BigQuery API - Class Google::Cloud::Bigquery::LoadJob::Updater (v1.40.0)

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

Yielded to a block to accumulate changes for a patch request.

Inherits

Google::Cloud::Bigquery::LoadJob

Methods

#autodetect=

def autodetect=(val)

Allows BigQuery to autodetect the schema.

Parameter

val (Boolean) — Indicates if BigQuery should automatically infer the options and schema for CSV and JSON sources. The default value is false.

#bignumeric

def bignumeric(name, description: nil, mode: :nullable, policy_tags: nil, precision: nil, scale: nil)

Adds a bignumeric number field to the schema. BIGNUMERIC is a decimal type with fixed precision and scale. Precision is the number of digits that the number contains. Scale is how many of these digits appear after the decimal point. It supports:

Precision: 76.76 (the 77th digit is partial) Scale: 38 Min: -5.7896044618658097711785492504343953926634992332820282019728792003956564819968E+38 Max: 5.7896044618658097711785492504343953926634992332820282019728792003956564819967E+38

This type can represent decimal fractions exactly, and is suitable for financial calculations.

See Schema#bignumeric

Parameters

name (String) — The field name. The name must contain only letters ([A-Za-z]), numbers ([0-9]), or underscores (_), and must start with a letter or underscore. The maximum length is 128 characters.
description (String) (defaults to: nil) — A description of the field.
mode (Symbol) (defaults to: :nullable) — The field's mode. The possible values are :nullable, :required, and :repeated. The default value is :nullable.
policy_tags (Array<String>, String) (defaults to: nil) — The policy tag list or single policy tag for the field. Policy tag identifiers are of the form projects/*/locations/*/taxonomies/*/policyTags/*. At most 1 policy tag is currently allowed.
precision (Integer) (defaults to: nil) — The precision (maximum number of total digits) for the field. Acceptable values for precision must be: 1 ≤ (precision - scale) ≤ 38. Values for scale must be: 0 ≤ scale ≤ 38. If the scale value is set, the precision value must be set as well.
scale (Integer) (defaults to: nil) — The scale (maximum number of digits in the fractional part) for the field. Acceptable values for precision must be: 1 ≤ (precision - scale) ≤ 38. Values for scale must be: 0 ≤ scale ≤ 38. If the scale value is set, the precision value must be set as well.

Example

require "google/cloud/bigquery"

bigquery = Google::Cloud::Bigquery.new
dataset = bigquery.dataset "my_dataset"
job = dataset.load_job "my_table", "gs://abc/file" do |schema|
  schema.bignumeric "total_cost", mode: :required
end

#boolean

def boolean(name, description: nil, mode: :nullable, policy_tags: nil)

Adds a boolean field to the schema.

See Schema#boolean.

Parameters

name (String) — The field name. The name must contain only letters ([A-Za-z]), numbers ([0-9]), or underscores (_), and must start with a letter or underscore. The maximum length is 128 characters.
description (String) (defaults to: nil) — A description of the field.
mode (Symbol) (defaults to: :nullable) — The field's mode. The possible values are :nullable, :required, and :repeated. The default value is :nullable.
policy_tags (Array<String>, String) (defaults to: nil) — The policy tag list or single policy tag for the field. Policy tag identifiers are of the form projects/*/locations/*/taxonomies/*/policyTags/*. At most 1 policy tag is currently allowed.

Example

require "google/cloud/bigquery"

bigquery = Google::Cloud::Bigquery.new
dataset = bigquery.dataset "my_dataset"
job = dataset.load_job "my_table", "gs://abc/file" do |schema|
  schema.boolean "active", mode: :required
end

#bytes

def bytes(name, description: nil, mode: :nullable, policy_tags: nil, max_length: nil)

Adds a bytes field to the schema.

See Schema#bytes.

Parameters

name (String) — The field name. The name must contain only letters ([A-Za-z]), numbers ([0-9]), or underscores (_), and must start with a letter or underscore. The maximum length is 128 characters.
description (String) (defaults to: nil) — A description of the field.
mode (Symbol) (defaults to: :nullable) — The field's mode. The possible values are :nullable, :required, and :repeated. The default value is :nullable.
policy_tags (Array<String>, String) (defaults to: nil) — The policy tag list or single policy tag for the field. Policy tag identifiers are of the form projects/*/locations/*/taxonomies/*/policyTags/*. At most 1 policy tag is currently allowed.
max_length (Integer) (defaults to: nil) — The maximum the maximum number of bytes in the field.

