PPT - ETH Systems Group
... Exercises & Exams • Exercise Sheets – Handout in the week before it is discussed – Not graded – Please, do them before they are discussed! ...
... Exercises & Exams • Exercise Sheets – Handout in the week before it is discussed – Not graded – Please, do them before they are discussed! ...
Introduction
... • A database is a shared collection of logically related data to help multiple particular users solve multiple particular problems, possibly in the future, and as yet unknown • A database management system (DBMS) is a tool to access a database ...
... • A database is a shared collection of logically related data to help multiple particular users solve multiple particular problems, possibly in the future, and as yet unknown • A database management system (DBMS) is a tool to access a database ...
transaction
... Database consists of objects (X, Y, Z), each of them is an integer Transactions are labeled T1, T2 etc. Each transaction has a set of local variables (not accessible by other transactions) in main memory. ...
... Database consists of objects (X, Y, Z), each of them is an integer Transactions are labeled T1, T2 etc. Each transaction has a set of local variables (not accessible by other transactions) in main memory. ...
e-Commerce Data
... Copies of a database, or portions of one, in multiple locations Problems with concurrency Replicated vs. partitioned Horizontal vs. vertical partitioning Consider use vs. updating ...
... Copies of a database, or portions of one, in multiple locations Problems with concurrency Replicated vs. partitioned Horizontal vs. vertical partitioning Consider use vs. updating ...
Chapter 7: Relational Database Design
... running transactions. Recoverable schedule — if a transaction Tj reads a data items previously written by a transaction Ti , the commit operation of Ti appears before the commit operation of Tj. The following schedule (Schedule 11) is not recoverable if T9 ...
... running transactions. Recoverable schedule — if a transaction Tj reads a data items previously written by a transaction Ti , the commit operation of Ti appears before the commit operation of Tj. The following schedule (Schedule 11) is not recoverable if T9 ...
Database Performance Document
... because the log shares a disk with some frequently accessed data. Creating an index or moving data files among the different disks may be cheaper and more effective than buying extra hardware. In one real case that we know of, there was high disk activity because the database administrator had faile ...
... because the log shares a disk with some frequently accessed data. Creating an index or moving data files among the different disks may be cheaper and more effective than buying extra hardware. In one real case that we know of, there was high disk activity because the database administrator had faile ...
docx
... down, they can be changed manually, compensated for, or the database can be restored from an earlier time. System failure – If the system housing the database fails, whether by software, user error, hardware, power, or transmission of transactions, the system will be sufficiently robust that the dat ...
... down, they can be changed manually, compensated for, or the database can be restored from an earlier time. System failure – If the system housing the database fails, whether by software, user error, hardware, power, or transmission of transactions, the system will be sufficiently robust that the dat ...
CSE314 Database Systems
... Atomicity: A transaction is an atomic unit of processing; it is either performed in its entirety or not performed at all. Consistency preservation: A correct execution of the transaction must take the database from one consistent state to another. Isolation: A transaction should not make its u ...
... Atomicity: A transaction is an atomic unit of processing; it is either performed in its entirety or not performed at all. Consistency preservation: A correct execution of the transaction must take the database from one consistent state to another. Isolation: A transaction should not make its u ...
Distributed Database Management System
... several level of complexity. This kind of approach allows to improve performances, increase avaibility and reliability. Distributed architectures use a client/server approach: clients manage user interface while servers manage the database: this is a simple and widespread (among users) metodh. Altho ...
... several level of complexity. This kind of approach allows to improve performances, increase avaibility and reliability. Distributed architectures use a client/server approach: clients manage user interface while servers manage the database: this is a simple and widespread (among users) metodh. Altho ...
HAT, not CAP: Towards Highly Available Transactions
... a correct server eventually receives a response—even in the presence of partitions— while ensuring linearizability [46] (informally providing the user with the illusion of a single, centralized replica for each key). While CAP is an important result with implications for many endusers, recency guara ...
... a correct server eventually receives a response—even in the presence of partitions— while ensuring linearizability [46] (informally providing the user with the illusion of a single, centralized replica for each key). While CAP is an important result with implications for many endusers, recency guara ...
