[Altibase] 1-4 data differentiation
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The document discusses how data properties change over time and the implications for data storage and processing. Hot data that is accessed frequently is best stored in memory databases, while cold data that is rarely accessed is better suited to disk databases. A hybrid database management system that combines memory and disk storage into a single engine can optimize efficiency by reducing administration, management and storage costs compared to separate memory and disk database systems.
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The document describes different types of replication conflicts that can occur during replication including insert, update, and delete conflicts. It also provides examples of how conflicts may arise from concurrent insert, update, and delete operations on different nodes and how they are resolved. The key methods for resolving replication conflicts include a user-oriented scheme, timestamps-based scheme, and master-slave scheme.
[Altibase] 10 replication part3 (system design)
This document discusses different types of database replication including lazy and eager replication. Lazy replication does not block the master transaction during replication, while eager replication replicates transactions synchronously using two-phase commit. Replication can be active-active, allowing modifications from all nodes, or active-standby, allowing modifications from only the active node. There is a tradeoff between replication delay and performance, with lazy replication having less delay but slower performance than eager replication. The document also provides examples of how to configure different replication topologies depending on the system requirements.
[Altibase] 9 replication part2 (methods and controls)
The document discusses replication in ALTIBASE HDB. It describes the query processor and storage manager roles in handling SQL statements and data. It then summarizes 6 methods for replicating data between servers and explains that method 5, which converts redo logs to a replayable logical form and sends them, has good replication performance with some conversion expense. The document also provides details on replication objects, conditions for replication tables, and commands for creating, controlling, and cloning replication objects and tables.
[Altibase] 8 replication part1 (overview)
This document discusses high availability and database replication techniques. It describes a non-stop service system that aims to minimize downtime through planned and unplanned maintenance. High availability ensures near 100% uptime through techniques implemented at the software and hardware levels. Database replication synchronizes databases across nodes to enable failover. There are two main architectures: shared nothing uses replication over a network while shared disk shares storage. Key considerations in choosing an approach include performance, costs, distance between nodes, and data consistency. The document then outlines the features and benefits of database replication, including its use for high availability, load balancing, and disaster recovery.
[Altibase] 7 how the buffer is managed in altibase
The document discusses database buffering and buffer pool management. It defines key terms like buffer, buffer replacement, and victim. The buffer is a memory space where disk pages are loaded to improve performance. When new pages are loaded, they may replace (victim) existing pages in the buffer. Each buffer frame holds a single disk page. Buffer frames have states like free, clean, or dirty. A buffer control block (BCB) manages metadata for each frame, tracking its state and location on lists like LRU, flush, and prepare lists that help manage replacement and flushing of pages.
[Altibase] 6 what is the mvcc
Concurrency control methods like locking prevent data inconsistencies when multiple transactions access the same data concurrently. There are two main concurrency control techniques: single-version concurrency control (SVCC) and multi-version concurrency control (MVCC). SVCC uses locking and only maintains a single version of each record, while MVCC creates new versions of records during updates to allow concurrent read and write operations without locking. MVCC has better performance for environments with frequent transactions.
[Altibase] 5 durability
A transaction is a logical unit of work that consists of one or more SQL statements. Transaction management controls concurrency and maintains data consistency by ensuring transactions have the properties of atomicity, consistency, isolation, and durability (ACID). Transaction durability guarantees that committed transactions persist even after a system failure by writing log records to disk before acknowledging the commit. There is a tradeoff between high durability, which ensures data safety but reduces performance, and lower durability, which improves performance but reduces safety in the event of certain failures.
[Altibase] 4-4 disk tablespace
Space in disk tablespaces is allocated in 256K extents to tables, with pages having a status of free or used. DELETE changes used page status to free within a table, while TRUNCATE returns all allocated pages to the tablespace as free for any table to use. MOVE has the same effect as DELETE by keeping pages free within the table. Compaction cannot be done on disk tables.
[Altibase] 4-3 volatile tablespace
This document describes a volatile tablespace in Oracle Database. A volatile tablespace stores data only in memory with no disk-resident components like checkpoint image files or logs. This provides the highest performance for data manipulation language operations compared to other tablespaces because there is no disk input/output or logging involved.