Example

require "google/cloud/bigquery"

bigquery = Google::Cloud::Bigquery.new
dataset = bigquery.dataset "my_dataset"
job = dataset.load_job "my_table", "gs://abc/file" do |schema|
  schema.bytes "avatar", mode: :required
end

#cancel

def cancel()

#check_for_mutated_schema!

def check_for_mutated_schema!()

Make sure any access changes are saved

#clustering_fields=

def clustering_fields=(fields)

Sets the list of fields on which data should be clustered.

Only top-level, non-repeated, simple-type fields are supported. When you cluster a table using multiple columns, the order of columns you specify is important. The order of the specified columns determines the sort order of the data.

BigQuery supports clustering for both partitioned and non-partitioned tables.

See #clustering_fields, Table#clustering_fields and Table#clustering_fields=.

Parameter

fields (Array<String>) — The clustering fields. Only top-level, non-repeated, simple-type fields are supported.

Example

require "google/cloud/bigquery"

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

gcs_uri = "gs://my-bucket/file-name.csv"
load_job = dataset.load_job "my_new_table", gcs_uri do |job|
  job.time_partitioning_type  = "DAY"
  job.time_partitioning_field = "dob"
  job.schema do |schema|
    schema.timestamp "dob", mode: :required
    schema.string "first_name", mode: :required
    schema.string "last_name", mode: :required
  end
  job.clustering_fields = ["last_name", "first_name"]
end

load_job.wait_until_done!
load_job.done? #=> true

#create=

def create=(new_create)

Sets the create disposition.

This 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.

Parameter

new_create (String) — The new create disposition.

#date

def date(name, description: nil, mode: :nullable, policy_tags: nil)

Adds a date field to the schema.

See Schema#date.

Parameters

name (String) — The field name. The name must contain only letters ([A-Za-z]), numbers ([0-9]), or underscores (_), and must start with a letter or underscore. The maximum length is 128 characters.
description (String) (defaults to: nil) — A description of the field.
mode (Symbol) (defaults to: :nullable) — The field's mode. The possible values are :nullable, :required, and :repeated. The default value is :nullable.
policy_tags (Array<String>, String) (defaults to: nil) — The policy tag list or single policy tag for the field. Policy tag identifiers are of the form projects/*/locations/*/taxonomies/*/policyTags/*. At most 1 policy tag is currently allowed.

Example

require "google/cloud/bigquery"

bigquery = Google::Cloud::Bigquery.new
dataset = bigquery.dataset "my_dataset"
job = dataset.load_job "my_table", "gs://abc/file" do |schema|
  schema.date "birthday", mode: :required
end

#datetime

def datetime(name, description: nil, mode: :nullable, policy_tags: nil)

Adds a datetime field to the schema.

See Schema#datetime.

Parameters

name (String) — The field name. The name must contain only letters ([A-Za-z]), numbers ([0-9]), or underscores (_), and must start with a letter or underscore. The maximum length is 128 characters.
description (String) (defaults to: nil) — A description of the field.
mode (Symbol) (defaults to: :nullable) — The field's mode. The possible values are :nullable, :required, and :repeated. The default value is :nullable.
policy_tags (Array<String>, String) (defaults to: nil) — The policy tag list or single policy tag for the field. Policy tag identifiers are of the form projects/*/locations/*/taxonomies/*/policyTags/*. At most 1 policy tag is currently allowed.

Example

require "google/cloud/bigquery"

bigquery = Google::Cloud::Bigquery.new
dataset = bigquery.dataset "my_dataset"
job = dataset.load_job "my_table", "gs://abc/file" do |schema|
  schema.datetime "target_end", mode: :required
end

#delimiter=

def delimiter=(val)

Sets the separator for fields in a CSV file.

Parameter

val (String) — 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 ,.

#encoding=

def encoding=(val)

Sets the character encoding of the data.

Parameter

val (String) — The character encoding of the data. The supported values are UTF-8 or ISO-8859-1. The default value is UTF-8.

#encryption=

def encryption=(val)

Sets the encryption configuration of the destination table.

Parameter

val (Google::Cloud::BigQuery::EncryptionConfiguration) — Custom encryption configuration (e.g., Cloud KMS keys).

