---
title: Getting Started with Datadog
description: Datadog, the leading service for cloud-scale monitoring.
breadcrumbs: Docs > Infrastructure > Datadog Resource Catalog
---

# gcp_bigquery_table{% #gcp_bigquery_table %}

## `ancestors`{% #ancestors %}

**Type**: `UNORDERED_LIST_STRING`

## `clone_definition`{% #clone_definition %}

**Type**: `STRUCT`**Provider name**: `cloneDefinition`**Description**: [Output-only] Clone definition.

- `base_table_reference`**Type**: `STRUCT`**Provider name**: `baseTableReference`**Description**: [Required] Reference describing the ID of the table that was cloned.
  - `dataset_id`**Type**: `STRING`**Provider name**: `datasetId`**Description**: [Required] The ID of the dataset containing this table.
  - `project_id`**Type**: `STRING`**Provider name**: `projectId`**Description**: [Required] The ID of the project containing this table.
  - `table_id`**Type**: `STRING`**Provider name**: `tableId`**Description**: [Required] The ID of the table. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 1,024 characters.
- `clone_time`**Type**: `TIMESTAMP`**Provider name**: `cloneTime`**Description**: [Required] The time at which the base table was cloned. This value is reported in the JSON response using RFC3339 format.

## `clustering`{% #clustering %}

**Type**: `STRUCT`**Provider name**: `clustering`**Description**: [Beta] Clustering specification for the table. Must be specified with partitioning, data in the table will be first partitioned and subsequently clustered.

## `creation_time`{% #creation_time %}

**Type**: `INT64`**Provider name**: `creationTime`**Description**: [Output-only] The time when this table was created, in milliseconds since the epoch.

## `default_collation`{% #default_collation %}

**Type**: `STRING`**Provider name**: `defaultCollation`**Description**: [Output-only] The default collation of the table.

## `default_rounding_mode`{% #default_rounding_mode %}

**Type**: `STRING`**Provider name**: `defaultRoundingMode`**Description**: [Output-only] The default rounding mode of the table.

## `description`{% #description %}

**Type**: `STRING`**Provider name**: `description`**Description**: [Optional] A user-friendly description of this table.

## `encryption_configuration`{% #encryption_configuration %}

**Type**: `STRUCT`**Provider name**: `encryptionConfiguration`**Description**: Custom encryption configuration (e.g., Cloud KMS keys).

- `kms_key_name`**Type**: `STRING`**Provider name**: `kmsKeyName`**Description**: Optional. Describes the Cloud KMS encryption key that will be used to protect destination BigQuery table. The BigQuery Service Account associated with your project requires access to this encryption key.

## `etag`{% #etag %}

**Type**: `STRING`**Provider name**: `etag`**Description**: [Output-only] A hash of the table metadata. Used to ensure there were no concurrent modifications to the resource when attempting an update. Not guaranteed to change when the table contents or the fields numRows, numBytes, numLongTermBytes or lastModifiedTime change.

## `expiration_time`{% #expiration_time %}

**Type**: `INT64`**Provider name**: `expirationTime`**Description**: [Optional] The time when this table expires, in milliseconds since the epoch. If not present, the table will persist indefinitely. Expired tables will be deleted and their storage reclaimed. The defaultTableExpirationMs property of the encapsulating dataset can be used to set a default expirationTime on newly created tables.

## `external_data_configuration`{% #external_data_configuration %}

**Type**: `STRUCT`**Provider name**: `externalDataConfiguration`**Description**: [Optional] Describes the data format, location, and other properties of a table stored outside of BigQuery. By defining these properties, the data source can then be queried as if it were a standard BigQuery table.

- `autodetect`**Type**: `BOOLEAN`**Provider name**: `autodetect`**Description**: Try to detect schema and format options automatically. Any option specified explicitly will be honored.

- `avro_options`**Type**: `STRUCT`**Provider name**: `avroOptions`**Description**: Additional properties to set if sourceFormat is set to Avro.

  - `use_avro_logical_types`**Type**: `BOOLEAN`**Provider name**: `useAvroLogicalTypes`**Description**: [Optional] If sourceFormat is set to "AVRO", indicates whether to interpret logical types as the corresponding BigQuery data type (for example, TIMESTAMP), instead of using the raw type (for example, INTEGER).

- `bigtable_options`**Type**: `STRUCT`**Provider name**: `bigtableOptions`**Description**: [Optional] Additional options if sourceFormat is set to BIGTABLE.

