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routine.rb
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# Copyright 2020 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# require "google/cloud/errors"
require "google/cloud/bigquery/convert"
require "google/cloud/bigquery/service"
require "google/cloud/bigquery/routine/list"
require "google/cloud/bigquery/argument"
module Google
module Cloud
module Bigquery
##
# # Routine
#
# A user-defined function or a stored procedure.
#
# @example Creating a new routine:
# 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
#
# @example Retrieving and updating an existing routine:
# require "google/cloud/bigquery"
#
# bigquery = Google::Cloud::Bigquery.new
# dataset = bigquery.dataset "my_dataset"
# routine = dataset.routine "my_routine"
#
# routine.update do |r|
# r.body = "x * 4"
# r.description = "My new routine description"
# end
#
class Routine
##
# @private The Service object.
attr_accessor :service
##
# @private The Google API Client object.
attr_accessor :gapi
##
# @private A Google API Client Dataset Reference object.
attr_reader :reference
##
# @private Creates an empty Routine object.
def initialize
@service = nil
@gapi = nil
@reference = nil
end
##
# A unique ID for this routine, without the project name.
#
# @return [String] The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum
# length is 256 characters.
#
# @!group Attributes
#
def routine_id
return reference.routine_id if reference?
@gapi.routine_reference.routine_id
end
##
# The ID of the dataset containing this routine.
#
# @return [String] The dataset ID.
#
# @!group Attributes
#
def dataset_id
return reference.dataset_id if reference?
@gapi.routine_reference.dataset_id
end
##
# The ID of the project containing this routine.
#
# @return [String] The project ID.
#
# @!group Attributes
#
def project_id
return reference.project_id if reference?
@gapi.routine_reference.project_id
end
##
# @private The gapi fragment containing the Project ID, Dataset ID, and Routine ID.
#
# @return [Google::Apis::BigqueryV2::RoutineReference]
#
def routine_ref
reference? ? reference : @gapi.routine_reference
end
##
# The ETag hash of the routine.
#
# @return [String] The ETag hash.
#
# @example
# require "google/cloud/bigquery"
#
# bigquery = Google::Cloud::Bigquery.new
# dataset = bigquery.dataset "my_dataset"
# routine = dataset.routine "my_routine"
#
# routine.etag # "etag123456789"
#
# @!group Attributes
#
def etag
return nil if reference?
@gapi.etag
end
##
# The type of routine. Required.
#
# * `SCALAR_FUNCTION` - Non-builtin permanent scalar function.
# * `PROCEDURE` - Stored procedure.
#
# @return [String] The type of routine.
#
# @!group Attributes
#
def routine_type
return nil if reference?
@gapi.routine_type
end
##
# Updates the type of routine. Required.
#
# * `SCALAR_FUNCTION` - Non-builtin permanent scalar function.
# * `PROCEDURE` - Stored procedure.
#
# @param [String] new_routine_type The new type of the routine.
#
# @!group Attributes
#
def routine_type= new_routine_type
ensure_full_data!
@gapi.routine_type = new_routine_type
update_gapi!
end
##
# Checks if the value of {#routine_type} is `PROCEDURE`. The default is `false`.
#
# @return [Boolean] `true` when `PROCEDURE`, `false` otherwise.
#
# @!group Attributes
#
def procedure?
@gapi.routine_type == "PROCEDURE"
end
##
# Checks if the value of {#routine_type} is `SCALAR_FUNCTION`. The default is `true`.
#
# @return [Boolean] `true` when `SCALAR_FUNCTION`, `false` otherwise.
#
# @!group Attributes
#
def scalar_function?
@gapi.routine_type == "SCALAR_FUNCTION"
end
##
# The time when this routine was created.
#
# @return [Time, nil] The creation time.
#
# @!group Attributes
#
def created_at
return nil if reference?
Convert.millis_to_time @gapi.creation_time
end
##
# The time when this routine was last modified.
#
# @return [Time, nil] The last modified time.
#
# @!group Attributes
#
def modified_at
return nil if reference?
Convert.millis_to_time @gapi.last_modified_time
end
##
# The programming language of routine. Optional. Defaults to "SQL".
#
# * `SQL` - SQL language.
# * `JAVASCRIPT` - JavaScript language.
#
# @return [String] The language in upper case.
#
# @!group Attributes
#
def language
return nil if reference?
