# Copyright 2015 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/service"
require "google/cloud/bigquery/credentials"
require "google/cloud/bigquery/dataset"
require "google/cloud/bigquery/job"
require "google/cloud/bigquery/external"
require "google/cloud/bigquery/project/list"
require "google/cloud/bigquery/time"
require "google/cloud/bigquery/schema"
module Google
module Cloud
module Bigquery
##
# # Project
#
# Projects are top-level containers in Google Cloud Platform. They store
# information about billing and authorized users, and they contain
# BigQuery data. Each project has a friendly name and a unique ID.
#
# Google::Cloud::Bigquery::Project is the main object for interacting with
# Google BigQuery. {Google::Cloud::Bigquery::Dataset} objects are created,
# accessed, and deleted by Google::Cloud::Bigquery::Project.
#
# See {Google::Cloud#bigquery}.
#
# @attr_reader [String, nil] name The descriptive name of the project.
# Can only be present if the project was retrieved with {#projects}.
# @attr_reader [Integer, nil] numeric_id The numeric ID of the project.
# Can only be present if the project was retrieved with {#projects}.
#
# @example
# require "google/cloud/bigquery"
#
# bigquery = Google::Cloud::Bigquery.new
# dataset = bigquery.dataset "my_dataset"
# table = dataset.table "my_table"
#
class Project
##
# @private The Service object.
attr_accessor :service
attr_reader :name
attr_reader :numeric_id
##
# Creates a new Service instance.
#
# See {Google::Cloud.bigquery}
def initialize service
@service = service
end
##
# The universe domain the client is connected to
#
# @return [String]
#
def universe_domain
service.universe_domain
end
##
# The BigQuery project connected to.
#
# @example
# require "google/cloud/bigquery"
#
# bigquery = Google::Cloud::Bigquery.new(
# project_id: "my-project",
# credentials: "/path/to/keyfile.json"
# )
#
# bigquery.project_id #=> "my-project"
#
def project_id
service.project
end
alias project project_id
##
# The email address of the service account for the project used to
# connect to BigQuery. (See also {#project_id}.)
#
# @return [String] The service account email address.
#
def service_account_email
@service_account_email ||= service.project_service_account.email
end
##
# Copies the data from the source table to the destination table using
# an asynchronous method. In this method, a {CopyJob} 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 {#copy} for the synchronous version. Use this method instead of
# {Table#copy_job} to copy from source tables in other projects.
#
# The geographic location for the job ("US", "EU", etc.) can be set via
# {CopyJob::Updater#location=} in a block passed to this method.
#
# @param [String, Table] source_table The source table for the
# copied data. This can be a table object; or a string ID as specified
# by the [Standard SQL Query
# Reference](https://cloud.google.com/bigquery/docs/reference/standard-sql/query-syntax#from-clause)
# (`project-name.dataset_id.table_id`) or the [Legacy SQL Query
# Reference](https://cloud.google.com/bigquery/query-reference#from)
# (`project-name:dataset_id.table_id`).
# @param [String, Table] destination_table The destination table for the
# copied data. This can be a table object; or a string ID as specified
# by the [Standard SQL Query
# Reference](https://cloud.google.com/bigquery/docs/reference/standard-sql/query-syntax#from-clause)
# (`project-name.dataset_id.table_id`) or the [Legacy SQL Query
# Reference](https://cloud.google.com/bigquery/query-reference#from)
# (`project-name:dataset_id.table_id`).
# @param [String] create 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.
# @param [String] write Specifies how to handle data already present in
# the destination table. 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` - An error will be returned if the destination table
# already contains data.
# @param [String] job_id A user-defined ID for the copy 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](https://cloud.google.com/bigquery/docs/managing-jobs#generate-jobid).
# @param [String] prefix 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.
# @param [Hash] labels 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.
# @yield [job] a job configuration object
# @yieldparam [Google::Cloud::Bigquery::CopyJob::Updater] job a job
# configuration object for setting additional options.
#
# @return [Google::Cloud::Bigquery::CopyJob]
#
# @example
# require "google/cloud/bigquery"
#
# bigquery = Google::Cloud::Bigquery.new
# dataset = bigquery.dataset "my_dataset"
# source_table_id = "bigquery-public-data.samples.shakespeare"
# destination_table = dataset.table "my_destination_table"
#
# copy_job = bigquery.copy_job source_table_id, destination_table
#
# copy_job.wait_until_done!
# copy_job.done? #=> true
#
# @!group Data
#
def copy_job source_table, destination_table, create: nil, write: nil, job_id: nil, prefix: nil, labels: nil
ensure_service!
options = { create: create, write: write, labels: labels, job_id: job_id, prefix: prefix }
updater = CopyJob::Updater.from_options(
service,
Service.get_table_ref(source_table, default_ref: project_ref),
Service.get_table_ref(destination_table, default_ref: project_ref),
options
)
yield updater if block_given?
job_gapi = updater.to_gapi
gapi = service.copy_table job_gapi
Job.from_gapi gapi, service
end
##
# Copies the data from the source table to the 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
# {#copy_job} for the asynchronous version. Use this method instead of
# {Table#copy} to copy from source tables in other projects.
#
# The geographic location for the job ("US", "EU", etc.) can be set via
# {CopyJob::Updater#location=} in a block passed to this method.
#
# @param [String, Table] source_table The source table for the
# copied data. This can be a table object; or a string ID as specified
# by the [Standard SQL Query
# Reference](https://cloud.google.com/bigquery/docs/reference/standard-sql/query-syntax#from-clause)
# (`project-name.dataset_id.table_id`) or the [Legacy SQL Query
# Reference](https://cloud.google.com/bigquery/query-reference#from)
# (`project-name:dataset_id.table_id`).
# @param [String, Table] destination_table The destination table for the
# copied data. This can be a table object; or a string ID as specified
# by the [Standard SQL Query
# Reference](https://cloud.google.com/bigquery/docs/reference/standard-sql/query-syntax#from-clause)
# (`project-name.dataset_id.table_id`) or the [Legacy SQL Query
# Reference](https://cloud.google.com/bigquery/query-reference#from)
# (`project-name:dataset_id.table_id`).
# @param [String] create 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.
# @param [String] write Specifies how to handle data already present in
# the destination table. 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` - An error will be returned if the destination table
# already contains data.
# @yield [job] a job configuration object
# @yieldparam [Google::Cloud::Bigquery::CopyJob::Updater] job a job
# configuration object for setting additional options.
#
# @return [Boolean] Returns `true` if the copy operation succeeded.
#
# @example
# require "google/cloud/bigquery"
#
# bigquery = Google::Cloud::Bigquery.new
# dataset = bigquery.dataset "my_dataset"
# destination_table = dataset.table "my_destination_table"
#
# bigquery.copy "bigquery-public-data.samples.shakespeare",
# destination_table
#
# @!group Data
#
def copy source_table, destination_table, create: nil, write: nil, &block
job = copy_job source_table, destination_table, create: create, write: write, &block
job.wait_until_done!
