ruby

Building Efficient Data Export Systems in Rails: Memory-Optimized Solutions for Large Datasets

Master data export with Rails streaming CSV, background jobs for large datasets, multi-format support, and real-time progress tracking. Build memory-efficient exports that handle millions of records seamlessly.

Building Efficient Data Export Systems in Rails: Memory-Optimized Solutions for Large Datasets

Data export functionality represents one of the most critical features in modern web applications. Users expect seamless access to their data in various formats, while administrators need efficient ways to extract information for reporting and analysis. I’ve spent considerable time working with Rails applications that handle massive datasets, and I’ve learned that building efficient data export systems requires careful consideration of memory usage, processing time, and user experience.

Streaming CSV Exports with Minimal Memory Footprint

Traditional export approaches often load entire datasets into memory before processing, causing severe performance issues with large datasets. Streaming exports solve this problem by processing data in small chunks and writing directly to the response stream.

class StreamingCsvExporter
  def initialize(model_class, options = {})
    @model_class = model_class
    @batch_size = options[:batch_size] || 1000
    @filters = options[:filters] || {}
    @columns = options[:columns] || @model_class.column_names
    @headers = options[:headers] || @columns.map(&:humanize)
  end

  def stream_to_response(response)
    response.headers['Content-Type'] = 'text/csv'
    response.headers['Content-Disposition'] = "attachment; filename=\"#{filename}\""
    response.headers['Cache-Control'] = 'no-cache'
    
    write_headers(response)
    stream_data(response)
  end

  private

  def write_headers(response)
    response.stream.write(CSV.generate_line(@headers))
  end

  def stream_data(response)
    total_processed = 0
    
    query.find_in_batches(batch_size: @batch_size) do |batch|
      csv_batch = generate_csv_batch(batch)
      response.stream.write(csv_batch)
      total_processed += batch.size
      
      Rails.logger.info "Exported #{total_processed} records"
    end
  ensure
    response.stream.close
  end

  def generate_csv_batch(records)
    csv_string = String.new
    
    records.each do |record|
      row_data = @columns.map { |column| extract_column_value(record, column) }
      csv_string << CSV.generate_line(row_data)
    end
    
    csv_string
  end

  def extract_column_value(record, column)
    value = record.send(column)
    
    case value
    when Date, DateTime, Time
      value.strftime('%Y-%m-%d %H:%M:%S')
    when BigDecimal
      value.to_f
    when Hash, Array
      value.to_json
    else
      value.to_s
    end
  end

  def query
    @model_class.where(@filters).includes(association_includes)
  end

  def association_includes
    associations = []
    
    @columns.each do |column|
      if column.include?('.')
        association = column.split('.').first
        associations << association.to_sym
      end
    end
    
    associations.uniq
  end

  def filename
    timestamp = Time.current.strftime('%Y%m%d_%H%M%S')
    "#{@model_class.name.underscore}_export_#{timestamp}.csv"
  end
end

The controller implementation demonstrates how to integrate streaming exports with Rails responses:

class ExportsController < ApplicationController
  def users_csv
    exporter = StreamingCsvExporter.new(
      User,
      filters: filter_params,
      columns: %w[id email first_name last_name created_at status],
      batch_size: 2000
    )

    respond_to do |format|
      format.csv do
        exporter.stream_to_response(response)
      end
    end
  end

  private

  def filter_params
    filters = {}
    filters[:status] = params[:status] if params[:status].present?
    filters[:created_at] = date_range if params[:start_date].present?
    filters
  end

  def date_range
    start_date = Date.parse(params[:start_date])
    end_date = params[:end_date].present? ? Date.parse(params[:end_date]) : Date.current
    start_date..end_date
  end
end

This streaming approach maintains constant memory usage regardless of dataset size. I’ve used this technique to export millions of records while keeping memory consumption under 50MB.

