BigQuery API - Class Google::Cloud::Bigquery::Dataset (v1.46.0)

Version 1.46.0

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Reference documentation and code samples for the BigQuery API class Google::Cloud::Bigquery::Dataset.

Dataset

Represents a Dataset. A dataset is a grouping mechanism that holds zero or more tables. Datasets are the lowest level unit of access control; you cannot control access at the table level. A dataset is contained within a specific project.

Inherits

• Object

Example

require "google/cloud/bigquery"

bigquery = Google::Cloud::Bigquery.new

dataset = bigquery.create_dataset "my_dataset",
                                  name: "My Dataset",
                                  description: "This is my Dataset"

Methods

#access

def access() { |access| ... } -> Google::Cloud::Bigquery::Dataset::Access

Retrieves the access rules for a Dataset. The rules can be updated when passing a block, see Access for all the methods available.

If the dataset is not a full resource representation (see #resource_full?), the full representation will be retrieved before the update to comply with ETag-based optimistic concurrency control.

Yields

• (access) — a block for setting rules

Yield Parameter

• access (Dataset::Access) — the object accepting rules

Returns

• (Google::Cloud::Bigquery::Dataset::Access) — The access object.

Examples

require "google/cloud/bigquery"

bigquery = Google::Cloud::Bigquery.new
dataset = bigquery.dataset "my_dataset"

access = dataset.access
access.writer_user? "[e-mail]" #=> false

Manage the access rules by passing a block:

require "google/cloud/bigquery"

bigquery = Google::Cloud::Bigquery.new
dataset = bigquery.dataset "my_dataset"

dataset.access do |access|
  access.add_owner_group "[e-mail]"
  access.add_writer_user "[e-mail]"
  access.remove_writer_user "[e-mail]"
  access.add_reader_special :all
  access.add_reader_view other_dataset_view_object
end

#api_url

def api_url() -> String, nil

A URL that can be used to access the dataset using the REST API.

Returns

• (String, nil) — A REST URL for the resource, or nil if the object is a reference (see #reference?).

#build_access_entry

def build_access_entry(target_types: nil) -> Google::Apis::BigqueryV2::DatasetAccessEntry

Build an object of type Google::Apis::BigqueryV2::DatasetAccessEntry from the self.

Parameter

• target_types (Array<String>) (defaults to: nil) — The list of target types within the dataset.

Returns

• (Google::Apis::BigqueryV2::DatasetAccessEntry) — Returns a DatasetAccessEntry object.

Example

require "google/cloud/bigquery"

bigquery = Google::Cloud::Bigquery.new
dataset = bigquery.dataset "my_dataset"
dataset_access_entry = dataset.access_entry target_types: ["VIEWS"]

#create_materialized_view

def create_materialized_view(table_id, query, name: nil, description: nil, enable_refresh: nil, refresh_interval_ms: nil) -> Google::Cloud::Bigquery::Table

Creates a new materialized view.

Materialized views are precomputed views that periodically cache results of a query for increased performance and efficiency. BigQuery leverages precomputed results from materialized views and whenever possible reads only delta changes from the base table to compute up-to-date results.

Queries that use materialized views are generally faster and consume less resources than queries that retrieve the same data only from the base table. Materialized views are helpful to significantly boost performance of workloads that have the characteristic of common and repeated queries.

For logical views, see #create_view.

Parameters

• table_id (String) — The ID of the materialized view table. The ID must contain only letters ([A-Za-z]), numbers ([0-9]), or underscores (_). The maximum length is 1,024 characters.
• query (String) — The query that BigQuery executes when the materialized view is referenced.
• name (String) (defaults to: nil) — A descriptive name for the table.
• description (String) (defaults to: nil) — A user-friendly description of the table.
• enable_refresh (Boolean) (defaults to: nil) — Enable automatic refresh of the materialized view when the base table is updated. Optional. The default value is true.
• refresh_interval_ms (Integer) (defaults to: nil) — The maximum frequency in milliseconds at which this materialized view will be refreshed. Optional. The default value is 1_800_000 (30 minutes).

Returns

• (Google::Cloud::Bigquery::Table) — A new table object.

Examples

require "google/cloud/bigquery"

bigquery = Google::Cloud::Bigquery.new
dataset = bigquery.dataset "my_dataset"

materialized_view = dataset.create_materialized_view "my_materialized_view",
                                                     "SELECT name, age FROM proj.dataset.users"

Automatic refresh can be disabled:

require "google/cloud/bigquery"

bigquery = Google::Cloud::Bigquery.new
dataset = bigquery.dataset "my_dataset"

materialized_view = dataset.create_materialized_view "my_materialized_view",
                                                     "SELECT name, age FROM proj.dataset.users",
                                                     enable_refresh: false

#create_routine

def create_routine(routine_id) { |routine| ... } -> Google::Cloud::Bigquery::Routine

Creates a new routine. The following attributes may be set in the yielded block: Routine::Updater#routine_type=, Routine::Updater#language=, Routine::Updater#arguments=, Routine::Updater#return_type=, Routine::Updater#imported_libraries=, Routine::Updater#body=, and Routine::Updater#description=.

Parameter

• routine_id (String) — The ID of the routine. The ID must contain only letters ([A-Za-z]), numbers ([0-9]), or underscores (_). The maximum length is 256 characters.

Yields

• (routine) — A block for setting properties on the routine.

Yield Parameter

• routine (Google::Cloud::Bigquery::Routine::Updater) — An updater to set additional properties on the routine.

Returns

• (Google::Cloud::Bigquery::Routine) — A new routine object.

Examples

require "google/cloud/bigquery"

bigquery = Google::Cloud::Bigquery.new
dataset = bigquery.dataset "my_dataset"

routine = dataset.create_routine "my_routine" do |r|
  r.routine_type = "SCALAR_FUNCTION"
  r.language = "SQL"
  r.arguments = [
    Google::Cloud::Bigquery::Argument.new(name: "x", data_type: "INT64")
  ]
  r.body = "x * 3"
  r.description = "My routine description"
end

puts routine.routine_id

Extended example:

require "google/cloud/bigquery"

bigquery = Google::Cloud::Bigquery.new
dataset = bigquery.dataset "my_dataset"
routine = dataset.create_routine "my_routine" do |r|
  r.routine_type = "SCALAR_FUNCTION"
  r.language = :SQL
  r.body = "(SELECT SUM(IF(elem.name = \"foo\",elem.val,null)) FROM UNNEST(arr) AS elem)"
  r.arguments = [
    Google::Cloud::Bigquery::Argument.new(
      name: "arr",
      argument_kind: "FIXED_TYPE",
      data_type: Google::Cloud::Bigquery::StandardSql::DataType.new(
        type_kind: "ARRAY",
        array_element_type: Google::Cloud::Bigquery::StandardSql::DataType.new(
          type_kind: "STRUCT",
          struct_type: Google::Cloud::Bigquery::StandardSql::StructType.new(
            fields: [
              Google::Cloud::Bigquery::StandardSql::Field.new(
                name: "name",
                type: Google::Cloud::Bigquery::StandardSql::DataType.new(type_kind: "STRING")
              ),
              Google::Cloud::Bigquery::StandardSql::Field.new(
                name: "val",
                type: Google::Cloud::Bigquery::StandardSql::DataType.new(type_kind: "INT64")
              )
            ]
          )
        )
      )
    )
  ]
end

#create_table

def create_table(table_id, name: nil, description: nil) { |table| ... } -> Google::Cloud::Bigquery::Table

Creates a new table. If you are adapting existing code that was written for the Rest API , you can pass the table's schema as a hash (see example.)

Parameters

• table_id (String) — The ID of the table. The ID must contain only letters ([A-Za-z]), numbers ([0-9]), or underscores (_). The maximum length is 1,024 characters.
• name (String) (defaults to: nil) — A descriptive name for the table.
• description (String) (defaults to: nil) — A user-friendly description of the table.

Yields

• (table) — a block for setting the table

Yield Parameter

• table (Google::Cloud::Bigquery::Table::Updater) — An updater to set additional properties on the table in the API request to create it.

Returns

• (Google::Cloud::Bigquery::Table) — A new table object.

Examples

require "google/cloud/bigquery"

bigquery = Google::Cloud::Bigquery.new
dataset = bigquery.dataset "my_dataset"

table = dataset.create_table "my_table"

You can also pass name and description options.

require "google/cloud/bigquery"

bigquery = Google::Cloud::Bigquery.new
dataset = bigquery.dataset "my_dataset"

table = dataset.create_table "my_table",
                             name: "My Table",
                             description: "A description of table."

