Wpd Ai Analytics Data Fetch Batch Size

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Filter: wpd_ai_analytics_data_fetch_batch_size

Control the batch size used when fetching analytics data from the database. This helps optimize query performance for large datasets.

Description

When fetching analytics data for reports, Alpha Insights processes records in batches to avoid memory exhaustion and optimize database performance. This filter allows you to customize the batch size based on your server capabilities and data volume.

Location

File: includes/classes/WPD_Data_Warehouse_React.php

Method: WPD_Data_Warehouse_React::get_analytics_data()

Line: ~6611

Parameters

Parameter Type Description
$batch_size int The number of records to fetch per batch (default: 10000)

Return

Type: int

Description: Modified batch size (must be a positive integer)

Example Usage

Increase Batch Size for Better Performance

add_filter( 'wpd_ai_analytics_data_fetch_batch_size', 'increase_analytics_batch_size' );
function increase_analytics_batch_size( $batch_size ) {
    // Increase to 25000 for high-performance servers
    return 25000;
}

Reduce Batch Size for Memory-Constrained Servers

add_filter( 'wpd_ai_analytics_data_fetch_batch_size', 'reduce_analytics_batch_size' );
function reduce_analytics_batch_size( $batch_size ) {
    // Reduce to 5000 for servers with limited memory
    return 5000;
}

Dynamic Batch Size Based on Data Volume

add_filter( 'wpd_ai_analytics_data_fetch_batch_size', 'dynamic_analytics_batch_size' );
function dynamic_analytics_batch_size( $batch_size ) {
    global $wpdb;
    
    // Get total analytics records count
    $total_records = $wpdb->get_var( 
        "SELECT COUNT(*) FROM {$wpdb->prefix}wpd_ai_events" 
    );
    
    // Adjust batch size based on total records
    if ( $total_records > 1000000 ) {
        // Very large dataset: use smaller batches
        return 5000;
    } elseif ( $total_records > 100000 ) {
        // Large dataset: use medium batches
        return 10000;
    } else {
        // Small dataset: use larger batches
        return 20000;
    }
}

Batch Size Based on Available Memory

add_filter( 'wpd_ai_analytics_data_fetch_batch_size', 'memory_based_analytics_batch_size' );
function memory_based_analytics_batch_size( $batch_size ) {
    // Get available memory
    $memory_limit = ini_get( 'memory_limit' );
    $memory_limit_bytes = wp_convert_hr_to_bytes( $memory_limit );
    $memory_usage = memory_get_usage( true );
    $available_memory = $memory_limit_bytes - $memory_usage;
    
    // Adjust batch size based on available memory
    if ( $available_memory 

Best Practices

  • Default of 10,000 works well for most stores
  • Monitor memory usage when increasing batch size
  • Use smaller batches on shared hosting environments
  • Larger batches = fewer queries but more memory usage
  • Smaller batches = more queries but less memory usage
  • Test with your actual data volume before production

Performance Impact

Batch Size Memory Usage Query Count Best For
5,000 Low High Shared hosting, low memory, very large datasets
10,000 (default) Medium Medium Most standard setups
20,000-25,000 High Low Dedicated servers, high memory, medium datasets

Important Notes

  • Batch size must be a positive integer
  • Very large batch sizes may cause memory exhaustion
  • Very small batch sizes may slow down queries
  • Default value is optimized for most use cases
  • Only adjust if you’re experiencing performance issues
  • This affects analytics data fetching, not session data

Debugging

add_filter( 'wpd_ai_analytics_data_fetch_batch_size', 'debug_analytics_batch_size', 999 );
function debug_analytics_batch_size( $batch_size ) {
    error_log( 'Alpha Insights Analytics Batch Size: ' . $batch_size );
    error_log( 'Memory Usage: ' . size_format( memory_get_usage( true ) ) );
    return $batch_size;
}

Related Filters

Related Classes

  • WPD_Data_Warehouse_React – React dashboard data warehouse

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