  - `column_families`**Type**: `UNORDERED_LIST_STRUCT`**Provider name**: `columnFamilies`**Description**: [Optional] List of column families to expose in the table schema along with their types. This list restricts the column families that can be referenced in queries and specifies their value types. You can use this list to do type conversions - see the 'type' field for more details. If you leave this list empty, all column families are present in the table schema and their values are read as BYTES. During a query only the column families referenced in that query are read from Bigtable.
    - `columns`**Type**: `UNORDERED_LIST_STRUCT`**Provider name**: `columns`**Description**: [Optional] Lists of columns that should be exposed as individual fields as opposed to a list of (column name, value) pairs. All columns whose qualifier matches a qualifier in this list can be accessed as .. Other columns can be accessed as a list through .Column field.
      - `encoding`**Type**: `STRING`**Provider name**: `encoding`**Description**: [Optional] The encoding of the values when the type is not STRING. Acceptable encoding values are: TEXT - indicates values are alphanumeric text strings. BINARY - indicates values are encoded using HBase Bytes.toBytes family of functions. 'encoding' can also be set at the column family level. However, the setting at this level takes precedence if 'encoding' is set at both levels.
      - `field_name`**Type**: `STRING`**Provider name**: `fieldName`**Description**: [Optional] If the qualifier is not a valid BigQuery field identifier i.e. does not match [a-zA-Z][a-zA-Z0-9_]*, a valid identifier must be provided as the column field name and is used as field name in queries.
      - `only_read_latest`**Type**: `BOOLEAN`**Provider name**: `onlyReadLatest`**Description**: [Optional] If this is set, only the latest version of value in this column are exposed. 'onlyReadLatest' can also be set at the column family level. However, the setting at this level takes precedence if 'onlyReadLatest' is set at both levels.
      - `qualifier_string`**Type**: `STRING`**Provider name**: `qualifierString`
      - `type`**Type**: `STRING`**Provider name**: `type`**Description**: [Optional] The type to convert the value in cells of this column. The values are expected to be encoded using HBase Bytes.toBytes function when using the BINARY encoding value. Following BigQuery types are allowed (case-sensitive) - BYTES STRING INTEGER FLOAT BOOLEAN Default type is BYTES. 'type' can also be set at the column family level. However, the setting at this level takes precedence if 'type' is set at both levels.
    - `encoding`**Type**: `STRING`**Provider name**: `encoding`**Description**: [Optional] The encoding of the values when the type is not STRING. Acceptable encoding values are: TEXT - indicates values are alphanumeric text strings. BINARY - indicates values are encoded using HBase Bytes.toBytes family of functions. This can be overridden for a specific column by listing that column in 'columns' and specifying an encoding for it.
    - `family_id`**Type**: `STRING`**Provider name**: `familyId`**Description**: Identifier of the column family.
    - `only_read_latest`**Type**: `BOOLEAN`**Provider name**: `onlyReadLatest`**Description**: [Optional] If this is set only the latest version of value are exposed for all columns in this column family. This can be overridden for a specific column by listing that column in 'columns' and specifying a different setting for that column.
    - `type`**Type**: `STRING`**Provider name**: `type`**Description**: [Optional] The type to convert the value in cells of this column family. The values are expected to be encoded using HBase Bytes.toBytes function when using the BINARY encoding value. Following BigQuery types are allowed (case-sensitive) - BYTES STRING INTEGER FLOAT BOOLEAN Default type is BYTES. This can be overridden for a specific column by listing that column in 'columns' and specifying a type for it.
  - `ignore_unspecified_column_families`**Type**: `BOOLEAN`**Provider name**: `ignoreUnspecifiedColumnFamilies`**Description**: [Optional] If field is true, then the column families that are not specified in columnFamilies list are not exposed in the table schema. Otherwise, they are read with BYTES type values. The default value is false.
  - `read_rowkey_as_string`**Type**: `BOOLEAN`**Provider name**: `readRowkeyAsString`**Description**: [Optional] If field is true, then the rowkey column families will be read and converted to string. Otherwise they are read with BYTES type values and users need to manually cast them with CAST if necessary. The default value is false.

- `compression`**Type**: `STRING`**Provider name**: `compression`**Description**: [Optional] The compression type of the data source. Possible values include GZIP and NONE. The default value is NONE. This setting is ignored for Google Cloud Bigtable, Google Cloud Datastore backups and Avro formats.

- `connection_id`**Type**: `STRING`**Provider name**: `connectionId`**Description**: [Optional, Trusted Tester] Connection for external data source.

- `csv_options`**Type**: `STRUCT`**Provider name**: `csvOptions`**Description**: Additional properties to set if sourceFormat is set to CSV.