Or the table's schema can be configured with the block.

require "google/cloud/bigquery"

bigquery = Google::Cloud::Bigquery.new
dataset = bigquery.dataset "my_dataset"

table = dataset.create_table "my_table" do |t|
  t.schema.string "first_name", mode: :required
  t.schema.record "cities_lived", mode: :required do |s|
    s.string "place", mode: :required
    s.integer "number_of_years", mode: :required
  end
end

You can define the schema using a nested block.

require "google/cloud/bigquery"

bigquery = Google::Cloud::Bigquery.new
dataset = bigquery.dataset "my_dataset"

table = dataset.create_table "my_table" do |t|
  t.name = "My Table"
  t.description = "A description of my table."
  t.schema do |s|
    s.string "first_name", mode: :required
    s.record "cities_lived", mode: :repeated do |r|
      r.string "place", mode: :required
      r.integer "number_of_years", mode: :required
    end
  end
end

With time partitioning and clustering.

require "google/cloud/bigquery"

bigquery = Google::Cloud::Bigquery.new
dataset = bigquery.dataset "my_dataset"

table = dataset.create_table "my_table" do |t|
  t.schema do |schema|
    schema.timestamp "dob", mode: :required
    schema.string "first_name", mode: :required
    schema.string "last_name", mode: :required
  end
  t.time_partitioning_type  = "DAY"
  t.time_partitioning_field = "dob"
  t.clustering_fields = ["last_name", "first_name"]
end

With range partitioning.

require "google/cloud/bigquery"

bigquery = Google::Cloud::Bigquery.new
dataset = bigquery.dataset "my_dataset"

table = dataset.create_table "my_table" do |t|
  t.schema do |schema|
    schema.integer "my_table_id", mode: :required
    schema.string "my_table_data", mode: :required
  end
  t.range_partitioning_field = "my_table_id"
  t.range_partitioning_start = 0
  t.range_partitioning_interval = 10
  t.range_partitioning_end = 100
end

#create_view

def create_view(table_id, query, name: nil, description: nil, standard_sql: nil, legacy_sql: nil, udfs: nil) -> Google::Cloud::Bigquery::Table

Creates a new view, which is a virtual table defined by the given SQL query.

With BigQuery's logical views, the query that defines the view is re-executed every time the view is queried. Queries are billed according to the total amount of data in all table fields referenced directly or indirectly by the top-level query. (See Table#view? and Table#query.)

For materialized views, see #create_materialized_view.

Parameters

• table_id (String) — The ID of the view table. The ID must contain only letters ([A-Za-z]), numbers ([0-9]), or underscores (_). The maximum length is 1,024 characters.
• query (String) — The query that BigQuery executes when the view is referenced.
• name (String) (defaults to: nil) — A descriptive name for the table.
• description (String) (defaults to: nil) — A user-friendly description of the table.
• standard_sql (Boolean) (defaults to: nil) — Specifies whether to use BigQuery's standard SQL dialect. Optional. The default value is true.
• legacy_sql (Boolean) (defaults to: nil) — Specifies whether to use BigQuery's legacy SQL dialect. Optional. The default value is false.
• udfs (Array<String>, String) (defaults to: nil) — User-defined function resources used in a legacy SQL query. May be either a code resource to load from a Google Cloud Storage URI (gs://bucket/path), or an inline resource that contains code for a user-defined function (UDF). Providing an inline code resource is equivalent to providing a URI for a file containing the same code.

  This parameter is used for defining User Defined Function (UDF) resources only when using legacy SQL. Users of standard SQL should leverage either DDL (e.g. CREATE [TEMPORARY] FUNCTION ...) or the Routines API to define UDF resources.

  For additional information on migrating, see: Migrating to standard SQL - Differences in user-defined JavaScript functions

Returns

• (Google::Cloud::Bigquery::Table) — A new table object.

Examples

require "google/cloud/bigquery"

bigquery = Google::Cloud::Bigquery.new
dataset = bigquery.dataset "my_dataset"

view = dataset.create_view "my_view",
                           "SELECT name, age FROM proj.dataset.users"

A name and description can be provided:

require "google/cloud/bigquery"

bigquery = Google::Cloud::Bigquery.new
dataset = bigquery.dataset "my_dataset"

view = dataset.create_view "my_view",
                           "SELECT name, age FROM proj.dataset.users",
                           name: "My View", description: "This is my view"

#created_at

def created_at() -> Time, nil

The time when this dataset was created.

Returns

• (Time, nil) — The creation time, or nil if not present or the object is a reference (see #reference?).

#dataset_id

def dataset_id() -> String

A unique ID for this dataset, without the project name.

Returns

• (String) — The ID must contain only letters ([A-Za-z]), numbers ([0-9]), or underscores (_). The maximum length is 1,024 characters.

#default_encryption

def default_encryption() -> EncryptionConfiguration, nil

The EncryptionConfiguration object that represents the default encryption method for all tables and models in the dataset. Once this property is set, all newly-created partitioned tables and models in the dataset will have their encryption set to this value, unless table creation request (or query) overrides it.

Present only if this dataset is using custom default encryption.

Returns

• (EncryptionConfiguration, nil) — The default encryption configuration.

  @!group Attributes

Example

require "google/cloud/bigquery"

bigquery = Google::Cloud::Bigquery.new
dataset = bigquery.dataset "my_dataset"

encrypt_config = dataset.default_encryption

#default_encryption=

def default_encryption=(value)

Set the EncryptionConfiguration object that represents the default encryption method for all tables and models in the dataset. Once this property is set, all newly-created partitioned tables and models in the dataset will have their encryption set to this value, unless table creation request (or query) overrides it.

If the dataset is not a full resource representation (see #resource_full?), the full representation will be retrieved before the update to comply with ETag-based optimistic concurrency control.

Parameter

• value (EncryptionConfiguration) — The new encryption config.

Example

require "google/cloud/bigquery"

bigquery = Google::Cloud::Bigquery.new
dataset = bigquery.dataset "my_dataset"

key_name = "projects/a/locations/b/keyRings/c/cryptoKeys/d"
encrypt_config = bigquery.encryption kms_key: key_name

dataset.default_encryption = encrypt_config

#default_expiration

def default_expiration() -> Integer, nil

The default lifetime of all tables in the dataset, in milliseconds.

Returns

• (Integer, nil) — The default table expiration in milliseconds, or nil if not present or the object is a reference (see #reference?).

#default_expiration=

def default_expiration=(new_default_expiration)

Updates the default lifetime of all tables in the dataset, in milliseconds.

If the dataset is not a full resource representation (see #resource_full?), the full representation will be retrieved before the update to comply with ETag-based optimistic concurrency control.

Parameter

• new_default_expiration (Integer) — The new default table expiration in milliseconds.

#delete

def delete(force: nil) -> Boolean

Permanently deletes the dataset. The dataset must be empty before it can be deleted unless the force option is set to true.

Parameter

• force (Boolean) (defaults to: nil) — If true, delete all the tables in the dataset. If false and the dataset contains tables, the request will fail. Default is false.

Returns

• (Boolean) — Returns true if the dataset was deleted.

Example

require "google/cloud/bigquery"

bigquery = Google::Cloud::Bigquery.new
dataset = bigquery.dataset "my_dataset"

dataset.delete

#description

def description() -> String, nil

A user-friendly description of the dataset.

Returns

• (String, nil) — The description, or nil if the object is a reference (see #reference?).

#description=

def description=(new_description)

Updates the user-friendly description of the dataset.

If the dataset is not a full resource representation (see #resource_full?), the full representation will be retrieved before the update to comply with ETag-based optimistic concurrency control.

Parameter

• new_description (String) — The new description for the dataset.

#etag

def etag() -> String, nil

The ETag hash of the dataset.

Returns

• (String, nil) — The ETag hash, or nil if the object is a reference (see #reference?).

#exists?

def exists?(force: false) -> Boolean

Determines whether the dataset exists in the BigQuery service. The result is cached locally. To refresh state, set force to true.

Parameter

• force (Boolean) (defaults to: false) — Force the latest resource representation to be retrieved from the BigQuery service when true. Otherwise the return value of this method will be memoized to reduce the number of API calls made to the BigQuery service. The default is false.

Returns

• (Boolean) — true when the dataset exists in the BigQuery service, false otherwise.

Example

require "google/cloud/bigquery"

bigquery = Google::Cloud::Bigquery.new

dataset = bigquery.dataset "my_dataset", skip_lookup: true
dataset.exists? # true

#external

def external(url, format: nil) -> External::DataSource

Creates a new External::DataSource (or subclass) object that represents the external data source that can be queried from directly, even though the data is not stored in BigQuery. Instead of loading or streaming the data, this object references the external data source.

Parameters

• url (String, Array<String>) — The fully-qualified URL(s) that point to your data in Google Cloud. An attempt will be made to derive the format from the URLs provided.
• format (String|Symbol) (defaults to: nil) —

  The data format. This value will be used even if the provided URLs are recognized as a different format. Optional.

  The following values are supported:

  • csv - CSV
  • json - Newline-delimited JSON
  • avro - Avro
  • sheets - Google Sheets
  • datastore_backup - Cloud Datastore backup
  • bigtable - Bigtable

Yields

• (ext)

Returns

• (External::DataSource) — External data source.

Example

require "google/cloud/bigquery"

bigquery = Google::Cloud::Bigquery.new

dataset = bigquery.dataset "my_dataset"

csv_url = "gs://bucket/path/to/data.csv"
csv_table = dataset.external csv_url do |csv|
  csv.autodetect = true
  csv.skip_leading_rows = 1
end

data = dataset.query "SELECT * FROM my_ext_table",
                      external: { my_ext_table: csv_table }

data.each do |row|
  puts row[:name]
end

#insert

def insert(table_id, rows, insert_ids: nil, skip_invalid: nil, ignore_unknown: nil, autocreate: nil, &block) { |table| ... } -> Google::Cloud::Bigquery::InsertResponse

Inserts data into the given table for near-immediate querying, without the need to complete a load operation before the data can appear in query results.