@gapi.language
end
##
# Updates the programming language of routine. Optional. Defaults to "SQL".
#
# * `SQL` - SQL language.
# * `JAVASCRIPT` - JavaScript language.
#
# @param [String] new_language The new language in upper case.
#
# @!group Attributes
#
def language= new_language
ensure_full_data!
@gapi.language = new_language
update_gapi!
end
##
# Checks if the value of {#language} is `JAVASCRIPT`. The default is `false`.
#
# @return [Boolean] `true` when `JAVASCRIPT`, `false` otherwise.
#
# @!group Attributes
#
def javascript?
@gapi.language == "JAVASCRIPT"
end
##
# Checks if the value of {#language} is `SQL`. The default is `true`.
#
# @return [Boolean] `true` when `SQL` or `nil`, `false` otherwise.
#
# @!group Attributes
#
def sql?
return true if @gapi.language.nil?
@gapi.language == "SQL"
end
##
# The input/output arguments of the routine. Optional.
#
# @return [Array<Argument>] An array of argument objects.
#
# @example
# require "google/cloud/bigquery"
#
# bigquery = Google::Cloud::Bigquery.new
# dataset = bigquery.dataset "my_dataset"
# routine = dataset.routine "my_routine"
#
# puts "#{routine.routine_id} arguments:"
# routine.arguments.each do |arguments|
# puts "* #{arguments.name}"
# end
#
# @!group Attributes
#
def arguments
return nil if reference?
ensure_full_data!
# always return frozen arguments
Array(@gapi.arguments).map { |a| Argument.from_gapi a }.freeze
end
##
# Updates the input/output arguments of the routine. Optional.
#
# @param [Array<Argument>] new_arguments The new arguments.
#
# @example
# require "google/cloud/bigquery"
#
# bigquery = Google::Cloud::Bigquery.new
# dataset = bigquery.dataset "my_dataset"
# routine = dataset.routine "my_routine"
#
# routine.arguments = [
# Google::Cloud::Bigquery::Argument.new(name: "x", data_type: "INT64")
# ]
#
# @!group Attributes
#
def arguments= new_arguments
ensure_full_data!
@gapi.update! arguments: new_arguments.map(&:to_gapi)
update_gapi!
end
##
# The return type of the routine. Optional if the routine is a SQL function ({#sql?}); required otherwise.
#
# If absent, the return type is inferred from {#body} at query time in each query that references this routine.
# If present, then the evaluated result will be cast to the specified returned type at query time.
#
# For example, for the functions created with the following statements:
#
# * `CREATE FUNCTION Add(x FLOAT64, y FLOAT64) RETURNS FLOAT64 AS (x + y);`
# * `CREATE FUNCTION Increment(x FLOAT64) AS (Add(x, 1));`
# * `CREATE FUNCTION Decrement(x FLOAT64) RETURNS FLOAT64 AS (Add(x, -1));`
#
# The returnType is `{typeKind: "FLOAT64"}` for Add and Decrement, and is absent for Increment (inferred as
# `FLOAT64` at query time).
#
# Suppose the function Add is replaced by `CREATE OR REPLACE FUNCTION Add(x INT64, y INT64) AS (x + y);`
#
# Then the inferred return type of Increment is automatically changed to `INT64` at query time, while the return
# type of Decrement remains `FLOAT64`.
#
# @return [Google::Cloud::Bigquery::StandardSql::DataType]
#
# @example
# require "google/cloud/bigquery"
#
# bigquery = Google::Cloud::Bigquery.new
# dataset = bigquery.dataset "my_dataset"
# routine = dataset.routine "my_routine"
#
# routine.return_type.type_kind #=> "INT64"
#
# @!group Attributes
#
def return_type
return nil if reference?
ensure_full_data!
