google-cloud-bigquery - Class Google::Cloud::Bigquery::LoadJob (v1.38.1)

Reference documentation and code samples for the google-cloud-bigquery class Google::Cloud::Bigquery::LoadJob.

LoadJob

A Job subclass representing a load operation that may be performed on a Table. A LoadJob instance is created when you call Table#load_job.

Inherits

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 |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

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

Methods

#allow_jagged_rows?

def allow_jagged_rows?() -> Boolean

Checks if the load operation accepts 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 error is returned. The default value is false. Only applicable to CSV, ignored for other formats.

Returns
  • (Boolean) — true when jagged rows are allowed, false otherwise.

#autodetect?

def autodetect?() -> Boolean

Checks if BigQuery should automatically infer the options and schema for CSV and JSON sources. The default is false.

Returns
  • (Boolean) — true when autodetect is enabled, false otherwise.

#backup?

def backup?() -> Boolean

Checks if the source data is a Google Cloud Datastore backup.

Returns
  • (Boolean) — true when the source format is DATASTORE_BACKUP, false otherwise.

#clustering?

def clustering?() -> Boolean

Checks if the destination table will be clustered.

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

Returns
  • (Boolean) — true when the table will be clustered, or false otherwise.

#clustering_fields

def clustering_fields() -> Array<String>, nil

One or more fields on which the destination table should be clustered. Must be specified with time-based partitioning, data in the table will be first partitioned and subsequently clustered. The order of the returned fields determines the sort order of the data.

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

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

Returns
  • (Array<String>, nil) — The clustering fields, or nil if the destination table will not be clustered.

#csv?

def csv?() -> Boolean

Checks if the format of the source data is CSV. The default is true.

Returns
  • (Boolean) — true when the source format is CSV, false otherwise.

#delimiter

def delimiter() -> String

The delimiter used between fields in the source data. The default is a comma (,).

Returns
  • (String) — A string containing the character, such as ",".

#destination

def destination() -> Table

The table into which the operation loads data. This is the table on which Table#load_job was invoked.

Returns
  • (Table) — A table instance.

#encryption

def encryption() -> Google::Cloud::BigQuery::EncryptionConfiguration

The encryption configuration of the destination table.

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

#hive_partitioning?

def hive_partitioning?() -> Boolean

Checks if hive partitioning options are set.

Returns
  • (Boolean) — true when hive partitioning options are set, or false otherwise.

#hive_partitioning_mode

def hive_partitioning_mode() -> String, nil

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

  1. AUTO: automatically infer partition key name(s) and type(s).
  2. STRINGS: automatically infer partition key name(s). All types are interpreted as strings.
  3. CUSTOM: partition key schema is encoded in the source URI prefix.
Returns
  • (String, nil) — The mode of hive partitioning, or nil if not set.

#hive_partitioning_source_uri_prefix

def hive_partitioning_source_uri_prefix() -> String, nil

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).

Returns
  • (String, nil) — The common prefix for all source uris, or nil if not set.

#ignore_unknown_values?

def ignore_unknown_values?() -> Boolean

Checks if the load operation allows 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. The default is false.

Returns
  • (Boolean) — true when unknown values are ignored, false otherwise.

#input_file_bytes

def input_file_bytes() -> Integer

The number of bytes of source data in the load job.

Returns
  • (Integer) — The number of bytes.

#input_files

def input_files() -> Integer

The number of source data files in the load job.

Returns
  • (Integer) — The number of source files.

#iso8859_1?

def iso8859_1?() -> Boolean

Checks if the character encoding of the data is ISO-8859-1.

Returns
  • (Boolean) — true when the character encoding is ISO-8859-1, false otherwise.

#json?

def json?() -> Boolean

Checks if the format of the source data is newline-delimited JSON. The default is false.

Returns
  • (Boolean) — true when the source format is NEWLINE_DELIMITED_JSON, false otherwise.

#max_bad_records

def max_bad_records() -> Integer

The maximum number of bad records that the load operation can ignore. If the number of bad records exceeds this value, an error is returned. The default value is 0, which requires that all records be valid.

Returns
  • (Integer) — The maximum number of bad records.

#null_marker

def null_marker() -> 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.

Returns
  • (String) — A string representing null value in a CSV file.

#orc?

def orc?() -> Boolean

Checks if the source format is ORC.

Returns
  • (Boolean) — true when the source format is ORC, false otherwise.

#output_bytes

def output_bytes() -> Integer

The number of bytes that have been loaded into the table. While an import job is in the running state, this value may change.

Returns
  • (Integer) — The number of bytes that have been loaded.

#output_rows

def output_rows() -> Integer

The number of rows that have been loaded into the table. While an import job is in the running state, this value may change.

Returns
  • (Integer) — The number of rows that have been loaded.