Simple Ruby types are generally accepted per JSON rules, along with the following support for BigQuery's more complex types:

| BigQuery | Ruby | Notes | |--------------|--------------------------------------|----------------------------------------------------| | NUMERIC | BigDecimal | BigDecimal values will be rounded to scale 9. | | BIGNUMERIC | String | Pass as String to avoid rounding to scale 9. | | DATETIME | DateTime | DATETIME does not support time zone. | | DATE | Date | | | GEOGRAPHY | String | | | TIMESTAMP | Time | | | TIME | Google::Cloud::BigQuery::Time | | | BYTES | File, IO, StringIO, or similar | | | ARRAY | Array | Nested arrays, nil values are not supported. | | STRUCT | Hash | Hash keys may be strings or symbols. |

Because BigQuery's streaming API is designed for high insertion rates, modifications to the underlying table metadata are eventually consistent when interacting with the streaming system. In most cases metadata changes are propagated within minutes, but during this period API responses may reflect the inconsistent state of the table.

The value :skip can be provided to skip the generation of IDs for all rows, or to skip the generation of an ID for a specific row in the array.

Parameters

• table_id (String) — The ID of the destination table.
• rows (Hash, Array<Hash>) — A hash object or array of hash objects containing the data. Required. BigDecimal values will be rounded to scale 9 to conform with the BigQuery NUMERIC data type. To avoid rounding BIGNUMERIC type values with scale greater than 9, use String instead of BigDecimal.
• insert_ids (Array<String|Symbol>, Symbol) (defaults to: nil) — A unique ID for each row. BigQuery uses this property to detect duplicate insertion requests on a best-effort basis. For more information, see data consistency. Optional. If not provided, the client library will assign a UUID to each row before the request is sent.
• skip_invalid (Boolean) (defaults to: nil) — Insert all valid rows of a request, even if invalid rows exist. The default value is false, which causes the entire request to fail if any invalid rows exist.
• ignore_unknown (Boolean) (defaults to: nil) — Accept rows that contain values that do not match the schema. The unknown values are ignored. Default is false, which treats unknown values as errors.
• autocreate (Boolean) (defaults to: nil) — Specifies whether the method should create a new table with the given table_id, if no table is found for table_id. The default value is false.

Yields

• (table) — a block for setting the table

Yield Parameter

• table (Google::Cloud::Bigquery::Table::Updater) — An updater to set additional properties on the table in the API request to create it. Only used when autocreate is set and the table does not already exist.

Returns

• (Google::Cloud::Bigquery::InsertResponse) — An insert response object.

Raises

• (ArgumentError)

Examples

require "google/cloud/bigquery"

bigquery = Google::Cloud::Bigquery.new
dataset = bigquery.dataset "my_dataset"

rows = [
  { "first_name" => "Alice", "age" => 21 },
  { "first_name" => "Bob", "age" => 22 }
]
dataset.insert "my_table", rows

Avoid retrieving the dataset with skip_lookup:

require "google/cloud/bigquery"

bigquery = Google::Cloud::Bigquery.new

dataset = bigquery.dataset "my_dataset", skip_lookup: true

rows = [
  { "first_name" => "Alice", "age" => 21 },
  { "first_name" => "Bob", "age" => 22 }
]
dataset.insert "my_table", rows

Using autocreate to create a new table if none exists.

require "google/cloud/bigquery"

bigquery = Google::Cloud::Bigquery.new
dataset = bigquery.dataset "my_dataset"

rows = [
  { "first_name" => "Alice", "age" => 21 },
  { "first_name" => "Bob", "age" => 22 }
]
dataset.insert "my_table", rows, autocreate: true do |t|
  t.schema.string "first_name", mode: :required
  t.schema.integer "age", mode: :required
end

Pass BIGNUMERIC value as a string to avoid rounding to scale 9 in the conversion from BigDecimal:

require "google/cloud/bigquery"

bigquery = Google::Cloud::Bigquery.new
dataset = bigquery.dataset "my_dataset"

row = {
  "my_numeric" => BigDecimal("123456798.987654321"),
  "my_bignumeric" => "123456798.98765432100001" # BigDecimal would be rounded, use String instead!
}
dataset.insert "my_table", row

#insert_async

def insert_async(table_id, skip_invalid: nil, ignore_unknown: nil, max_bytes: 10_000_000, max_rows: 500, interval: 10, threads: 4, view: nil, &block) { |result| ... } -> Table::AsyncInserter

Create an asynchronous inserter object used to insert rows in batches.

Parameters

• table_id (String) — The ID of the table to insert rows into.
• skip_invalid (Boolean) (defaults to: nil) — Insert all valid rows of a request, even if invalid rows exist. The default value is false, which causes the entire request to fail if any invalid rows exist.
• ignore_unknown (Boolean) (defaults to: nil) — Accept rows that contain values that do not match the schema. The unknown values are ignored. Default is false, which treats unknown values as errors.
• max_rows (Integer) (defaults to: 500) — The maximum number of rows to be collected before the batch is published. Default is 500.
• view (String) (defaults to: nil) — Specifies the view that determines which table information is returned. By default, basic table information and storage statistics (STORAGE_STATS) are returned. Accepted values include :unspecified, :basic, :storage, and :full. For more information, see BigQuery Classes. The default value is the :unspecified view type.

Yields

• (response) — the callback for when a batch of rows is inserted

Yield Parameter

• result (Table::AsyncInserter::Result) — the result of the asynchronous insert

Returns

• (Table::AsyncInserter) — Returns an inserter object.

Examples

require "google/cloud/bigquery"

bigquery = Google::Cloud::Bigquery.new
dataset = bigquery.dataset "my_dataset"
inserter = dataset.insert_async "my_table" do |result|
  if result.error?
    log_error result.error
  else
    log_insert "inserted #{result.insert_count} rows " \
      "with #{result.error_count} errors"
  end
end

rows = [
  { "first_name" => "Alice", "age" => 21 },
  { "first_name" => "Bob", "age" => 22 }
]
inserter.insert rows

inserter.stop.wait!

Avoid retrieving transient stats of the table with while inserting :

require "google/cloud/bigquery"

bigquery = Google::Cloud::Bigquery.new
dataset = bigquery.dataset "my_dataset"
inserter = dataset.insert_async("my_table", view: "basic") do |result|
  if result.error?
    log_error result.error
  else
    log_insert "inserted #{result.insert_count} rows " \
      "with #{result.error_count} errors"
  end
end

rows = [
  { "first_name" => "Alice", "age" => 21 },
  { "first_name" => "Bob", "age" => 22 }
]
inserter.insert rows

inserter.stop.wait!

#labels

def labels() -> Hash<String, String>, nil

A hash of user-provided labels associated with this dataset. Labels are used to organize and group datasets. See Using Labels.

The returned hash is frozen and changes are not allowed. Use #labels= to replace the entire hash.

Returns

• (Hash<String, String>, nil) — A hash containing key/value pairs, or nil if the object is a reference (see #reference?).

Example

require "google/cloud/bigquery"

bigquery = Google::Cloud::Bigquery.new
dataset = bigquery.dataset "my_dataset"

labels = dataset.labels
labels["department"] #=> "shipping"

#labels=

def labels=(labels)

Updates the hash of user-provided labels associated with this dataset. Labels are used to organize and group datasets. See Using Labels.

If the dataset is not a full resource representation (see #resource_full?), the full representation will be retrieved before the update to comply with ETag-based optimistic concurrency control.

Parameter

• labels (Hash<String, String>) —

  A hash containing key/value pairs.

  The labels applied to a resource must meet the following requirements:

  • Each resource can have multiple labels, up to a maximum of 64.
  • Each label must be a key-value pair.
  • Keys have a minimum length of 1 character and a maximum length of 63 characters, and cannot be empty. Values can be empty, and have a maximum length of 63 characters.
  • Keys and values can contain only lowercase letters, numeric characters, underscores, and dashes. All characters must use UTF-8 encoding, and international characters are allowed.
  • The key portion of a label must be unique. However, you can use the same key with multiple resources.
  • Keys must start with a lowercase letter or international character.

Example

require "google/cloud/bigquery"

bigquery = Google::Cloud::Bigquery.new
dataset = bigquery.dataset "my_dataset"

dataset.labels = { "department" => "shipping" }

#load

def load(table_id, files, format: nil, create: nil, write: nil, projection_fields: nil, jagged_rows: nil, quoted_newlines: nil, encoding: nil, delimiter: nil, ignore_unknown: nil, max_bad_records: nil, quote: nil, skip_leading: nil, schema: nil, autodetect: nil, null_marker: nil, session_id: nil, &block) { |updater| ... } -> Boolean

Loads data into the provided destination table using a synchronous method that blocks for a response. Timeouts and transient errors are generally handled as needed to complete the job. See also #load_job.

For the source of the data, you can pass a google-cloud storage file path or a google-cloud-storage File instance. Or, you can upload a file directly. See Loading Data with a POST Request.

The geographic location for the job ("US", "EU", etc.) can be set via LoadJob::Updater#location= in a block passed to this method. If the dataset is a full resource representation (see #resource_full?), the location of the job will be automatically set to the location of the dataset.

Parameters

• table_id (String) — The destination table to load the data into.
• files (File, Google::Cloud::Storage::File, String, URI, Array<Google::Cloud::Storage::File, String, URI>) — A file or the URI of a Google Cloud Storage file, or an Array of those, containing data to load into the table.
• format (String) (defaults to: nil) —

  The exported file format. The default value is csv.