[Altibase] 4-2 memory tablespace
Memory tablespaces store memory-resident data and use checkpoint image files on disk to recover that data if needed. Space in a memory tablespace is allocated in 32KB pages that have a status of either free or used. When data is deleted from a table, the empty pages' status changes to free within that table but they are not returned to the tablespace until compaction. Truncating a table returns all its pages to the tablespace as free.
[Altibase] 4-1 tablespace concept
Tablespaces are the logical structures that store database objects like tables and indexes. A database consists of one or more tablespaces, with each tablespace made up of segments, extents, and pages stored either in memory or on disk. Altibase provides different types of tablespaces classified by data properties like memory or disk, and by time of creation as either system or user tablespaces.
[Altibase] 3-3 directory contents
The $ALTIBASE_HOME directory contains various subdirectories that store important Altibase files including configuration files, data files, log files, library files, sample programs, and trace files. Key subdirectories include bin for execution files, conf for configuration files, lib for library files, include for header files, logs for redo log and anchor files, and trc for trace files recording the current Altibase status. The directory also contains utilities like Audit for data replication consistency checks and directories for archived logs, messages, and database samples.
[Altibase] 3-1 architecture
This document describes the various components involved in managing memory, data, logs, and files for a database system. Key components include the buffer pool, log buffer, dispatcher, session manager, checkpoint memory ager, buffer flusher, log flusher, logfile manager, archive process, and load balancer. Other aspects mentioned are redo logfiles, datafiles, checkpoint image files, loganchor files, properties file, password file, trace files, SQL plan cache, and temporary files.
[Altibase] 2-4 sql functions
AltiBase HDB supports standard SQL features such as subqueries, joins, hierarchical queries, array processing, and DML operations on views. It does not support some object-oriented features from ANSI-SQL1999 and parallel selects, though it can perform parallel inserts and index builds.
[Altibase] 2-3 general functions
Altibase HDB supports stored procedures, functions, packages, views, sequences, queues, monitoring views, roles, DB links, synonyms, table partitioning, user defined types in procedures, cluster objects, on-line backup, XML, and auto-extending databases. Triggers are supported except before update triggers, and materialized views but not snapshots are supported.
[Altibase] 2-2 Altibase storage
A database consists of one or more tablespaces which can be either memory or disk tablespaces. A memory tablespace contains 32KB pages while a disk tablespace contains 8KB pages organized into segments, extents, and pages. Segments in disk tablespaces contain multiple 512KB extents which each contain 64 pages.
[Altibase] 2-1 features
AltiBase HDB is a relational, client-server DBMS that uses multi-threading and supports high availability through replication at the table level, with separate instances, individual storage, and schemas for each replicated data set. It supports 64-bit mode, row-level locking with MVCC, recovery from datafiles and redo logfiles with automatic deadlock detection and recovery.
[Altibase] 1-5 hybrid dbms
Hybrid DBMS combines an in-memory and disk-based database management system (DBMS) so that users only need to access a single DBMS rather than separate in-memory and disk DBMS. It stores data and tables both in memory and disk storage layers with the Altibase HDB managing the data across the different storage mediums in a unified manner for users.
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[Altibase] 12 replication part5 (optimization and monitoring)
[Altibase] 12 replication part5 (optimization and monitoring)
[Altibase] 11 replication part4 (conflict resolution)
[Altibase] 11 replication part4 (conflict resolution)
[Altibase] 9 replication part2 (methods and controls)
[Altibase] 9 replication part2 (methods and controls)
[Altibase] 7 how the buffer is managed in altibase
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- 1. Changes in data properties by time Past 10 years Past 6 months Recent Past 1 year HOT DATA, real-time processing, data access rate 80% WARM DATA, moderate real-time processing, data access rate 10% TEPID DATA, large-capacity processing, data access rate 7% COLD DATA, storing historical data, data access rate 3% Data properties change System requirements It is necessary to separate Hot Data and Cold Data for Optimized processing IDC : Worldwide Disk Storage System Forecast 2006-2010
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