  - `allow_jagged_rows`**Type**: `BOOLEAN`**Provider name**: `allowJaggedRows`**Description**: [Optional] Indicates if BigQuery should accept rows that are missing trailing optional columns. If true, BigQuery treats missing trailing columns as null values. If false, records with missing trailing columns are treated as bad records, and if there are too many bad records, an invalid error is returned in the job result. The default value is false.
  - `allow_quoted_newlines`**Type**: `BOOLEAN`**Provider name**: `allowQuotedNewlines`**Description**: [Optional] Indicates if BigQuery should allow quoted data sections that contain newline characters in a CSV file. The default value is false.
  - `encoding`**Type**: `STRING`**Provider name**: `encoding`**Description**: [Optional] The character encoding of the data. The supported values are UTF-8 or ISO-8859-1. The default value is UTF-8. BigQuery decodes the data after the raw, binary data has been split using the values of the quote and fieldDelimiter properties.
  - `field_delimiter`**Type**: `STRING`**Provider name**: `fieldDelimiter`**Description**: [Optional] The separator for fields in a CSV file. BigQuery converts the string to ISO-8859-1 encoding, and then uses the first byte of the encoded string to split the data in its raw, binary state. BigQuery also supports the escape sequence "\t" to specify a tab separator. The default value is a comma (',').
  - `null_marker`**Type**: `STRING`**Provider name**: `null_marker`**Description**: [Optional] An custom string that will represent a NULL value in CSV import data.
  - `preserve_ascii_control_characters`**Type**: `BOOLEAN`**Provider name**: `preserveAsciiControlCharacters`**Description**: [Optional] Preserves the embedded ASCII control characters (the first 32 characters in the ASCII-table, from '\x00' to '\x1F') when loading from CSV. Only applicable to CSV, ignored for other formats.
  - `quote`**Type**: `STRING`**Provider name**: `quote`**Description**: [Optional] The value that is used to quote data sections in a CSV file. BigQuery converts the string to ISO-8859-1 encoding, and then uses the first byte of the encoded string to split the data in its raw, binary state. The default value is a double-quote ('"'). If your data does not contain quoted sections, set the property value to an empty string. If your data contains quoted newline characters, you must also set the allowQuotedNewlines property to true.
  - `skip_leading_rows`**Type**: `INT64`**Provider name**: `skipLeadingRows`**Description**: [Optional] The number of rows at the top of a CSV file that BigQuery will skip when reading the data. The default value is 0. This property is useful if you have header rows in the file that should be skipped. When autodetect is on, the behavior is the following: * skipLeadingRows unspecified - Autodetect tries to detect headers in the first row. If they are not detected, the row is read as data. Otherwise data is read starting from the second row. * skipLeadingRows is 0 - Instructs autodetect that there are no headers and data should be read starting from the first row. * skipLeadingRows = N > 0 - Autodetect skips N-1 rows and tries to detect headers in row N. If headers are not detected, row N is just skipped. Otherwise row N is used to extract column names for the detected schema.

- `decimal_target_types`**Type**: `UNORDERED_LIST_STRING`**Provider name**: `decimalTargetTypes`**Description**: [Optional] Defines the list of possible SQL data types to which the source decimal values are converted. This list and the precision and the scale parameters of the decimal field determine the target type. In the order of NUMERIC, BIGNUMERIC, and STRING, a type is picked if it is in the specified list and if it supports the precision and the scale. STRING supports all precision and scale values. If none of the listed types supports the precision and the scale, the type supporting the widest range in the specified list is picked, and if a value exceeds the supported range when reading the data, an error will be thrown. Example: Suppose the value of this field is ["NUMERIC", "BIGNUMERIC"]. If (precision,scale) is: (38,9) -> NUMERIC; (39,9) -> BIGNUMERIC (NUMERIC cannot hold 30 integer digits); (38,10) -> BIGNUMERIC (NUMERIC cannot hold 10 fractional digits); (76,38) -> BIGNUMERIC; (77,38) -> BIGNUMERIC (error if value exeeds supported range). This field cannot contain duplicate types. The order of the types in this field is ignored. For example, ["BIGNUMERIC", "NUMERIC"] is the same as ["NUMERIC", "BIGNUMERIC"] and NUMERIC always takes precedence over BIGNUMERIC. Defaults to ["NUMERIC", "STRING"] for ORC and ["NUMERIC"] for the other file formats.

- `file_set_spec_type`**Type**: `STRING`**Provider name**: `fileSetSpecType`**Description**: [Optional] Specifies how source URIs are interpreted for constructing the file set to load. By default source URIs are expanded against the underlying storage. Other options include specifying manifest files. Only applicable to object storage systems.

- `google_sheets_options`**Type**: `STRUCT`**Provider name**: `googleSheetsOptions`**Description**: [Optional] Additional options if sourceFormat is set to GOOGLE_SHEETS.

  - `range`**Type**: `STRING`**Provider name**: `range`**Description**: [Optional] Range of a sheet to query from. Only used when non-empty. Typical format: sheet_name!top_left_cell_id:bottom_right_cell_id For example: sheet1!A1:B20
  - `skip_leading_rows`**Type**: `INT64`**Provider name**: `skipLeadingRows`**Description**: [Optional] The number of rows at the top of a sheet that BigQuery will skip when reading the data. The default value is 0. This property is useful if you have header rows that should be skipped. When autodetect is on, behavior is the following: * skipLeadingRows unspecified - Autodetect tries to detect headers in the first row. If they are not detected, the row is read as data. Otherwise data is read starting from the second row. * skipLeadingRows is 0 - Instructs autodetect that there are no headers and data should be read starting from the first row. * skipLeadingRows = N > 0 - Autodetect skips N-1 rows and tries to detect headers in row N. If headers are not detected, row N is just skipped. Otherwise row N is used to extract column names for the detected schema.