Example

require "google/cloud/bigquery"

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

key_name = "projects/a/locations/b/keyRings/c/cryptoKeys/d"
encrypt_config = bigquery.encryption kms_key: key_name
job = dataset.load_job "my_table", "gs://abc/file" do |job|
  job.encryption = encrypt_config
end

#float

def float(name, description: nil, mode: :nullable, policy_tags: nil)

Adds a floating-point number field to the schema.

See Schema#float.

Parameters

name (String) — The field name. The name must contain only letters ([A-Za-z]), numbers ([0-9]), or underscores (_), and must start with a letter or underscore. The maximum length is 128 characters.
description (String) (defaults to: nil) — A description of the field.
mode (Symbol) (defaults to: :nullable) — The field's mode. The possible values are :nullable, :required, and :repeated. The default value is :nullable.
policy_tags (Array<String>, String) (defaults to: nil) — The policy tag list or single policy tag for the field. Policy tag identifiers are of the form projects/*/locations/*/taxonomies/*/policyTags/*. At most 1 policy tag is currently allowed.

Example

require "google/cloud/bigquery"

bigquery = Google::Cloud::Bigquery.new
dataset = bigquery.dataset "my_dataset"
job = dataset.load_job "my_table", "gs://abc/file" do |schema|
  schema.float "price", mode: :required
end

#format=

def format=(new_format)

Sets the source file format. The default value is csv.

The following values are supported:

csv - CSV
json - Newline-delimited JSON
avro - Avro
orc - ORC
parquet - Parquet
datastore_backup - Cloud Datastore backup

Parameter

new_format (String) — The new source format.

#geography

def geography(name, description: nil, mode: :nullable, policy_tags: nil)

Adds a geography field to the schema.

See Schema#geography.

Parameters

name (String) — The field name. The name must contain only letters ([A-Za-z]), numbers ([0-9]), or underscores (_), and must start with a letter or underscore. The maximum length is 128 characters.
description (String) (defaults to: nil) — A description of the field.
mode (Symbol) (defaults to: :nullable) — The field's mode. The possible values are :nullable, :required, and :repeated. The default value is :nullable.
policy_tags (Array<String>, String) (defaults to: nil) — The policy tag list or single policy tag for the field. Policy tag identifiers are of the form projects/*/locations/*/taxonomies/*/policyTags/*. At most 1 policy tag is currently allowed.

Example

require "google/cloud/bigquery"

bigquery = Google::Cloud::Bigquery.new
dataset = bigquery.dataset "my_dataset"
job = dataset.load_job "my_table", "gs://abc/file" do |schema|
  schema.record "cities_lived", mode: :repeated do |cities_lived|
    cities_lived.geography "location", mode: :required
    cities_lived.integer "number_of_years", mode: :required
  end
end

#hive_partitioning_mode=

def hive_partitioning_mode=(mode)

Sets the mode of hive partitioning to use when reading data. The following modes are supported:

auto: automatically infer partition key name(s) and type(s).
strings: automatically infer partition key name(s). All types are interpreted as strings.
custom: partition key schema is encoded in the source URI prefix.

Not all storage formats support hive partitioning. Requesting hive partitioning on an unsupported format will lead to an error. Currently supported types include: avro, csv, json, orc and parquet.

See #format= and #hive_partitioning_source_uri_prefix=.

Parameter

mode (String, Symbol) — The mode of hive partitioning to use when reading data.

Example

require "google/cloud/bigquery"

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

gcs_uri = "gs://cloud-samples-data/bigquery/hive-partitioning-samples/autolayout/*"
source_uri_prefix = "gs://cloud-samples-data/bigquery/hive-partitioning-samples/autolayout/"
load_job = dataset.load_job "my_new_table", gcs_uri do |job|
  job.format = :parquet
  job.hive_partitioning_mode = :auto
  job.hive_partitioning_source_uri_prefix = source_uri_prefix
end

load_job.wait_until_done!
load_job.done? #=> true

#hive_partitioning_source_uri_prefix=

def hive_partitioning_source_uri_prefix=(source_uri_prefix)

Sets the common prefix for all source uris when hive partition detection is requested. The prefix must end immediately before the partition key encoding begins. For example, consider files following this data layout:

gs://bucket/path_to_table/dt=2019-01-01/country=BR/id=7/file.avro gs://bucket/path_to_table/dt=2018-12-31/country=CA/id=3/file.avro

When hive partitioning is requested with either AUTO or STRINGS mode, the common prefix can be either of gs://bucket/path_to_table or gs://bucket/path_to_table/ (trailing slash does not matter).

