Dynamic Partitioning and Load Balancing for Large-Scale Data Ingestion into GridDB with Go

Question

In scenarios where I'm ingesting massive volumes of data into GridDB, I face challenges related to efficiently partitioning the data and balancing the load across GridDB nodes. The objective is to maximize throughput and minimize insertion time. Here's a simplified code structure that needs expansion to dynamically partition and load balance data insertion:

package main

import (
    "fmt"
    "github.com/griddb/go-client/gs"
    "math/rand"
    "time"
)

func main() {
    gridstore, err := connectToGridDB()
    if err != nil {
        log.Fatalf("Error connecting to GridDB: %v", err)
    }
    defer gridstore.Close()

    dataPoints := generateDataPoints(10000) // Generate 10,000 data points for insertion

    // Simplified logic for inserting data points
    for _, dataPoint := range dataPoints {
        containerName := determineContainer(dataPoint) // Logic to determine which container (or partition) to use
        insertDataPoint(gridstore, containerName, dataPoint)
    }
}

func generateDataPoints(count int) []DataPoint {
    // Logic to generate data points
    return nil // Simplified for example purposes
}

func determineContainer(dataPoint DataPoint) string {
    // Logic to dynamically determine the target container for the data point, potentially based on content or load balancing needs
    return ""
}

func insertDataPoint(gridstore *gs.GridStore, containerName string, dataPoint DataPoint) {
    // Logic to insert a single data point into the specified container
}

For an advanced handling of large-scale data ingestion, I seek:

Strategies for implementing dynamic partitioning in GridDB to efficiently distribute large data volumes across containers or nodes, directly from Go. Techniques for monitoring and balancing the load across GridDB containers or nodes to ensure optimal resource utilization and performance. Examples of Go code that dynamically selects containers or partitions based on data characteristics or current load, ensuring even distribution and high throughput.