- `hive_partitioning_options`**Type**: `STRUCT`**Provider name**: `hivePartitioningOptions`**Description**: [Optional] Options to configure hive partitioning support.

  - `mode`**Type**: `STRING`**Provider name**: `mode`**Description**: [Optional] When set, what mode of hive partitioning to use when reading data. The following modes are supported. (1) AUTO: automatically infer partition key name(s) and type(s). (2) STRINGS: automatically infer partition key name(s). All types are interpreted as strings. (3) CUSTOM: partition key schema is encoded in the source URI prefix. Not all storage formats support hive partitioning. Requesting hive partitioning on an unsupported format will lead to an error. Currently supported types include: AVRO, CSV, JSON, ORC and Parquet.
  - `require_partition_filter`**Type**: `BOOLEAN`**Provider name**: `requirePartitionFilter`**Description**: [Optional] If set to true, queries over this table require a partition filter that can be used for partition elimination to be specified. Note that this field should only be true when creating a permanent external table or querying a temporary external table. Hive-partitioned loads with requirePartitionFilter explicitly set to true will fail.
  - `source_uri_prefix`**Type**: `STRING`**Provider name**: `sourceUriPrefix`**Description**: [Optional] When hive partition detection is requested, a common prefix for all source uris should be supplied. 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=2019-01-01/country=BR/id=7/file.avro gs://bucket/path_to_table/dt=2018-12-31/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/ (trailing slash does not matter).

- `ignore_unknown_values`**Type**: `BOOLEAN`**Provider name**: `ignoreUnknownValues`**Description**: [Optional] Indicates if BigQuery should allow extra values that are not represented in the table schema. If true, the extra values are ignored. If false, records with extra columns are treated as bad records, and if there are too many bad records, an invalid error is returned in the job result. The default value is false. The sourceFormat property determines what BigQuery treats as an extra value: CSV: Trailing columns JSON: Named values that don't match any column names Google Cloud Bigtable: This setting is ignored. Google Cloud Datastore backups: This setting is ignored. Avro: This setting is ignored.

- `json_options`**Type**: `STRUCT`**Provider name**: `jsonOptions`**Description**: Additional properties to set if `sourceFormat` is set to `NEWLINE_DELIMITED_JSON`.

  - `encoding`**Type**: `STRING`**Provider name**: `encoding`**Description**: [Optional] The character encoding of the data. The supported values are UTF-8, UTF-16BE, UTF-16LE, UTF-32BE, and UTF-32LE. The default value is UTF-8.

- `max_bad_records`**Type**: `INT32`**Provider name**: `maxBadRecords`**Description**: [Optional] The maximum number of bad records that BigQuery can ignore when reading data. If the number of bad records exceeds this value, an invalid error is returned in the job result. This is only valid for CSV, JSON, and Google Sheets. The default value is 0, which requires that all records are valid. This setting is ignored for Google Cloud Bigtable, Google Cloud Datastore backups and Avro formats.

- `metadata_cache_mode`**Type**: `STRING`**Provider name**: `metadataCacheMode`**Description**: [Optional] Metadata Cache Mode for the table. Set this to enable caching of metadata from external data source.

- `object_metadata`**Type**: `STRING`**Provider name**: `objectMetadata`**Description**: ObjectMetadata is used to create Object Tables. Object Tables contain a listing of objects (with their metadata) found at the source_uris. If ObjectMetadata is set, source_format should be omitted. Currently SIMPLE is the only supported Object Metadata type.

- `parquet_options`**Type**: `STRUCT`**Provider name**: `parquetOptions`**Description**: Additional properties to set if sourceFormat is set to Parquet.

  - `enable_list_inference`**Type**: `BOOLEAN`**Provider name**: `enableListInference`**Description**: [Optional] Indicates whether to use schema inference specifically for Parquet LIST logical type.
  - `enum_as_string`**Type**: `BOOLEAN`**Provider name**: `enumAsString`**Description**: [Optional] Indicates whether to infer Parquet ENUM logical type as STRING instead of BYTES by default.

- `reference_file_schema_uri`**Type**: `STRING`**Provider name**: `referenceFileSchemaUri`**Description**: [Optional] Provide a referencing file with the expected table schema. Enabled for the format: AVRO, PARQUET, ORC.