return nil unless @gapi.return_type
StandardSql::DataType.from_gapi @gapi.return_type
end
##
# Updates the return type of the routine. Optional if the routine is a SQL function ({#sql?}); required
# otherwise.
#
# If absent, the return type is inferred from {#body} at query time in each query that references this routine.
# If present, then the evaluated result will be cast to the specified returned type at query time.
#
# For example, for the functions created with the following statements:
#
# * `CREATE FUNCTION Add(x FLOAT64, y FLOAT64) RETURNS FLOAT64 AS (x + y);`
# * `CREATE FUNCTION Increment(x FLOAT64) AS (Add(x, 1));`
# * `CREATE FUNCTION Decrement(x FLOAT64) RETURNS FLOAT64 AS (Add(x, -1));`
#
# The returnType is `{typeKind: "FLOAT64"}` for Add and Decrement, and is absent for Increment (inferred as
# `FLOAT64` at query time).
#
# Suppose the function Add is replaced by `CREATE OR REPLACE FUNCTION Add(x INT64, y INT64) AS (x + y);`
#
# Then the inferred return type of Increment is automatically changed to `INT64` at query time, while the return
# type of Decrement remains `FLOAT64`.
#
# @param [Google::Cloud::Bigquery::StandardSql::DataType, String] new_return_type The new return type for the
# routine.
#
# @example
# require "google/cloud/bigquery"
#
# bigquery = Google::Cloud::Bigquery.new
# dataset = bigquery.dataset "my_dataset"
# routine = dataset.routine "my_routine"
#
# routine.return_type.type_kind #=> "INT64"
# routine.return_type = "STRING"
#
# @!group Attributes
#
def return_type= new_return_type
ensure_full_data!
@gapi.return_type = StandardSql::DataType.gapi_from_string_or_data_type new_return_type
update_gapi!
end
##
# The list of the Google Cloud Storage URIs of imported JavaScript libraries. Optional. Only used if
# {#language} is `JAVASCRIPT` ({#javascript?}).
#
# @return [Array<String>, nil] A frozen array of Google Cloud Storage URIs, e.g.
# `["gs://cloud-samples-data/bigquery/udfs/max-value.js"]`.
#
# @!group Attributes
#
def imported_libraries
return nil if reference?
ensure_full_data!
@gapi.imported_libraries.freeze
end
##
# Updates the list of the Google Cloud Storage URIs of imported JavaScript libraries. Optional. Only used if
# {#language} is `JAVASCRIPT` ({#javascript?}).
#
# @param [Array<String>, nil] new_imported_libraries An array of Google Cloud Storage URIs, e.g.
# `["gs://cloud-samples-data/bigquery/udfs/max-value.js"]`.
#
# @example
# require "google/cloud/bigquery"
#
# bigquery = Google::Cloud::Bigquery.new
# dataset = bigquery.dataset "my_dataset"
# routine = dataset.routine "my_routine"
#
# routine.imported_libraries = [
# "gs://cloud-samples-data/bigquery/udfs/max-value.js"
# ]
#
# @!group Attributes
#
def imported_libraries= new_imported_libraries
ensure_full_data!
@gapi.imported_libraries = new_imported_libraries
update_gapi!
end
##
# The body of the routine. Required.
#
# For functions ({#scalar_function?}), this is the expression in the `AS` clause.
#
# When the routine is a SQL function ({#sql?}), it is the substring inside (but excluding) the parentheses. For
# example, for the function created with the following statement:
# ```
# CREATE FUNCTION JoinLines(x string, y string) as (concat(x, "\n", y))
# ```
# The definition_body is `concat(x, "\n", y)` (`\n` is not replaced with linebreak).
#
# When the routine is a JavaScript function ({#javascript?}), it is the evaluated string in the `AS` clause. For
# example, for the function created with the following statement:
# ```
# CREATE FUNCTION f() RETURNS STRING LANGUAGE js AS 'return "\n";\n'
# ```
# The definition_body is
# ```
# "return \"\n\";\n"`
# ```
# Note that both `\n` are replaced with linebreaks.
#
# @return [String] The body of the routine.
#
# @!group Attributes
#
def body
return nil if reference?
ensure_full_data!
@gapi.definition_body
end
##
# Updates the body of the routine. Required.
#
# For functions ({#scalar_function?}), this is the expression in the `AS` clause.
#
# When the routine is a SQL function ({#sql?}), it is the substring inside (but excluding) the parentheses. For
# example, for the function created with the following statement:
# ```
# CREATE FUNCTION JoinLines(x string, y string) as (concat(x, "\n", y))
# ```
# The definition_body is `concat(x, "\n", y)` (`\n` is not replaced with linebreak).
#
# When the routine is a JavaScript function ({#javascript?}), it is the evaluated string in the `AS` clause. For
# example, for the function created with the following statement:
# ```
# CREATE FUNCTION f() RETURNS STRING LANGUAGE js AS 'return "\n";\n'
# ```
# The definition_body is
# ```
# "return \"\n\";\n"`
# ```
# Note that both `\n` are replaced with linebreaks.
#
# @param [String] new_body The new body of the routine.
#
# @!group Attributes
#
def body= new_body
ensure_full_data!
