Partition(partition_name) VS Where clause
I have a table with range partitions on a date column, I used to query the data using where
cause to fetch the transformed data of particular day. But as the data is huge (billions of rows) the query used to take few minutes to execute even when I i used where condition on the partition column. As I’ve read over internet many people claiming oracle handles the partitions internally when used where clause, but i tried to fetch the same data using partition for or partition() example.. FROM table_name PARTITON FOR(DATE '2024-09-17')
, and this gave the result in few seconds.
Partition(partition_name) VS Where clause
I have a table with range partitions on a date column, I used to query the data using where
cause to fetch the transformed data of particular day. But as the data is huge (billions of rows) the query used to take few minutes to execute even when I i used where condition on the partition column. As I’ve read over internet many people claiming oracle handles the partitions internally when used where clause, but i tried to fetch the same data using partition for or partition() example.. FROM table_name PARTITON FOR(DATE '2024-09-17')
, and this gave the result in few seconds.
Partition(partition_name) VS Where clause
I have a table with range partitions on a date column, I used to query the data using where
cause to fetch the transformed data of particular day. But as the data is huge (billions of rows) the query used to take few minutes to execute even when I i used where condition on the partition column. As I’ve read over internet many people claiming oracle handles the partitions internally when used where clause, but i tried to fetch the same data using partition for or partition() example.. FROM table_name PARTITON FOR(DATE '2024-09-17')
, and this gave the result in few seconds.
Partition(partition_name) VS Where clause
I have a table with range partitions on a date column, I used to query the data using where
cause to fetch the transformed data of particular day. But as the data is huge (billions of rows) the query used to take few minutes to execute even when I i used where condition on the partition column. As I’ve read over internet many people claiming oracle handles the partitions internally when used where clause, but i tried to fetch the same data using partition for or partition() example.. FROM table_name PARTITON FOR(DATE '2024-09-17')
, and this gave the result in few seconds.
Partition(partition_name) VS Where clause
I have a table with range partitions on a date column, I used to query the data using where
cause to fetch the transformed data of particular day. But as the data is huge (billions of rows) the query used to take few minutes to execute even when I i used where condition on the partition column. As I’ve read over internet many people claiming oracle handles the partitions internally when used where clause, but i tried to fetch the same data using partition for or partition() example.. FROM table_name PARTITON FOR(DATE '2024-09-17')
, and this gave the result in few seconds.
Partition(partition_name) VS Where clause
I have a table with range partitions on a date column, I used to query the data using where
cause to fetch the transformed data of particular day. But as the data is huge (billions of rows) the query used to take few minutes to execute even when I i used where condition on the partition column. As I’ve read over internet many people claiming oracle handles the partitions internally when used where clause, but i tried to fetch the same data using partition for or partition() example.. FROM table_name PARTITON FOR(DATE '2024-09-17')
, and this gave the result in few seconds.
Partition(partition_name) VS Where clause
I have a table with range partitions on a date column, I used to query the data using where
cause to fetch the transformed data of particular day. But as the data is huge (billions of rows) the query used to take few minutes to execute even when I i used where condition on the partition column. As I’ve read over internet many people claiming oracle handles the partitions internally when used where clause, but i tried to fetch the same data using partition for or partition() example.. FROM table_name PARTITON FOR(DATE '2024-09-17')
, and this gave the result in few seconds.
Partition(partition_name) VS Where clause
I have a table with range partitions on a date column, I used to query the data using where
cause to fetch the transformed data of particular day. But as the data is huge (billions of rows) the query used to take few minutes to execute even when I i used where condition on the partition column. As I’ve read over internet many people claiming oracle handles the partitions internally when used where clause, but i tried to fetch the same data using partition for or partition() example.. FROM table_name PARTITON FOR(DATE '2024-09-17')
, and this gave the result in few seconds.
Partition(partition_name) VS Where clause
I have a table with range partitions on a date column, I used to query the data using where
cause to fetch the transformed data of particular day. But as the data is huge (billions of rows) the query used to take few minutes to execute even when I i used where condition on the partition column. As I’ve read over internet many people claiming oracle handles the partitions internally when used where clause, but i tried to fetch the same data using partition for or partition() example.. FROM table_name PARTITON FOR(DATE '2024-09-17')
, and this gave the result in few seconds.
Partition(partition_name) VS Where clause
I have a table with range partitions on a date column, I used to query the data using where
cause to fetch the transformed data of particular day. But as the data is huge (billions of rows) the query used to take few minutes to execute even when I i used where condition on the partition column. As I’ve read over internet many people claiming oracle handles the partitions internally when used where clause, but i tried to fetch the same data using partition for or partition() example.. FROM table_name PARTITON FOR(DATE '2024-09-17')
, and this gave the result in few seconds.