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What the License Includes

• What the License IncludesA ready-to-use system for working with data triggers in Hadoop, with ML-based control.
• Source CodeC# and Python source code.
• Configuration FilesIncluding the “In-Memory OLTP” configuration.

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Procedure for Working with a Set of Data Triggers in Hadoop

The procedure runs at a defined time period (DTP), for example, initially 1 second. The ML system can periodically adjust the DTP based on the nature of the data (e.g., the running average).

1. Creating an external table from the Hadoop data on which the triggers are based. One external table contains 1 to n triggers, i.e., it represents a set of triggers. There may be groups of such external tables, created from different data sets. Each data set consists of Hadoop data with a single “date-timestamp” parameter, which serves as the Primary Key of the external table.
2. Adding a new row to a table with the same structure, but in-memory. This creates a multi-row table with the “date-timestamp” parameter as its Primary Key.
3. Comparing the most recently added row with the previous one. The result of the comparison is equal or different.
4. On different , the assigned Stored Procedure is executed for the corresponding trigger (the name of the Stored Procedure to run when the content changes is specified when the trigger is defined). The difference between the “date-timestamp” values of the two rows (PM2P) is passed to the ML system.

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