#parquet?

def parquet?() -> Boolean

Checks if the source format is Parquet.

Returns
  • (Boolean) — true when the source format is PARQUET, false otherwise.

#parquet_enable_list_inference?

def parquet_enable_list_inference?() -> Boolean, nil

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

Returns
  • (Boolean, nil) — The enable_list_inference value in Parquet options, or nil if Parquet options are not set.

#parquet_enum_as_string?

def parquet_enum_as_string?() -> Boolean, nil

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

Returns
  • (Boolean, nil) — The enum_as_string value in Parquet options, or nil if Parquet options are not set.

#parquet_options?

def parquet_options?() -> Boolean

Checks if Parquet options are set.

Returns
  • (Boolean) — true when Parquet options are set, or false otherwise.

#quote

def quote() -> String

The value that is used to quote data sections in a CSV file. The default value is a double-quote ("). If your data does not contain quoted sections, the value should be an empty string. If your data contains quoted newline characters, #quoted_newlines? should return true.

Returns
  • (String) — A string containing the character, such as "\"".

#quoted_newlines?

def quoted_newlines?() -> Boolean

Checks if quoted data sections may contain newline characters in a CSV file. The default is false.

Returns
  • (Boolean) — true when quoted newlines are allowed, false otherwise.

#range_partitioning?

def range_partitioning?() -> Boolean

Checks if the destination table will be range partitioned. See Creating and using integer range partitioned tables.

Returns
  • (Boolean) — true when the table is range partitioned, or false otherwise.

#range_partitioning_end

def range_partitioning_end() -> Integer, nil

The end of range partitioning, exclusive. See Creating and using integer range partitioned tables.

Returns
  • (Integer, nil) — The end of range partitioning, exclusive, or nil if not range partitioned.

#range_partitioning_field

def range_partitioning_field() -> String, nil

The field on which the destination table will be range partitioned, if any. The field must be a top-level NULLABLE/REQUIRED field. The only supported type is INTEGER/INT64. See Creating and using integer range partitioned tables.

Returns
  • (String, nil) — The partition field, if a field was configured, or nil if not range partitioned.

#range_partitioning_interval

def range_partitioning_interval() -> Integer, nil

The width of each interval. See Creating and using integer range partitioned tables.

Returns
  • (Integer, nil) — The width of each interval, for data in range partitions, or nil if not range partitioned.

#range_partitioning_start

def range_partitioning_start() -> Integer, nil

The start of range partitioning, inclusive. See Creating and using integer range partitioned tables.

Returns
  • (Integer, nil) — The start of range partitioning, inclusive, or nil if not range partitioned.

#schema

def schema() -> Schema, nil

The schema for the destination table. The schema can be omitted if the destination table already exists, or if you're loading data from Google Cloud Datastore.

The returned object is frozen and changes are not allowed. Use Table#schema to update the schema.

Returns
  • (Schema, nil) — A schema object, or nil.

#schema_update_options

def schema_update_options() -> Array<String>

Allows 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.
Returns
  • (Array<String>) — An array of strings.

#skip_leading_rows

def skip_leading_rows() -> 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.

Returns
  • (Integer) — The number of header rows at the top of a CSV file to skip.

#sources

def sources()

The URI or URIs representing the Google Cloud Storage files from which the operation loads data.

#time_partitioning?

def time_partitioning?() -> Boolean

Checks if the destination table will be time partitioned. See Partitioned Tables.

Returns
  • (Boolean) — true when the table will be time-partitioned, or false otherwise.

#time_partitioning_expiration

def time_partitioning_expiration() -> Integer, nil

The expiration for the destination table time partitions, if any, in seconds. See Partitioned Tables.

Returns
  • (Integer, nil) — The expiration time, in seconds, for data in time partitions, or nil if not present.

#time_partitioning_field

def time_partitioning_field() -> String, nil

The field on which the destination table will be time partitioned, if any. If not set, the destination table will be time partitioned by pseudo column _PARTITIONTIME; if set, the table will be time partitioned by this field. See Partitioned Tables.

Returns
  • (String, nil) — The time partition field, if a field was configured. nil if not time partitioned or not set (partitioned by pseudo column '_PARTITIONTIME').

#time_partitioning_require_filter?

def time_partitioning_require_filter?() -> Boolean

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

Returns
  • (Boolean) — true when a time partition filter will be required, or false otherwise.

#time_partitioning_type

def time_partitioning_type() -> String, nil

The period for which the destination table will be time partitioned, if any. See Partitioned Tables.

Returns
  • (String, nil) — 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; or nil if not present.

#utf8?

def utf8?() -> Boolean

Checks if the character encoding of the data is UTF-8. This is the default.

Returns
  • (Boolean) — true when the character encoding is UTF-8, false otherwise.