@gapi.definition_body = new_body
update_gapi!
end
###
# The description of the routine if defined. Optional. [Experimental]
#
# @return [String] The routine description.
#
# @example
# require "google/cloud/bigquery"
#
# bigquery = Google::Cloud::Bigquery.new
# dataset = bigquery.dataset "my_dataset"
# routine = dataset.routine "my_routine"
#
# routine.description #=> "My routine description"
#
# @!group Attributes
#
def description
return nil if reference?
ensure_full_data!
@gapi.description
end
##
# Updates the description of the routine. Optional. [Experimental]
#
# @param [String] new_description The new routine description.
#
# @example
# require "google/cloud/bigquery"
#
# bigquery = Google::Cloud::Bigquery.new
# dataset = bigquery.dataset "my_dataset"
# routine = dataset.routine "my_routine"
#
# routine.description #=> "My routine description"
# routine.description = "My updated routine description"
#
# @!group Attributes
#
def description= new_description
ensure_full_data!
@gapi.description = new_description
update_gapi!
end
##
# Updates the routine with changes made in the given block in a single update request. The following attributes
# may be set: {Updater#routine_type=}, {Updater#language=}, {Updater#arguments=}, {Updater#return_type=},
# {Updater#imported_libraries=}, {Updater#body=}, and {Updater#description=}.
#
# @yield [routine] A block for setting properties on the routine.
# @yieldparam [Google::Cloud::Bigquery::Routine::Updater] routine An updater to set additional properties on the
# routine.
#
# @example
# require "google/cloud/bigquery"
#
# bigquery = Google::Cloud::Bigquery.new
# dataset = bigquery.dataset "my_dataset"
# routine = dataset.routine "my_routine"
#
# routine.update 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 new routine description"
# end
#
# @!group Lifecycle
#
def update
ensure_full_data!
updater = Updater.new @gapi
yield updater
update_gapi! updater.to_gapi if updater.updates?
end
##
# Permanently deletes the routine.
#
# @return [Boolean] Returns `true` if the routine was deleted.
#
# @example
# require "google/cloud/bigquery"
#
# bigquery = Google::Cloud::Bigquery.new
# dataset = bigquery.dataset "my_dataset"
# routine = dataset.routine "my_routine"
#
# routine.delete
#
# @!group Lifecycle
#
def delete
ensure_service!
service.delete_routine dataset_id, routine_id
# Set flag for #exists?
@exists = false
true
end
##
# Reloads the routine with current data from the BigQuery service.
#
# @return [Google::Cloud::Bigquery::Routine] Returns the reloaded
# routine.
#
# @example Skip retrieving the routine from the service, then load it:
# require "google/cloud/bigquery"
#
# bigquery = Google::Cloud::Bigquery.new
#
# dataset = bigquery.dataset "my_dataset"
# routine = dataset.routine "my_routine", skip_lookup: true
#
# routine.reload!
#
# @!group Lifecycle
#
def reload!
ensure_service!
@gapi = service.get_routine dataset_id, routine_id
@reference = nil
@exists = nil
self
end
alias refresh! reload!
##
# Determines whether the routine exists in the BigQuery service. The
# result is cached locally. To refresh state, set `force` to `true`.
#
# @param [Boolean] force 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`.
#
# @return [Boolean] `true` when the routine exists in the BigQuery
# service, `false` otherwise.
#
# @example
# require "google/cloud/bigquery"
#
# bigquery = Google::Cloud::Bigquery.new
#
# dataset = bigquery.dataset "my_dataset"
# routine = dataset.routine "my_routine", skip_lookup: true
# routine.exists? #=> true
#
def exists? force: nil
return resource_exists? if force
# If we have a value, return it
return @exists unless @exists.nil?
# Always true if we have a gapi object
return true if resource?
resource_exists?
end
##
# Whether the routine was created without retrieving the resource
# representation from the BigQuery service.
#
# @return [Boolean] `true` when the routine is just a local reference
# object, `false` otherwise.
#
# @example
# require "google/cloud/bigquery"
#
# bigquery = Google::Cloud::Bigquery.new
#
# dataset = bigquery.dataset "my_dataset"
# routine = dataset.routine "my_routine", skip_lookup: true
#
# routine.reference? #=> true
# routine.reload!
# routine.reference? #=> false
#
def reference?