- `schema`**Type**: `STRUCT`**Provider name**: `schema`**Description**: [Optional] The schema for the data. Schema is required for CSV and JSON formats. Schema is disallowed for Google Cloud Bigtable, Cloud Datastore backups, and Avro formats.

- `source_format`**Type**: `STRING`**Provider name**: `sourceFormat`**Description**: [Required] The data format. For CSV files, specify "CSV". For Google sheets, specify "GOOGLE_SHEETS". For newline-delimited JSON, specify "NEWLINE_DELIMITED_JSON". For Avro files, specify "AVRO". For Google Cloud Datastore backups, specify "DATASTORE_BACKUP". [Beta] For Google Cloud Bigtable, specify "BIGTABLE".

- `source_uris`**Type**: `UNORDERED_LIST_STRING`**Provider name**: `sourceUris`**Description**: [Required] The fully-qualified URIs that point to your data in Google Cloud. For Google Cloud Storage URIs: Each URI can contain one '*' wildcard character and it must come after the 'bucket' name. Size limits related to load jobs apply to external data sources. For Google Cloud Bigtable URIs: Exactly one URI can be specified and it has be a fully specified and valid HTTPS URL for a Google Cloud Bigtable table. For Google Cloud Datastore backups, exactly one URI can be specified. Also, the '*' wildcard character is not allowed.

## `friendly_name`{% #friendly_name %}

**Type**: `STRING`**Provider name**: `friendlyName`**Description**: [Optional] A descriptive name for this table.

## `id`{% #id %}

**Type**: `STRING`**Provider name**: `id`**Description**: [Output-only] An opaque ID uniquely identifying the table.

## `kind`{% #kind %}

**Type**: `STRING`**Provider name**: `kind`**Description**: [Output-only] The type of the resource.

## `labels`{% #labels %}

**Type**: `UNORDERED_LIST_STRING`

## `last_modified_time`{% #last_modified_time %}

**Type**: `INT64`**Provider name**: `lastModifiedTime`**Description**: [Output-only] The time when this table was last modified, in milliseconds since the epoch.

## `location`{% #location %}

**Type**: `STRING`**Provider name**: `location`**Description**: [Output-only] The geographic location where the table resides. This value is inherited from the dataset.

## `materialized_view`{% #materialized_view %}

**Type**: `STRUCT`**Provider name**: `materializedView`**Description**: [Optional] Materialized view definition.

- `allow_non_incremental_definition`**Type**: `BOOLEAN`**Provider name**: `allow_non_incremental_definition`**Description**: [Optional] Allow non incremental materialized view definition. The default value is "false".
- `enable_refresh`**Type**: `BOOLEAN`**Provider name**: `enableRefresh`**Description**: [Optional] [TrustedTester] Enable automatic refresh of the materialized view when the base table is updated. The default value is "true".
- `last_refresh_time`**Type**: `INT64`**Provider name**: `lastRefreshTime`**Description**: [Output-only] [TrustedTester] The time when this materialized view was last modified, in milliseconds since the epoch.
- `query`**Type**: `STRING`**Provider name**: `query`**Description**: [Required] A query whose result is persisted.
- `refresh_interval_ms`**Type**: `INT64`**Provider name**: `refreshIntervalMs`**Description**: [Optional] [TrustedTester] The maximum frequency at which this materialized view will be refreshed. The default value is "1800000" (30 minutes).

## `model`{% #model %}

**Type**: `STRUCT`**Provider name**: `model`**Description**: [Output-only, Beta] Present iff this table represents a ML model. Describes the training information for the model, and it is required to run 'PREDICT' queries.

