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So I have an assignment posted below: I have no parallel programming experience and since this is a database class my professor didn't really teach it via coding examples. Just explained it at a high level. Can someone please provide me of some clear coding examples using parallel programming or post links to good youtube videos teaching this via coding examples. When I searched I didn't really get good answers. So i might be searching wrong.
The required task is to build a generic parallel sort and parallel join algorithm.
1. Implement a Python function ParallelSort() that takes as input: (1) InputTable stored in a PostgreSQL database, (2) SortingColumnName the name of the column used to order
the tuples by. ParallelSort() then sorts all tuples (using five parallelized threads) and stores the sorted tuples for in a table named OutputTable (the output table name is passed to the function). The OutputTable contains all the tuple present in InputTable sorted in ascending order.
Function Interface:
ParallelSort (InputTable, SortingColumnName, OutputTable, openconnection) InputTable – Name of the table on which sorting needs to be done. SortingColumnName – Name of the column on which sorting needs to be done, would be either of type integer or real or float. Basically Numeric format. Will be Sorted in Ascending order.
OutputTable – Name of the table where the output needs to be stored.
openconnection – connection to the database.
2. Implement a Python function ParallelJoin() that takes as input: (1) InputTable1 and InputTable2 table stored in a PostgreSQL database, (2) Table1JoinColumn and Table2JoinColumn that represent the join key in each input table respectively. ParallelJoin() then joins both InputTable1 and InputTable2 (using five parallelized threads) and stored the resulting joined tuples in a table named OutputTable (the output table name is passed to the function). The schema of OutputTable should be similar to the schema of both InputTable1 and InputTable2 combined.
Function Interface:
ParallelJoin (InputTable1, InputTable2, Table1JoinColumn, Table2JoinColumn, OutputTable, openconnection)
InputTable1 – Name of the first table on which you need to perform join.
InputTable2 – Name of the second table on which you need to perform join. Table1JoinColumn – Name of the column from first table i.e. join key for first table. Table2JoinColumn – Name of the column from second table i.e. join key for second table.
OutputTable - Name of the table where the output needs to be stored.
openconnection – connection to the database.
The required task is to build a generic parallel sort and parallel join algorithm.
1. Implement a Python function ParallelSort() that takes as input: (1) InputTable stored in a PostgreSQL database, (2) SortingColumnName the name of the column used to order
the tuples by. ParallelSort() then sorts all tuples (using five parallelized threads) and stores the sorted tuples for in a table named OutputTable (the output table name is passed to the function). The OutputTable contains all the tuple present in InputTable sorted in ascending order.
Function Interface:
ParallelSort (InputTable, SortingColumnName, OutputTable, openconnection) InputTable – Name of the table on which sorting needs to be done. SortingColumnName – Name of the column on which sorting needs to be done, would be either of type integer or real or float. Basically Numeric format. Will be Sorted in Ascending order.
OutputTable – Name of the table where the output needs to be stored.
openconnection – connection to the database.
2. Implement a Python function ParallelJoin() that takes as input: (1) InputTable1 and InputTable2 table stored in a PostgreSQL database, (2) Table1JoinColumn and Table2JoinColumn that represent the join key in each input table respectively. ParallelJoin() then joins both InputTable1 and InputTable2 (using five parallelized threads) and stored the resulting joined tuples in a table named OutputTable (the output table name is passed to the function). The schema of OutputTable should be similar to the schema of both InputTable1 and InputTable2 combined.
Function Interface:
ParallelJoin (InputTable1, InputTable2, Table1JoinColumn, Table2JoinColumn, OutputTable, openconnection)
InputTable1 – Name of the first table on which you need to perform join.
InputTable2 – Name of the second table on which you need to perform join. Table1JoinColumn – Name of the column from first table i.e. join key for first table. Table2JoinColumn – Name of the column from second table i.e. join key for second table.
OutputTable - Name of the table where the output needs to be stored.
openconnection – connection to the database.
