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With that explanation I also show the operations on the data models.Next, I will explain what the static columns are exactly.SQL INSERT INTO interval_tab VALUES (3, 'THREE', 'Three', TO_DATE('01-NOV-2007', 'DD-MON-YYYY')); INSERT INTO interval_tab VALUES (4, 'FOUR', 'Four', TO_DATE('30-NOV-2007', 'DD-MON-YYYY')); COMMIT; EXEC DBMS_STATS.gather_table_stats(USER, 'INTERVAL_TAB'); SELECT table_name, partition_name, high_value, num_rows FROM user_tab_partitions ORDER BY table_name, partition_name; TABLE_NAME PARTITION_NAME HIGH_VALUE NUM_ROWS -------------------- -------------------- ---------------------------------------- ---------- INTERVAL_TAB PART_01 TO_DATE(' 2007-11-01 ', 'SYYYY-M 2 M-DD HH24: MI: SS', 'NLS_CALENDAR=GREGORIA INTERVAL_TAB SYS_P44 TO_DATE(' 2007-12-01 ', 'SYYYY-M 2 M-DD HH24: MI: SS', 'NLS_CALENDAR=GREGORIA 11g 2 rows selected.SQL INSERT INTO interval_tab VALUES (5, 'FIVE', 'Five', TO_DATE('01-JAN-2008', 'DD-MON-YYYY')); INSERT INTO interval_tab VALUES (4, 'FOUR', 'Four', TO_DATE('31-JAN-2008', 'DD-MON-YYYY')); COMMIT; EXEC DBMS_STATS.gather_table_stats(USER, 'INTERVAL_TAB'); SELECT table_name, partition_name, high_value, num_rows FROM user_tab_partitions ORDER BY table_name, partition_name; TABLE_NAME PARTITION_NAME HIGH_VALUE NUM_ROWS -------------------- -------------------- ---------------------------------------- ---------- INTERVAL_TAB PART_01 TO_DATE(' 2007-11-01 ', 'SYYYY-M 2 M-DD HH24: MI: SS', 'NLS_CALENDAR=GREGORIA INTERVAL_TAB SYS_P44 TO_DATE(' 2007-12-01 ', 'SYYYY-M 2 M-DD HH24: MI: SS', 'NLS_CALENDAR=GREGORIA INTERVAL_TAB SYS_P45 TO_DATE(' 2008-02-01 ', 'SYYYY-M 2 M-DD HH24: MI: SS', 'NLS_CALENDAR=GREGORIA 3 rows selected.

Items are distributed across 10 GB storage units, called partitions (physical storage internal to Dynamo DB).In other words, a target row should not join to more than one row from the other table(s).If it does, then only one of the join rows will be used to update the target row, but which one will be used is not readily predictable.clause is present, what essentially happens is that the target table is joined to the tables mentioned in the from list, and each output row of the join represents an update operation for the target table.When using you should ensure that the join produces at most one output row for each row to be modified.This blog post will cover important considerations and strategies for choosing the right partition key while migrating from a relational database to Dynamo DB.

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