@gapi.nil?
end
##
# Whether the routine was created with a resource representation from
# the BigQuery service.
#
# @return [Boolean] `true` when the routine was created with a resource
# representation, `false` otherwise.
#
# @example
# require "google/cloud/bigquery"
#
# bigquery = Google::Cloud::Bigquery.new
#
# dataset = bigquery.dataset "my_dataset"
# routine = dataset.routine "my_routine", skip_lookup: true
#
# routine.resource? #=> false
# routine.reload!
# routine.resource? #=> true
#
def resource?
!@gapi.nil?
end
##
# Whether the routine was created with a partial resource representation
# from the BigQuery service by retrieval through {Dataset#routines}.
# See [Models: list
# response](https://cloud.google.com/bigquery/docs/reference/rest/v2/routines/list#response)
# for the contents of the partial representation. Accessing any
# attribute outside of the partial representation will result in loading
# the full representation.
#
# @return [Boolean] `true` when the routine was created with a partial
# resource representation, `false` otherwise.
#
# @example
# require "google/cloud/bigquery"
#
# bigquery = Google::Cloud::Bigquery.new
#
# dataset = bigquery.dataset "my_dataset"
# routine = dataset.routines.first
#
# routine.resource_partial? #=> true
# routine.description # Loads the full resource.
# routine.resource_partial? #=> false
#
def resource_partial?
resource? && !resource_full?
end
##
# Whether the routine was created with a full resource representation
# from the BigQuery service.
#
# @return [Boolean] `true` when the routine was created with a full
# resource representation, `false` otherwise.
#
# @example
# require "google/cloud/bigquery"
#
# bigquery = Google::Cloud::Bigquery.new
#
# dataset = bigquery.dataset "my_dataset"
# routine = dataset.routine "my_routine"
#
# routine.resource_full? #=> true
#
def resource_full?
resource? && !@gapi.definition_body.nil?
end
##
# @private New Routine from a Google API Client object.
def self.from_gapi gapi, service
new.tap do |r|
r.instance_variable_set :@gapi, gapi
r.instance_variable_set :@service, service
end
end
##
# @private New lazy Routine object without making an HTTP request, for use with the skip_lookup option.
def self.new_reference project_id, dataset_id, routine_id, service
raise ArgumentError, "project_id is required" unless project_id
raise ArgumentError, "dataset_id is required" unless dataset_id
raise ArgumentError, "routine_id is required" unless routine_id
raise ArgumentError, "service is required" unless service
new.tap do |r|
reference_gapi = Google::Apis::BigqueryV2::RoutineReference.new(
project_id: project_id,
dataset_id: dataset_id,
routine_id: routine_id
)
r.service = service
r.instance_variable_set :@reference, reference_gapi
end
end
protected
##
# Raise an error unless an active service is available.
def ensure_service!
raise "Must have active connection" unless service
end
##
# Fetch gapi and memoize whether resource exists.
def resource_exists?
reload!
@exists = true
rescue Google::Cloud::NotFoundError
@exists = false
end
##
# Load the complete representation of the routine if it has been
# only partially loaded by a request to the API list method.
def ensure_full_data!
reload! unless resource_full?
end
def update_gapi! update_gapi = nil
update_gapi ||= @gapi
ensure_service!
