Data source anomaly monitoring methods, devices, electronic equipment and storage media

Abstract

This application discloses a method, apparatus, electronic device, and storage medium for monitoring data source anomalies. This application relates to the field of data processing technology. The method for monitoring data source anomalies includes: identifying at least one data source table of different types within a data source; constructing an entry count reconciliation table based on the number of entries in each data source table; splitting the data source table according to the entry count reconciliation table to obtain multiple split tables; for each split table, pushing the split table to the corresponding push environment terminal; the push environment terminal obtaining the entry count reconciliation table from the data source calling platform; and when a mismatch is detected between the number of entries in the split table and the corresponding number of entries in the entry count reconciliation table, sending an anomaly alarm to the data source calling platform; if an anomaly alarm is received from the push environment terminal, updating and adjusting the data source table corresponding to the anomaly alarm in the data source. This application can quickly and accurately identify whether anomalies have occurred during the data source splitting process.

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