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 }