- `model_options`**Type**: `STRUCT`**Provider name**: `modelOptions`**Description**: [Output-only, Beta] Model options used for the first training run. These options are immutable for subsequent training runs. Default values are used for any options not specified in the input query.
  - `loss_type`**Type**: `STRING`**Provider name**: `lossType`
  - `model_type`**Type**: `STRING`**Provider name**: `modelType`
- `training_runs`**Type**: `UNORDERED_LIST_STRUCT`**Provider name**: `trainingRuns`**Description**: [Output-only, Beta] Information about ml training runs, each training run comprises of multiple iterations and there may be multiple training runs for the model if warm start is used or if a user decides to continue a previously cancelled query.
  - `iteration_results`**Type**: `UNORDERED_LIST_STRUCT`**Provider name**: `iterationResults`**Description**: [Output-only, Beta] List of each iteration results.
    - `duration_ms`**Type**: `INT64`**Provider name**: `durationMs`**Description**: [Output-only, Beta] Time taken to run the training iteration in milliseconds.
    - `eval_loss`**Type**: `DOUBLE`**Provider name**: `evalLoss`**Description**: [Output-only, Beta] Eval loss computed on the eval data at the end of the iteration. The eval loss is used for early stopping to avoid overfitting. No eval loss if eval_split_method option is specified as no_split or auto_split with input data size less than 500 rows.
    - `index`**Type**: `INT32`**Provider name**: `index`**Description**: [Output-only, Beta] Index of the ML training iteration, starting from zero for each training run.
    - `learn_rate`**Type**: `DOUBLE`**Provider name**: `learnRate`**Description**: [Output-only, Beta] Learning rate used for this iteration, it varies for different training iterations if learn_rate_strategy option is not constant.
    - `training_loss`**Type**: `DOUBLE`**Provider name**: `trainingLoss`**Description**: [Output-only, Beta] Training loss computed on the training data at the end of the iteration. The training loss function is defined by model type.
  - `start_time`**Type**: `TIMESTAMP`**Provider name**: `startTime`**Description**: [Output-only, Beta] Training run start time in milliseconds since the epoch.
  - `state`**Type**: `STRING`**Provider name**: `state`**Description**: [Output-only, Beta] Different state applicable for a training run. IN PROGRESS: Training run is in progress. FAILED: Training run ended due to a non-retryable failure. SUCCEEDED: Training run successfully completed. CANCELLED: Training run cancelled by the user.
  - `training_options`**Type**: `STRUCT`**Provider name**: `trainingOptions`**Description**: [Output-only, Beta] Training options used by this training run. These options are mutable for subsequent training runs. Default values are explicitly stored for options not specified in the input query of the first training run. For subsequent training runs, any option not explicitly specified in the input query will be copied from the previous training run.
    - `early_stop`**Type**: `BOOLEAN`**Provider name**: `earlyStop`
    - `l1_reg`**Type**: `DOUBLE`**Provider name**: `l1Reg`
    - `l2_reg`**Type**: `DOUBLE`**Provider name**: `l2Reg`
    - `learn_rate`**Type**: `DOUBLE`**Provider name**: `learnRate`
    - `learn_rate_strategy`**Type**: `STRING`**Provider name**: `learnRateStrategy`
    - `line_search_init_learn_rate`**Type**: `DOUBLE`**Provider name**: `lineSearchInitLearnRate`
    - `max_iteration`**Type**: `INT64`**Provider name**: `maxIteration`
    - `min_rel_progress`**Type**: `DOUBLE`**Provider name**: `minRelProgress`
    - `warm_start`**Type**: `BOOLEAN`**Provider name**: `warmStart`

## `num_active_logical_bytes`{% #num_active_logical_bytes %}

**Type**: `INT64`**Provider name**: `numActiveLogicalBytes`**Description**: [Output-only] Number of logical bytes that are less than 90 days old.

## `num_active_physical_bytes`{% #num_active_physical_bytes %}

**Type**: `INT64`**Provider name**: `numActivePhysicalBytes`**Description**: [Output-only] Number of physical bytes less than 90 days old. This data is not kept in real time, and might be delayed by a few seconds to a few minutes.

## `num_bytes`{% #num_bytes %}

**Type**: `INT64`**Provider name**: `numBytes`**Description**: [Output-only] The size of this table in bytes, excluding any data in the streaming buffer.

## `num_long_term_bytes`{% #num_long_term_bytes %}

**Type**: `INT64`**Provider name**: `numLongTermBytes`**Description**: [Output-only] The number of bytes in the table that are considered "long-term storage".

## `num_long_term_logical_bytes`{% #num_long_term_logical_bytes %}

**Type**: `INT64`**Provider name**: `numLongTermLogicalBytes`**Description**: [Output-only] Number of logical bytes that are more than 90 days old.

## `num_long_term_physical_bytes`{% #num_long_term_physical_bytes %}

**Type**: `INT64`**Provider name**: `numLongTermPhysicalBytes`**Description**: [Output-only] Number of physical bytes more than 90 days old. This data is not kept in real time, and might be delayed by a few seconds to a few minutes.

## `num_partitions`{% #num_partitions %}

**Type**: `INT64`**Provider name**: `numPartitions`**Description**: [Output-only] The number of partitions present in the table or materialized view. This data is not kept in real time, and might be delayed by a few seconds to a few minutes.

## `num_physical_bytes`{% #num_physical_bytes %}

**Type**: `INT64`**Provider name**: `numPhysicalBytes`**Description**: [Output-only] [TrustedTester] The physical size of this table in bytes, excluding any data in the streaming buffer. This includes compression and storage used for time travel.

## `num_rows`{% #num_rows %}

**Type**: `INT64`**Provider name**: `numRows`**Description**: [Output-only] The number of rows of data in this table, excluding any data in the streaming buffer.

## `num_time_travel_physical_bytes`{% #num_time_travel_physical_bytes %}

**Type**: `INT64`**Provider name**: `numTimeTravelPhysicalBytes`**Description**: [Output-only] Number of physical bytes used by time travel storage (deleted or changed data). This data is not kept in real time, and might be delayed by a few seconds to a few minutes.

