Sample data acquisition method and device for enterprise data warehouse system
A sample data and data warehouse technology, applied in the direction of electrical digital data processing, special data processing applications, instruments, etc., can solve the problems of time-consuming, labor-intensive and low-efficiency in the sample data extraction process, and achieve the effect of convenient and fast acquisition and overcoming time-consuming and labor-intensive effects
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Embodiment 1
[0051] An embodiment of the present invention provides a sample data acquisition device for an enterprise-level data warehouse system, such as figure 1 As stated, the device includes:
[0052] The logical model information parsing unit 101 is configured to parse the logical model information including model relation information of the enterprise-level data warehouse system to obtain model relation information;
[0053] The configuration information generation unit 102 is configured to generate sample data extraction configuration information according to the model association relationship information;
[0054] An extraction script generation unit 103, configured to generate a full extraction script according to sample data extraction configuration information and preset extraction parameters;
[0055] A dependency determining unit 104, configured to perform iterative operations on the full extraction script to determine the dependency of the full extraction script scheduling;...
Embodiment 2
[0139] An embodiment of the present invention provides a sample data acquisition method of an enterprise-level data warehouse system, such as Figure 21 As shown, the method includes:
[0140] Step 101, analyzing logical model information including model relationship information of the enterprise-level data warehouse system to obtain model relationship information;
[0141] Step 102, generating sample data extraction configuration information according to model association relationship information;
[0142] Step 103, generating a full extraction script according to the sample data extraction configuration information and preset extraction parameters;
[0143] Step 104, performing an iterative operation on the full extraction script to determine the dependencies of the full extraction script scheduling;
[0144] Step 105, generating a scheduling file based on a directed graph data structure according to the dependency relationship;
[0145] Step 106, schedule the full extrac...
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