  The following values are supported:

  • csv - CSV
  • json - Newline-delimited JSON
  • avro - Avro
  • orc - ORC
  • parquet - Parquet
  • datastore_backup - Cloud Datastore backup
• create (String) (defaults to: nil) —

  Specifies whether the job is allowed to create new tables. The default value is needed.

  The following values are supported:

  • needed - Create the table if it does not exist.
  • never - The table must already exist. A 'notFound' error is raised if the table does not exist.
• write (String) (defaults to: nil) —

  Specifies how to handle data already present in the table. The default value is append.

  The following values are supported:

  • truncate - BigQuery overwrites the table data.
  • append - BigQuery appends the data to the table.
  • empty - An error will be returned if the table already contains data.
• projection_fields (Array<String>) (defaults to: nil) — If the format option is set to datastore_backup, indicates which entity properties to load from a Cloud Datastore backup. Property names are case sensitive and must be top-level properties. If not set, BigQuery loads all properties. If any named property isn't found in the Cloud Datastore backup, an invalid error is returned.
• jagged_rows (Boolean) (defaults to: nil) — Accept rows that are missing trailing optional columns. The missing values are treated as nulls. 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. Only applicable to CSV, ignored for other formats.
• quoted_newlines (Boolean) (defaults to: nil) — Indicates if BigQuery should allow quoted data sections that contain newline characters in a CSV file. The default value is false.
• autodetect (Boolean) (defaults to: nil) — Indicates if BigQuery should automatically infer the options and schema for CSV and JSON sources. The default value is false.
• encoding (String) (defaults to: nil) — The character encoding of the data. The supported values are UTF-8 or ISO-8859-1. The default value is UTF-8.
• delimiter (String) (defaults to: nil) — Specifices 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. Default is ,.
• ignore_unknown (Boolean) (defaults to: nil) —

  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 format property determines what BigQuery treats as an extra value:

  • CSV: Trailing columns
  • JSON: Named values that don't match any column names
• max_bad_records (Integer) (defaults to: nil) — The maximum number of bad records that BigQuery can ignore when running the job. If the number of bad records exceeds this value, an invalid error is returned in the job result. The default value is 0, which requires that all records are valid.
• null_marker (String) (defaults to: nil) — Specifies a string that represents a null value in a CSV file. For example, if you specify \N, BigQuery interprets \N as a null value when loading a CSV file. The default value is the empty string. If you set this property to a custom value, BigQuery throws an error if an empty string is present for all data types except for STRING and BYTE. For STRING and BYTE columns, BigQuery interprets the empty string as an empty value.
• quote (String) (defaults to: nil) — 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 (Integer) (defaults to: nil) — The number of rows at the top of a CSV file that BigQuery will skip when loading the data. The default value is 0. This property is useful if you have header rows in the file that should be skipped.
• schema (Google::Cloud::Bigquery::Schema) (defaults to: nil) — The schema for the destination table. Optional. The schema can be omitted if the destination table already exists, or if you're loading data from a Google Cloud Datastore backup.

  See Project#schema for the creation of the schema for use with this option. Also note that for most use cases, the block yielded by this method is a more convenient way to configure the schema.

• session_id (string) (defaults to: nil) — Session ID in which the load job must run.

Yields

• (updater) — A block for setting the schema of the destination table and other options for the load job. The schema can be omitted if the destination table already exists, or if you're loading data from a Google Cloud Datastore backup.

Yield Parameter

• updater (Google::Cloud::Bigquery::LoadJob::Updater) — An updater to modify the load job and its schema.

Returns

• (Boolean) — Returns true if the load job was successful.

Examples

require "google/cloud/bigquery"

bigquery = Google::Cloud::Bigquery.new
dataset = bigquery.dataset "my_dataset"

gs_url = "gs://my-bucket/file-name.csv"
dataset.load "my_new_table", gs_url do |schema|
  schema.string "first_name", mode: :required
  schema.record "cities_lived", mode: :repeated do |nested_schema|
    nested_schema.string "place", mode: :required
    nested_schema.integer "number_of_years", mode: :required
  end
end

Pass a google-cloud-storage File instance:

require "google/cloud/bigquery"
require "google/cloud/storage"

bigquery = Google::Cloud::Bigquery.new
dataset = bigquery.dataset "my_dataset"

storage = Google::Cloud::Storage.new
bucket = storage.bucket "my-bucket"
file = bucket.file "file-name.csv"
dataset.load "my_new_table", file do |schema|
  schema.string "first_name", mode: :required
  schema.record "cities_lived", mode: :repeated do |nested_schema|
    nested_schema.string "place", mode: :required
    nested_schema.integer "number_of_years", mode: :required
  end
end

Pass a list of google-cloud-storage files:

require "google/cloud/bigquery"
require "google/cloud/storage"

bigquery = Google::Cloud::Bigquery.new
dataset = bigquery.dataset "my_dataset"

storage = Google::Cloud::Storage.new
bucket = storage.bucket "my-bucket"
file = bucket.file "file-name.csv"
list = [file, "gs://my-bucket/file-name2.csv"]
dataset.load "my_new_table", list do |schema|
  schema.string "first_name", mode: :required
  schema.record "cities_lived", mode: :repeated do |nested_schema|
    nested_schema.string "place", mode: :required
    nested_schema.integer "number_of_years", mode: :required
  end
end

Upload a file directly:

require "google/cloud/bigquery"

bigquery = Google::Cloud::Bigquery.new
dataset = bigquery.dataset "my_dataset"

file = File.open "my_data.csv"
dataset.load "my_new_table", file do |schema|
  schema.string "first_name", mode: :required
  schema.record "cities_lived", mode: :repeated do |nested_schema|
    nested_schema.string "place", mode: :required
    nested_schema.integer "number_of_years", mode: :required
  end
end

Schema is not required with a Cloud Datastore backup:

require "google/cloud/bigquery"

bigquery = Google::Cloud::Bigquery.new
dataset = bigquery.dataset "my_dataset"

dataset.load "my_new_table",
             "gs://my-bucket/xxxx.kind_name.backup_info" do |j|
  j.format = "datastore_backup"
end

#load_job

def load_job(table_id, files, format: nil, create: nil, write: nil, projection_fields: nil, jagged_rows: nil, quoted_newlines: nil, encoding: nil, delimiter: nil, ignore_unknown: nil, max_bad_records: nil, quote: nil, skip_leading: nil, schema: nil, job_id: nil, prefix: nil, labels: nil, autodetect: nil, null_marker: nil, dryrun: nil, create_session: nil, session_id: nil) { |updater| ... } -> Google::Cloud::Bigquery::LoadJob

Loads data into the provided destination table using an asynchronous method. In this method, a LoadJob is immediately returned. The caller may poll the service by repeatedly calling Job#reload! and Job#done? to detect when the job is done, or simply block until the job is done by calling #Job#wait_until_done!. See also #load.

For the source of the data, you can pass a google-cloud storage file path or a google-cloud-storage File instance. Or, you can upload a file directly. See Loading Data with a POST Request.

The geographic location for the job ("US", "EU", etc.) can be set via LoadJob::Updater#location= in a block passed to this method. If the dataset is a full resource representation (see #resource_full?), the location of the job will be automatically set to the location of the dataset.

Parameters

• table_id (String) — The destination table to load the data into.
• files (File, Google::Cloud::Storage::File, String, URI, Array<Google::Cloud::Storage::File, String, URI>) — A file or the URI of a Google Cloud Storage file, or an Array of those, containing data to load into the table.
• format (String) (defaults to: nil) —

  The exported file format. The default value is csv.

  The following values are supported:

  • csv - CSV
  • json - Newline-delimited JSON
  • avro - Avro
  • orc - ORC
  • parquet - Parquet
  • datastore_backup - Cloud Datastore backup
• create (String) (defaults to: nil) —

  Specifies whether the job is allowed to create new tables. The default value is needed.

  The following values are supported:

  • needed - Create the table if it does not exist.
  • never - The table must already exist. A 'notFound' error is raised if the table does not exist.
• write (String) (defaults to: nil) —

  Specifies how to handle data already present in the table. The default value is append.

  The following values are supported:

  • truncate - BigQuery overwrites the table data.
  • append - BigQuery appends the data to the table.
  • empty - An error will be returned if the table already contains data.
• projection_fields (Array<String>) (defaults to: nil) — If the format option is set to datastore_backup, indicates which entity properties to load from a Cloud Datastore backup. Property names are case sensitive and must be top-level properties. If not set, BigQuery loads all properties. If any named property isn't found in the Cloud Datastore backup, an invalid error is returned.
• jagged_rows (Boolean) (defaults to: nil) — Accept rows that are missing trailing optional columns. The missing values are treated as nulls. 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. Only applicable to CSV, ignored for other formats.
• quoted_newlines (Boolean) (defaults to: nil) — Indicates if BigQuery should allow quoted data sections that contain newline characters in a CSV file. The default value is false.
• autodetect (Boolean) (defaults to: nil) — Indicates if BigQuery should automatically infer the options and schema for CSV and JSON sources. The default value is false.
• encoding (String) (defaults to: nil) — The character encoding of the data. The supported values are UTF-8 or ISO-8859-1. The default value is UTF-8.
• delimiter (String) (defaults to: nil) — Specifices 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. Default is ,.
• ignore_unknown (Boolean) (defaults to: nil) —

  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 format property determines what BigQuery treats as an extra value:

  • CSV: Trailing columns
  • JSON: Named values that don't match any column names
• max_bad_records (Integer) (defaults to: nil) — The maximum number of bad records that BigQuery can ignore when running the job. If the number of bad records exceeds this value, an invalid error is returned in the job result. The default value is 0, which requires that all records are valid.
• null_marker (String) (defaults to: nil) — Specifies a string that represents a null value in a CSV file. For example, if you specify \N, BigQuery interprets \N as a null value when loading a CSV file. The default value is the empty string. If you set this property to a custom value, BigQuery throws an error if an empty string is present for all data types except for STRING and BYTE. For STRING and BYTE columns, BigQuery interprets the empty string as an empty value.
• quote (String) (defaults to: nil) — 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 (Integer) (defaults to: nil) — The number of rows at the top of a CSV file that BigQuery will skip when loading the data. The default value is 0. This property is useful if you have header rows in the file that should be skipped.
• schema (Google::Cloud::Bigquery::Schema) (defaults to: nil) — The schema for the destination table. Optional. The schema can be omitted if the destination table already exists, or if you're loading data from a Google Cloud Datastore backup.