ensure_job_succeeded! job
true
end
##
# Queries data by creating a [query
# job](https://cloud.google.com/bigquery/docs/query-overview#query_jobs).
#
# The geographic location for the job ("US", "EU", etc.) can be set via
# {QueryJob::Updater#location=} in a block passed to this method.
#
# @param [String] query A query string, following the BigQuery [query
# syntax](https://cloud.google.com/bigquery/query-reference), of the
# query to execute. Example: "SELECT count(f1) FROM
# [myProjectId:myDatasetId.myTableId]".
# @param [Array, Hash] params 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.|
# | `JSON` | `String` (Stringified JSON) | String, as JSON does not have a schema to verify. |
# | `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](https://cloud.google.com/bigquery/docs/reference/standard-sql/data-types) for an overview
# of each BigQuery data type, including allowed values. For the `GEOGRAPHY` type, see [Working with BigQuery
# GIS data](https://cloud.google.com/bigquery/docs/gis-data).
# @param [Array, Hash] types 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`
# * `:JSON`
# * `: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.
# @param [Hash<String|Symbol, External::DataSource>] external 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 {Project#query}.
# @param [String] priority Specifies a priority for the query. Possible
# values include `INTERACTIVE` and `BATCH`. The default value is
# `INTERACTIVE`.
# @param [Boolean] cache 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](https://developers.google.com/bigquery/querying-data).
# @param [Table] table The destination table where the query results
# should be stored. If not present, a new table will be created to
# store the results.
# @param [String] create 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.
# @param [String] write 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.
# @param [Boolean] dryrun 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.
# @param [Dataset, String] dataset The default dataset to use for
# unqualified table names in the query. Optional.
# @param [String] project Specifies the default projectId to assume for
# any unqualified table names in the query. Only used if `dataset`
# option is set.
# @param [Boolean] standard_sql Specifies whether to use BigQuery's
# [standard
# SQL](https://cloud.google.com/bigquery/docs/reference/standard-sql/)
# dialect for this query. If set to true, the query will use standard
# SQL rather than the [legacy
# SQL](https://cloud.google.com/bigquery/docs/reference/legacy-sql)
# dialect. Optional. The default value is true.
# @param [Boolean] legacy_sql Specifies whether to use BigQuery's
# [legacy
# SQL](https://cloud.google.com/bigquery/docs/reference/legacy-sql)
# dialect for this query. If set to false, the query will use
# BigQuery's [standard
# SQL](https://cloud.google.com/bigquery/docs/reference/standard-sql/)
# dialect. Optional. The default value is false.
# @param [Boolean] large_results 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.
# @param [Boolean] flatten 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`.
# @param [Integer] maximum_billing_tier 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.
# @param [Integer] maximum_bytes_billed 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.
# @param [String] job_id 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](https://cloud.google.com/bigquery/docs/managing-jobs#generate-jobid).
# @param [String] prefix 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.
#
# See [Generating a job
# ID](https://cloud.google.com/bigquery/docs/managing-jobs#generate-jobid).
# @param [Hash] labels 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.
# @param [Array<String>, String] udfs 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](https://cloud.google.com/bigquery/docs/reference/standard-sql/migrating-from-legacy-sql#differences_in_user-defined_javascript_functions)
# @param [Boolean] create_session 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.
# @param [String] session_id The ID of an existing session. See also the
# `create_session` param and {Job#session_id}.
# @yield [job] a job configuration object
# @yieldparam [Google::Cloud::Bigquery::QueryJob::Updater] job a job
# configuration object for setting query options.
#
# @return [Google::Cloud::Bigquery::QueryJob]
#
# @example Query using standard SQL:
# require "google/cloud/bigquery"
#
# bigquery = Google::Cloud::Bigquery.new
#
# job = bigquery.query_job "SELECT name FROM `my_project.my_dataset.my_table`"
#
# job.wait_until_done!
# if !job.failed?
# job.data.each do |row|
# puts row[:name]
# end
# end
#
# @example Query using legacy SQL:
# require "google/cloud/bigquery"
#
# bigquery = Google::Cloud::Bigquery.new
#
# job = bigquery.query_job "SELECT name FROM [my_project:my_dataset.my_table]",
# legacy_sql: true
#
# job.wait_until_done!
# if !job.failed?
# job.data.each do |row|
# puts row[:name]
# end
# end
#
# @example Query using positional query parameters:
# require "google/cloud/bigquery"
#
# bigquery = Google::Cloud::Bigquery.new
#
# job = bigquery.query_job "SELECT name FROM `my_dataset.my_table` WHERE id = ?",
# params: [1]
#
# job.wait_until_done!
# if !job.failed?
# job.data.each do |row|
# puts row[:name]
# end
# end
#
# @example Query using named query parameters:
# require "google/cloud/bigquery"
#
# bigquery = Google::Cloud::Bigquery.new
#
# job = bigquery.query_job "SELECT name FROM `my_dataset.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
#
# @example Query using named query parameters with types:
# require "google/cloud/bigquery"
#
# bigquery = Google::Cloud::Bigquery.new
#
# job = bigquery.query_job "SELECT name FROM `my_dataset.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
#
# @example Execute a DDL statement:
# require "google/cloud/bigquery"
#
# bigquery = Google::Cloud::Bigquery.new
#
# job = bigquery.query_job "CREATE TABLE`my_dataset.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
#
# @example Execute a DML statement:
# require "google/cloud/bigquery"
#
# bigquery = Google::Cloud::Bigquery.new
#
# job = bigquery.query_job "UPDATE `my_dataset.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
#
# @example Query using external data source, set destination:
# require "google/cloud/bigquery"
#
# bigquery = Google::Cloud::Bigquery.new
#
# csv_url = "gs://bucket/path/to/data.csv"
# csv_table = bigquery.external csv_url do |csv|
# csv.autodetect = true
# csv.skip_leading_rows = 1
# end
#
# job = bigquery.query_job "SELECT * FROM my_ext_table" do |query|
# query.external = { my_ext_table: csv_table }
# dataset = bigquery.dataset "my_dataset", skip_lookup: true
# 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
#
def query_job query,
params: nil,
types: nil,
external: nil,
priority: "INTERACTIVE",
cache: true,
table: nil,
create: nil,
write: nil,
dryrun: nil,
dataset: nil,
project: 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
ensure_service!
