Multi-source heterogeneous incremental data synchronization method and system
An incremental data, multi-source heterogeneous technology, applied in the field of data processing, can solve the problems of high pressure for full synchronization, unsatisfactory cycle scheduling, and high cost
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Embodiment 1
[0057] like figure 1 As shown, the embodiment of the present invention provides a method for synchronizing multi-source heterogeneous incremental data, and the method may include the following steps.
[0058] S1. Obtain incremental streaming data of at least one source.
[0059] In practical applications, this step may also be to obtain incremental data at the source. The method in this embodiment implements a method for synchronizing incremental data.
[0060] This step may include the following sub-steps:
[0061] For each source, check whether the data format of the source is JSON semi-structured data format;
[0062] If so, use the data replication tool corresponding to the source data to analyze the data in the database at the source to obtain incremental streaming data at the source;
[0063] Otherwise, use the data replication tool corresponding to the source data to analyze the data in the source database, obtain the incremental streaming data of the source, and ca...
Embodiment 2
[0085] like figure 2 As shown, the embodiment of the present invention provides a flow chart of a method for synchronizing multi-source heterogeneous incremental data. The method of this embodiment may include the following steps:
[0086] Step (1): Configure the data replication middleware for acquiring data changes at the source end and configure the incremental data information to be synchronized in the data transmission service unit.
[0087] First of all, for different relational storage, select the corresponding data replication middleware, obtain the incremental data in the source database in real time, such as incremental change data, and send it downstream.
[0088] In this embodiment, a corresponding data replication tool is selected according to different data storage types at the source. like figure 2 Oracle's source database in Oracle will choose Oracle Golden Gate (ogg for short) data replication middleware to realize real-time synchronization of Oracle datab...
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