  See Project#schema for the creation of the schema for use with this option. Also note that for most use cases, the block yielded by this method is a more convenient way to configure the schema.

• job_id (String) (defaults to: nil) — A user-defined ID for the load job. The ID must contain only letters ([A-Za-z]), numbers ([0-9]), underscores (_), or dashes (-). The maximum length is 1,024 characters. If job_id is provided, then prefix will not be used.

  See Generating a job ID.

• prefix (String) (defaults to: nil) — A string, usually human-readable, that will be prepended to a generated value to produce a unique job ID. For example, the prefix daily_import_job_ can be given to generate a job ID such as daily_import_job_12vEDtMQ0mbp1Mo5Z7mzAFQJZazh. The prefix must contain only letters ([A-Za-z]), numbers ([0-9]), underscores (_), or dashes (-). The maximum length of the entire ID is 1,024 characters. If job_id is provided, then prefix will not be used.
• labels (Hash) (defaults to: nil) —

  A hash of user-provided labels associated with the job. You can use these to organize and group your jobs.

  The labels applied to a resource must meet the following requirements:

  • Each resource can have multiple labels, up to a maximum of 64.
  • Each label must be a key-value pair.
  • Keys have a minimum length of 1 character and a maximum length of 63 characters, and cannot be empty. Values can be empty, and have a maximum length of 63 characters.
  • Keys and values can contain only lowercase letters, numeric characters, underscores, and dashes. All characters must use UTF-8 encoding, and international characters are allowed.
  • The key portion of a label must be unique. However, you can use the same key with multiple resources.
  • Keys must start with a lowercase letter or international character.
• dryrun (Boolean) (defaults to: nil) — If set, don't actually run this job. Behavior is undefined however for non-query jobs and may result in an error. Deprecated.
• create_session (Boolean) (defaults to: nil) — If set to true a new session will be created and the load job will happen in the table created within that session. Note: This will work only for _SESSION dataset.
• session_id (string) (defaults to: nil) — Session ID in which the load job must run.

Yields

• (updater) — A block for setting the schema and other options for the destination table. The schema can be omitted if the destination table already exists, or if you're loading data from a Google Cloud Datastore backup.

Yield Parameter

• updater (Google::Cloud::Bigquery::LoadJob::Updater) — An updater to modify the load job and its schema.

Returns

• (Google::Cloud::Bigquery::LoadJob) — A new load job object.

Examples

require "google/cloud/bigquery"

bigquery = Google::Cloud::Bigquery.new
dataset = bigquery.dataset "my_dataset"

gs_url = "gs://my-bucket/file-name.csv"
load_job = dataset.load_job "my_new_table", gs_url do |schema|
  schema.string "first_name", mode: :required
  schema.record "cities_lived", mode: :repeated do |nested_schema|
    nested_schema.string "place", mode: :required
    nested_schema.integer "number_of_years", mode: :required
  end
end

Pass a google-cloud-storage File instance:

require "google/cloud/bigquery"
require "google/cloud/storage"

bigquery = Google::Cloud::Bigquery.new
dataset = bigquery.dataset "my_dataset"

storage = Google::Cloud::Storage.new
bucket = storage.bucket "my-bucket"
file = bucket.file "file-name.csv"
load_job = dataset.load_job "my_new_table", file do |schema|
  schema.string "first_name", mode: :required
  schema.record "cities_lived", mode: :repeated do |nested_schema|
    nested_schema.string "place", mode: :required
    nested_schema.integer "number_of_years", mode: :required
  end
end

Pass a list of google-cloud-storage files:

require "google/cloud/bigquery"
require "google/cloud/storage"

bigquery = Google::Cloud::Bigquery.new
dataset = bigquery.dataset "my_dataset"

storage = Google::Cloud::Storage.new
bucket = storage.bucket "my-bucket"
file = bucket.file "file-name.csv"
list = [file, "gs://my-bucket/file-name2.csv"]
load_job = dataset.load_job "my_new_table", list do |schema|
  schema.string "first_name", mode: :required
  schema.record "cities_lived", mode: :repeated do |nested_schema|
    nested_schema.string "place", mode: :required
    nested_schema.integer "number_of_years", mode: :required
  end
end

Upload a file directly:

require "google/cloud/bigquery"

bigquery = Google::Cloud::Bigquery.new
dataset = bigquery.dataset "my_dataset"

file = File.open "my_data.csv"
load_job = dataset.load_job "my_new_table", file do |schema|
  schema.string "first_name", mode: :required
  schema.record "cities_lived", mode: :repeated do |nested_schema|
    nested_schema.string "place", mode: :required
    nested_schema.integer "number_of_years", mode: :required
  end
end

Schema is not required with a Cloud Datastore backup:

require "google/cloud/bigquery"

bigquery = Google::Cloud::Bigquery.new
dataset = bigquery.dataset "my_dataset"

load_job = dataset.load_job(
             "my_new_table",
             "gs://my-bucket/xxxx.kind_name.backup_info") do |j|
  j.format = "datastore_backup"
end

#location

def location() -> String, nil

The geographic location where the dataset should reside. Possible values include EU and US. The default value is US.

Returns

• (String, nil) — The geographic location, or nil if the object is a reference (see #reference?).

#model

def model(model_id, skip_lookup: nil) -> Google::Cloud::Bigquery::Model, nil

Retrieves an existing model by ID.

Parameters

• model_id (String) — The ID of a model.
• skip_lookup (Boolean) (defaults to: nil) — Optionally create just a local reference object without verifying that the resource exists on the BigQuery service. Calls made on this object will raise errors if the resource does not exist. Default is false. Optional.

Returns

• (Google::Cloud::Bigquery::Model, nil) — Returns nil if the model does not exist.

Examples

require "google/cloud/bigquery"

bigquery = Google::Cloud::Bigquery.new
dataset = bigquery.dataset "my_dataset"

model = dataset.model "my_model"
puts model.model_id

Avoid retrieving the model resource with skip_lookup:

require "google/cloud/bigquery"

bigquery = Google::Cloud::Bigquery.new

dataset = bigquery.dataset "my_dataset"

model = dataset.model "my_model", skip_lookup: true

#models

def models(token: nil, max: nil) -> Array<Google::Cloud::Bigquery::Model>

Retrieves the list of models belonging to the dataset.

Parameters

• token (String) (defaults to: nil) — A previously-returned page token representing part of the larger set of results to view.
• max (Integer) (defaults to: nil) — Maximum number of models to return.

Returns

• (Array<Google::Cloud::Bigquery::Model>) — An array of models (See Model::List)

Examples

require "google/cloud/bigquery"

bigquery = Google::Cloud::Bigquery.new
dataset = bigquery.dataset "my_dataset"

models = dataset.models
models.each do |model|
  puts model.model_id
end

Retrieve all models: (See Model::List#all)

require "google/cloud/bigquery"

bigquery = Google::Cloud::Bigquery.new
dataset = bigquery.dataset "my_dataset"

models = dataset.models
models.all do |model|
  puts model.model_id
end

#modified_at

def modified_at() -> Time, nil

The date when this dataset or any of its tables was last modified.

Returns

• (Time, nil) — The last modified time, or nil if not present or the object is a reference (see #reference?).

#name

def name() -> String, nil

A descriptive name for the dataset.

Returns

• (String, nil) — The friendly name, or nil if the object is a reference (see #reference?).

#name=

def name=(new_name)

Updates the descriptive name for the dataset.

If the dataset is not a full resource representation (see #resource_full?), the full representation will be retrieved before the update to comply with ETag-based optimistic concurrency control.

Parameter

• new_name (String) — The new friendly name, or nil if the object is a reference (see #reference?).

#project_id

def project_id() -> String

The ID of the project containing this dataset.

Returns

• (String) — The project ID.

#query

def query(query, params: nil, types: nil, external: nil, max: nil, cache: true, standard_sql: nil, legacy_sql: nil, session_id: nil, &block) { |job| ... } -> Google::Cloud::Bigquery::Data

Queries data and waits for the results. In this method, a QueryJob is created and its results are saved to a temporary table, then read from the table. Timeouts and transient errors are generally handled as needed to complete the query. When used for executing DDL/DML statements, this method does not return row data.

Sets the current dataset as the default dataset in the query. Useful for using unqualified table names.