project ||= self.project
options = {
params: params,
types: types,
external: external,
priority: priority,
cache: cache,
table: table,
create: create,
write: write,
dryrun: dryrun,
dataset: dataset,
project: project,
standard_sql: standard_sql,
legacy_sql: legacy_sql,
large_results: large_results,
flatten: flatten,
maximum_billing_tier: maximum_billing_tier,
maximum_bytes_billed: maximum_bytes_billed,
job_id: job_id,
prefix: prefix,
labels: labels,
udfs: udfs,
create_session: create_session,
session_id: session_id
}
updater = QueryJob::Updater.from_options service, query, options
yield updater if block_given?
gapi = service.query_job updater.to_gapi
Job.from_gapi gapi, service
end
##
# 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.
#
# The geographic location for the job ("US", "EU", etc.) can be set via
# {QueryJob::Updater#location=} in a block passed to this method.
#
# @see https://cloud.google.com/bigquery/querying-data Querying Data
#
# @param [String] query A query string, following the BigQuery [query
# syntax](https://cloud.google.com/bigquery/query-reference), of the
# query to execute. Example: "SELECT count(f1) FROM
# [myProjectId:myDatasetId.myTableId]".
# @param [Array, Hash] params 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.|
# | `JSON` | `String` (Stringified JSON) | String, as JSON does not have a schema to verify. |
# | `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](https://cloud.google.com/bigquery/docs/reference/standard-sql/data-types) for an overview
# of each BigQuery data type, including allowed values. For the `GEOGRAPHY` type, see [Working with BigQuery
# GIS data](https://cloud.google.com/bigquery/docs/gis-data).
# @param [Array, Hash] types 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`
# * `:JSON`
# * `: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.
# @param [Hash<String|Symbol, External::DataSource>] external 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 {Project#query}.
# @param [Integer] max 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.
# @param [Boolean] cache 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](https://developers.google.com/bigquery/querying-data).
# @param [String] dataset Specifies the default datasetId and projectId
# to assume for any unqualified table names in the query. If not set,
# all table names in the query string must be qualified in the format
# 'datasetId.tableId'.
# @param [String] project Specifies the default projectId to assume for
# any unqualified table names in the query. Only used if `dataset`
# option is set.
# @param [Boolean] standard_sql Specifies whether to use BigQuery's
# [standard
# SQL](https://cloud.google.com/bigquery/docs/reference/standard-sql/)
# dialect for this query. If set to true, the query will use standard
# SQL rather than the [legacy
# SQL](https://cloud.google.com/bigquery/docs/reference/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.
# @param [Boolean] legacy_sql Specifies whether to use BigQuery's
# [legacy
# SQL](https://cloud.google.com/bigquery/docs/reference/legacy-sql)
# dialect for this query. If set to false, the query will use
# BigQuery's [standard
# SQL](https://cloud.google.com/bigquery/docs/reference/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.
# @param [String] session_id The ID of an existing session. See the
# `create_session` param in {#query_job} and {Job#session_id}.
# @yield [job] a job configuration object
# @yieldparam [Google::Cloud::Bigquery::QueryJob::Updater] job a job
# configuration object for setting additional options for the query.
#
# @return [Google::Cloud::Bigquery::Data]
#
# @example Query using standard SQL:
# require "google/cloud/bigquery"
#
# bigquery = Google::Cloud::Bigquery.new
#
# sql = "SELECT name FROM `my_project.my_dataset.my_table`"
# data = bigquery.query sql
#
# # 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?
#
# @example Query using legacy SQL:
# require "google/cloud/bigquery"
#
# bigquery = Google::Cloud::Bigquery.new
#
# sql = "SELECT name FROM [my_project:my_dataset.my_table]"
# data = bigquery.query sql, 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?
#
# @example Retrieve all rows: (See {Data#all})
# require "google/cloud/bigquery"
#
# bigquery = Google::Cloud::Bigquery.new
#
# data = bigquery.query "SELECT name FROM `my_dataset.my_table`"
#
# data.all do |row|
# puts row[:name]
# end
#
# @example Query using positional query parameters:
# require "google/cloud/bigquery"
#
# bigquery = Google::Cloud::Bigquery.new
#
# data = bigquery.query "SELECT name FROM `my_dataset.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?
#
# @example Query using named query parameters:
# require "google/cloud/bigquery"
#
# bigquery = Google::Cloud::Bigquery.new
#
# data = bigquery.query "SELECT name FROM `my_dataset.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?
#
# @example Query using named query parameters with types:
# require "google/cloud/bigquery"
#
# bigquery = Google::Cloud::Bigquery.new
#
# data = bigquery.query "SELECT name FROM `my_dataset.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?
#
# @example Execute a DDL statement:
# require "google/cloud/bigquery"
#
# bigquery = Google::Cloud::Bigquery.new
#
# data = bigquery.query "CREATE TABLE `my_dataset.my_table` (x INT64)"
#
# table_ref = data.ddl_target_table # Or ddl_target_routine for CREATE/DROP FUNCTION/PROCEDURE
#
# @example Execute a DML statement:
# require "google/cloud/bigquery"
#
# bigquery = Google::Cloud::Bigquery.new
#
# data = bigquery.query "UPDATE `my_dataset.my_table` SET x = x + 1 WHERE x IS NOT NULL"
#
# puts data.num_dml_affected_rows
#
# @example Query using external data source, set destination:
# require "google/cloud/bigquery"
#
# bigquery = Google::Cloud::Bigquery.new
#
# csv_url = "gs://bucket/path/to/data.csv"
# csv_table = bigquery.external csv_url do |csv|
# csv.autodetect = true
# csv.skip_leading_rows = 1
# end
#
# data = bigquery.query "SELECT * FROM my_ext_table" do |query|
# query.external = { my_ext_table: csv_table }
# dataset = bigquery.dataset "my_dataset", skip_lookup: true
# 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?
#
def query query,
params: nil,
types: nil,
external: nil,
max: nil,
cache: true,
dataset: nil,
project: nil,
standard_sql: nil,
legacy_sql: nil,
session_id: nil,
&block
job = query_job query,
params: params,
types: types,
external: external,
cache: cache,
dataset: dataset,
project: project,
standard_sql: standard_sql,
legacy_sql: legacy_sql,
session_id: session_id,
&block
job.wait_until_done!
if job.failed?
begin
# raise to activate ruby exception cause handling
raise job.gapi_error
rescue StandardError => e
# wrap Google::Apis::Error with Google::Cloud::Error
raise Google::Cloud::Error.from_error(e)
end
end
job.data max: max
end
##
# 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](https://cloud.google.com/bigquery/loading-data-post-request#multipart).
