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google_bigquery_table resource

Syntax

A google_bigquery_table is used to test a Google Table resource

Examples

describe google_bigquery_table(project: 'chef-gcp-inspec', dataset: 'inspec_gcp_dataset', name: 'inspec_gcp_bigquery_table') do
  it { should exist }

  its('expiration_time') { should cmp '1738882264000' }
  its('time_partitioning.type') { should eq 'DAY' }
  its('description') { should eq 'A BigQuery table' }
end

describe google_bigquery_table(project: 'chef-gcp-inspec', dataset: 'inspec_gcp_dataset', name: 'nonexistent') do
  it { should_not exist }
end

Properties

Properties that can be accessed from the google_bigquery_table resource:

table_reference
Reference describing the ID of this table
dataset_id
The ID of the dataset containing this table
project_id
The ID of the project containing this table
table_id
The ID of the the table
clustering
One or more fields on which data should be clustered. Only top-level, non-repeated, simple-type fields are supported. When you cluster a table using multiple columns, the order of columns you specify is important. The order of the specified columns determines the sort order of the data.
creation_time
The time when this dataset was created, in milliseconds since the epoch.
description
A user-friendly description of the dataset
friendly_name
A descriptive name for this table
id
An opaque ID uniquely identifying the table.
labels
The labels associated with this dataset. You can use these to organize and group your datasets
last_modified_time
The time when this table was last modified, in milliseconds since the epoch.
location
The geographic location where the table resides. This value is inherited from the dataset.
name
Name of the table
num_bytes
The size of this table in bytes, excluding any data in the streaming buffer.
num_long_term_bytes
The number of bytes in the table that are considered “long-term storage”.
num_rows
The number of rows of data in this table, excluding any data in the streaming buffer.
require_partition_filter
If set to true, queries over this table require a partition filter that can be used for partition elimination to be specified.
type
Describes the table type

Possible values:

  • TABLE
  • VIEW
  • EXTERNAL
view
The view definition.
use_legacy_sql
Specifies whether to use BigQuery’s legacy SQL for this view
user_defined_function_resources
Describes user-defined function resources used in the query.
inline_code
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
A code resource to load from a Google Cloud Storage URI (gs://bucket/path).
time_partitioning
If specified, configures time-based partitioning for this table.
expiration_ms
Number of milliseconds for which to keep the storage for a partition.
field
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.
type
The only type supported is DAY, which will generate one partition per day.

Possible values:

  • DAY
streaming_buffer
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
A lower-bound estimate of the number of bytes currently in the streaming buffer.
estimated_rows
A lower-bound estimate of the number of rows currently in the streaming buffer.
oldest_entry_time
Contains the timestamp of the oldest entry in the streaming buffer, in milliseconds since the epoch, if the streaming buffer is available.
schema
Describes the schema of this table
fields
Describes the fields in a table.
description
The field description. The maximum length is 1,024 characters.
fields
Describes the nested schema fields if the type property is set to RECORD.
mode
The field mode

Possible values:

  • NULLABLE
  • REQUIRED
  • REPEATED
name
The field name
type
The field data type

Possible values:

  • STRING
  • BYTES
  • INTEGER
  • FLOAT
  • TIMESTAMP
  • DATE
  • TIME
  • DATETIME
  • RECORD
encryption_configuration
Custom encryption configuration
kms_key_name
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.
expiration_time
The time when this table expires, in milliseconds since the epoch. If not present, the table will persist indefinitely.
external_data_configuration
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
Try to detect schema and format options automatically. Any option specified explicitly will be honored.
compression
The compression type of the data source

Possible values:

  • GZIP
  • NONE
ignore_unknown_values
Indicates if BigQuery should allow extra values that are not represented in the table schema
max_bad_records
The maximum number of bad records that BigQuery can ignore when reading data
source_format
The data format

Possible values:

  • CSV
  • GOOGLE_SHEETS
  • NEWLINE_DELIMITED_JSON
  • AVRO
  • DATASTORE_BACKUP
  • BIGTABLE
source_uris
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.
schema
The schema for the data. Schema is required for CSV and JSON formats
fields
Describes the fields in a table.
description
The field description
fields
Describes the nested schema fields if the type property is set to RECORD
mode
Field mode. Possible values:
  • NULLABLE
  • REQUIRED
  • REPEATED
name
Field name
type
Field data type

Possible values:

  • STRING
  • BYTES
  • INTEGER
  • FLOAT
  • TIMESTAMP
  • DATE
  • TIME
  • DATETIME
  • RECORD
google_sheets_options
Additional options if sourceFormat is set to GOOGLE_SHEETS.
skip_leading_rows
The number of rows at the top of a Google Sheet that BigQuery will skip when reading the data.
csv_options
Additional properties to set if sourceFormat is set to CSV.
allow_jagged_rows
Indicates if BigQuery should accept rows that are missing trailing optional columns
allow_quoted_newlines
Indicates if BigQuery should allow quoted data sections that contain newline characters in a CSV file
encoding
The character encoding of the data

Possible values:

  • UTF-8
  • ISO-8859-1
field_delimiter
The separator for fields in a CSV file
quote
The value that is used to quote data sections in a CSV file
skip_leading_rows
The number of rows at the top of a CSV file that BigQuery will skip when reading the data.
bigtable_options
Additional options if sourceFormat is set to BIGTABLE.
ignore_unspecified_column_families
If field is true, then the column families that are not specified in columnFamilies list are not exposed in the table schema
read_rowkey_as_string
If field is true, then the rowkey column families will be read and converted to string.
column_families
List of column families to expose in the table schema along with their types.
columns
Lists of columns that should be exposed as individual fields as opposed to a list of (column name, value) pairs.
encoding
The encoding of the values when the type is not STRING

Possible values:

  • TEXT
  • BINARY
field_name
If the qualifier is not a valid BigQuery field identifier, a valid identifier must be provided as the column field name and is used as field name in queries.
only_read_latest
If this is set, only the latest version of value in this column are exposed
qualifier_string
Qualifier of the column
type
The type to convert the value in cells of this column

Possible values:

  • BYTES
  • STRING
  • INTEGER
  • FLOAT
  • BOOLEAN
encoding
The encoding of the values when the type is not STRING

Possible values:

  • TEXT
  • BINARY
family_id
Identifier of the column family.
only_read_latest
If this is set only the latest version of value are exposed for all columns in this column family
type
The type to convert the value in cells of this column family

Possible values:

  • BYTES
  • STRING
  • INTEGER
  • FLOAT
  • BOOLEAN
dataset
Name of the dataset

GCP Permissions

Ensure the BigQuery API is enabled for the current project.

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