Chapter 15
... schedules are either conflict or view serializable, and are recoverable and preferably cascadeless. A policy in which only one transaction can execute at a time generates ...
... schedules are either conflict or view serializable, and are recoverable and preferably cascadeless. A policy in which only one transaction can execute at a time generates ...
Quiz 3 - Suraj @ LUMS
... a. (1 point) Is the schema in 3NF (TRUE) b. (2 points) Denormalize the schema for efficient query processing. Show all attributes including primary and foreign keys and relationships (if any). Depending on the types of queries, the database schema can be denormalized by joining customer table with t ...
... a. (1 point) Is the schema in 3NF (TRUE) b. (2 points) Denormalize the schema for efficient query processing. Show all attributes including primary and foreign keys and relationships (if any). Depending on the types of queries, the database schema can be denormalized by joining customer table with t ...
Distributed Database
... Must provide the following transparencies : – Transaction transparency? – Distribution transparency? – Failure transparency? – Performance transparency? – Heterogeneity transparency? ...
... Must provide the following transparencies : – Transaction transparency? – Distribution transparency? – Failure transparency? – Performance transparency? – Heterogeneity transparency? ...
OODB
... Versant Version 6.0 Concurrency Persistent locks support long transactions. Short locks are also provided for shorter transactions. “No-locks” for optimistic locking. ...
... Versant Version 6.0 Concurrency Persistent locks support long transactions. Short locks are also provided for shorter transactions. “No-locks” for optimistic locking. ...
CSE 510 Database Management System Implementation
... Goals The purpose of this course is to study established techniques for implementing database management systems through a semester-long project and reading materials covering the classic and cuttign-edge papers in the area of database systems. Advanced concepts, such as XML and multimedia databases ...
... Goals The purpose of this course is to study established techniques for implementing database management systems through a semester-long project and reading materials covering the classic and cuttign-edge papers in the area of database systems. Advanced concepts, such as XML and multimedia databases ...
91.309/310 Database
... Banking: all transactions Airlines: reservations, schedules Universities: registration, grades Sales: customers, products, purchases Manufacturing: production, inventory, orders, supply chain • Human resources: employee records, salaries, tax deductions ...
... Banking: all transactions Airlines: reservations, schedules Universities: registration, grades Sales: customers, products, purchases Manufacturing: production, inventory, orders, supply chain • Human resources: employee records, salaries, tax deductions ...
Link to Slides
... others. It is easier to treat such a network as a single central database system. ...
... others. It is easier to treat such a network as a single central database system. ...
Chapter 13
... graph which is derived from the labeled precedence graph by choosing one edge from every pair of edges with the same non-zero label. Schedule is view serializable if and only if such an acyclic graph can be found. The problem of looking for such an acyclic graph falls in the ...
... graph which is derived from the labeled precedence graph by choosing one edge from every pair of edges with the same non-zero label. Schedule is view serializable if and only if such an acyclic graph can be found. The problem of looking for such an acyclic graph falls in the ...
Why Transactions?
... Writers do not block Readers Readers do not block Writers Writers do block Writers ...
... Writers do not block Readers Readers do not block Writers Writers do block Writers ...
Introduction
... data between disk and main memory Buffer manager controls partitioning of main memory into block-sized regions Relies on info about data, schema, statistics, and indexes (special data structures for efficient access) CPSC 310/603 ...
... data between disk and main memory Buffer manager controls partitioning of main memory into block-sized regions Relies on info about data, schema, statistics, and indexes (special data structures for efficient access) CPSC 310/603 ...
Building Deterministic Transaction Processing Systems without
... take extra time to execute T2 —e.g., due to a cache miss occurring only on one machine since the machines could have different cache sizes—while replica B will take extra time to execute T1 —e.g., because its ALU is slower than replica A’s at certain operations. Figure 2 illustrates several possible ...
... take extra time to execute T2 —e.g., due to a cache miss occurring only on one machine since the machines could have different cache sizes—while replica B will take extra time to execute T1 —e.g., because its ALU is slower than replica A’s at certain operations. Figure 2 illustrates several possible ...