gcp_bigquery_table – Creates a GCP Table

gcp_bigquery_table – Creates a GCP Table

New in version 2.8.

• Synopsis
• Requirements
• Parameters
• Notes
• Examples
• Return Values
• Status

Synopsis

• A Table that belongs to a Dataset .

Requirements

The below requirements are needed on the host that executes this module.

• python >= 2.6
• requests >= 2.18.4
• google-auth >= 1.3.0

Parameters

Parameter					Choices/Defaults	Comments
auth_kind string / required					application machineaccount serviceaccount	The type of credential used.
dataset -						Name of the dataset.
description -						A user-friendly description of the dataset.
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 boolean				no yes	Try to detect schema and format options automatically. Any option specified explicitly will be honored.
	bigtable_options -					Additional options if sourceFormat is set to BIGTABLE.
		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 -	TEXT BINARY	The encoding of the values when the type is not STRING.
				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 boolean	no yes	If this is set, only the latest version of value in this column are exposed .
				qualifier_string - / required		Qualifier of the column.
				type -	BYTES STRING INTEGER FLOAT BOOLEAN	The type to convert the value in cells of this column.
			encoding -		TEXT BINARY	The encoding of the values when the type is not STRING.
			family_id -			Identifier of the column family.
			only_read_latest boolean		no yes	If this is set only the latest version of value are exposed for all columns in this column family .
			type -		BYTES STRING INTEGER FLOAT BOOLEAN	The type to convert the value in cells of this column family.
		ignore_unspecified_column_families boolean			no yes	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 boolean			no yes	If field is true, then the rowkey column families will be read and converted to string.
	compression -				GZIP NONE	The compression type of the data source.
	csv_options -					Additional properties to set if sourceFormat is set to CSV.
		allow_jagged_rows boolean			no yes	Indicates if BigQuery should accept rows that are missing trailing optional columns .
		allow_quoted_newlines boolean			no yes	Indicates if BigQuery should allow quoted data sections that contain newline characters in a CSV file .
		encoding -			UTF-8 ISO-8859-1	The character encoding of the data.
		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 -			Default: "0"	The number of rows at the top of a CSV file that BigQuery will skip when reading the data.
	google_sheets_options -					Additional options if sourceFormat is set to GOOGLE_SHEETS.
		skip_leading_rows -			Default: "0"	The number of rows at the top of a Google Sheet that BigQuery will skip when reading the data.
	ignore_unknown_values boolean				no yes	Indicates if BigQuery should allow extra values that are not represented in the table schema .
	max_bad_records -				Default: "0"	The maximum number of bad records that BigQuery can ignore when reading data .
	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 -		NULLABLE REQUIRED REPEATED	Field mode.
			name -			Field name.
			type -		STRING BYTES INTEGER FLOAT TIMESTAMP DATE TIME DATETIME RECORD	Field data type.
	source_format -				CSV GOOGLE_SHEETS NEWLINE_DELIMITED_JSON AVRO DATASTORE_BACKUP BIGTABLE	The data format.
	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.
friendly_name -						A descriptive name for this table.
labels -						The labels associated with this dataset. You can use these to organize and group your datasets .
name -						Name of the table.
project string						The Google Cloud Platform project to use.
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 -			NULLABLE REQUIRED REPEATED	The field mode.
		name -				The field name.
		type -			STRING BYTES INTEGER FLOAT TIMESTAMP DATE TIME DATETIME RECORD	The field data type.
scopes list						Array of scopes to be used.
service_account_contents string						A string representing the contents of a Service Account JSON file. This should not be passed in as a dictionary, but a string that has the exact contents of a service account json file (valid JSON)
service_account_email string						An optional service account email address if machineaccount is selected and the user does not wish to use the default email.
service_account_file path						The path of a Service Account JSON file if serviceaccount is selected as type.
state -					present ← absent	Whether the given object should exist in GCP
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.
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.
	type -				DAY	The only type supported is DAY, which will generate one partition per day.
view -						The view definition.
	use_legacy_sql boolean				no yes	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).

Notes

Note

• For authentication, you can set service_account_file using the GCP_SERVICE_ACCOUNT_FILE env variable.
• For authentication, you can set service_account_email using the GCP_SERVICE_ACCOUNT_EMAIL env variable.
• For authentication, you can set service_account_contents using the GCP_SERVICE_ACCOUNT_CONTENTS env variable.
• For authentication, you can set auth_kind using the GCP_AUTH_KIND env variable.
• For authentication, you can set scopes using the GCP_SCOPES env variable.
• Environment variables values will only be used if the playbook values are not set.
• The service_account_email and service_account_file options are mutually exclusive.

Examples

- name: create a dataset
  gcp_bigquery_dataset:
    name: example_dataset
    dataset_reference:
      dataset_id: example_dataset
    project: "{{ gcp_project }}"
    auth_kind: "{{ gcp_cred_kind }}"
    service_account_file: "{{ gcp_cred_file }}"
    state: present
  register: dataset

- name: create a table
  gcp_bigquery_table:
    name: example_table
    dataset: example_dataset
    table_reference:
      dataset_id: example_dataset
      project_id: test_project
      table_id: example_table
    project: test_project
    auth_kind: serviceaccount
    service_account_file: "/tmp/auth.pem"
    state: present

Return Values

Common return values are documented here, the following are the fields unique to this module:

Key					Returned	Description
creationTime integer					success	The time when this dataset was created, in milliseconds since the epoch.
dataset string					success	Name of the dataset.
description string					success	A user-friendly description of the dataset.
encryptionConfiguration complex					success	Custom encryption configuration.
	kmsKeyName string				success	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.
expirationTime integer					success	The time when this table expires, in milliseconds since the epoch. If not present, the table will persist indefinitely.
externalDataConfiguration complex					success	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 boolean				success	Try to detect schema and format options automatically. Any option specified explicitly will be honored.
	bigtableOptions complex				success	Additional options if sourceFormat is set to BIGTABLE.
		columnFamilies complex			success	List of column families to expose in the table schema along with their types.
			columns complex		success	Lists of columns that should be exposed as individual fields as opposed to a list of (column name, value) pairs.
				encoding string	success	The encoding of the values when the type is not STRING.
				fieldName string	success	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.
				onlyReadLatest boolean	success	If this is set, only the latest version of value in this column are exposed .
				qualifierString string	success	Qualifier of the column.
				type string	success	The type to convert the value in cells of this column.
			encoding string		success	The encoding of the values when the type is not STRING.
			familyId string		success	Identifier of the column family.
			onlyReadLatest boolean		success	If this is set only the latest version of value are exposed for all columns in this column family .
			type string		success	The type to convert the value in cells of this column family.
		ignoreUnspecifiedColumnFamilies boolean			success	If field is true, then the column families that are not specified in columnFamilies list are not exposed in the table schema .
		readRowkeyAsString boolean			success	If field is true, then the rowkey column families will be read and converted to string.
	compression string				success	The compression type of the data source.
	csvOptions complex				success	Additional properties to set if sourceFormat is set to CSV.
		allowJaggedRows boolean			success	Indicates if BigQuery should accept rows that are missing trailing optional columns .
		allowQuotedNewlines boolean			success	Indicates if BigQuery should allow quoted data sections that contain newline characters in a CSV file .
		encoding string			success	The character encoding of the data.
		fieldDelimiter string			success	The separator for fields in a CSV file.
		quote string			success	The value that is used to quote data sections in a CSV file.
		skipLeadingRows integer			success	The number of rows at the top of a CSV file that BigQuery will skip when reading the data.
	googleSheetsOptions complex				success	Additional options if sourceFormat is set to GOOGLE_SHEETS.
		skipLeadingRows integer			success	The number of rows at the top of a Google Sheet that BigQuery will skip when reading the data.
	ignoreUnknownValues boolean				success	Indicates if BigQuery should allow extra values that are not represented in the table schema .
	maxBadRecords integer				success	The maximum number of bad records that BigQuery can ignore when reading data .
	schema complex				success	The schema for the data. Schema is required for CSV and JSON formats.
		fields complex			success	Describes the fields in a table.
			description string		success	The field description.
			fields list		success	Describes the nested schema fields if the type property is set to RECORD .
			mode string		success	Field mode.
			name string		success	Field name.
			type string		success	Field data type.
	sourceFormat string				success	The data format.
	sourceUris list				success	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.
friendlyName string					success	A descriptive name for this table.
id string					success	An opaque ID uniquely identifying the table.
labels dictionary					success	The labels associated with this dataset. You can use these to organize and group your datasets .
lastModifiedTime integer					success	The time when this table was last modified, in milliseconds since the epoch.
location string					success	The geographic location where the table resides. This value is inherited from the dataset.
name string					success	Name of the table.
numBytes integer					success	The size of this table in bytes, excluding any data in the streaming buffer.
numLongTermBytes integer					success	The number of bytes in the table that are considered "long-term storage".
numRows integer					success	The number of rows of data in this table, excluding any data in the streaming buffer.
schema complex					success	Describes the schema of this table.
	fields complex				success	Describes the fields in a table.
		description string			success	The field description. The maximum length is 1,024 characters.
		fields list			success	Describes the nested schema fields if the type property is set to RECORD.
		mode string			success	The field mode.
		name string			success	The field name.
		type string			success	The field data type.
streamingBuffer complex					success	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.
	estimatedBytes integer				success	A lower-bound estimate of the number of bytes currently in the streaming buffer.
	estimatedRows integer				success	A lower-bound estimate of the number of rows currently in the streaming buffer.
	oldestEntryTime integer				success	Contains the timestamp of the oldest entry in the streaming buffer, in milliseconds since the epoch, if the streaming buffer is available.
tableReference complex					success	Reference describing the ID of this table.
	datasetId string				success	The ID of the dataset containing this table.
	projectId string				success	The ID of the project containing this table.
	tableId string				success	The ID of the the table.
timePartitioning complex					success	If specified, configures time-based partitioning for this table.
	expirationMs integer				success	Number of milliseconds for which to keep the storage for a partition.
	type string				success	The only type supported is DAY, which will generate one partition per day.
type string					success	Describes the table type.
view complex					success	The view definition.
	useLegacySql boolean				success	Specifies whether to use BigQuery's legacy SQL for this view .
	userDefinedFunctionResources complex				success	Describes user-defined function resources used in the query.
		inlineCode string			success	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.
		resourceUri string			success	A code resource to load from a Google Cloud Storage URI (gs://bucket/path).

Status

• This module is not guaranteed to have a backwards compatible interface. [preview]
• This module is maintained by the Ansible Community. [community]

Authors

• Google Inc. (@googlecloudplatform)

Hint

If you notice any issues in this documentation you can edit this document to improve it.

© 2012–2018 Michael DeHaan
© 2018–2019 Red Hat, Inc.
Licensed under the GNU General Public License version 3.
https://docs.ansible.com/ansible/2.8/modules/gcp_bigquery_table_module.html