Background Job Processing for Large Exports

Complex exports with multiple formats or extensive data processing benefit from background job processing. This approach prevents request timeouts and allows users to continue working while exports generate.

class BackgroundExportJob < ApplicationJob
  queue_as :exports

  def perform(export_request_id)
    @export_request = ExportRequest.find(export_request_id)
    @export_request.update!(status: 'processing', started_at: Time.current)

    begin
      export_file = generate_export
      upload_result = upload_to_storage(export_file)
      
      @export_request.update!(
        status: 'completed',
        completed_at: Time.current,
        file_url: upload_result[:url],
        file_size: File.size(export_file.path),
        record_count: @total_records
      )
      
      notify_user_completion
    rescue StandardError => e
      handle_export_failure(e)
    ensure
      cleanup_temporary_files
    end
  end

  private

  def generate_export
    case @export_request.format
    when 'csv'
      generate_csv_export
    when 'excel'
      generate_excel_export
    when 'pdf'
      generate_pdf_export
    when 'json'
      generate_json_export
    else
      raise "Unsupported format: #{@export_request.format}"
    end
  end

  def generate_csv_export
    temp_file = Tempfile.new(['export', '.csv'])
    csv = CSV.open(temp_file.path, 'w')
    
    write_csv_headers(csv)
    @total_records = 0

    query.find_in_batches(batch_size: 1000) do |batch|
      batch.each do |record|
        csv << format_csv_row(record)
        @total_records += 1
        
        update_progress if @total_records % 5000 == 0
      end
    end

    csv.close
    temp_file
  end

  def generate_excel_export
    temp_file = Tempfile.new(['export', '.xlsx'])
    package = Axlsx::Package.new
    workbook = package.workbook
    
    workbook.add_worksheet(name: @export_request.model_class) do |sheet|
      add_excel_headers(sheet)
      @total_records = 0

      query.find_in_batches(batch_size: 500) do |batch|
        batch.each do |record|
          sheet.add_row(format_excel_row(record))
          @total_records += 1
          
          update_progress if @total_records % 2000 == 0
        end
      end
    end

    package.serialize(temp_file.path)
    temp_file
  end

  def update_progress
    progress_percentage = calculate_progress_percentage
    
    @export_request.update!(
      progress_percentage: progress_percentage,
      processed_records: @total_records
    )
    
    broadcast_progress_update
  end

  def calculate_progress_percentage
    return 0 unless @export_request.estimated_record_count&.positive?
    
    [(@total_records.to_f / @export_request.estimated_record_count * 100).round(2), 100.0].min
  end

  def broadcast_progress_update
    ActionCable.server.broadcast(
      "export_progress_#{@export_request.user_id}",
      {
        export_id: @export_request.id,
        progress: @export_request.progress_percentage,
        processed_records: @total_records,
        status: 'processing'
      }
    )
  end

  def query
    model_class = @export_request.model_class.constantize
    base_query = model_class.all
    
    if @export_request.filters.present?
      @export_request.filters.each do |key, value|
        base_query = base_query.where(key => value)
      end
    end
    
    base_query.includes(required_associations)
  end

  def upload_to_storage(file)
    storage_key = "exports/#{@export_request.id}/#{@export_request.filename}"
    
    if Rails.application.config.active_storage.service == :amazon
      upload_to_s3(file, storage_key)
    else
      upload_to_local_storage(file)
    end
  end

  def upload_to_s3(file, key)
    s3_client = Aws::S3::Client.new
    
    s3_client.put_object(
      bucket: Rails.application.credentials.aws[:s3_bucket],
      key: key,
      body: File.read(file.path),
      content_type: content_type_for_format
    )
    
    {
      url: "https://#{Rails.application.credentials.aws[:s3_bucket]}.s3.amazonaws.com/#{key}",
      storage_type: 's3'
    }
  end

  def notify_user_completion
    ExportMailer.export_ready(@export_request).deliver_now
    
    ActionCable.server.broadcast(
      "export_progress_#{@export_request.user_id}",
      {
        export_id: @export_request.id,
        status: 'completed',
        download_url: @export_request.file_url
      }
    )
  end
end

The ExportRequest model manages export metadata and status tracking:

class ExportRequest < ApplicationRecord
  belongs_to :user
  
  validates :model_class, :format, :status, presence: true
  validates :format, inclusion: { in: %w[csv excel pdf json] }
  validates :status, inclusion: { in: %w[pending processing completed failed] }
  
  scope :recent, -> { where('created_at > ?', 30.days.ago) }
  scope :completed, -> { where(status: 'completed') }
  
  def filename
    timestamp = created_at.strftime('%Y%m%d_%H%M%S')
    "#{model_class.underscore}_export_#{timestamp}.#{format_extension}"
  end
  
  def format_extension
    case format
    when 'excel' then 'xlsx'
    when 'pdf' then 'pdf'
    when 'json' then 'json'
    else 'csv'
    end
  end
  
  def estimated_duration
    return nil unless estimated_record_count
    
    case format
    when 'csv'
      (estimated_record_count / 10000.0).ceil.minutes
    when 'excel'
      (estimated_record_count / 5000.0).ceil.minutes
    when 'pdf'
      (estimated_record_count / 1000.0).ceil.minutes
    else
      (estimated_record_count / 8000.0).ceil.minutes
    end
  end
end

