Updating partition key column

29-May-2020 12:33

Dynamo DB uses the partition key’s value as an input to an internal hash function.The output from the hash function determines the partition in which the item will be stored.SQL CREATE TABLE interval_tab ( id NUMBER, code VARCHAR2(10), description VARCHAR2(50), created_date DATE ) PARTITION BY RANGE (created_date) INTERVAL (NUMTOYMINTERVAL(1,'MONTH')) ( PARTITION part_01 values LESS THAN (TO_DATE('01-NOV-2007','DD-MON-YYYY')) ); EXEC DBMS_STATS.gather_table_stats(USER, 'INTERVAL_TAB');11g COLUMN table_name FORMAT A20 COLUMN partition_name FORMAT A20 COLUMN high_value FORMAT A40 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 0 M-DD HH24: MI: SS', 'NLS_CALENDAR=GREGORIA 1 row selected.

Next, I will explain what the static columns are exactly.This blog post will cover important considerations and strategies for choosing the right partition key while migrating from a relational database to Dynamo DB.This is an important step in the design and building of scalable and reliable applications on top of Dynamo DB.With static columns (available from Cassandra 2.0.6) we are able to restrain some of these challenges for one-to-many relationships.

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To explain the approach of using static columns we first need to understand how the models for one-to-many relationships look like in Cassandra.The following example shows the creation of a system partitioned table.

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