See #hive_partitioning_mode=.

Parameter

source_uri_prefix (String) — The common prefix for all source uris.

Example

require "google/cloud/bigquery"

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

gcs_uri = "gs://cloud-samples-data/bigquery/hive-partitioning-samples/autolayout/*"
source_uri_prefix = "gs://cloud-samples-data/bigquery/hive-partitioning-samples/autolayout/"
load_job = dataset.load_job "my_new_table", gcs_uri do |job|
  job.format = :parquet
  job.hive_partitioning_mode = :auto
  job.hive_partitioning_source_uri_prefix = source_uri_prefix
end

load_job.wait_until_done!
load_job.done? #=> true

#ignore_unknown=

def ignore_unknown=(val)

Allows unknown columns to be ignored.

Parameter

val (Boolean) —
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

#integer

def integer(name, description: nil, mode: :nullable, policy_tags: nil)

Adds an integer field to the schema.

See Schema#integer.

Parameters

name (String) — The field name. The name must contain only letters ([A-Za-z]), numbers ([0-9]), or underscores (_), and must start with a letter or underscore. The maximum length is 128 characters.
description (String) (defaults to: nil) — A description of the field.
mode (Symbol) (defaults to: :nullable) — The field's mode. The possible values are :nullable, :required, and :repeated. The default value is :nullable.
policy_tags (Array<String>, String) (defaults to: nil) — The policy tag list or single policy tag for the field. Policy tag identifiers are of the form projects/*/locations/*/taxonomies/*/policyTags/*. At most 1 policy tag is currently allowed.

Example

require "google/cloud/bigquery"

bigquery = Google::Cloud::Bigquery.new
dataset = bigquery.dataset "my_dataset"
job = dataset.load_job "my_table", "gs://abc/file" do |schema|
  schema.integer "age", mode: :required
end

#jagged_rows=

def jagged_rows=(val)

Sets flag for allowing 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.

Parameter

val (Boolean) — Accept rows that are missing trailing optional columns.

#labels=

def labels=(val)

Sets the labels to use for the load job.

Parameter

val (Hash) —
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.

#location=

def location=(value)

Sets the geographic location where the job should run. Required except for US and EU.

Parameter

value (String) — A geographic location, such as "US", "EU" or "asia-northeast1". Required except for US and EU.

Example

require "google/cloud/bigquery"

bigquery = Google::Cloud::Bigquery.new
dataset = bigquery.dataset "my_dataset"
job = dataset.load_job "my_table", "gs://abc/file" do |j|
  j.schema do |s|
    s.string "first_name", mode: :required
    s.record "cities_lived", mode: :repeated do |r|
      r.string "place", mode: :required
      r.integer "number_of_years", mode: :required
    end
  end
  j.location = "EU"
end

#max_bad_records=

def max_bad_records=(val)

Sets the maximum number of bad records that can be ignored.

Parameter

val (Integer) — The maximum number of bad records that BigQuery can ignore when running the job. If the number of bad records exceeds this value, an invalid error is returned in the job result. The default value is 0, which requires that all records are valid.

#null_marker=

def null_marker=(val)

Sets the string that represents a null value in a CSV file.

Parameter

val (String) — 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.

#numeric

def numeric(name, description: nil, mode: :nullable, policy_tags: nil, precision: nil, scale: nil)

Adds a numeric number field to the schema. NUMERIC is a decimal type with fixed precision and scale. Precision is the number of digits that the number contains. Scale is how many of these digits appear after the decimal point. It supports:

Precision: 38 Scale: 9 Min: -9.9999999999999999999999999999999999999E+28 Max: 9.9999999999999999999999999999999999999E+28

This type can represent decimal fractions exactly, and is suitable for financial calculations.