Multi-Format Export System with Template Support

Supporting multiple export formats requires a flexible architecture that can handle different data structures and formatting requirements. I’ve developed a template-based system that allows easy customization of export formats.

class MultiFormatExporter
  SUPPORTED_FORMATS = %w[csv excel json xml pdf].freeze
  
  def initialize(data_source, options = {})
    @data_source = data_source
    @format = options[:format] || 'csv'
    @template = options[:template]
    @include_metadata = options[:include_metadata] || false
    @custom_fields = options[:custom_fields] || []
    @transformations = options[:transformations] || {}
  end
  
  def export
    validate_format
    prepare_data
    
    case @format
    when 'csv'
      export_csv
    when 'excel'
      export_excel
    when 'json'
      export_json
    when 'xml'
      export_xml
    when 'pdf'
      export_pdf
    end
  end
  
  private
  
  def prepare_data
    @prepared_data = @data_source.map do |record|
      base_data = extract_base_fields(record)
      custom_data = extract_custom_fields(record)
      transformed_data = apply_transformations(base_data.merge(custom_data))
      
      @include_metadata ? add_metadata(transformed_data, record) : transformed_data
    end
  end
  
  def extract_base_fields(record)
    if @template
      template_config = load_template(@template)
      extract_fields_from_template(record, template_config)
    else
      record.respond_to?(:attributes) ? record.attributes : record.to_h
    end
  end
  
  def extract_custom_fields(record)
    custom_data = {}
    
    @custom_fields.each do |field_config|
      field_name = field_config[:name]
      field_value = calculate_custom_field_value(record, field_config)
      custom_data[field_name] = field_value
    end
    
    custom_data
  end
  
  def calculate_custom_field_value(record, config)
    case config[:type]
    when 'computed'
      evaluate_computed_field(record, config[:formula])
    when 'association'
      extract_association_value(record, config[:association_path])
    when 'aggregation'
      calculate_aggregation(record, config[:aggregation_config])
    else
      record.send(config[:source_field]) if config[:source_field]
    end
  end
  
  def evaluate_computed_field(record, formula)
    case formula
    when 'full_name'
      "#{record.first_name} #{record.last_name}".strip
    when 'age_years'
      return nil unless record.birth_date
      ((Date.current - record.birth_date) / 365.25).floor
    when 'account_status'
      determine_account_status(record)
    else
      nil
    end
  end
  
  def export_excel
    temp_file = Tempfile.new(['export', '.xlsx'])
    package = Axlsx::Package.new
    workbook = package.workbook
    
    # Main data sheet
    workbook.add_worksheet(name: 'Data') do |sheet|
      if @prepared_data.any?
        headers = @prepared_data.first.keys
        sheet.add_row(headers.map(&:humanize))
        
        @prepared_data.each do |row|
          formatted_row = headers.map { |header| format_excel_cell(row[header]) }
          sheet.add_row(formatted_row)
        end
        
        apply_excel_formatting(sheet, headers.length, @prepared_data.length)
      end
    end
    
    # Metadata sheet if requested
    if @include_metadata
      add_metadata_sheet(workbook)
    end
    
    package.serialize(temp_file.path)
    temp_file
  end
  
  def apply_excel_formatting(sheet, column_count, row_count)
    # Header formatting
    header_style = sheet.styles.add_style(
      bg_color: '366092',
      fg_color: 'FFFFFF',
      b: true,
      alignment: { horizontal: :center }
    )
    
    sheet.rows.first.style = header_style
    
    # Alternate row coloring
    even_row_style = sheet.styles.add_style(bg_color: 'F8F9FA')
    
    (2..row_count + 1).each do |row_index|
      next unless row_index.even?
      sheet.rows[row_index - 1].style = even_row_style
    end
    
