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# 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)

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