See Schema#numeric

Parameters

name (String) — The field name. The name must contain only letters ([A-Za-z]), numbers ([0-9]), or underscores (_), and must start with a letter or underscore. The maximum length is 128 characters.
description (String) (defaults to: nil) — A description of the field.
mode (Symbol) (defaults to: :nullable) — The field's mode. The possible values are :nullable, :required, and :repeated. The default value is :nullable.
policy_tags (Array<String>, String) (defaults to: nil) — The policy tag list or single policy tag for the field. Policy tag identifiers are of the form projects/*/locations/*/taxonomies/*/policyTags/*. At most 1 policy tag is currently allowed.
precision (Integer) (defaults to: nil) — The precision (maximum number of total digits) for the field. Acceptable values for precision must be: 1 ≤ (precision - scale) ≤ 29. Values for scale must be: 0 ≤ scale ≤ 9. If the scale value is set, the precision value must be set as well.
scale (Integer) (defaults to: nil) — The scale (maximum number of digits in the fractional part) for the field. Acceptable values for precision must be: 1 ≤ (precision - scale) ≤ 29. Values for scale must be: 0 ≤ scale ≤ 9. If the scale value is set, the precision value must be set as well.

Example

require "google/cloud/bigquery"

bigquery = Google::Cloud::Bigquery.new
dataset = bigquery.dataset "my_dataset"
job = dataset.load_job "my_table", "gs://abc/file" do |schema|
  schema.numeric "total_cost", mode: :required
end

#parquet_enable_list_inference=

def parquet_enable_list_inference=(enable_list_inference)

Sets whether to use schema inference specifically for Parquet LIST logical type.

Parameter

enable_list_inference (Boolean) — The enable_list_inference value to use in Parquet options.

Example

require "google/cloud/bigquery"

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

gcs_uris = ["gs://mybucket/00/*.parquet", "gs://mybucket/01/*.parquet"]
load_job = dataset.load_job "my_new_table", gcs_uris do |job|
  job.format = :parquet
  job.parquet_enable_list_inference = true
end

load_job.wait_until_done!
load_job.done? #=> true

#parquet_enum_as_string=

def parquet_enum_as_string=(enum_as_string)

Sets whether to infer Parquet ENUM logical type as STRING instead of BYTES by default.

Parameter

enum_as_string (Boolean) — The enum_as_string value to use in Parquet options.

Example

require "google/cloud/bigquery"

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

gcs_uris = ["gs://mybucket/00/*.parquet", "gs://mybucket/01/*.parquet"]
load_job = dataset.load_job "my_new_table", gcs_uris do |job|
  job.format = :parquet
  job.parquet_enum_as_string = true
end

load_job.wait_until_done!
load_job.done? #=> true

#projection_fields=

def projection_fields=(new_fields)

Sets the 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.

Parameter

new_fields (Array<String>) — The new projection fields.

#quote=

def quote=(val)

Sets the character to use to quote string values in CSVs.

Parameter

val (String) — The value that is used to quote data sections in a CSV file. BigQuery converts the string to ISO-8859-1 encoding, and then uses the first byte of the encoded string to split the data in its raw, binary state. The default value is a double-quote ". If your data does not contain quoted sections, set the property value to an empty string. If your data contains quoted newline characters, you must also set the allowQuotedNewlines property to true.

#quoted_newlines=

def quoted_newlines=(val)

Allows quoted data sections to contain newline characters in CSV.

Parameter

val (Boolean) — Indicates if BigQuery should allow quoted data sections that contain newline characters in a CSV file. The default value is false.

#range_partitioning_end=

def range_partitioning_end=(range_end)

Sets the end of range partitioning, exclusive, for the destination table. See Creating and using integer range partitioned tables.

You can only set range partitioning when creating a table. BigQuery does not allow you to change partitioning on an existing table.

See #range_partitioning_start=, #range_partitioning_interval= and #range_partitioning_field=.

Parameter

range_end (Integer) — The end of range partitioning, exclusive.

Example

require "google/cloud/bigquery"

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

gcs_uri = "gs://my-bucket/file-name.csv"
load_job = dataset.load_job "my_new_table", gcs_uri do |job|
  job.schema do |schema|
    schema.integer "my_table_id", mode: :required
    schema.string "my_table_data", mode: :required
  end
  job.range_partitioning_field = "my_table_id"
  job.range_partitioning_start = 0
  job.range_partitioning_interval = 10
  job.range_partitioning_end = 100
end

load_job.wait_until_done!
load_job.done? #=> true

#range_partitioning_field=

def range_partitioning_field=(field)

Sets the field on which to range partition the table. See Creating and using integer range partitioned tables.