    # Auto-fit columns
    sheet.column_widths(*Array.new(column_count, :auto))
  end
  
  def export_json
    temp_file = Tempfile.new(['export', '.json'])
    
    export_data = {
      data: @prepared_data,
      export_info: {
        generated_at: Time.current.iso8601,
        record_count: @prepared_data.length,
        format: 'json'
      }
    }
    
    File.write(temp_file.path, JSON.pretty_generate(export_data))
    temp_file
  end
  
  def export_pdf
    temp_file = Tempfile.new(['export', '.pdf'])
    
    Prawn::Document.generate(temp_file.path) do |pdf|
      pdf.text "Data Export Report", size: 20, style: :bold
      pdf.text "Generated: #{Time.current.strftime('%B %d, %Y at %I:%M %p')}", size: 12
      pdf.move_down 20
      
      if @prepared_data.any?
        headers = @prepared_data.first.keys.map(&:humanize)
        
        table_data = [@prepared_data.first.keys.map(&:humanize)]
        table_data += @prepared_data.map { |row| row.values.map(&:to_s) }
        
        pdf.table(table_data, header: true, width: pdf.bounds.width) do
          row(0).font_style = :bold
          row(0).background_color = 'DDDDDD'
          cells.padding = 5
          cells.borders = [:top, :bottom]
          cells.border_width = 0.5
        end
      end
      
      pdf.number_pages "Page <page> of <total>", at: [pdf.bounds.right - 150, 0]
    end
    
    temp_file
  end
  
  def load_template(template_name)
    template_path = Rails.root.join('config', 'export_templates', "#{template_name}.yml")
    YAML.load_file(template_path) if File.exist?(template_path)
  end
end

Template configuration files allow flexible field definitions:

# config/export_templates/user_summary.yml
name: "User Summary Export"
description: "Basic user information with computed fields"

fields:
  - name: "id"
    source: "id"
    type: "integer"
  
  - name: "full_name"
    type: "computed"
    formula: "full_name"
  
  - name: "email"
    source: "email"
    type: "string"
  
  - name: "registration_date"
    source: "created_at"
    type: "date"
    format: "%Y-%m-%d"
  
  - name: "account_age_days"
    type: "computed"
    formula: "account_age_days"
  
  - name: "total_orders"
    type: "aggregation"
    aggregation_config:
      association: "orders"
      method: "count"
  
  - name: "total_spent"
    type: "aggregation"
    aggregation_config:
      association: "orders"
      method: "sum"
      field: "total_amount"

formatting:
  currency_fields: ["total_spent"]
  date_fields: ["registration_date"]
  boolean_fields: ["active"]

Progress Tracking and Real-time Updates

Large exports benefit from progress tracking that keeps users informed about processing status. I implement this using Action Cable for real-time updates and database progress storage.

class ExportProgressTracker
  def initialize(export_request)
    @export_request = export_request
    @last_update_time = Time.current
    @update_interval = 2.seconds
  end
  
  def update_progress(current_count, total_count = nil, additional_info = {})
    return unless should_update?
    
    progress_data = calculate_progress_metrics(current_count, total_count)
    progress_data.merge!(additional_info)
    
    update_database(progress_data)
    broadcast_update(progress_data)
    
    @last_update_time = Time.current
  end
  
  def mark_completed(final_stats = {})
    completion_data = {
      status: 'completed',
      progress_percentage: 100.0,
      completed_at: Time.current,
      processing_duration: calculate_processing_duration
    }.merge(final_stats)
    
    update_database(completion_data)
    broadcast_update(completion_data)
    
    cleanup_progress_tracking
  end
  
  def mark_failed(error_message, error_details = {})
    failure_data = {
      status: 'failed',
      error_message: error_message,
      failed_at: Time.current,
      processing_duration: calculate_processing_duration
    }.merge(error_details)
    
    update_database(failure_data)
    broadcast_update(failure_data)
    
    log_failure(error_message, error_details)
  end
  
  private
  
  def should_update?
    Time.current - @last_update_time >= @update_interval
  end
  
  def calculate_progress_metrics(current_count, total_count)
    metrics = {
      processed_records: current_count,
      updated_at: Time.current
    }
    
    if total_count
      metrics[:total_records] = total_count
      metrics[:progress_percentage] = calculate_percentage(current_count, total_count)
      metrics[:estimated_completion] = estimate_completion_time(current_count, total_count)
    end
    
    metrics[:processing_rate] = calculate_processing_rate(current_count)
    metrics
  end
  
  def calculate_percentage(current, total)
    return 0.0 if total.zero?
    [(current.to_f / total * 100).round(2), 100.0].min
  end
  
  def estimate_completion_time(current, total)
    return nil if current.zero? || total.zero? || current >= total
    
    elapsed_time = Time.current - @export_request.started_at
    rate = current.to_f / elapsed_time.to_f
    remaining_records = total - current
    
