このページは日本語には対応しておりません。随時翻訳に取り組んでいます。
翻訳に関してご質問やご意見ございましたら、
お気軽にご連絡ください。
gcp_bigquery_table
ancestors
Type: UNORDERED_LIST_STRING
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
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
Type: INT64
Provider name: creationTime
Description: [Output-only] The time when this table was created, in milliseconds since the epoch.
default_collation
Type: STRING
Provider name: defaultCollation
Description: [Output-only] The default collation of the table.
default_rounding_mode
Type: STRING
Provider name: defaultRoundingMode
Description: [Output-only] The default rounding mode of the table.
description
Type: STRING
Provider name: description
Description: [Optional] A user-friendly description of this table.
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
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
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
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
Type: STRING
Provider name: friendlyName
Description: [Optional] A descriptive name for this table.
id
Type: STRING
Provider name: id
Description: [Output-only] An opaque ID uniquely identifying the table.
kind
Type: STRING
Provider name: kind
Description: [Output-only] The type of the resource.
labels
Type: UNORDERED_LIST_STRING
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
Type: STRING
Provider name: location
Description: [Output-only] The geographic location where the table resides. This value is inherited from the dataset.
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
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
Type: INT64
Provider name: numActiveLogicalBytes
Description: [Output-only] Number of logical bytes that are less than 90 days old.
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
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
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
Type: INT64
Provider name: numLongTermLogicalBytes
Description: [Output-only] Number of logical bytes that are more than 90 days old.
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
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
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
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
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
Type: INT64
Provider name: numTotalLogicalBytes
Description: [Output-only] Total number of logical bytes in the table or materialized view.
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
Type: STRING
parent
Type: STRING
project_id
Type: STRING
project_number
Type: STRING
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.
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
Type: STRING
schema
Type: STRUCT
Provider name: schema
Description: [Optional] Describes the schema of this table.
self_link
Type: STRING
Provider name: selfLink
Description: [Output-only] A URL that can be used to access this resource again.
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
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
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
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.
Type: UNORDERED_LIST_STRING
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: 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
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/
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/ 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).