#
# The geographic location for the job ("US", "EU", etc.) can be set via
# {LoadJob::Updater#location=} in a block passed to this method.
#
# @param [String] table_id The destination table to load the data into.
# @param [File, Google::Cloud::Storage::File, String, URI,
# Array<Google::Cloud::Storage::File, String, URI>] files
# A file or the URI of a Google Cloud Storage file, or an Array of
# those, containing data to load into the table.
# @param [String] format The exported file format. The default value is
# `csv`.
#
# The following values are supported:
#
# * `csv` - CSV
# * `json` - [Newline-delimited JSON](https://jsonlines.org/)
# * `avro` - [Avro](http://avro.apache.org/)
# * `orc` - [ORC](https://cloud.google.com/bigquery/docs/loading-data-cloud-storage-orc)
# * `parquet` - [Parquet](https://parquet.apache.org/)
# * `datastore_backup` - Cloud Datastore backup
# @param [String] dataset_id The destination table to load the data into.
# For load job with create_session/session_id it defaults to "_SESSION"
# @param [String] create 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.
# @param [String] write 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.
# @param [Array<String>] projection_fields 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.
# @param [Boolean] jagged_rows 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.
# @param [Boolean] quoted_newlines Indicates if BigQuery should allow
# quoted data sections that contain newline characters in a CSV file.
# The default value is `false`.
# @param [Boolean] autodetect Indicates if BigQuery should
# automatically infer the options and schema for CSV and JSON sources.
# The default value is `false`.
# @param [String] encoding The character encoding of the data. The
# supported values are `UTF-8` or `ISO-8859-1`. The default value is
# `UTF-8`.
# @param [String] delimiter 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 <code>,</code>.
# @param [Boolean] ignore_unknown 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
# @param [Integer] max_bad_records 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.
# @param [String] null_marker 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.
# @param [String] quote 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
# <code>"</code>. 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.
# @param [Integer] skip_leading 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.
# @param [Google::Cloud::Bigquery::Schema] schema 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.
# @param [String] job_id 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](https://cloud.google.com/bigquery/docs/managing-jobs#generate-jobid).
# @param [String] prefix 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.
# @param [Hash] labels 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.
# @param [Boolean] create_session 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 tables in _SESSION dataset
# else the property will be ignored by the backend.
# @param [string] session_id Session ID in which the load job must run.
# @param [string] project_id Project ID where the destination table exists.
#
# @yield [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.
# @yieldparam [Google::Cloud::Bigquery::LoadJob::Updater] updater An
# updater to modify the load job and its schema.
# @param [Boolean] dryrun If set, don't actually run this job. Behavior
# is undefined however for non-query jobs and may result in an error.
# Deprecated.
#
# @return [Google::Cloud::Bigquery::LoadJob] A new load job object.
#
# @example
# require "google/cloud/bigquery"
#
# bigquery = Google::Cloud::Bigquery.new
#
# gs_url = "gs://my-bucket/file-name.csv"
# load_job = bigquery.load_job "temp_table", gs_url, autodetect: true, create_session: true
# load_job.wait_until_done!
# session_id = load_job.statistics["sessionInfo"]["sessionId"]
#
def load_job table_id, files, dataset_id: nil, 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, project_id: nil, &block
ensure_service!
dataset_id ||= "_SESSION" unless create_session.nil? && session_id.nil?
session_dataset = dataset dataset_id, skip_lookup: true, project_id: project_id
table = session_dataset.table table_id, skip_lookup: true
table.load_job files,
format: format, create: create, write: write, projection_fields: projection_fields,
jagged_rows: jagged_rows, quoted_newlines: quoted_newlines, encoding: encoding,
delimiter: delimiter, ignore_unknown: ignore_unknown,
max_bad_records: max_bad_records, quote: quote, skip_leading: skip_leading,
dryrun: dryrun, schema: schema, job_id: job_id, prefix: prefix, labels: labels,
autodetect: autodetect, null_marker: null_marker, create_session: create_session,
session_id: session_id, &block
end
##
# 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](https://cloud.google.com/bigquery/loading-data-post-request#multipart).