@gapi = service.update_routine dataset_id, routine_id, update_gapi
self
end
##
# Yielded to a block to accumulate changes. See {Dataset#create_routine} and {Routine#update}.
#
# @example Creating a new routine:
# 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
#
# @example Updating an existing routine:
# require "google/cloud/bigquery"
#
# bigquery = Google::Cloud::Bigquery.new
# dataset = bigquery.dataset "my_dataset"
# routine = dataset.routine "my_routine"
#
# routine.update do |r|
# r.body = "x * 4"
# r.description = "My new routine description"
# end
#
class Updater < Routine
##
# @private Create an Updater object.
def initialize gapi
@original_gapi = gapi
@gapi = gapi.dup
end
##
# Updates the type of routine. Required.
#
# * `SCALAR_FUNCTION` - Non-builtin permanent scalar function.
# * `PROCEDURE` - Stored procedure.
#
# @param [String] new_routine_type The new type of the routine.
#
def routine_type= new_routine_type
@gapi.routine_type = new_routine_type
end
##
# Updates the programming language of routine. Optional. Defaults to "SQL".
#
# * `SQL` - SQL language.
# * `JAVASCRIPT` - JavaScript language.
#
# @param [String] new_language The new language in upper case.
#
def language= new_language
@gapi.language = new_language
end
##
# Updates the input/output arguments of the routine. Optional.
#
# @param [Array<Argument>] new_arguments The new arguments.
#
# @example
# require "google/cloud/bigquery"
#
# bigquery = Google::Cloud::Bigquery.new
# dataset = bigquery.dataset "my_dataset"
# routine = dataset.routine "my_routine"
#
# routine.arguments = [
# Google::Cloud::Bigquery::Argument.new(name: "x", data_type: "INT64")
# ]
#
def arguments= new_arguments
@gapi.arguments = new_arguments.map(&:to_gapi)
end
##
# Updates the return type of the routine. Optional if the routine is a SQL function ({#sql?}); required
# otherwise.
#
# If absent, the return type is inferred from {#body} at query time in each query that references this
# routine. If present, then the evaluated result will be cast to the specified returned type at query time.
#
# For example, for the functions created with the following statements:
#
# * `CREATE FUNCTION Add(x FLOAT64, y FLOAT64) RETURNS FLOAT64 AS (x + y);`
# * `CREATE FUNCTION Increment(x FLOAT64) AS (Add(x, 1));`
# * `CREATE FUNCTION Decrement(x FLOAT64) RETURNS FLOAT64 AS (Add(x, -1));`
#
# The returnType is `{typeKind: "FLOAT64"}` for Add and Decrement, and is absent for Increment (inferred as
# `FLOAT64` at query time).
#
# Suppose the function Add is replaced by `CREATE OR REPLACE FUNCTION Add(x INT64, y INT64) AS (x + y);`
#
# Then the inferred return type of Increment is automatically changed to `INT64` at query time, while the
# return type of Decrement remains `FLOAT64`.
#
# @param [Google::Cloud::Bigquery::StandardSql::DataType, String] new_return_type The new return type for the
# routine.
#
# @example
# require "google/cloud/bigquery"
#
# bigquery = Google::Cloud::Bigquery.new
# dataset = bigquery.dataset "my_dataset"
# routine = dataset.routine "my_routine"
#
# routine.return_type.type_kind #=> "INT64"
# routine.return_type = "STRING"
#
def return_type= new_return_type
@gapi.return_type = StandardSql::DataType.gapi_from_string_or_data_type new_return_type
end
##
# Updates the list of the Google Cloud Storage URIs of imported JavaScript libraries. Optional. Only used if
# {#language} is `JAVASCRIPT` ({#javascript?}).
#
# @param [Array<String>, nil] new_imported_libraries An array of Google Cloud Storage URIs, e.g.
# `["gs://cloud-samples-data/bigquery/udfs/max-value.js"]`.
#
# @example
# require "google/cloud/bigquery"
#
# bigquery = Google::Cloud::Bigquery.new
# dataset = bigquery.dataset "my_dataset"
# routine = dataset.routine "my_routine"
#
# routine.imported_libraries = [
# "gs://cloud-samples-data/bigquery/udfs/max-value.js"
# ]
#
def imported_libraries= new_imported_libraries
@gapi.imported_libraries = new_imported_libraries
end
##
# Updates the body of the routine. Required.
#
# For functions ({#scalar_function?}), this is the expression in the `AS` clause.
#
# When the routine is a SQL function ({#sql?}), it is the substring inside (but excluding) the parentheses.
# For example, for the function created with the following statement:
# ```
# CREATE FUNCTION JoinLines(x string, y string) as (concat(x, "\n", y))
# ```
# The definition_body is `concat(x, "\n", y)` (`\n` is not replaced with linebreak).
#
# When the routine is a JavaScript function ({#javascript?}), it is the evaluated string in the `AS` clause.
# For example, for the function created with the following statement:
# ```
# CREATE FUNCTION f() RETURNS STRING LANGUAGE js AS 'return "\n";\n'
# ```
# The definition_body is
# ```
# "return \"\n\";\n"`
# ```
# Note that both `\n` are replaced with linebreaks.
#