Systems and methods to profile transactions for end-state determination and latency reduction

A tangible computer program product for categorizing an incomplete transaction and processing the incomplete transaction, wherein transactions are completed within a transaction processing system, and wherein the transactions are replicated from a source database to a target database by a replication engine, and wherein each transaction is a series of one or more transaction steps or operations, and wherein the incomplete transaction is incomplete in either the source or the target database, the computer program product comprising non-transitory computer-readable media encoded with instructions for execution by a processor to perform a method comprising:

• (a) providing a transaction pattern table that includes a plurality of records, each record being defined by a transaction pattern identifier, each record including:
• (i) a transaction pattern, wherein each completed transaction is the series of one or more transaction steps or operations, and the transaction pattern is the series of one or more transaction steps or operations of the completed transaction, and
• (ii) a metric of occurrence of the transaction pattern;
• (b) automatically comparing the series of one or more transaction steps or operations of an incomplete transaction to the transaction patterns in the transaction pattern table;
• (c) identifying, based on the automatic comparison, a subset of transaction patterns in the transaction pattern table that are potential candidates for matching the incomplete transaction;
• (d) categorizing the incomplete transaction using the metric of occurrence of the transaction pattern for each transaction pattern in the subset of transaction patterns, wherein the categorizing predicts when all of the series of one or more transaction steps or operations which have completed in the source database have been replicated, and wherein the metric of occurrence of the transaction pattern for each record of the transaction pattern table is (i) a count that is continuously updated based on completed transactions that match the transaction pattern, or (ii) a prepopulated probability of occurrence of the transaction pattern, or (iii) derived from historical data of the transaction pattern;
• and
• (e) processing the incomplete transaction using the categorization of the incomplete transaction.

An apparatus for categorizing an incomplete transaction and processing the incomplete transaction, wherein transactions are completed within a transaction processing system, and wherein the transactions are replicated from a source database to a target database, and wherein each transaction is a series of one or more transaction steps or operations, and wherein the incomplete transaction is incomplete in either the source or the target database, the apparatus comprising:

• (a) a transaction pattern table that includes a plurality of records, each record being defined by a unique transaction pattern identifier, each record including:
• (i) a transaction pattern, wherein each completed transaction is the series of one or more transaction steps or operations, and the transaction pattern is the series of one or more transaction steps or operations of the completed transaction, and
• (ii) a metric of occurrence of the transaction pattern;
• (b) a transaction pattern identification engine configured to:
• (i) compare the series of one or more transaction steps or operations of an incomplete transaction to the transaction patterns in the transaction pattern table,
• (ii) identify, based on the comparison, a subset of transaction patterns in the transaction pattern table that are potential candidates for matching the incomplete transaction, and
• (iii) categorize the incomplete transaction using the metric of occurrence of the transaction pattern for each transaction pattern in the subset of transaction patterns, wherein the categorizing predicts when all of the series of one or more transaction steps or operations which have completed in the source database have been replicated, and wherein the metric of occurrence of the transaction pattern for each record of the transaction pattern table is (i) a count that is continuously updated based on completed transactions that match the transaction pattern, or (ii) a prepopulated probability of occurrence of the transaction pattern, or (iii) derived from historical data of the transaction pattern;
• and
• (c) a data replication engine configured to process and replicate the incomplete transaction using the categorization of the incomplete transaction.