module Fluent module BigQuery class Writer def initialize(log, auth_method, options = {}) @auth_method = auth_method @scope = "https://www.googleapis.com/auth/bigquery" @options = options @log = log @num_errors_per_chunk = {} @cached_client_expiration = Time.now + 1800 end def client return @client if @client && @cached_client_expiration > Time.now client = Google::Apis::BigqueryV2::BigqueryService.new.tap do |cl| cl.authorization = get_auth end @cached_client_expiration = Time.now + 1800 @client = client end def create_table(project, dataset, table_id, record_schema) 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 @options[:time_partitioning_type] definition[:time_partitioning] = { type: @options[:time_partitioning_type].to_s.upcase, expiration_ms: @options[:time_partitioning_expiration] ? @options[: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 message = e.message if e.status_code == 409 && /Already Exists:/ =~ message 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: 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 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 message = e.message log.error "tables.get API", project_id: project, dataset: dataset, table: table_id, code: e.status_code, message: message nil end def insert_rows(project, dataset, table_id, rows, template_suffix: nil) body = { rows: rows, skip_invalid_rows: @options[:skip_invalid_rows], ignore_unknown_values: @options[: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: @options[:timeout_sec], open_timeout_sec: @options[:open_timeout_sec]} }) log.debug "insert rows", project_id: project, dataset: dataset, table: table_id, count: rows.size if res.insert_errors && !res.insert_errors.empty? log.warn "insert errors", project_id: project, dataset: dataset, table: table_id, insert_errors: res.insert_errors.to_s if @options[:allow_retry_insert_errors] is_included_any_retryable_insert_error = res.insert_errors.any? do |insert_error| insert_error.errors.any? { |error| Fluent::BigQuery::Error.retryable_insert_errors_reason?(error.reason) } end if is_included_any_retryable_insert_error raise Fluent::BigQuery::RetryableError.new("failed to insert into bigquery(insert errors), retry") else raise Fluent::BigQuery::UnRetryableError.new("failed to insert into bigquery(insert errors), and cannot retry") end end end 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.message, reason: reason raise Fluent::BigQuery::Error.wrap(e) end def create_load_job(chunk_id, project, dataset, table_id, upload_source, fields) 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: @options[:ignore_unknown_values], max_bad_records: @options[:max_bad_records], } } } job_id = create_job_id(chunk_id, dataset, table_id, fields.to_a) if @options[:prevent_duplicate_load] configuration[:configuration][:load].merge!(create_disposition: "CREATE_NEVER") if @options[: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: @options[:timeout_sec], open_timeout_sec: @options[:open_timeout_sec], } } ) wait_load_job(chunk_id, project, dataset, res.job_reference.job_id, table_id) @num_errors_per_chunk.delete(chunk_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.message, reason: reason if @options[:auto_create_table] && e.status_code == 404 && /Not Found: Table/i =~ e.message # Table Not Found: Auto Create Table create_table( project, dataset, table_id, fields, ) raise "table created. send rows next time." end if job_id && e.status_code == 409 && e.message =~ /Job/ # duplicate load job wait_load_job(chunk_id, project, dataset, job_id, table_id) @num_errors_per_chunk.delete(chunk_id) return end raise Fluent::BigQuery::Error.wrap(e) end def wait_load_job(chunk_id, project, dataset, job_id, table_id) 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.message, 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.message, reason: error_result.reason if Fluent::BigQuery::Error.retryable_error_reason?(error_result.reason) @num_errors_per_chunk[chunk_id] = @num_errors_per_chunk[chunk_id].to_i + 1 raise Fluent::BigQuery::RetryableError.new("failed to load into bigquery, retry") else @num_errors_per_chunk.delete(chunk_id) 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 private def log @log end def get_auth case @auth_method when :private_key get_auth_from_private_key when :compute_engine get_auth_from_compute_engine when :json_key get_auth_from_json_key when :application_default get_auth_from_application_default else raise ConfigError, "Unknown auth method: #{@auth_method}" end end def get_auth_from_private_key require 'google/api_client/auth/key_utils' private_key_path = @options[:private_key_path] private_key_passphrase = @options[:private_key_passphrase] email = @options[:email] key = Google::APIClient::KeyUtils.load_from_pkcs12(private_key_path, private_key_passphrase) Signet::OAuth2::Client.new( token_credential_uri: "https://accounts.google.com/o/oauth2/token", audience: "https://accounts.google.com/o/oauth2/token", scope: @scope, issuer: email, signing_key: key ) end def get_auth_from_compute_engine Google::Auth::GCECredentials.new end def get_auth_from_json_key json_key = @options[:json_key] begin JSON.parse(json_key) key = StringIO.new(json_key) Google::Auth::ServiceAccountCredentials.make_creds(json_key_io: key, scope: @scope) rescue JSON::ParserError key = json_key File.open(json_key) do |f| Google::Auth::ServiceAccountCredentials.make_creds(json_key_io: f, scope: @scope) end end end def get_auth_from_application_default Google::Auth.get_application_default([@scope]) end def safe_table_id(table_id) table_id.gsub(/\$\d+$/, "") end def create_job_id(chunk_id, dataset, table, schema) job_id_key = "#{chunk_id}#{dataset}#{table}#{schema.to_s}#{@options[:max_bad_records]}#{@options[:ignore_unknown_values]}#{@num_errors_per_chunk[chunk_id]}" @log.debug "job_id_key: #{job_id_key}" "fluentd_job_" + Digest::SHA1.hexdigest(job_id_key) end end end end