See #range_partitioning_start=, #range_partitioning_interval= and #range_partitioning_end=.

You can only set range partitioning when creating a table. BigQuery does not allow you to change partitioning on an existing table.

Parameter

field (String) — The range partition field. the destination table is partitioned by this field. The field must be a top-level NULLABLE/REQUIRED field. The only supported type is INTEGER/INT64.

Example

require "google/cloud/bigquery"

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

gcs_uri = "gs://my-bucket/file-name.csv"
load_job = dataset.load_job "my_new_table", gcs_uri do |job|
  job.schema do |schema|
    schema.integer "my_table_id", mode: :required
    schema.string "my_table_data", mode: :required
  end
  job.range_partitioning_field = "my_table_id"
  job.range_partitioning_start = 0
  job.range_partitioning_interval = 10
  job.range_partitioning_end = 100
end

load_job.wait_until_done!
load_job.done? #=> true

#range_partitioning_interval=

def range_partitioning_interval=(range_interval)

Sets width of each interval for data in range partitions. See Creating and using integer range partitioned tables.

You can only set range partitioning when creating a table. BigQuery does not allow you to change partitioning on an existing table.

See #range_partitioning_field=, #range_partitioning_start= and #range_partitioning_end=.

Parameter

range_interval (Integer) — The width of each interval, for data in partitions.

Example

require "google/cloud/bigquery"

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

gcs_uri = "gs://my-bucket/file-name.csv"
load_job = dataset.load_job "my_new_table", gcs_uri do |job|
  job.schema do |schema|
    schema.integer "my_table_id", mode: :required
    schema.string "my_table_data", mode: :required
  end
  job.range_partitioning_field = "my_table_id"
  job.range_partitioning_start = 0
  job.range_partitioning_interval = 10
  job.range_partitioning_end = 100
end

load_job.wait_until_done!
load_job.done? #=> true

#range_partitioning_start=

def range_partitioning_start=(range_start)

Sets the start of range partitioning, inclusive, for the destination table. See Creating and using integer range partitioned tables.

You can only set range partitioning when creating a table. BigQuery does not allow you to change partitioning on an existing table.

See #range_partitioning_field=, #range_partitioning_interval= and #range_partitioning_end=.

Parameter

range_start (Integer) — The start of range partitioning, inclusive.

Example

require "google/cloud/bigquery"

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

gcs_uri = "gs://my-bucket/file-name.csv"
load_job = dataset.load_job "my_new_table", gcs_uri do |job|
  job.schema do |schema|
    schema.integer "my_table_id", mode: :required
    schema.string "my_table_data", mode: :required
  end
  job.range_partitioning_field = "my_table_id"
  job.range_partitioning_start = 0
  job.range_partitioning_interval = 10
  job.range_partitioning_end = 100
end

load_job.wait_until_done!
load_job.done? #=> true

#record

def record(name, description: nil, mode: nil, &block) { |nested_schema| ... }

Adds a record field to the schema. A block must be passed describing the nested fields of the record. For more information about nested and repeated records, see Loading denormalized, nested, and repeated data .

See Schema#record.

Parameters

name (String) — The field name. The name must contain only letters ([A-Za-z]), numbers ([0-9]), or underscores (_), and must start with a letter or underscore. The maximum length is 128 characters.
description (String) (defaults to: nil) — A description of the field.
mode (Symbol) (defaults to: nil) — The field's mode. The possible values are :nullable, :required, and :repeated. The default value is :nullable.

Yields

(nested_schema) — a block for setting the nested schema

Yield Parameter

nested_schema (Schema) — the object accepting the nested schema

Example

require "google/cloud/bigquery"

bigquery = Google::Cloud::Bigquery.new
dataset = bigquery.dataset "my_dataset"
job = dataset.load_job "my_table", "gs://abc/file" do |schema|
  schema.record "cities_lived", mode: :repeated do |cities_lived|
    cities_lived.string "place", mode: :required
    cities_lived.integer "number_of_years", mode: :required
  end
end

#refresh!

def refresh!()

Alias Of: #reload!

#reload!

def reload!()

Aliases

#refresh!

#rerun!

def rerun!()

#schema

def schema(replace: false) { |schema| ... } -> Google::Cloud::Bigquery::Schema

Returns the table's schema. This method can also be used to set, replace, or add to the schema by passing a block. See Schema for available methods.