#
# The geographic location for the job ("US", "EU", etc.) can be set via
# {LoadJob::Updater#location=} in a block passed to this method.
#
# @param [String] table_id The destination table to load the data into.
# @param [File, Google::Cloud::Storage::File, String, URI,
# Array<Google::Cloud::Storage::File, String, URI>] files
# A file or the URI of a Google Cloud Storage file, or an Array of
# those, containing data to load into the table.
# @param [String] format The exported file format. The default value is
# `csv`.
#
# The following values are supported:
#
# * `csv` - CSV
# * `json` - [Newline-delimited JSON](https://jsonlines.org/)
# * `avro` - [Avro](http://avro.apache.org/)
# * `orc` - [ORC](https://cloud.google.com/bigquery/docs/loading-data-cloud-storage-orc)
# * `parquet` - [Parquet](https://parquet.apache.org/)
# * `datastore_backup` - Cloud Datastore backup
# @param [String] create 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.
# @param [String] dataset_id The destination table to load the data into.
# For load job with session it defaults to "_SESSION"
# @param [String] write 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.
# @param [Array<String>] projection_fields 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.
# @param [Boolean] jagged_rows 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.
# @param [Boolean] quoted_newlines Indicates if BigQuery should allow
# quoted data sections that contain newline characters in a CSV file.
# The default value is `false`.
# @param [Boolean] autodetect Indicates if BigQuery should
# automatically infer the options and schema for CSV and JSON sources.
# The default value is `false`.
# @param [String] encoding The character encoding of the data. The
# supported values are `UTF-8` or `ISO-8859-1`. The default value is
# `UTF-8`.
# @param [String] delimiter 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 <code>,</code>.
# @param [Boolean] ignore_unknown 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
# @param [Integer] max_bad_records 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.
# @param [String] null_marker 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.
# @param [String] quote 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
# <code>"</code>. 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.
# @param [Integer] skip_leading 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.
# @param [Google::Cloud::Bigquery::Schema] schema 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.
# @param [string] session_id Session ID in which the load job must run.
#
# @yield [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.
# @yieldparam [Google::Cloud::Bigquery::LoadJob::Updater] updater An
# updater to modify the load job and its schema.
#
# @return [Boolean] Returns `true` if the load job was successful.
#
# @example
# require "google/cloud/bigquery"
#
# bigquery = Google::Cloud::Bigquery.new
#
# gs_url = "gs://my-bucket/file-name.csv"
# bigquery.load "my_new_table", gs_url, dataset_id: "my_dataset" 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
#
# @!group Data
#
def load table_id, files, dataset_id: "_SESSION", 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
job = load_job table_id, files, dataset_id: dataset_id,
format: format, create: create, write: write, projection_fields: projection_fields,
jagged_rows: jagged_rows, quoted_newlines: quoted_newlines, encoding: encoding,
delimiter: delimiter, ignore_unknown: ignore_unknown, max_bad_records: max_bad_records,
quote: quote, skip_leading: skip_leading, schema: schema, autodetect: autodetect,
null_marker: null_marker, session_id: session_id, &block
job.wait_until_done!
ensure_job_succeeded! job
true
end
##
# 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.
#
# @see https://cloud.google.com/bigquery/external-data-sources Querying
# External Data Sources
#
# @param [String, Array<String>] url 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.
# @param [String|Symbol] format 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](https://jsonlines.org/)
# * `avro` - [Avro](http://avro.apache.org/)
# * `sheets` - Google Sheets
# * `datastore_backup` - Cloud Datastore backup
# * `bigtable` - Bigtable
#
# @return [External::DataSource] External data source.
#
# @example
# require "google/cloud/bigquery"
#
# bigquery = Google::Cloud::Bigquery.new
#
# csv_url = "gs://bucket/path/to/data.csv"
# csv_table = bigquery.external csv_url do |csv|
# csv.autodetect = true
# csv.skip_leading_rows = 1
# end
#
# data = bigquery.query "SELECT * FROM my_ext_table",
# external: { my_ext_table: csv_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?
#
def external url, format: nil
ext = External.from_urls url, format
yield ext if block_given?
ext
end
##
# Retrieves an existing dataset by ID.
#
# @param [String] dataset_id The ID of a dataset.
# @param [Boolean] skip_lookup 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.
# @param [String] project_id The GCP Project where the dataset lives.
#
# @return [Google::Cloud::Bigquery::Dataset, nil] Returns `nil` if the
# dataset does not exist.
#
# @example
# require "google/cloud/bigquery"
#
# bigquery = Google::Cloud::Bigquery.new
#
# dataset = bigquery.dataset "my_dataset"
# puts dataset.name
#
# @example
# require "google/cloud/bigquery"
#
# bigquery = Google::Cloud::Bigquery.new
#
# dataset = bigquery.dataset "my_dataset", project_id: "another_project"
# puts dataset.name
#
# @example Avoid retrieving the dataset resource with `skip_lookup`:
# require "google/cloud/bigquery"
#
# bigquery = Google::Cloud::Bigquery.new
#
# dataset = bigquery.dataset "my_dataset", skip_lookup: true
#
def dataset dataset_id, skip_lookup: nil, project_id: nil
ensure_service!
project_id ||= project
return Dataset.new_reference project_id, dataset_id, service if skip_lookup
gapi = service.get_project_dataset project_id, dataset_id
Dataset.from_gapi gapi, service
rescue Google::Cloud::NotFoundError
nil
end
##
# Creates a new dataset.
#
# @param [String] dataset_id A unique ID for this dataset, without the
# project name. The ID must contain only letters (`[A-Za-z]`), numbers
# (`[0-9]`), or underscores (`_`). The maximum length is 1,024 characters.
# @param [String] name A descriptive name for the dataset.
# @param [String] description A user-friendly description of the
# dataset.
# @param [Integer] expiration The default lifetime of all tables in the
# dataset, in milliseconds. The minimum value is `3_600_000` (one hour).
# @param [String] location The geographic location where the dataset
# should reside. Possible values include `EU` and `US`. The default
# value is `US`.
# @yield [access] a block for setting rules
# @yieldparam [Google::Cloud::Bigquery::Dataset] access the object
# accepting rules
#
# @return [Google::Cloud::Bigquery::Dataset]
#
# @example
# require "google/cloud/bigquery"
#
# bigquery = Google::Cloud::Bigquery.new
#
# dataset = bigquery.create_dataset "my_dataset"
#
# @example A name and description can be provided:
# require "google/cloud/bigquery"
#
# bigquery = Google::Cloud::Bigquery.new
#
# dataset = bigquery.create_dataset "my_dataset",
# name: "My Dataset",
# description: "This is my Dataset"
#
# @example Or, configure access with a block: (See {Dataset::Access})
# require "google/cloud/bigquery"
#
# bigquery = Google::Cloud::Bigquery.new
#
# dataset = bigquery.create_dataset "my_dataset" do |dataset|
# dataset.access.add_writer_user "writers@example.com"
# end
#
def create_dataset dataset_id, name: nil, description: nil,
expiration: nil, location: nil
ensure_service!
new_ds = Google::Apis::BigqueryV2::Dataset.new(
dataset_reference: Google::Apis::BigqueryV2::DatasetReference.new(
project_id: project, dataset_id: dataset_id
)
)
# Can set location only on creation, no Dataset#location method
new_ds.update! location: location unless location.nil?
updater = Dataset::Updater.new(new_ds).tap do |b|
b.name = name unless name.nil?
b.description = description unless description.nil?
b.default_expiration = expiration unless expiration.nil?
end
if block_given?
yield updater
updater.check_for_mutated_access!
