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					Choices: application machineaccount serviceaccount	The type of credential used.
clustering list added in 2.9						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.
dataset string						Name of the dataset.
description string						A user-friendly description of the dataset.
encryption_configuration dictionary						Custom encryption configuration.
	kms_key_name string					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.
env_type string						Specifies which Ansible environment you're running this module within. This should not be set unless you know what you're doing. This only alters the User Agent string for any API requests.
expiration_time integer						The time when this table expires, in milliseconds since the epoch. If not present, the table will persist indefinitely.
external_data_configuration dictionary						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				Choices: no yes	Try to detect schema and format options automatically. Any option specified explicitly will be honored.
	bigtable_options dictionary					Additional options if sourceFormat is set to BIGTABLE.
		column_families list				List of column families to expose in the table schema along with their types.
			columns list			Lists of columns that should be exposed as individual fields as opposed to a list of (column name, value) pairs.
				encoding string		The encoding of the values when the type is not STRING. Some valid choices include: "TEXT", "BINARY"
				field_name string		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	Choices: no yes	If this is set, only the latest version of value in this column are exposed .
				qualifier_string string / required		Qualifier of the column.
				type string		The type to convert the value in cells of this column. Some valid choices include: "BYTES", "STRING", "INTEGER", "FLOAT", "BOOLEAN"
			encoding string			The encoding of the values when the type is not STRING. Some valid choices include: "TEXT", "BINARY"
			family_id string			Identifier of the column family.
			only_read_latest boolean		Choices: no yes	If this is set only the latest version of value are exposed for all columns in this column family .
			type string			The type to convert the value in cells of this column family. Some valid choices include: "BYTES", "STRING", "INTEGER", "FLOAT", "BOOLEAN"
		ignore_unspecified_column_families boolean			Choices: 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			Choices: no yes	If field is true, then the rowkey column families will be read and converted to string.
	compression string					The compression type of the data source. Some valid choices include: "GZIP", "NONE"
	csv_options dictionary					Additional properties to set if sourceFormat is set to CSV.
		allow_jagged_rows boolean			Choices: no yes	Indicates if BigQuery should accept rows that are missing trailing optional columns .
		allow_quoted_newlines boolean			Choices: no yes	Indicates if BigQuery should allow quoted data sections that contain newline characters in a CSV file .
		encoding string				The character encoding of the data. Some valid choices include: "UTF-8", "ISO-8859-1"
		field_delimiter string				The separator for fields in a CSV file.
		quote string				The value that is used to quote data sections in a CSV file.
		skip_leading_rows integer			Default: "0"	The number of rows at the top of a CSV file that BigQuery will skip when reading the data.
	google_sheets_options dictionary					Additional options if sourceFormat is set to GOOGLE_SHEETS.
		skip_leading_rows integer			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				Choices: no yes	Indicates if BigQuery should allow extra values that are not represented in the table schema .
	max_bad_records integer				Default: "0"	The maximum number of bad records that BigQuery can ignore when reading data .
	schema dictionary					The schema for the data. Schema is required for CSV and JSON formats.
		fields list				Describes the fields in a table.
			description string			The field description.
			fields list			Describes the nested schema fields if the type property is set to RECORD .
			mode string			Field mode. Some valid choices include: "NULLABLE", "REQUIRED", "REPEATED"
			name string			Field name.
			type string			Field data type. Some valid choices include: "STRING", "BYTES", "INTEGER", "FLOAT", "TIMESTAMP", "DATE", "TIME", "DATETIME", "RECORD"
	source_format string					The data format. Some valid choices include: "CSV", "GOOGLE_SHEETS", "NEWLINE_DELIMITED_JSON", "AVRO", "DATASTORE_BACKUP", "BIGTABLE"
	source_uris list					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 string						A descriptive name for this table.
labels dictionary						The labels associated with this dataset. You can use these to organize and group your datasets .
name string						Name of the table.
num_rows integer added in 2.9						The number of rows of data in this table, excluding any data in the streaming buffer.
project string						The Google Cloud Platform project to use.
schema dictionary						Describes the schema of this table.
	fields list					Describes the fields in a table.
		description string				The field description. The maximum length is 1,024 characters.
		fields list				Describes the nested schema fields if the type property is set to RECORD.
		mode string				The field mode. Some valid choices include: "NULLABLE", "REQUIRED", "REPEATED"
		name string				The field name.
		type string				The field data type. Some valid choices include: "STRING", "BYTES", "INTEGER", "FLOAT", "TIMESTAMP", "DATE", "TIME", "DATETIME", "RECORD"
scopes list						Array of scopes to be used.
service_account_contents jsonarg						The contents of a Service Account JSON file, either in a dictionary or as a JSON string that represents it.
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 string					Choices: present ← absent	Whether the given object should exist in GCP
table_reference dictionary						Reference describing the ID of this table.
	dataset_id string					The ID of the dataset containing this table.
	project_id string					The ID of the project containing this table.
	table_id string					The ID of the the table.
time_partitioning dictionary						If specified, configures time-based partitioning for this table.
	expiration_ms integer					Number of milliseconds for which to keep the storage for a partition.
	field string added in 2.9					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 string					The only type supported is DAY, which will generate one partition per day. Some valid choices include: "DAY"
view dictionary						The view definition.
	use_legacy_sql boolean				Choices: no yes	Specifies whether to use BigQuery's legacy SQL for this view .
	user_defined_function_resources list					Describes user-defined function resources used in the query.
		inline_code string				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 string				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 c(gcp_service_account_file) env variable.
for authentication, you can set service_account_contents using the c(GCP_SERVICE_ACCOUNT_CONTENTS) env variable.
For authentication, you can set service_account_email using the GCP_SERVICE_ACCOUNT_EMAIL 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
clustering list					success	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.
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.
requirePartitionFilter boolean					success	If set to true, queries over this table require a partition filter that can be used for partition elimination to be specified.
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.
	field string				success	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 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/2.9/modules/gcp_bigquery_table_module.html