## `num_total_logical_bytes`{% #num_total_logical_bytes %}

**Type**: `INT64`**Provider name**: `numTotalLogicalBytes`**Description**: [Output-only] Total number of logical bytes in the table or materialized view.

## `num_total_physical_bytes`{% #num_total_physical_bytes %}

**Type**: `INT64`**Provider name**: `numTotalPhysicalBytes`**Description**: [Output-only] The physical size of this table in bytes. This also includes storage used for time travel. This data is not kept in real time, and might be delayed by a few seconds to a few minutes.

## `organization_id`{% #organization_id %}

**Type**: `STRING`

## `parent`{% #parent %}

**Type**: `STRING`

## `project_id`{% #project_id %}

**Type**: `STRING`

## `project_number`{% #project_number %}

**Type**: `STRING`

## `range_partitioning`{% #range_partitioning %}

**Type**: `STRUCT`**Provider name**: `rangePartitioning`**Description**: [TrustedTester] Range partitioning specification for this table. Only one of timePartitioning and rangePartitioning should be specified.

- `field`**Type**: `STRING`**Provider name**: `field`**Description**: [TrustedTester] [Required] The table is partitioned by this field. The field must be a top-level NULLABLE/REQUIRED field. The only supported type is INTEGER/INT64.
- `range`**Type**: `STRUCT`**Provider name**: `range`**Description**: [TrustedTester] [Required] Defines the ranges for range partitioning.
  - `end`**Type**: `INT64`**Provider name**: `end`**Description**: [TrustedTester] [Required] The end of range partitioning, exclusive.
  - `interval`**Type**: `INT64`**Provider name**: `interval`**Description**: [TrustedTester] [Required] The width of each interval.
  - `start`**Type**: `INT64`**Provider name**: `start`**Description**: [TrustedTester] [Required] The start of range partitioning, inclusive.

## `region_id`{% #region_id %}

**Type**: `STRING`

## `require_partition_filter`{% #require_partition_filter %}

**Type**: `BOOLEAN`**Provider name**: `requirePartitionFilter`**Description**: [Optional] If set to true, queries over this table require a partition filter that can be used for partition elimination to be specified.

## `resource_name`{% #resource_name %}

**Type**: `STRING`

## `schema`{% #schema %}

**Type**: `STRUCT`**Provider name**: `schema`**Description**: [Optional] Describes the schema of this table.

## `self_link`{% #self_link %}

**Type**: `STRING`**Provider name**: `selfLink`**Description**: [Output-only] A URL that can be used to access this resource again.

## `snapshot_definition`{% #snapshot_definition %}

**Type**: `STRUCT`**Provider name**: `snapshotDefinition`**Description**: [Output-only] Snapshot definition.

- `base_table_reference`**Type**: `STRUCT`**Provider name**: `baseTableReference`**Description**: [Required] Reference describing the ID of the table that was snapshot.
  - `dataset_id`**Type**: `STRING`**Provider name**: `datasetId`**Description**: [Required] The ID of the dataset containing this table.
  - `project_id`**Type**: `STRING`**Provider name**: `projectId`**Description**: [Required] The ID of the project containing this table.
  - `table_id`**Type**: `STRING`**Provider name**: `tableId`**Description**: [Required] The ID of the table. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 1,024 characters.
- `snapshot_time`**Type**: `TIMESTAMP`**Provider name**: `snapshotTime`**Description**: [Required] The time at which the base table was snapshot. This value is reported in the JSON response using RFC3339 format.

## `streaming_buffer`{% #streaming_buffer %}

**Type**: `STRUCT`**Provider name**: `streamingBuffer`**Description**: [Output-only] Contains information regarding this table's streaming buffer, if one is present. This field will be absent if the table is not being streamed to or if there is no data in the streaming buffer.

- `estimated_bytes`**Type**: `INT64`**Provider name**: `estimatedBytes`**Description**: [Output-only] A lower-bound estimate of the number of bytes currently in the streaming buffer.
- `estimated_rows`**Type**: `INT64`**Provider name**: `estimatedRows`**Description**: [Output-only] A lower-bound estimate of the number of rows currently in the streaming buffer.
- `oldest_entry_time`**Type**: `INT64`**Provider name**: `oldestEntryTime`**Description**: [Output-only] Contains the timestamp of the oldest entry in the streaming buffer, in milliseconds since the epoch, if the streaming buffer is available.