end
gapi = service.insert_dataset new_ds
Dataset.from_gapi gapi, service
end
##
# Retrieves the list of datasets belonging to the project.
#
# @param [Boolean] all Whether to list all datasets, including hidden
# ones. The default is `false`.
# @param [String] filter An expression for filtering the results of the
# request by label. The syntax is `labels.<name>[:<value>]`.
# Multiple filters can be `AND`ed together by connecting with a space.
# Example: `labels.department:receiving labels.active`. See [Filtering
# datasets using labels](https://cloud.google.com/bigquery/docs/labeling-datasets#filtering_datasets_using_labels).
# @param [String] token A previously-returned page token representing
# part of the larger set of results to view.
# @param [Integer] max Maximum number of datasets to return.
#
# @return [Array<Google::Cloud::Bigquery::Dataset>] (See
# {Google::Cloud::Bigquery::Dataset::List})
#
# @example
# require "google/cloud/bigquery"
#
# bigquery = Google::Cloud::Bigquery.new
#
# datasets = bigquery.datasets
# datasets.each do |dataset|
# puts dataset.name
# end
#
# @example Retrieve hidden datasets with the `all` optional arg:
# require "google/cloud/bigquery"
#
# bigquery = Google::Cloud::Bigquery.new
#
# all_datasets = bigquery.datasets all: true
#
# @example Retrieve all datasets: (See {Dataset::List#all})
# require "google/cloud/bigquery"
#
# bigquery = Google::Cloud::Bigquery.new
#
# datasets = bigquery.datasets
# datasets.all do |dataset|
# puts dataset.name
# end
#
def datasets all: nil, filter: nil, token: nil, max: nil
ensure_service!
gapi = service.list_datasets all: all, filter: filter, token: token, max: max
Dataset::List.from_gapi gapi, service, all, filter, max
end
##
# Retrieves an existing job by ID.
#
# @param [String] job_id The ID of a job.
# @param [String] location The geographic location where the job was
# created. Required except for US and EU.
#
# @return [Google::Cloud::Bigquery::Job, nil] Returns `nil` if the job
# does not exist.
#
# @example
# require "google/cloud/bigquery"
#
# bigquery = Google::Cloud::Bigquery.new
#
# job = bigquery.job "my_job"
#
def job job_id, location: nil
ensure_service!
gapi = service.get_job job_id, location: location
Job.from_gapi gapi, service
rescue Google::Cloud::NotFoundError
nil
end
##
# Retrieves the list of jobs belonging to the project.
#
# @param [Boolean] all Whether to display jobs owned by all users in the
# project. The default is `false`. Optional.
# @param [String] token A previously-returned page token representing
# part of the larger set of results to view. Optional.
# @param [Integer] max Maximum number of jobs to return. Optional.
# @param [String] filter A filter for job state. Optional.
#
# Acceptable values are:
#
# * `done` - Finished jobs
# * `pending` - Pending jobs
# * `running` - Running jobs
# @param [Time] min_created_at Min value for {Job#created_at}. When
# provided, only jobs created after or at this time are returned.
# Optional.
# @param [Time] max_created_at Max value for {Job#created_at}. When
# provided, only jobs created before or at this time are returned.
# Optional.
# @param [Google::Cloud::Bigquery::Job, String] parent_job A job
# object or a job ID. If set, retrieve only child jobs of the
# specified parent. Optional. See {Job#job_id}, {Job#num_child_jobs},
# and {Job#parent_job_id}.
#
# @return [Array<Google::Cloud::Bigquery::Job>] (See
# {Google::Cloud::Bigquery::Job::List})
#
# @example
# require "google/cloud/bigquery"
#
# bigquery = Google::Cloud::Bigquery.new
#
# jobs = bigquery.jobs
# jobs.each do |job|
# # process job
# end
#
# @example Retrieve only running jobs using the `filter` optional arg:
# require "google/cloud/bigquery"
#
# bigquery = Google::Cloud::Bigquery.new
#
# running_jobs = bigquery.jobs filter: "running"
# running_jobs.each do |job|
# # process job
# end
#
# @example Retrieve only jobs created within provided times:
# require "google/cloud/bigquery"
#
# bigquery = Google::Cloud::Bigquery.new
#
# two_days_ago = Time.now - 60*60*24*2
# three_days_ago = Time.now - 60*60*24*3
#
# jobs = bigquery.jobs min_created_at: three_days_ago,
# max_created_at: two_days_ago
# jobs.each do |job|
# # process job
# end
#
# @example Retrieve all jobs: (See {Job::List#all})
# require "google/cloud/bigquery"
#
# bigquery = Google::Cloud::Bigquery.new
#
# jobs = bigquery.jobs
# jobs.all do |job|
# # process job
# end
#
# @example Retrieve child jobs by setting `parent_job`:
# require "google/cloud/bigquery"
#
# bigquery = Google::Cloud::Bigquery.new
#
# multi_statement_sql = <<~SQL
# -- Declare a variable to hold names as an array.
# DECLARE top_names ARRAY<STRING>;
# -- Build an array of the top 100 names from the year 2017.
# SET top_names = (
# SELECT ARRAY_AGG(name ORDER BY number DESC LIMIT 100)
# FROM `bigquery-public-data.usa_names.usa_1910_current`
# WHERE year = 2017
# );
# -- Which names appear as words in Shakespeare's plays?
# SELECT
# name AS shakespeare_name
# FROM UNNEST(top_names) AS name
# WHERE name IN (
# SELECT word
# FROM `bigquery-public-data.samples.shakespeare`
# );
# SQL
#
# job = bigquery.query_job multi_statement_sql
#
# job.wait_until_done!
#
# child_jobs = bigquery.jobs parent_job: job
#
# child_jobs.each do |child_job|
# script_statistics = child_job.script_statistics
# puts script_statistics.evaluation_kind
# script_statistics.stack_frames.each do |stack_frame|
# puts stack_frame.text
# end
# end
#
def jobs all: nil,
token: nil,
max: nil,
filter: nil,
min_created_at: nil,
max_created_at: nil,
parent_job: nil
ensure_service!
parent_job = parent_job.job_id if parent_job.is_a? Job
options = {
parent_job_id: parent_job,
all: all,
token: token,
max: max, filter: filter,
min_created_at: min_created_at,
max_created_at: max_created_at
}
gapi = service.list_jobs(**options)
Job::List.from_gapi gapi, service, **options
end
##
# Retrieves the list of all projects for which the currently authorized
# account has been granted any project role. The returned project
# instances share the same credentials as the project used to retrieve
# them, but lazily create a new API connection for interactions with the
# BigQuery service.
#
# @param [String] token A previously-returned page token representing
# part of the larger set of results to view.
# @param [Integer] max Maximum number of projects to return.
#
# @return [Array<Google::Cloud::Bigquery::Project>] (See
# {Google::Cloud::Bigquery::Project::List})
#
# @example
# require "google/cloud/bigquery"
#
# bigquery = Google::Cloud::Bigquery.new
#
# projects = bigquery.projects
# projects.each do |project|
# puts project.name
# project.datasets.all.each do |dataset|
# puts dataset.name
# end
# end
#
# @example Retrieve all projects: (See {Project::List#all})
# require "google/cloud/bigquery"
#
# bigquery = Google::Cloud::Bigquery.new
#
# projects = bigquery.projects
#
# projects.all do |project|
# puts project.name
# project.datasets.all.each do |dataset|
# puts dataset.name
# end
# end
#
def projects token: nil, max: nil
ensure_service!
