This application discloses a WAL log
compression method, device, and medium under PostgreSQL streaming replication, belonging to the
database field. The method includes: reading configuration parameters and establishing a streaming replication connection when the master
database starts up, obtaining network I / O load values in real time, and calculating the predicted WAL log
generation rate based on the
transaction processing rate to estimate future bandwidth requirements. When the network I / O or predicted bandwidth requirements reach a preset threshold, samples of the original WAL
log data are extracted and compared using multiple algorithms for rapid compression. The optimal compression
algorithm is dynamically selected for
adaptive compression processing, and the corresponding compression
flag field is set; otherwise, the data is transmitted directly in an uncompressed manner. The standby
database completes the corresponding decompression or
direct writing by
parsing the compression
flag field. This invention achieves a
dynamic balance between network bandwidth and CPU resources through a
dual mechanism of load prediction and
content awareness, effectively reducing master-standby replication latency and improving the adaptability and overall operating efficiency of the streaming replication
system in complex production environments.