## `table_constraints`{% #table_constraints %}

**Type**: `STRUCT`**Provider name**: `tableConstraints`**Description**: [Optional] The table constraints on the table.

- `foreign_keys`**Type**: `UNORDERED_LIST_STRUCT`**Provider name**: `foreignKeys`**Description**: [Optional] The foreign keys of the tables.
  - `column_references`**Type**: `UNORDERED_LIST_STRUCT`**Provider name**: `columnReferences`
    - `referenced_column`**Type**: `STRING`**Provider name**: `referencedColumn`
    - `referencing_column`**Type**: `STRING`**Provider name**: `referencingColumn`
  - `name`**Type**: `STRING`**Provider name**: `name`
  - `referenced_table`**Type**: `STRUCT`**Provider name**: `referencedTable`
    - `dataset_id`**Type**: `STRING`**Provider name**: `datasetId`
    - `project_id`**Type**: `STRING`**Provider name**: `projectId`
    - `table_id`**Type**: `STRING`**Provider name**: `tableId`
- `primary_key`**Type**: `STRUCT`**Provider name**: `primaryKey`**Description**: [Optional] The primary key of the table.
  - `columns`**Type**: `UNORDERED_LIST_STRING`**Provider name**: `columns`

## `table_reference`{% #table_reference %}

**Type**: `STRUCT`**Provider name**: `tableReference`**Description**: [Required] Reference describing the ID of this table.

- `dataset_id`**Type**: `STRING`**Provider name**: `datasetId`**Description**: [Required] The ID of the dataset containing this table.
- `project_id`**Type**: `STRING`**Provider name**: `projectId`**Description**: [Required] The ID of the project containing this table.
- `table_id`**Type**: `STRING`**Provider name**: `tableId`**Description**: [Required] The ID of the table. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 1,024 characters.

## `tags`{% #tags %}

**Type**: `UNORDERED_LIST_STRING`

## `time_partitioning`{% #time_partitioning %}

**Type**: `STRUCT`**Provider name**: `timePartitioning`**Description**: Time-based partitioning specification for this table. Only one of timePartitioning and rangePartitioning should be specified.

- `expiration_ms`**Type**: `INT64`**Provider name**: `expirationMs`**Description**: [Optional] Number of milliseconds for which to keep the storage for partitions in the table. The storage in a partition will have an expiration time of its partition time plus this value.
- `field`**Type**: `STRING`**Provider name**: `field`**Description**: [Beta] [Optional] If not set, the table is partitioned by pseudo column, referenced via either '_PARTITIONTIME' as TIMESTAMP type, or '_PARTITIONDATE' as DATE type. If field is specified, the table is instead partitioned by this field. The field must be a top-level TIMESTAMP or DATE field. Its mode must be NULLABLE or REQUIRED.
- `require_partition_filter`**Type**: `BOOLEAN`**Provider name**: `requirePartitionFilter`
- `type`**Type**: `STRING`**Provider name**: `type`**Description**: [Required] The supported types are DAY, HOUR, MONTH, and YEAR, which will generate one partition per day, hour, month, and year, respectively. When the type is not specified, the default behavior is DAY.

## `type`{% #type %}

**Type**: `STRING`**Provider name**: `type`**Description**: [Output-only] Describes the table type. The following values are supported: TABLE: A normal BigQuery table. VIEW: A virtual table defined by a SQL query. SNAPSHOT: An immutable, read-only table that is a copy of another table. [TrustedTester] MATERIALIZED_VIEW: SQL query whose result is persisted. EXTERNAL: A table that references data stored in an external storage system, such as Google Cloud Storage. The default value is TABLE.

## `view`{% #view %}

**Type**: `STRUCT`**Provider name**: `view`**Description**: [Optional] The view definition.

- `query`**Type**: `STRING`**Provider name**: `query`**Description**: [Required] A query that BigQuery executes when the view is referenced.
- `use_explicit_column_names`**Type**: `BOOLEAN`**Provider name**: `useExplicitColumnNames`**Description**: True if the column names are explicitly specified. For example by using the 'CREATE VIEW v(c1, c2) AS …' syntax. Can only be set using BigQuery's standard SQL: [https://cloud.google.com/bigquery/sql-reference/](https://cloud.google.com/bigquery/sql-reference/)
- `use_legacy_sql`**Type**: `BOOLEAN`**Provider name**: `useLegacySql`**Description**: Specifies whether to use BigQuery's legacy SQL for this view. The default value is true. If set to false, the view will use BigQuery's standard SQL: [https://cloud.google.com/bigquery/sql-reference/](https://cloud.google.com/bigquery/sql-reference/) Queries and views that reference this view must use the same flag value.
- `user_defined_function_resources`**Type**: `UNORDERED_LIST_STRUCT`**Provider name**: `userDefinedFunctionResources`**Description**: Describes user-defined function resources used in the query.
  - `inline_code`**Type**: `STRING`**Provider name**: `inlineCode`**Description**: [Pick one] An inline resource that contains code for a user-defined function (UDF). Providing a inline code resource is equivalent to providing a URI for a file containing the same code.
  - `resource_uri`**Type**: `STRING`**Provider name**: `resourceUri`**Description**: [Pick one] A code resource to load from a Google Cloud Storage URI (gs://bucket/path).

## `zone_id`{% #zone_id %}

**Type**: `STRING`