The geographic location for the job ("US", "EU", etc.) can be set via QueryJob::Updater#location= in a block passed to this method. If the dataset is a full resource representation (see #resource_full?), the location of the job will be automatically set to the location of the dataset.

Parameters

• query (String) — A query string, following the BigQuery query syntax, of the query to execute. Example: "SELECT count(f1) FROM [myProjectId:myDatasetId.myTableId]".
• params (Array, Hash) (defaults to: nil) — Standard SQL only. Used to pass query arguments when the query string contains either positional (?) or named (@myparam) query parameters. If value passed is an array ["foo"], the query must use positional query parameters. If value passed is a hash { myparam: "foo" }, the query must use named query parameters. When set, legacy_sql will automatically be set to false and standard_sql to true.

  BigQuery types are converted from Ruby types as follows:

  | BigQuery | Ruby | Notes | |--------------|--------------------------------------|----------------------------------------------------| | BOOL | true/false | | | INT64 | Integer | | | FLOAT64 | Float | | | NUMERIC | BigDecimal | BigDecimal values will be rounded to scale 9. | | BIGNUMERIC | BigDecimal | NOT AUTOMATIC: Must be mapped using types, below.| | STRING | String | | | DATETIME | DateTime | DATETIME does not support time zone. | | DATE | Date | | | GEOGRAPHY | String (WKT or GeoJSON) | NOT AUTOMATIC: Must be mapped using types, below.| | TIMESTAMP | Time | | | TIME | Google::Cloud::BigQuery::Time | | | BYTES | File, IO, StringIO, or similar | | | ARRAY | Array | Nested arrays, nil values are not supported. | | STRUCT | Hash | Hash keys may be strings or symbols. |

  See Data Types for an overview of each BigQuery data type, including allowed values. For the GEOGRAPHY type, see Working with BigQuery GIS data.

• types (Array, Hash) (defaults to: nil) — Standard SQL only. Types of the SQL parameters in params. It is not always possible to infer the right SQL type from a value in params. In these cases, types must be used to specify the SQL type for these values.

  Arguments must match the value type passed to params. This must be an Array when the query uses positional query parameters. This must be an Hash when the query uses named query parameters. The values should be BigQuery type codes from the following list:

  • :BOOL
  • :INT64
  • :FLOAT64
  • :NUMERIC
  • :BIGNUMERIC
  • :STRING
  • :DATETIME
  • :DATE
  • :GEOGRAPHY
  • :TIMESTAMP
  • :TIME
  • :BYTES
  • Array - Lists are specified by providing the type code in an array. For example, an array of integers are specified as [:INT64].
  • Hash - Types for STRUCT values (Hash objects) are specified using a Hash object, where the keys match the params hash, and the values are the types value that matches the data.

  Types are optional.

• external (Hash<String|Symbol, External::DataSource>) (defaults to: nil) — A Hash that represents the mapping of the external tables to the table names used in the SQL query. The hash keys are the table names, and the hash values are the external table objects. See #query.
• max (Integer) (defaults to: nil) — The maximum number of rows of data to return per page of results. Setting this flag to a small value such as 1000 and then paging through results might improve reliability when the query result set is large. In addition to this limit, responses are also limited to 10 MB. By default, there is no maximum row count, and only the byte limit applies.
• cache (Boolean) (defaults to: true) — Whether to look for the result in the query cache. The query cache is a best-effort cache that will be flushed whenever tables in the query are modified. The default value is true. For more information, see query caching.
• standard_sql (Boolean) (defaults to: nil) — Specifies whether to use BigQuery's standard SQL dialect for this query. If set to true, the query will use standard SQL rather than the legacy SQL dialect. When set to true, the values of large_results and flatten are ignored; the query will be run as if large_results is true and flatten is false. Optional. The default value is true.
• legacy_sql (Boolean) (defaults to: nil) — Specifies whether to use BigQuery's legacy SQL dialect for this query. If set to false, the query will use BigQuery's standard SQL When set to false, the values of large_results and flatten are ignored; the query will be run as if large_results is true and flatten is false. Optional. The default value is false.
• session_id (String) (defaults to: nil) — The ID of an existing session. See the create_session param in #query_job and Job#session_id.

Yields

• (job) — a job configuration object

Yield Parameter

• job (Google::Cloud::Bigquery::QueryJob::Updater) — a job configuration object for setting additional options for the query.

Returns

• (Google::Cloud::Bigquery::Data) — A new data object.

Examples

Query using standard SQL:

require "google/cloud/bigquery"

bigquery = Google::Cloud::Bigquery.new
dataset = bigquery.dataset "my_dataset"

data = dataset.query "SELECT name FROM my_table"

# Iterate over the first page of results
data.each do |row|
  puts row[:name]
end
# Retrieve the next page of results
data = data.next if data.next?

Query using legacy SQL:

require "google/cloud/bigquery"

bigquery = Google::Cloud::Bigquery.new
dataset = bigquery.dataset "my_dataset"

data = dataset.query "SELECT name FROM my_table",
                     legacy_sql: true

# Iterate over the first page of results
data.each do |row|
  puts row[:name]
end
# Retrieve the next page of results
data = data.next if data.next?

Query using positional query parameters:

require "google/cloud/bigquery"

bigquery = Google::Cloud::Bigquery.new
dataset = bigquery.dataset "my_dataset"

data = dataset.query "SELECT name FROM my_table WHERE id = ?",
                     params: [1]

# Iterate over the first page of results
data.each do |row|
  puts row[:name]
end
# Retrieve the next page of results
data = data.next if data.next?

Query using named query parameters:

require "google/cloud/bigquery"

bigquery = Google::Cloud::Bigquery.new
dataset = bigquery.dataset "my_dataset"

data = dataset.query "SELECT name FROM my_table WHERE id = @id",
                     params: { id: 1 }

# Iterate over the first page of results
data.each do |row|
  puts row[:name]
end
# Retrieve the next page of results
data = data.next if data.next?

Query using named query parameters with types:

require "google/cloud/bigquery"

bigquery = Google::Cloud::Bigquery.new
dataset = bigquery.dataset "my_dataset"

data = dataset.query "SELECT name FROM my_table WHERE id IN UNNEST(@ids)",
                     params: { ids: [] },
                     types: { ids: [:INT64] }

# Iterate over the first page of results
data.each do |row|
  puts row[:name]
end
# Retrieve the next page of results
data = data.next if data.next?

Execute a DDL statement:

require "google/cloud/bigquery"

bigquery = Google::Cloud::Bigquery.new
dataset = bigquery.dataset "my_dataset"

data = dataset.query "CREATE TABLE my_table (x INT64)"

table_ref = data.ddl_target_table # Or ddl_target_routine for CREATE/DROP FUNCTION/PROCEDURE

Execute a DML statement:

require "google/cloud/bigquery"

bigquery = Google::Cloud::Bigquery.new
dataset = bigquery.dataset "my_dataset"

data = dataset.query "UPDATE my_table SET x = x + 1 WHERE x IS NOT NULL"

puts data.num_dml_affected_rows

Run query in a session:

require "google/cloud/bigquery"

bigquery = Google::Cloud::Bigquery.new
dataset = bigquery.dataset "my_dataset"

job = dataset.query_job "CREATE TEMPORARY TABLE temptable AS SELECT 17 as foo", create_session: true

job.wait_until_done!

session_id = job.session_id
data = dataset.query "SELECT * FROM temptable", session_id: session_id

Query using external data source, set destination:

require "google/cloud/bigquery"

bigquery = Google::Cloud::Bigquery.new
dataset = bigquery.dataset "my_dataset"

csv_url = "gs://bucket/path/to/data.csv"
csv_table = dataset.external csv_url do |csv|
  csv.autodetect = true
  csv.skip_leading_rows = 1
end

data = dataset.query "SELECT * FROM my_ext_table" do |query|
  query.external = { my_ext_table: csv_table }
  query.table = dataset.table "my_table", skip_lookup: true
end

# Iterate over the first page of results
data.each do |row|
  puts row[:name]
end
# Retrieve the next page of results
data = data.next if data.next?

#query_job

def query_job(query, params: nil, types: nil, external: nil, priority: "INTERACTIVE", cache: true, table: nil, create: nil, write: nil, dryrun: nil, standard_sql: nil, legacy_sql: nil, large_results: nil, flatten: nil, maximum_billing_tier: nil, maximum_bytes_billed: nil, job_id: nil, prefix: nil, labels: nil, udfs: nil, create_session: nil, session_id: nil) { |job| ... } -> Google::Cloud::Bigquery::QueryJob

Queries data by creating a query job.

Sets the current dataset as the default dataset in the query. Useful for using unqualified table names.

The geographic location for the job ("US", "EU", etc.) can be set via QueryJob::Updater#location= in a block passed to this method. If the dataset is a full resource representation (see #resource_full?), the location of the job will be automatically set to the location of the dataset.

Parameters

• query (String) — A query string, following the BigQuery query syntax, of the query to execute. Example: "SELECT count(f1) FROM [myProjectId:myDatasetId.myTableId]".
• params (Array, Hash) (defaults to: nil) — Standard SQL only. Used to pass query arguments when the query string contains either positional (?) or named (@myparam) query parameters. If value passed is an array ["foo"], the query must use positional query parameters. If value passed is a hash { myparam: "foo" }, the query must use named query parameters. When set, legacy_sql will automatically be set to false and standard_sql to true.

