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DBA Guide to Databases on VMware
DBA Guide to Databases on VMware

... Built-in HA provides protections to all database environments from production, development, to QA Simple and Reliable Disaster Recovery manager per site instead of per database Scale on demand to handle database spikes/peak utilization Accelerate Database Lifecycle from Dev to Production Reduce prov ...
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... account. In this case, the transaction involves two branches: the 100,000 customers (100 bytes, ~ 10 MB) originating branch and the home branch. This 15% non-local 2,600,000 30-day history (50 bytes, 130 MB) requirement makes the task much harder. It means that all partitions of the database must co ...
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... device. Therefore no binary logs are ever made on the slave device meaning they cannot be used for incremental backups. However the third argument in the above list ensures that all transactions that are made to the slave are logged on the slave thus making the binary logs useful. Once these changes ...
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... Allowing a set of concurrent users to retrieve from and to update the database. Concurrency control within the DBMS guarantees that each transaction is correctly executed or aborted Recovery subsystem ensures each completed transaction has its effect permanently recorded in the database OLTP (Online ...
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... Accounts, and Database Audits(2) The database system must also keep track of all operations on the database that are applied by a certain user throughout each login session. To keep a record of all updates applied to the database and of the particular user who applied each update, we can modify syst ...
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... • A fast refresh is based on the rowids or primary keys • Note: If the mview query is NOT simple then it cannot be fast refreshed so it will NOT need a mview log. • One master table/mview log can have > 1 mviews. Log ensures that all mviews are refreshed and does not purge itself until all mviews ar ...
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... When not to use DBMS?  In spite of the advantages of using a DBMS, there are a few situations in which such a system may involve unnecessary overhead costs, as that would not be incurred in traditional file processing. For example:  High initial investment in hardware, software, and training.  Ge ...
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Serializability

In concurrency control of databases, transaction processing (transaction management), and various transactional applications (e.g., transactional memory and software transactional memory), both centralized and distributed, a transaction schedule is serializable if its outcome (e.g., the resulting database state) is equal to the outcome of its transactions executed serially, i.e., sequentially without overlapping in time. Transactions are normally executed concurrently (they overlap), since this is the most efficient way. Serializability is the major correctness criterion for concurrent transactions' executions. It is considered the highest level of isolation between transactions, and plays an essential role in concurrency control. As such it is supported in all general purpose database systems. Strong strict two-phase locking (SS2PL) is a popular serializability mechanism utilized in most of the database systems (in various variants) since their early days in the 1970s.Serializability theory provides the formal framework to reason about and analyze serializability and its techniques. Though it is mathematical in nature, its fundamentals are informally (without mathematics notation) introduced below.
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