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数据分批迁移工作流

分批迁移大型数据集,最小化锁竞争并允许每阶段回滚。

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概述

数据分批迁移工作流是一个中级难度的工作流。分批迁移大型数据集,最小化锁竞争并允许每阶段回滚。该工作流的目标是:Migrate data in controlled batches to minimize risk and enable partial rollback.

环境准备

执行本工作流需要以下环境:A source and target database;A migration script with batch processing;A rollback plan for each batch。请确保在开始前准备好所有必需的工具和资源,以避免中途因环境问题中断。

执行步骤

本工作流包含5个步骤。步骤1:Determine batch size——Calculate an appropriate batch size based on row size and lock timeout. 步骤2:Migrate first batch——Process the first batch of records and verify the results in the target. 步骤3:Validate data——Compare source and target data for the migrated batch to ensure correctness. 步骤4:Continue batches——Process subsequent batches, validating each before proceeding to the next. 步骤5:Final verification——Run a full count and sample comparison between source and target.

验证与清理

预期结果:All data is migrated in verifiable batches with the ability to roll back any individual batch.。验证方法:Compare row counts and sample data between source and target; confirm all batches are migrated correctly.。清理操作:Roll back the last batch if validation fails; fix the issue and reprocess that batch.。estimatedMinutes 为 120 分钟。

代码示例

# Execute the workflow steps as documented above
echo "Workflow completed successfully"