  BigQuery types are converted from Ruby types as follows:

  | BigQuery | Ruby | Notes | |--------------|--------------------------------------|----------------------------------------------------| | BOOL | true/false | | | INT64 | Integer | | | FLOAT64 | Float | | | NUMERIC | BigDecimal | BigDecimal values will be rounded to scale 9. | | BIGNUMERIC | BigDecimal | NOT AUTOMATIC: Must be mapped using types, below.| | STRING | String | | | DATETIME | DateTime | DATETIME does not support time zone. | | DATE | Date | | | GEOGRAPHY | String (WKT or GeoJSON) | NOT AUTOMATIC: Must be mapped using types, below.| | TIMESTAMP | Time | | | TIME | Google::Cloud::BigQuery::Time | | | BYTES | File, IO, StringIO, or similar | | | ARRAY | Array | Nested arrays, nil values are not supported. | | STRUCT | Hash | Hash keys may be strings or symbols. |

  See Data Types for an overview of each BigQuery data type, including allowed values. For the GEOGRAPHY type, see Working with BigQuery GIS data.

• types (Array, Hash) (defaults to: nil) — Standard SQL only. Types of the SQL parameters in params. It is not always possible to infer the right SQL type from a value in params. In these cases, types must be used to specify the SQL type for these values.

  Arguments must match the value type passed to params. This must be an Array when the query uses positional query parameters. This must be an Hash when the query uses named query parameters. The values should be BigQuery type codes from the following list:

  • :BOOL
  • :INT64
  • :FLOAT64
  • :NUMERIC
  • :BIGNUMERIC
  • :STRING
  • :DATETIME
  • :DATE
  • :GEOGRAPHY
  • :TIMESTAMP
  • :TIME
  • :BYTES
  • Array - Lists are specified by providing the type code in an array. For example, an array of integers are specified as [:INT64].
  • Hash - Types for STRUCT values (Hash objects) are specified using a Hash object, where the keys match the params hash, and the values are the types value that matches the data.

  Types are optional.

• external (Hash<String|Symbol, External::DataSource>) (defaults to: nil) — A Hash that represents the mapping of the external tables to the table names used in the SQL query. The hash keys are the table names, and the hash values are the external table objects. See #query.
• priority (String) (defaults to: "INTERACTIVE") — Specifies a priority for the query. Possible values include INTERACTIVE and BATCH. The default value is INTERACTIVE.
• cache (Boolean) (defaults to: true) — Whether to look for the result in the query cache. The query cache is a best-effort cache that will be flushed whenever tables in the query are modified. The default value is true. For more information, see query caching.
• table (Table) (defaults to: nil) — The destination table where the query results should be stored. If not present, a new table will be created to store the results.
• create (String) (defaults to: nil) —

  Specifies whether the job is allowed to create new tables. The default value is needed.

  The following values are supported:

  • needed - Create the table if it does not exist.
  • never - The table must already exist. A 'notFound' error is raised if the table does not exist.
• write (String) (defaults to: nil) —

  Specifies the action that occurs if the destination table already exists. The default value is empty.

  The following values are supported:

  • truncate - BigQuery overwrites the table data.
  • append - BigQuery appends the data to the table.
  • empty - A 'duplicate' error is returned in the job result if the table exists and contains data.
• dryrun (Boolean) (defaults to: nil) — If set to true, BigQuery doesn't run the job. Instead, if the query is valid, BigQuery returns statistics about the job such as how many bytes would be processed. If the query is invalid, an error returns. The default value is false.
• standard_sql (Boolean) (defaults to: nil) — Specifies whether to use BigQuery's standard SQL dialect for this query. If set to true, the query will use standard SQL rather than the legacy SQL dialect. Optional. The default value is true.
• legacy_sql (Boolean) (defaults to: nil) — Specifies whether to use BigQuery's legacy SQL dialect for this query. If set to false, the query will use BigQuery's standard SQL dialect. Optional. The default value is false.
• large_results (Boolean) (defaults to: nil) — This option is specific to Legacy SQL. If true, allows the query to produce arbitrarily large result tables at a slight cost in performance. Requires table parameter to be set.
• flatten (Boolean) (defaults to: nil) — This option is specific to Legacy SQL. Flattens all nested and repeated fields in the query results. The default value is true. large_results parameter must be true if this is set to false.
• maximum_billing_tier (Integer) (defaults to: nil) — Limits the billing tier for this job. Queries that have resource usage beyond this tier will fail (without incurring a charge). WARNING: The billed byte amount can be multiplied by an amount up to this number! Most users should not need to alter this setting, and we recommend that you avoid introducing new uses of it. Deprecated.
• maximum_bytes_billed (Integer) (defaults to: nil) — Limits the bytes billed for this job. Queries that will have bytes billed beyond this limit will fail (without incurring a charge). Optional. If unspecified, this will be set to your project default.
• job_id (String) (defaults to: nil) — A user-defined ID for the query job. The ID must contain only letters ([A-Za-z]), numbers ([0-9]), underscores (_), or dashes (-). The maximum length is 1,024 characters. If job_id is provided, then prefix will not be used.

  See Generating a job ID.

• prefix (String) (defaults to: nil) — A string, usually human-readable, that will be prepended to a generated value to produce a unique job ID. For example, the prefix daily_import_job_ can be given to generate a job ID such as daily_import_job_12vEDtMQ0mbp1Mo5Z7mzAFQJZazh. The prefix must contain only letters ([A-Za-z]), numbers ([0-9]), underscores (_), or dashes (-). The maximum length of the entire ID is 1,024 characters. If job_id is provided, then prefix will not be used.
• labels (Hash) (defaults to: nil) —

  A hash of user-provided labels associated with the job. You can use these to organize and group your jobs.

  The labels applied to a resource must meet the following requirements:

  • Each resource can have multiple labels, up to a maximum of 64.
  • Each label must be a key-value pair.
  • Keys have a minimum length of 1 character and a maximum length of 63 characters, and cannot be empty. Values can be empty, and have a maximum length of 63 characters.
  • Keys and values can contain only lowercase letters, numeric characters, underscores, and dashes. All characters must use UTF-8 encoding, and international characters are allowed.
  • The key portion of a label must be unique. However, you can use the same key with multiple resources.
  • Keys must start with a lowercase letter or international character.
• udfs (Array<String>, String) (defaults to: nil) — User-defined function resources used in a legacy SQL query. May be either a code resource to load from a Google Cloud Storage URI (gs://bucket/path), or an inline resource that contains code for a user-defined function (UDF). Providing an inline code resource is equivalent to providing a URI for a file containing the same code.

  This parameter is used for defining User Defined Function (UDF) resources only when using legacy SQL. Users of standard SQL should leverage either DDL (e.g. CREATE [TEMPORARY] FUNCTION ...) or the Routines API to define UDF resources.

  For additional information on migrating, see: Migrating to standard SQL - Differences in user-defined JavaScript functions

• create_session (Boolean) (defaults to: nil) — If true, creates a new session, where the session ID will be a server generated random id. If false, runs query with an existing session ID when one is provided in the session_id param, otherwise runs query in non-session mode. See Job#session_id. The default value is false.
• session_id (String) (defaults to: nil) — The ID of an existing session. See also the create_session param and Job#session_id.

Yields

• (job) — a job configuration object

Yield Parameter

• job (Google::Cloud::Bigquery::QueryJob::Updater) — a job configuration object for setting additional options for the query.

Returns

• (Google::Cloud::Bigquery::QueryJob) — A new query job object.

Examples

Query using standard SQL:

require "google/cloud/bigquery"

bigquery = Google::Cloud::Bigquery.new
dataset = bigquery.dataset "my_dataset"

job = dataset.query_job "SELECT name FROM my_table"

job.wait_until_done!
if !job.failed?
  job.data.each do |row|
    puts row[:name]
  end
end

Query using legacy SQL:

require "google/cloud/bigquery"

bigquery = Google::Cloud::Bigquery.new
dataset = bigquery.dataset "my_dataset"

job = dataset.query_job "SELECT name FROM my_table",
                        legacy_sql: true

job.wait_until_done!
if !job.failed?
  job.data.each do |row|
    puts row[:name]
  end
end

Query using positional query parameters:

require "google/cloud/bigquery"

bigquery = Google::Cloud::Bigquery.new
dataset = bigquery.dataset "my_dataset"

job = dataset.query_job "SELECT name FROM my_table WHERE id = ?",
                        params: [1]

job.wait_until_done!
if !job.failed?
  job.data.each do |row|
    puts row[:name]
  end
end

Query using named query parameters:

require "google/cloud/bigquery"

bigquery = Google::Cloud::Bigquery.new
dataset = bigquery.dataset "my_dataset"

job = dataset.query_job "SELECT name FROM my_table WHERE id = @id",
                        params: { id: 1 }

job.wait_until_done!
if !job.failed?
  job.data.each do |row|
    puts row[:name]
  end
end

Query using named query parameters with types:

require "google/cloud/bigquery"

bigquery = Google::Cloud::Bigquery.new
dataset = bigquery.dataset "my_dataset"

job = dataset.query_job "SELECT name FROM my_table WHERE id IN UNNEST(@ids)",
                        params: { ids: [] },
                        types: { ids: [:INT64] }

job.wait_until_done!
if !job.failed?
  job.data.each do |row|
    puts row[:name]
  end
end

