.0"= "{\"type\":\"struct\",\"fields\":[{\"name\":\"id\",\"type\":\"integer\",\"nullable\":true,\"metadata\":{}},{\"name\":\"name\",\"type\":\"string\",\"nullable\":true,\"metadata\":{}},{\"name\":\"age\",\"type\":\"integer\",\"nullable\":true,\"metadata\":{}}]}"
        "spark.sql.sources.provider" = "iceberg"
        "provider" = "iceberg"
      }
  }
}
```

## Argument Reference

The following arguments are supported:


* `name` -
  (Required)
  Output only. The name of the Table. Format:
  projects/{project_id_or_number}/locations/{locationId}/catalogs/{catalogId}/databases/{databaseId}/tables/{tableId}


- - -


* `type` -
  (Optional)
  The database type.
  Possible values are: `HIVE`.

* `hive_options` -
  (Optional)
  Options of a Hive table.
  Structure is [documented below](#nested_hive_options).

* `database` -
  (Optional)
  The id of the parent database.


<a name="nested_hive_options"></a>The `hive_options` block supports:

* `parameters` -
  (Optional)
  Stores user supplied Hive table parameters. An object containing a
  list of "key": value pairs.
  Example: { "name": "wrench", "mass": "1.3kg", "count": "3" }.

* `table_type` -
  (Optional)
  Hive table type. For example, MANAGED_TABLE, EXTERNAL_TABLE.

* `storage_descriptor` -
  (Optional)
  Stores physical storage information on the data.
  Structure is [documented below](#nested_storage_descriptor).


<a name="nested_storage_descriptor"></a>The `storage_descriptor` block supports:

* `location_uri` -
  (Optional)
  Cloud Storage folder URI where the table data is stored, starting with "gs://".

* `input_format` -
  (Optional)
  The fully qualified Java class name of the input format.

* `output_format` -
  (Optional)
  The fully qualified Java class name of the output format.

## Attributes Reference

In addition to the arguments listed above, the following computed attributes are exported:

* `id` - an identifier for the resource with format `{{database}}/tables/{{name}}`

* `create_time` -
  Output only. The creation time of the table. A timestamp in RFC3339 UTC
  "Zulu" format, with nanosecond resolution and up to nine fractional
  digits. Examples: "2014-10-02T15:01:23Z" and
  "2014-10-02T15:01:23.045123456Z".

* `update_time` -
  Output only. The last modification time of the table. A timestamp in
  RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine
  fractional digits. Examples: "2014-10-02T15:01:23Z" and
  "2014-10-02T15:01:23.045123456Z".

* `delete_time` -
  Output only. The deletion time of the table. Only set after the
  table is deleted. A timestamp in RFC3339 UTC "Zulu" format, with
  nanosecond resolution and up to nine fractional digits. Examples:
  "2014-10-02T15:01:23Z" and "2014-10-02T15:01:23.045123456Z".

* `expire_time` -
  Output only. The time when this table is considered expired. Only set
  after the table is deleted. A timestamp in RFC3339 UTC "Zulu" format,
  with nanosecond resolution and up to nine fractional digits. Examples:
  "2014-10-02T15:01:23Z" and "2014-10-02T15:01:23.045123456Z".

* `etag` -
  The checksum of a table object computed by the server based on the value
  of other fields. It may be sent on update requests to ensure the client
  has an up-to-date value before proceeding. It is only checked for update
  table operations.


## Timeouts

This resource provides the following
[Timeouts](https://developer.hashicorp.com/terraform/plugin/sdkv2/resources/retries-and-customizable-timeouts) configuration options:

- `create` - Default is 20 minutes.
- `update` - Default is 20 minutes.
- `delete` - Default is 20 minutes.

## Import


Table can be imported using any of these accepted formats:

* `{{database}}/tables/{{name}}`


In Terraform v1.5.0 and later, use an [`import` block](https://developer.hashicorp.com/terraform/language/import) to import Table using one of the formats above. For example:

```tf
import {
  id = "{{database}}/tables/{{name}}"
  to = google_biglake_table.default
}
```

When using the [`terraform import` command](https://developer.hashicorp.com/terraform/cli/commands/import), Table can be imported using one of the formats above. For example:

```
$ terraform import google_biglake_table.default {{database}}/tables/{{name}}
```