Parameter

replace (Boolean) (defaults to: false) — Whether to replace the existing schema with the new schema. If true, the fields will replace the existing schema. If false, the fields will be added to the existing schema. When a table already contains data, schema changes must be additive. Thus, the default value is false.

Yields

(schema) — a block for setting the schema

Yield Parameter

schema (Schema) — the object accepting the schema

Returns

(Google::Cloud::Bigquery::Schema)

Example

require "google/cloud/bigquery"

bigquery = Google::Cloud::Bigquery.new
dataset = bigquery.dataset "my_dataset"
job = dataset.load_job "my_table", "gs://abc/file" do |j|
  j.schema do |s|
    s.string "first_name", mode: :required
    s.record "cities_lived", mode: :repeated do |r|
      r.string "place", mode: :required
      r.integer "number_of_years", mode: :required
    end
  end
end

#schema=

def schema=(new_schema)

Sets the schema of the destination table.

Parameter

new_schema (Google::Cloud::Bigquery::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 source that includes a schema, such as Avro or a Google Cloud Datastore backup.

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"
job = dataset.load_job "my_table", "gs://abc/file" do |j|
  j.schema = schema
end

#schema_update_options=

def schema_update_options=(new_options)

Sets the schema update options, which allow the schema of the destination table to be updated as a side effect of the load job if a schema is autodetected or supplied in the job configuration. Schema update options are supported in two cases: when write disposition is WRITE_APPEND; when write disposition is WRITE_TRUNCATE and the destination table is a partition of a table, specified by partition decorators. For normal tables, WRITE_TRUNCATE will always overwrite the schema. One or more of the following values are specified:

ALLOW_FIELD_ADDITION: allow adding a nullable field to the schema.
ALLOW_FIELD_RELAXATION: allow relaxing a required field in the original schema to nullable.

Parameter

new_options (Array<String>) — The new schema update options.

#skip_leading=

def skip_leading=(val)

Sets the number of leading rows to skip in the file.

Parameter

val (Integer) — 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.

#source_uris=

def source_uris=(new_uris)

Sets the source URIs to load.

The fully-qualified URIs that point to your data in Google Cloud.

For Google Cloud Storage URIs: Each URI can contain one '' wildcard character and it must come after the 'bucket' name. Size limits related to load jobs apply to external data sources. For
Google Cloud Bigtable URIs: Exactly one URI can be specified and it has be a fully specified and valid HTTPS URL for a Google Cloud Bigtable table.
For Google Cloud Datastore backups: Exactly one URI can be specified. Also, the '' wildcard character is not allowed.

Parameter

new_uris (Array<String>) — The new source URIs to load.

#string

def string(name, description: nil, mode: :nullable, policy_tags: nil, max_length: nil)

Adds a string field to the schema.

See Schema#string.

Parameters

name (String) — The field name. The name must contain only letters ([A-Za-z]), numbers ([0-9]), or underscores (_), and must start with a letter or underscore. The maximum length is 128 characters.
description (String) (defaults to: nil) — A description of the field.
mode (Symbol) (defaults to: :nullable) — The field's mode. The possible values are :nullable, :required, and :repeated. The default value is :nullable.
policy_tags (Array<String>, String) (defaults to: nil) — The policy tag list or single policy tag for the field. Policy tag identifiers are of the form projects/*/locations/*/taxonomies/*/policyTags/*. At most 1 policy tag is currently allowed.
max_length (Integer) (defaults to: nil) — The maximum UTF-8 length of strings allowed in the field.

Example

require "google/cloud/bigquery"

bigquery = Google::Cloud::Bigquery.new
dataset = bigquery.dataset "my_dataset"
job = dataset.load_job "my_table", "gs://abc/file" do |schema|
  schema.string "first_name", mode: :required
end

#time

def time(name, description: nil, mode: :nullable, policy_tags: nil)

Adds a time field to the schema.

See Schema#time.

Parameters

name (String) — The field name. The name must contain only letters ([A-Za-z]), numbers ([0-9]), or underscores (_), and must start with a letter or underscore. The maximum length is 128 characters.
description (String) (defaults to: nil) — A description of the field.
mode (Symbol) (defaults to: :nullable) — The field's mode. The possible values are :nullable, :required, and :repeated. The default value is :nullable.
policy_tags (Array<String>, String) (defaults to: nil) — The policy tag list or single policy tag for the field. Policy tag identifiers are of the form projects/*/locations/*/taxonomies/*/policyTags/*. At most 1 policy tag is currently allowed.