gapi = service.list_projects token: token, max: max
Project::List.from_gapi gapi, service, max
end
##
# Creates a Bigquery::Time object to represent a time, independent of a
# specific date.
#
# @param [Integer] hour Hour, valid values from 0 to 23.
# @param [Integer] minute Minute, valid values from 0 to 59.
# @param [Integer, Float] second Second, valid values from 0 to 59. Can
# contain microsecond precision.
#
# @return [Bigquery::Time]
#
# @example
# require "google/cloud/bigquery"
#
# bigquery = Google::Cloud::Bigquery.new
#
# fourpm = bigquery.time 16, 0, 0
# data = bigquery.query "SELECT name FROM `my_dataset.my_table` WHERE time_of_date = @time",
# params: { time: fourpm }
#
# # 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?
#
# @example Create Time with fractional seconds:
# require "google/cloud/bigquery"
#
# bigquery = Google::Cloud::Bigquery.new
#
# precise_time = bigquery.time 16, 35, 15.376541
# data = bigquery.query "SELECT name FROM `my_dataset.my_table` WHERE time_of_date >= @time",
# params: { time: precise_time }
#
# # 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?
#
def time hour, minute, second
Bigquery::Time.new "#{hour}:#{minute}:#{second}"
end
##
# Creates a new schema instance. An optional block may be given to
# configure the schema, otherwise the schema is returned empty and may
# be configured directly.
#
# The returned schema can be passed to {Dataset#load} using the
# `schema` option. However, for most use cases, the block yielded by
# {Dataset#load} is a more convenient way to configure the schema
# for the destination table.
#
# @yield [schema] a block for setting the schema
# @yieldparam [Schema] schema the object accepting the schema
#
# @return [Google::Cloud::Bigquery::Schema]
#
# @example
# require "google/cloud/bigquery"
#
# bigquery = Google::Cloud::Bigquery.new
#
# schema = bigquery.schema do |s|
# s.string "first_name", mode: :required
# s.record "cities_lived", mode: :repeated do |nested_schema|
# nested_schema.string "place", mode: :required
# nested_schema.integer "number_of_years", mode: :required
# end
# end
#
# dataset = bigquery.dataset "my_dataset"
#
# gs_url = "gs://my-bucket/file-name.csv"
# load_job = dataset.load_job "my_new_table", gs_url, schema: schema
#
def schema
s = Schema.from_gapi
yield s if block_given?
s
end
##
# Creates a new Bigquery::EncryptionConfiguration instance.
#
# This method does not execute an API call. Use the encryption
# configuration to encrypt a table when creating one via
# Bigquery::Dataset#create_table, Bigquery::Dataset#load,
# Bigquery::Table#copy, or Bigquery::Project#query.
#
# @param [String] kms_key Name of the Cloud KMS encryption key that
# will be used to protect the destination BigQuery table. The BigQuery
# Service Account associated with your project requires access to this
# encryption key.
#
# @example Encrypt a new table
# 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
#
# table = dataset.create_table "my_table" do |updater|
# updater.encryption = encrypt_config
# end
#
# @example Encrypt a load destination table
# 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
# job = dataset.load_job "my_table", "gs://abc/file" do |job|
# job.encryption = encrypt_config
# end
#
# @example Encrypt a copy destination table
# require "google/cloud/bigquery"
#
# bigquery = Google::Cloud::Bigquery.new
# dataset = bigquery.dataset "my_dataset"
# table = dataset.table "my_table"
#
# key_name = "projects/a/locations/b/keyRings/c/cryptoKeys/d"
# encrypt_config = bigquery.encryption kms_key: key_name
# job = table.copy_job "my_dataset.new_table" do |job|
# job.encryption = encrypt_config
# end
#
# @example Encrypt a query destination table
# 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
# job = bigquery.query_job "SELECT 1;" do |query|
# query.table = dataset.table "my_table", skip_lookup: true
# query.encryption = encrypt_config
# end
#
# @return [Google::Cloud::Bigquery::EncryptionConfiguration]
def encryption kms_key: nil
encrypt_config = Bigquery::EncryptionConfiguration.new
encrypt_config.kms_key = kms_key unless kms_key.nil?
encrypt_config
end
##
# Extracts the data from a table or exports a model to Google Cloud Storage
# asynchronously, immediately returning an {ExtractJob} that can be used to
# track the progress of the export job. 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 {#extract} for the synchronous version.
#
# Use this method instead of {Table#extract_job} or {Model#extract_job} to
# extract data from source tables or models in other projects.
#
# The geographic location for the job ("US", "EU", etc.) can be set via
# {ExtractJob::Updater#location=} in a block passed to this method.
#
# @see https://cloud.google.com/bigquery/docs/exporting-data
# Exporting table data
# @see https://cloud.google.com/bigquery-ml/docs/exporting-models
# Exporting models
#
# @param [Table, Model, String] source The source table or model for
# the extract operation. This can be a table or model object; or a
# table ID string as specified by the [Standard SQL Query
# Reference](https://cloud.google.com/bigquery/docs/reference/standard-sql/query-syntax#from-clause)
# (`project-name.dataset_id.table_id`) or the [Legacy SQL Query
# Reference](https://cloud.google.com/bigquery/query-reference#from)
# (`project-name:dataset_id.table_id`).
# @param [Google::Cloud::Storage::File, String, Array<String>]
# extract_url The Google Storage file or file URI pattern(s) to which
# BigQuery should extract. For a model export this value should be a
# string ending in an object name prefix, since multiple objects will
# be exported.
# @param [String] format The exported file format. The default value for
# tables is `csv`. Tables with nested or repeated fields cannot be
# exported as CSV. The default value for models is `ml_tf_saved_model`.
#
# Supported values for tables:
#
# * `csv` - CSV
# * `json` - [Newline-delimited JSON](https://jsonlines.org/)
# * `avro` - [Avro](http://avro.apache.org/)
#
# Supported values for models:
#
# * `ml_tf_saved_model` - TensorFlow SavedModel
# * `ml_xgboost_booster` - XGBoost Booster
# @param [String] compression The compression type to use for exported
# files. Possible values include `GZIP` and `NONE`. The default value
# is `NONE`. Not applicable when extracting models.
# @param [String] delimiter Delimiter to use between fields in the
# exported table data. Default is `,`. Not applicable when extracting
# models.
# @param [Boolean] header Whether to print out a header row in table
# exports. Default is `true`. Not applicable when extracting models.
# @param [String] job_id A user-defined ID for the extract 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](https://cloud.google.com/bigquery/docs/managing-jobs#generate-jobid).
