Class: Fluent::BigQuery::Writer
- Inherits:
-
Object
- Object
- Fluent::BigQuery::Writer
- Defined in:
- lib/fluent/plugin/bigquery/writer.rb
Instance Method Summary collapse
- #client ⇒ Object
- #create_load_job(project, dataset, table_id, upload_source, job_id, fields, ignore_unknown_values: false, max_bad_records: 0, timeout_sec: nil, open_timeout_sec: 60, auto_create_table: nil, time_partitioning_type: nil, time_partitioning_expiration: nil) ⇒ Object
- #create_table(project, dataset, table_id, record_schema, time_partitioning_type: nil, time_partitioning_expiration: nil) ⇒ Object
- #fetch_schema(project, dataset, table_id) ⇒ Object
-
#initialize(log, auth_method, auth_options = {}) ⇒ Writer
constructor
A new instance of Writer.
- #insert_rows(project, dataset, table_id, rows, skip_invalid_rows: false, ignore_unknown_values: false, template_suffix: nil, timeout_sec: nil, open_timeout_sec: 60) ⇒ Object
- #wait_load_job(project, dataset, job_id, table_id, retryable: true) ⇒ Object
Constructor Details
#initialize(log, auth_method, auth_options = {}) ⇒ Writer
Returns a new instance of Writer.
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# File 'lib/fluent/plugin/bigquery/writer.rb', line 4 def initialize(log, auth_method, = {}) @auth_method = auth_method @scope = "https://www.googleapis.com/auth/bigquery" @auth_options = @log = log @cached_client_expiration = Time.now + 1800 end |
Instance Method Details
#client ⇒ Object
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# File 'lib/fluent/plugin/bigquery/writer.rb', line 13 def client return @client if @client && @cached_client_expiration > Time.now client = Google::Apis::BigqueryV2::BigqueryService.new.tap do |cl| cl. = get_auth end @cached_client_expiration = Time.now + 1800 @client = client end |
#create_load_job(project, dataset, table_id, upload_source, job_id, fields, ignore_unknown_values: false, max_bad_records: 0, timeout_sec: nil, open_timeout_sec: 60, auto_create_table: nil, time_partitioning_type: nil, time_partitioning_expiration: nil) ⇒ Object
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# File 'lib/fluent/plugin/bigquery/writer.rb', line 107 def create_load_job(project, dataset, table_id, upload_source, job_id, fields, ignore_unknown_values: false, max_bad_records: 0, timeout_sec: nil, open_timeout_sec: 60, auto_create_table: nil, time_partitioning_type: nil, time_partitioning_expiration: nil) configuration = { configuration: { load: { destination_table: { project_id: project, dataset_id: dataset, table_id: table_id, }, schema: { fields: fields.to_a, }, write_disposition: "WRITE_APPEND", source_format: "NEWLINE_DELIMITED_JSON", ignore_unknown_values: ignore_unknown_values, max_bad_records: max_bad_records, } } } configuration[:configuration][:load].merge!(create_disposition: "CREATE_NEVER") if time_partitioning_type configuration.merge!({job_reference: {project_id: project, job_id: job_id}}) if job_id # If target table is already exist, omit schema configuration. # Because schema changing is easier. begin if client.get_table(project, dataset, table_id) configuration[:configuration][:load].delete(:schema) end rescue Google::Apis::ServerError, Google::Apis::ClientError, Google::Apis::AuthorizationError raise Fluent::BigQuery::UnRetryableError.new("Schema is empty") if fields.empty? end res = client.insert_job( project, configuration, { upload_source: upload_source, content_type: "application/octet-stream", options: { timeout_sec: timeout_sec, open_timeout_sec: open_timeout_sec, } } ) wait_load_job(project, dataset, res.job_reference.job_id, table_id) rescue Google::Apis::ServerError, Google::Apis::ClientError, Google::Apis::AuthorizationError => e @client = nil reason = e.respond_to?(:reason) ? e.reason : nil log.error "job.load API", project_id: project, dataset: dataset, table: table_id, code: e.status_code, message: e., reason: reason if auto_create_table && e.status_code == 404 && /Not Found: Table/i =~ e. # Table Not Found: Auto Create Table create_table(project, dataset, table_id, fields, time_partitioning_type: time_partitioning_type, time_partitioning_expiration: time_partitioning_expiration) raise "table created. send rows next time." end return wait_load_job(project, dataset, job_id, table_id) if job_id && e.status_code == 409 && e. =~ /Job/ # duplicate load job raise Fluent::BigQuery::Error.wrap(e) end |
#create_table(project, dataset, table_id, record_schema, time_partitioning_type: nil, time_partitioning_expiration: nil) ⇒ Object