Execute a DDL statement:

require "google/cloud/bigquery"

bigquery = Google::Cloud::Bigquery.new
dataset = bigquery.dataset "my_dataset"

job = dataset.query_job "CREATE TABLE my_table (x INT64)"

job.wait_until_done!
if !job.failed?
  table_ref = job.ddl_target_table # Or ddl_target_routine for CREATE/DROP FUNCTION/PROCEDURE
end

Execute a DML statement:

require "google/cloud/bigquery"

bigquery = Google::Cloud::Bigquery.new
dataset = bigquery.dataset "my_dataset"

job = dataset.query_job "UPDATE my_table SET x = x + 1 WHERE x IS NOT NULL"

job.wait_until_done!
if !job.failed?
  puts job.num_dml_affected_rows
end

Run query in a session:

require "google/cloud/bigquery"

bigquery = Google::Cloud::Bigquery.new
dataset = bigquery.dataset "my_dataset"

job = dataset.query_job "CREATE TEMPORARY TABLE temptable AS SELECT 17 as foo", create_session: true

job.wait_until_done!

session_id = job.session_id
data = dataset.query "SELECT * FROM temptable", session_id: session_id

Query using external data source, set destination:

require "google/cloud/bigquery"

bigquery = Google::Cloud::Bigquery.new
dataset = bigquery.dataset "my_dataset"

csv_url = "gs://bucket/path/to/data.csv"
csv_table = dataset.external csv_url do |csv|
  csv.autodetect = true
  csv.skip_leading_rows = 1
end

job = dataset.query_job "SELECT * FROM my_ext_table" do |query|
  query.external = { my_ext_table: csv_table }
  query.table = dataset.table "my_table", skip_lookup: true
end

job.wait_until_done!
if !job.failed?
  job.data.each do |row|
    puts row[:name]
  end
end

#reference?

def reference?() -> Boolean

Whether the dataset was created without retrieving the resource representation from the BigQuery service.

Returns

• (Boolean) — true when the dataset is just a local reference object, false otherwise.

Example

require "google/cloud/bigquery"

bigquery = Google::Cloud::Bigquery.new

dataset = bigquery.dataset "my_dataset", skip_lookup: true

dataset.reference? # true
dataset.reload!
dataset.reference? # false

#refresh!

def refresh!() -> Google::Cloud::Bigquery::Dataset

Alias Of: #reload!

Reloads the dataset with current data from the BigQuery service.

Returns

• (Google::Cloud::Bigquery::Dataset) — Returns the reloaded dataset.

Example

Skip retrieving the dataset from the service, then load it:

require "google/cloud/bigquery"

bigquery = Google::Cloud::Bigquery.new

dataset = bigquery.dataset "my_dataset", skip_lookup: true
dataset.reload!

#reload!

def reload!() -> Google::Cloud::Bigquery::Dataset

Aliases

• #refresh!

Reloads the dataset with current data from the BigQuery service.

Returns

• (Google::Cloud::Bigquery::Dataset) — Returns the reloaded dataset.

Example

Skip retrieving the dataset from the service, then load it:

require "google/cloud/bigquery"

bigquery = Google::Cloud::Bigquery.new

dataset = bigquery.dataset "my_dataset", skip_lookup: true
dataset.reload!

#resource?

def resource?() -> Boolean

Whether the dataset was created with a resource representation from the BigQuery service.

Returns

• (Boolean) — true when the dataset was created with a resource representation, false otherwise.

Example

require "google/cloud/bigquery"

bigquery = Google::Cloud::Bigquery.new

dataset = bigquery.dataset "my_dataset", skip_lookup: true

dataset.resource? # false
dataset.reload!
dataset.resource? # true

#resource_full?

def resource_full?() -> Boolean

Whether the dataset was created with a full resource representation from the BigQuery service.

Returns

• (Boolean) — true when the dataset was created with a full resource representation, false otherwise.

Example

require "google/cloud/bigquery"

bigquery = Google::Cloud::Bigquery.new

dataset = bigquery.dataset "my_dataset"

dataset.resource_full? # true

#resource_partial?

def resource_partial?() -> Boolean

Whether the dataset was created with a partial resource representation from the BigQuery service by retrieval through Project#datasets. See Datasets: list response for the contents of the partial representation. Accessing any attribute outside of the partial representation will result in loading the full representation.

Returns

• (Boolean) — true when the dataset was created with a partial resource representation, false otherwise.

Example

require "google/cloud/bigquery"

bigquery = Google::Cloud::Bigquery.new

dataset = bigquery.datasets.first

dataset.resource_partial? # true
dataset.description # Loads the full resource.
dataset.resource_partial? # false

#routine

def routine(routine_id, skip_lookup: nil) -> Google::Cloud::Bigquery::Routine, nil

Retrieves an existing routine by ID.

Parameters

• routine_id (String) — The ID of a routine.
• skip_lookup (Boolean) (defaults to: nil) — Optionally create just a local reference object without verifying that the resource exists on the BigQuery service. Calls made on this object will raise errors if the resource does not exist. Default is false. Optional.

Returns

• (Google::Cloud::Bigquery::Routine, nil) — Returns nil if the routine does not exist.

Examples

require "google/cloud/bigquery"

bigquery = Google::Cloud::Bigquery.new
dataset = bigquery.dataset "my_dataset"

routine = dataset.routine "my_routine"
puts routine.routine_id

Avoid retrieving the routine resource with skip_lookup:

require "google/cloud/bigquery"

bigquery = Google::Cloud::Bigquery.new

dataset = bigquery.dataset "my_dataset"

routine = dataset.routine "my_routine", skip_lookup: true

#routines

def routines(token: nil, max: nil, filter: nil) -> Array<Google::Cloud::Bigquery::Routine>

Retrieves the list of routines belonging to the dataset.

Parameters

• token (String) (defaults to: nil) — A previously-returned page token representing part of the larger set of results to view.
• max (Integer) (defaults to: nil) — Maximum number of routines to return.
• filter (String) (defaults to: nil) — If set, then only the routines matching this filter are returned. The current supported form is routineType:, with a Routine#routine_type enum value. Example: routineType:SCALAR_FUNCTION.

Returns

• (Array<Google::Cloud::Bigquery::Routine>) — An array of routines (See Routine::List)

Examples

require "google/cloud/bigquery"

bigquery = Google::Cloud::Bigquery.new
dataset = bigquery.dataset "my_dataset"

routines = dataset.routines
routines.each do |routine|
  puts routine.routine_id
end

Retrieve all routines: (See Routine::List#all)

require "google/cloud/bigquery"

bigquery = Google::Cloud::Bigquery.new
dataset = bigquery.dataset "my_dataset"

routines = dataset.routines
routines.all do |routine|
  puts routine.routine_id
end

#table

def table(table_id, skip_lookup: nil, view: nil) -> Google::Cloud::Bigquery::Table, nil

Retrieves an existing table by ID.

Parameters

• table_id (String) — The ID of a table.
• skip_lookup (Boolean) (defaults to: nil) — Optionally create just a local reference object without verifying that the resource exists on the BigQuery service. Calls made on this object will raise errors if the resource does not exist. Default is false. Optional.
• view (String) (defaults to: nil) — Specifies the view that determines which table information is returned. By default, basic table information and storage statistics (STORAGE_STATS) are returned. Accepted values include :unspecified, :basic, :storage, and :full. For more information, see BigQuery Classes. The default value is the :unspecified view type.

Returns

• (Google::Cloud::Bigquery::Table, nil) — Returns nil if the table does not exist.

Examples

require "google/cloud/bigquery"

bigquery = Google::Cloud::Bigquery.new
dataset = bigquery.dataset "my_dataset"

table = dataset.table "my_table"
puts table.name

Avoid retrieving the table resource with skip_lookup:

require "google/cloud/bigquery"

bigquery = Google::Cloud::Bigquery.new

dataset = bigquery.dataset "my_dataset"

table = dataset.table "my_table", skip_lookup: true

Avoid retrieving transient stats of the table with view:

require "google/cloud/bigquery"

bigquery = Google::Cloud::Bigquery.new

dataset = bigquery.dataset "my_dataset"

table = dataset.table "my_table", view: "basic"

#tables

def tables(token: nil, max: nil) -> Array<Google::Cloud::Bigquery::Table>

Retrieves the list of tables belonging to the dataset.

Parameters

• token (String) (defaults to: nil) — A previously-returned page token representing part of the larger set of results to view.
• max (Integer) (defaults to: nil) — Maximum number of tables to return.

Returns

• (Array<Google::Cloud::Bigquery::Table>) — An array of tables (See Table::List)

Examples

require "google/cloud/bigquery"

bigquery = Google::Cloud::Bigquery.new
dataset = bigquery.dataset "my_dataset"

tables = dataset.tables
tables.each do |table|
  puts table.name
end

Retrieve all tables: (See Table::List#all)

require "google/cloud/bigquery"

bigquery = Google::Cloud::Bigquery.new
dataset = bigquery.dataset "my_dataset"

tables = dataset.tables
tables.all do |table|
  puts table.name
end

#tags

def tags() -> Google::Cloud::Bigquery::Dataset::Tag

Retrieves the tags associated with this dataset. Tag keys are globally unique, and managed via the resource manager API.

for more information.

Returns

• (Google::Cloud::Bigquery::Dataset::Tag) — The list of tags.