Example

require "google/cloud/bigquery"

bigquery = Google::Cloud::Bigquery.new
dataset = bigquery.dataset "my_dataset"
job = dataset.load_job "my_table", "gs://abc/file" do |schema|
  schema.time "duration", mode: :required
end

#time_partitioning_expiration=

def time_partitioning_expiration=(expiration)

Sets the time partition expiration for the destination table. See Partitioned Tables.

The destination table must also be time partitioned. See #time_partitioning_type=.

Parameter

expiration (Integer) — An expiration time, in seconds, for data in time partitions.

Example

require "google/cloud/bigquery"

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

gcs_uri = "gs://my-bucket/file-name.csv"
load_job = dataset.load_job "my_new_table", gcs_uri do |job|
  job.time_partitioning_type = "DAY"
  job.time_partitioning_expiration = 86_400
end

load_job.wait_until_done!
load_job.done? #=> true

#time_partitioning_field=

def time_partitioning_field=(field)

Sets the field on which to time partition the destination table. If not set, the destination table is time partitioned by pseudo column _PARTITIONTIME; if set, the table is time partitioned by this field. See Partitioned Tables.

The destination table must also be time partitioned. See #time_partitioning_type=.

You can only set the time partitioning field while creating a table. BigQuery does not allow you to change partitioning on an existing table.

Parameter

field (String) — The time partition field. The field must be a top-level TIMESTAMP or DATE field. Its mode must be NULLABLE or REQUIRED.

Example

require "google/cloud/bigquery"

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

gcs_uri = "gs://my-bucket/file-name.csv"
load_job = dataset.load_job "my_new_table", gcs_uri do |job|
  job.time_partitioning_type  = "DAY"
  job.time_partitioning_field = "dob"
  job.schema do |schema|
    schema.timestamp "dob", mode: :required
  end
end

load_job.wait_until_done!
load_job.done? #=> true

#time_partitioning_require_filter=

def time_partitioning_require_filter=(val)

If set to true, queries over the destination table will require a time partition filter that can be used for time partition elimination to be specified. See Partitioned Tables.

Parameter

val (Boolean) — Indicates if queries over the destination table will require a time partition filter. The default value is false.

#time_partitioning_type=

def time_partitioning_type=(type)

Sets the time partitioning for the destination table. See Partitioned Tables.

You can only set the time partitioning field while creating a table. BigQuery does not allow you to change partitioning on an existing table.

Parameter

type (String) — The time partition type. The supported types are DAY, HOUR, MONTH, and YEAR, which will generate one partition per day, hour, month, and year, respectively.

Example

require "google/cloud/bigquery"

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

gcs_uri = "gs://my-bucket/file-name.csv"
load_job = dataset.load_job "my_new_table", gcs_uri do |job|
  job.time_partitioning_type = "DAY"
end

load_job.wait_until_done!
load_job.done? #=> true

#timestamp

def timestamp(name, description: nil, mode: :nullable, policy_tags: nil)

Adds a timestamp field to the schema.

See Schema#timestamp.

Parameters

name (String) — The field name. The name must contain only letters ([A-Za-z]), numbers ([0-9]), or underscores (_), and must start with a letter or underscore. The maximum length is 128 characters.
description (String) (defaults to: nil) — A description of the field.
mode (Symbol) (defaults to: :nullable) — The field's mode. The possible values are :nullable, :required, and :repeated. The default value is :nullable.
policy_tags (Array<String>, String) (defaults to: nil) — The policy tag list or single policy tag for the field. Policy tag identifiers are of the form projects/*/locations/*/taxonomies/*/policyTags/*. At most 1 policy tag is currently allowed.

Example

require "google/cloud/bigquery"

bigquery = Google::Cloud::Bigquery.new
dataset = bigquery.dataset "my_dataset"
job = dataset.load_job "my_table", "gs://abc/file" do |schema|
  schema.timestamp "creation_date", mode: :required
end

#updates

def updates()

A list of attributes that were updated.

#wait_until_done!

def wait_until_done!()

#write=

def write=(new_write)

Sets the write disposition.

This 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.

Parameter

new_write (String) — The new write disposition.