    Time.current + (remaining_records / rate).seconds
  end
  
  def calculate_processing_rate(current_count)
    return 0.0 unless @export_request.started_at
    
    elapsed_seconds = Time.current - @export_request.started_at
    return 0.0 if elapsed_seconds.zero?
    
    (current_count.to_f / elapsed_seconds).round(2)
  end
  
  def update_database(data)
    @export_request.update!(data)
  rescue ActiveRecord::RecordInvalid => e
    Rails.logger.error "Failed to update export progress: #{e.message}"
  end
  
  def broadcast_update(data)
    ActionCable.server.broadcast(
      "export_progress_#{@export_request.user_id}",
      format_broadcast_data(data)
    )
  rescue StandardError => e
    Rails.logger.error "Failed to broadcast export progress: #{e.message}"
  end
  
  def format_broadcast_data(data)
    {
      export_id: @export_request.id,
      type: 'progress_update',
      timestamp: Time.current.iso8601
    }.merge(data.stringify_keys)
  end
  
  def calculate_processing_duration
    return nil unless @export_request.started_at
    Time.current - @export_request.started_at
  end
end

The frontend JavaScript handles real-time progress updates:

class ExportProgressMonitor {
  constructor(exportId, userId) {
    this.exportId = exportId;
    this.userId = userId;
    this.progressElement = document.getElementById(`export-progress-${exportId}`);
    this.setupWebSocket();
    this.startProgressPolling();
  }
  
  setupWebSocket() {
    this.subscription = App.cable.subscriptions.create(
      { channel: 'ExportProgressChannel', user_id: this.userId },
      {
        received: (data) => {
          if (data.export_id === this.exportId) {
            this.updateProgressDisplay(data);
          }
        },
        
        connected: () => {
          console.log('Connected to export progress channel');
        },
        
        disconnected: () => {
          console.log('Disconnected from export progress channel');
          this.startProgressPolling();
        }
      }
    );
  }
  
  updateProgressDisplay(data) {
    if (!this.progressElement) return;
    
    const progressBar = this.progressElement.querySelector('.progress-bar');
    const statusText = this.progressElement.querySelector('.status-text');
    const detailsText = this.progressElement.querySelector('.details-text');
    
    if (progressBar && data.progress_percentage !== undefined) {
      progressBar.style.width = `${data.progress_percentage}%`;
      progressBar.setAttribute('aria-valuenow', data.progress_percentage);
    }
    
    if (statusText) {
      statusText.textContent = this.formatStatusText(data);
    }
    
    if (detailsText) {
      detailsText.textContent = this.formatDetailsText(data);
    }
    
    if (data.status === 'completed') {
      this.handleExportCompleted(data);
    } else if (data.status === 'failed') {
      this.handleExportFailed(data);
    }
  }
  
  formatStatusText(data) {
    switch (data.status) {
      case 'processing':
        return `Processing... ${data.progress_percentage || 0}%`;
      case 'completed':
        return 'Export completed successfully';
      case 'failed':
        return 'Export failed';
      default:
        return 'Preparing export...';
    }
  }
  
  formatDetailsText(data) {
    const parts = [];
    
    if (data.processed_records) {
      parts.push(`${data.processed_records.toLocaleString()} records processed`);
    }
    
    if (data.processing_rate) {
      parts.push(`${data.processing_rate} records/sec`);
    }
    
    if (data.estimated_completion) {
      const eta = new Date(data.estimated_completion);
      parts.push(`ETA: ${eta.toLocaleTimeString()}`);
    }
    
    return parts.join(' • ');
  }
  
  handleExportCompleted(data) {
    this.stopProgressPolling();
    
    if (data.download_url) {
      this.showDownloadButton(data.download_url);
    }
    
    this.showNotification('Export completed successfully!', 'success');
  }
  
  showDownloadButton(downloadUrl) {
    const downloadButton = document.createElement('a');
    downloadButton.href = downloadUrl;
    downloadButton.className = 'btn btn-success btn-sm';
    downloadButton.textContent = 'Download Export';
    downloadButton.target = '_blank';
    
