How to Configure Peer-to-Peer Replication in SQL Server: Complete Guide Introduction: In high-availability environments, applications often require data to be available for both read and write operations across multiple…
Read MoreMerge Replication in SQL-Server Introduction: Merge Replication in SQL Server is used in distributed environments where multiple databases need to work independently and later synchronize data.This guide explains why Merge…
Read MoreIntroduction One of the common issues Oracle E-Business Suite (EBS) administrators face is the login page hanging or failing to load. In many cases, the root cause is excessive resource…
Read MoreTried to import a partitioned table from Oracle enterprise edition to Standard edition 2 database. 1st Method : impdp \”/ as sysdba\” directory=DUMP dumpfile=2tab_tst_19_12_25.dmp logfile=2tab_tst_19_12_25_2.log TABLES=GLOBUS_APP.T502_ITEM_ORDER REMAP_TABLE=GLOBUS_APP.T502_ITEM_ORDER:T502_ITEM_ORDER_TEST2 REMAP_TABLESPACE=GMI_APP_DATA:GLOBUS_PROD_PERM Imported a entire table, but faced the below error. Since, we cannot import a partitioned table to a SE2 database. 2nd Method : impdp \”/ as sysdba\” directory=DUMP dumpfile=2tab_tst_19_12_25.dmp logfile=2tab_tst_19_12_25.log TABLES=GLOBUS_APP.T502_ITEM_ORDER REMAP_TABLE=GLOBUS_APP.T502_ITEM_ORDER:T502_ITEM_ORDER_TEST REMAP_TABLESPACE=GMI_APP_DATA:GLOBUS_PROD_PERM CONTENT=DATA_ONLY Created the table with the metadata first. Then imported with the data_only option. This time it works.
Read MoreIn SQL Server environments, confusion between keys and indexes remains a common and often overlooked issue. Although closely related, keys and indexes serve different purposes, and treating them as interchangeable…
Read MoreUnlocking the Power of Table Partitioning in Oracle Databases Managing large datasets efficiently is a key challenge for database administrators (DBAs). One solution to this problem is table partitioning, a feature in Oracle databases that allows large tables to be divided into smaller, more manageable segments called partitions. In this post, we’ll explore the concept, benefits, and implementation of table partitioning, along with practical SQL examples. What is Table Partitioning? Table partitioning involves splitting a large table into smaller, independent pieces, each known as a partition. These partitions can have distinct storage characteristics, but the SQL used to access the data remains unchanged. This means that while the data storage mechanism is different, users can interact with partitioned tables just like regular tables. Advantages of Table Partitioning Improved Data Availability: – If one partition becomes unavailable due to a media failure, other partitions remain accessible. For example, if the ‘EMP’ table has three partitions (A, B, C) and partition A encounters an issue, partitions B and C can still serve user requests. Reduced Contention: – By storing partitions in separate tablespaces and placing each tablespace on a different disk drive, multiple users can access the table simultaneously without contention. For instance, User A can select data from Partition 1, while User B inserts data into Partition 2 without interference. Enhanced Query Performance: – Partition Pruning optimizes query execution. Oracle automatically identifies the relevant partition based on the query condition, significantly reducing the search scope. Efficient Backups: – DBAs can back up individual partitions instead of the entire table, making the backup process faster and more manageable. Simplified Data Management: – Partitioning makes handling large datasets easier. For example, in a data warehouse, weekly data can be loaded into a fresh partition. Retrieving data for a specific week then becomes as simple as querying that partition. Types of Table Partitioning Range Partitioning: – Divides data based on a range of values in a specified column (e.g., salary ranges). List Partitioning: – Segregates data based on a predefined list of values (e.g., state codes). Hash Partitioning: – Distributes data evenly across partitions using a hash function, ensuring balanced storage and performance. How to Implement Table Partitioning Here are practical examples of table partitioning in Oracle databases: Creating a Table with Range Partitions: CREATE TABLE EMP1 ( EMPNO NUMBER(4), ENAME VARCHAR2(10), SAL NUMBER(7,2), HIREDATE DATE) PARTITION BY RANGE (SAL) ( PARTITION P1 VALUES LESS THAN (1000), PARTITION P2 VALUES LESS THAN (2000), PARTITION P3 VALUES LESS THAN (3000), PARTITION P4 VALUES LESS THAN (5000)); Inserting Data into Partitions: INSERT INTO EMP1 PARTITION (P1) VALUES (1001, ‘ALLEN’, 800, ’01-JAN-2005′); INSERT INTO EMP1 VALUES (1002, ‘JAMES’, 4500, ’01-JAN-2005′);…
Read MoreIn SQL Server environments, routine administrative operations such as database restores, data file growth, and the addition of new data files can become increasingly time-consuming as databases grow in size…
Read MoreA Practical Guide for Oracle DBAs Indexes play a critical role in Oracle database performance. While well-designed indexes can dramatically improve query response time, unused or missing indexes can just…
Read MoreA Practical Guide for DBAs Auditing helps Oracle DBAs track who did what, when, and from where. Whether for security reviews, compliance, or incident investigations, having ready-to-use audit queries saves…
Read MoreError While starting an Oracle RAC database using srvctl, the startup failed with: PRCR-1079: Failed to start resource ora.RACDB.db CRS-5076: Startup of database resource ‘ora.RACDB.db’ is failing because DB_UNIQUE_NAME ‘RAC_DB’ is not expected Description …
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