# @param [String] prefix 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.
# @param [Hash] labels 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.
# @yield [job] a job configuration object
# @yieldparam [Google::Cloud::Bigquery::ExtractJob::Updater] job a job
# configuration object for setting additional options.
#
# @return [Google::Cloud::Bigquery::ExtractJob]
#
# @example Export table data
# require "google/cloud/bigquery"
#
# bigquery = Google::Cloud::Bigquery.new
#
# table_id = "bigquery-public-data.samples.shakespeare"
# extract_job = bigquery.extract_job table_id, "gs://my-bucket/shakespeare.csv"
# extract_job.wait_until_done!
# extract_job.done? #=> true
#
# @example Export a model
# require "google/cloud/bigquery"
#
# bigquery = Google::Cloud::Bigquery.new
# dataset = bigquery.dataset "my_dataset"
# model = dataset.model "my_model"
#
# extract_job = bigquery.extract model, "gs://my-bucket/#{model.model_id}"
#
# @!group Data
#
def extract_job source, extract_url, format: nil, compression: nil, delimiter: nil, header: nil, job_id: nil,
prefix: nil, labels: nil
ensure_service!
options = { format: format, compression: compression, delimiter: delimiter, header: header, job_id: job_id,
prefix: prefix, labels: labels }
source_ref = if source.respond_to? :model_ref
source.model_ref
else
Service.get_table_ref source, default_ref: project_ref
end
updater = ExtractJob::Updater.from_options service, source_ref, extract_url, options
yield updater if block_given?
job_gapi = updater.to_gapi
gapi = service.extract_table job_gapi
Job.from_gapi gapi, service
end
##
# Extracts the data from a table or exports a model to Google Cloud Storage
# using a synchronous method that blocks for a response. Timeouts
# and transient errors are generally handled as needed to complete the
# job. See {#extract_job} for the asynchronous version.
#
# Use this method instead of {Table#extract} or {Model#extract} to
# extract data from source tables or models in other projects.
#
# The geographic location for the job ("US", "EU", etc.) can be set via
# {ExtractJob::Updater#location=} in a block passed to this method.
#
# @see https://cloud.google.com/bigquery/docs/exporting-data
# Exporting table data
# @see https://cloud.google.com/bigquery-ml/docs/exporting-models
# Exporting models
#
# @param [Table, Model, String] source The source table or model for
# the extract operation. This can be a table or model object; or a
# table ID string as specified by the [Standard SQL Query
# Reference](https://cloud.google.com/bigquery/docs/reference/standard-sql/query-syntax#from-clause)
# (`project-name.dataset_id.table_id`) or the [Legacy SQL Query
# Reference](https://cloud.google.com/bigquery/query-reference#from)
# (`project-name:dataset_id.table_id`).
# @param [Google::Cloud::Storage::File, String, Array<String>]
# extract_url The Google Storage file or file URI pattern(s) to which
# BigQuery should extract. For a model export this value should be a
# string ending in an object name prefix, since multiple objects will
# be exported.
# @param [String] format The exported file format. The default value for
# tables is `csv`. Tables with nested or repeated fields cannot be
# exported as CSV. The default value for models is `ml_tf_saved_model`.
#
# Supported values for tables:
#
# * `csv` - CSV
# * `json` - [Newline-delimited JSON](https://jsonlines.org/)
# * `avro` - [Avro](http://avro.apache.org/)
#
# Supported values for models:
#
# * `ml_tf_saved_model` - TensorFlow SavedModel
# * `ml_xgboost_booster` - XGBoost Booster
# @param [String] compression The compression type to use for exported
# files. Possible values include `GZIP` and `NONE`. The default value
# is `NONE`. Not applicable when extracting models.
# @param [String] delimiter Delimiter to use between fields in the
# exported table data. Default is `,`. Not applicable when extracting
# models.
# @param [Boolean] header Whether to print out a header row in table
# exports. Default is `true`. Not applicable when extracting models.
# @yield [job] a job configuration object
# @yieldparam [Google::Cloud::Bigquery::ExtractJob::Updater] job a job
# configuration object for setting additional options.
#
# @return [Boolean] Returns `true` if the extract operation succeeded.
#
# @example Export table data
# require "google/cloud/bigquery"
#
# bigquery = Google::Cloud::Bigquery.new
#
# bigquery.extract "bigquery-public-data.samples.shakespeare",
# "gs://my-bucket/shakespeare.csv"
#
# @example Export a model
# require "google/cloud/bigquery"
#
# bigquery = Google::Cloud::Bigquery.new
# dataset = bigquery.dataset "my_dataset"
# model = dataset.model "my_model"
#
# bigquery.extract model, "gs://my-bucket/#{model.model_id}"
#
# @!group Data
#
def extract source, extract_url, format: nil, compression: nil, delimiter: nil, header: nil, &block
job = extract_job source, extract_url,
format: format,
compression: compression,
delimiter: delimiter,
header: header,
&block
job.wait_until_done!
ensure_job_succeeded! job
true
end
##
# @private New Project from a Google API Client object, using the
# same Credentials as this project.
def self.from_gapi gapi, service
project_service = Service.new gapi.project_reference.project_id,
service.credentials,
retries: service.retries,
timeout: service.timeout
new(project_service).tap do |p|
p.instance_variable_set :@name, gapi.friendly_name
# TODO: remove `Integer` and set normally after migrating to Gax or
# to google-api-client 0.10 (See google/google-api-ruby-client#439)
p.instance_variable_set :@numeric_id, Integer(gapi.numeric_id) if gapi.numeric_id
end
end
protected
##
# Raise an error unless an active service is available.
def ensure_service!
raise "Must have active connection" unless service
end
def ensure_job_succeeded! job
return unless job.failed?
begin
# raise to activate ruby exception cause handling
raise job.gapi_error
rescue StandardError => e
# wrap Google::Apis::Error with Google::Cloud::Error
raise Google::Cloud::Error.from_error(e)
end
end
def project_ref
Google::Apis::BigqueryV2::ProjectReference.new project_id: project_id
end
end
end
end
end