Generate architecture diagram: Use Spark Streaming , a distributed computing framework that supports streaming processing , to obtain change logs of the original data to be migrated from the source database; LSTM neural network algorithm is used as sequence learning algorithm , and machine learning model can simulate Data migration operation according to log data training; Using the distributed data processing framework Spark SQL , construct test cases based on the LSTM model , conduct simulation testing based on the original data to be migrated , and obtain target test data; Use the Random forest algorithm as the machine learning algorithm to compare the source test data with the target test data to determine whether there is a data compatibility problem. ,
{ "seed": "2108574570", "steps": 30, "width": 512, "height": 512, "version": "SH_Deliberate", "sampler_name": "k_dpm_2", "guidance_scale": 7.5 }