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# File 'lib/fluent/plugin/bigquery/writer.rb', line 24 def create_table(project, dataset, table_id, record_schema, time_partitioning_type: nil, time_partitioning_expiration: nil) create_table_retry_limit = 3 create_table_retry_wait = 1 create_table_retry_count = 0 table_id = safe_table_id(table_id) begin definition = { table_reference: { table_id: table_id, }, schema: { fields: record_schema.to_a, } } if time_partitioning_type definition[:time_partitioning] = { type: time_partitioning_type.to_s.upcase, expiration_ms: time_partitioning_expiration ? time_partitioning_expiration * 1000 : nil }.compact end client.insert_table(project, dataset, definition, {}) log.debug "create table", project_id: project, dataset: dataset, table: table_id @client = nil rescue Google::Apis::ServerError, Google::Apis::ClientError, Google::Apis::AuthorizationError => e @client = nil = e. if e.status_code == 409 && /Already Exists:/ =~ log.debug "already created table", project_id: project, dataset: dataset, table: table_id # ignore 'Already Exists' error return end reason = e.respond_to?(:reason) ? e.reason : nil log.error "tables.insert API", project_id: project, dataset: dataset, table: table_id, code: e.status_code, message: , reason: reason if Fluent::BigQuery::Error.retryable_error_reason?(reason) && create_table_retry_count < create_table_retry_limit sleep create_table_retry_wait create_table_retry_wait *= 2 create_table_retry_count += 1 retry else raise Fluent::BigQuery::UnRetryableError.new("failed to create table in bigquery", e) end end end |
#fetch_schema(project, dataset, table_id) ⇒ Object
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# File 'lib/fluent/plugin/bigquery/writer.rb', line 73 def fetch_schema(project, dataset, table_id) res = client.get_table(project, dataset, table_id) schema = res.schema.fields.as_json log.debug "Load schema from BigQuery: #{project}:#{dataset}.#{table_id} #{schema}" schema rescue Google::Apis::ServerError, Google::Apis::ClientError, Google::Apis::AuthorizationError => e @client = nil = e. log.error "tables.get API", project_id: project, dataset: dataset, table: table_id, code: e.status_code, message: nil end |
#insert_rows(project, dataset, table_id, rows, skip_invalid_rows: false, ignore_unknown_values: false, template_suffix: nil, timeout_sec: nil, open_timeout_sec: 60) ⇒ Object
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# File 'lib/fluent/plugin/bigquery/writer.rb', line 86 def insert_rows(project, dataset, table_id, rows, skip_invalid_rows: false, ignore_unknown_values: false, template_suffix: nil, timeout_sec: nil, open_timeout_sec: 60) body = { rows: rows, skip_invalid_rows: skip_invalid_rows, ignore_unknown_values: ignore_unknown_values, } body.merge!(template_suffix: template_suffix) if template_suffix res = client.insert_all_table_data(project, dataset, table_id, body, { options: {timeout_sec: timeout_sec, open_timeout_sec: open_timeout_sec} }) log.debug "insert rows", project_id: project, dataset: dataset, table: table_id, count: rows.size log.warn "insert errors", project_id: project, dataset: dataset, table: table_id, insert_errors: res.insert_errors.to_s if res.insert_errors && !res.insert_errors.empty? rescue Google::Apis::ServerError, Google::Apis::ClientError, Google::Apis::AuthorizationError => e @client = nil reason = e.respond_to?(:reason) ? e.reason : nil log.error "tabledata.insertAll API", project_id: project, dataset: dataset, table: table_id, code: e.status_code, message: e., reason: reason raise Fluent::BigQuery::Error.wrap(e) end |
#wait_load_job(project, dataset, job_id, table_id, retryable: true) ⇒ Object
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# File 'lib/fluent/plugin/bigquery/writer.rb', line 169 def wait_load_job(project, dataset, job_id, table_id, retryable: true) wait_interval = 10 _response = client.get_job(project, job_id) until _response.status.state == "DONE" log.debug "wait for load job finish", state: _response.status.state, job_id: _response.job_reference.job_id sleep wait_interval _response = client.get_job(project, _response.job_reference.job_id) end errors = _response.status.errors if errors errors.each do |e| log.error "job.insert API (rows)", job_id: job_id, project_id: project, dataset: dataset, table: table_id, message: e., reason: e.reason end end error_result = _response.status.error_result if error_result log.error "job.insert API (result)", job_id: job_id, project_id: project, dataset: dataset, table: table_id, message: error_result., reason: error_result.reason if retryable && Fluent::BigQuery::Error.retryable_error_reason?(error_result.reason) raise Fluent::BigQuery::RetryableError.new("failed to load into bigquery, retry") else raise Fluent::BigQuery::UnRetryableError.new("failed to load into bigquery, and cannot retry") end end log.debug "finish load job", state: _response.status.state end |