    const buttonContainer = this.progressElement.querySelector('.button-container');
    if (buttonContainer) {
      buttonContainer.appendChild(downloadButton);
    }
  }
  
  startProgressPolling() {
    if (this.pollingTimer) return;
    
    this.pollingTimer = setInterval(() => {
      this.fetchProgressUpdate();
    }, 3000);
  }
  
  stopProgressPolling() {
    if (this.pollingTimer) {
      clearInterval(this.pollingTimer);
      this.pollingTimer = null;
    }
  }
  
  async fetchProgressUpdate() {
    try {
      const response = await fetch(`/exports/${this.exportId}/progress`);
      const data = await response.json();
      this.updateProgressDisplay(data);
    } catch (error) {
      console.error('Failed to fetch progress update:', error);
    }
  }
}

Error Recovery and Resumable Exports

Large exports can fail due to various reasons including network issues, database timeouts, or server restarts. Implementing recovery mechanisms ensures exports can resume from their last successful checkpoint.

class ResumableExportJob < ApplicationJob
  queue_as :exports
  
  def perform(export_request_id, resume_from = 0)
    @export_request = ExportRequest.find(export_request_id)
    @resume_from = resume_from
    @checkpoint_interval = 5000
    @progress_tracker = ExportProgressTracker.new(@export_request)
    
    begin
      setup_export_context
      perform_resumable_export
      finalize_successful_export
    rescue StandardError => e
      handle_export_failure(e)
    ensure
      cleanup_resources
    end
  end
  
  private
  
  def setup_export_context
    @export_request.update!(
      status: 'processing',
      started_at: @resume_from.zero? ? Time.current : @export_request.started_at,
      resume_count: @export_request.resume_count + (@resume_from.positive? ? 1 : 0)
    )
    
    @temp_file = initialize_export_file
    @total_records = estimate_total_records
    @processed_count = @resume_from
  end
  
  def perform_resumable_export
    query = build_resumable_query
    
    query.find_in_batches(batch_size: batch_size, start: @resume_from) do |batch|
      process_batch_with_checkpoints(batch)
      
      break if export_cancelled?
    end
  end
  
  def process_batch_with_checkpoints(batch)
    batch.each_with_index do |record, index|
      process_single_record(record)
      @processed_count += 1
      
      if should_create_checkpoint?
        create_checkpoint
        @progress_tracker.update_progress(@processed_count, @total_records)
      end
    end
  end
  
  def process_single_record(record)
    formatted_data = format_record_for_export(record)
    write_record_to_file(formatted_data)
  rescue StandardError => e
    handle_record_processing_error(record, e)
  end
  
  def should_create_checkpoint?
    @processed_count % @checkpoint_interval == 0
  end
  
  def create_checkpoint
    checkpoint_data = {
      export_request_id: @export_request.id,
      processed_count: @processed_count,
      checkpoint_created_at: Time.current,
      temp_file_path: @temp_file.path,
      current_batch_id: @current_batch_id
    }
    
    ExportCheckpoint.create!(checkpoint_data)
    
    # Keep only the 3 most recent checkpoints
    cleanup_old_checkpoints
  end
  
  def cleanup_old_checkpoints
    old_checkpoints = ExportCheckpoint
      .where(export_request_id: @export_request.id)
      .order(created_at: :desc)
      .offset(3)
    
    old_checkpoints.destroy_all
  end
  
  def handle_export_failure(error)
    create_failure_checkpoint(error)
    
    if should_retry_export?(error)
      schedule_retry
    else
      mark_export_as_faile

Keywords: rails data export, csv export rails, streaming csv export, background job export, multi format export, excel export rails, json export functionality, pdf export generation, export progress tracking, resumable data export, large dataset export, memory efficient export, rails export system, data export optimization, export template system, real-time export updates, export error handling, bulk data export, rails active job export, export performance optimization, database export streaming, rails csv generation, export file management, export queue processing, export progress bar, export download system, rails data transformation, export batch processing, export memory management, export user interface, rails export controller, export service class, export background processing, rails streaming response, export file storage, export notification system, export template configuration, rails export gem, export data formatting, export progress monitoring, rails export best practices, export scalability solutions, export error recovery, rails data serialization



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