database schema

PostgreSQL: Up and Running

by Regina Obe and Leo Hsu  · 5 Jul 2012  · 205pp  · 47,169 words

querying can bring up child records from child tables. schema Schemas are part of the ANSI-SQL standards, so you’ll see them in other databases. Schemas are the logical containers of tables and other objects. Each database can have multiple schemas. tablespace Tablespace is the physical location where data is stored

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perform a backup or restore using pg_restore and pg_dump? pgAdmin has a nice interface that’ll let you selectively back up and restore databases, schemas, single tables, and globals, and the message tab shows you the command line pg_dump or pg_restore it used to do it. Grant Wizard

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. To back up selective objects right-mouse click on the object you want to back up and select Backup .... You can back up a whole database, schema, table, or anything else. Figure 4-11. PgAdmin Right-click Backup Schema If all you wanted to back up was that one object, you can

Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems

by Martin Kleppmann  · 16 Mar 2017  · 1,237pp  · 227,370 words

written before Dec 8, 2013 don't have first_name user.first_name = user.name.split(" ")[0]; } On the other hand, in a “statically typed” database schema, you would typically perform a migration along the lines of: ALTER TABLE users ADD COLUMN first_name text; UPDATE users SET first_name = split_part

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, and each column becomes a field in that record. The column name in the database maps to the field name in Avro. Now, if the database schema changes (for example, a table has one column added and one column removed), you can just generate a new Avro schema from the updated

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database schema and export data in the new Avro schema. The data export process does not need to pay any attention to the schema change—it can

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, if you were using Thrift or Protocol Buffers for this purpose, the field tags would likely have to be assigned by hand: every time the database schema changes, an administrator would have to manually update the mapping from database column names to field tags. (It might be possible to automate this, but

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inconsistency, Timeliness and Integrity evolvability, Evolvability: Making Change Easy, Encoding and Evolutioncalling services, Data encoding and evolution for RPC graph-structured data, Property Graphs of databases, Schema flexibility in the document model, Dataflow Through Databases-Archival storage, Deriving several views from the same event log, Reprocessing data for application evolution of message

Seven Databases in Seven Weeks: A Guide to Modern Databases and the NoSQL Movement

by Eric Redmond, Jim Wilson and Jim R. Wilson  · 7 May 2012  · 713pp  · 93,944 words

like. Since these are all contributed packages, the implementations are special to PostgreSQL and not part of the SQL standard. Commonly, when designing a relational database schema, you’ll start with an entity diagram. We’ll be writing a personal movie suggestion system that keeps track of movies, their genres, and their

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data between the database model and application model. Not-So-Good For: If you’re used to performing elaborate join queries on highly normalized relational database schemas, you’ll find the capabilities of document databases lacking. A document should generally contain most or all of the relevant information required for normal use

Monolith to Microservices: Evolutionary Patterns to Transform Your Monolith

by Sam Newman  · 14 Nov 2019  · 355pp  · 81,788 words

weren’t undergoing active maintenance, meaning there was no chance that they would be updated to reflect a new schema design.2 In effect, our database schema had become a public-facing contract that couldn’t change: we had to maintain that schema structure going forward. Views to Present Our solution was

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hiding, whereas physical decomposition potentially improves system robustness, and could help remove resource contention allowing for improved throughput or latency. When we logically decompose our database schemas but keep them on the same physical database engine, as in Figure 4-24, we have a potential single point of failure. If the database

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up as separate JAR files), as shown in Figure 4-28. Figure 4-28. Each bounded context in the Revenue service had its own separate database schema, allowing separation later on Each bounded context had its own, totally separate databases. The idea was that if there was a need to separate them

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N-version programming, Example: Homegate Listings networkslatencies and failures, What Problems Do They Create? microservices communicating via, What Are Microservices? NGINX proxy, Proxy Options NoSQL databases, Schema Separation Examples O observability, Toward observability operationsDevOps not meaning NoOps, It’s Not One Size Fits All embedding operations team members in delivery teams, It

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quality feedback cycles R Refactoring Databases (Ambler and Sadalage), What would I do? refactoring the monolith, Refactoring the Monolith registries for microservices, Potential Solutions relational databases, Schema Separation Examples Release It! (Nygard), Potential Solutions release-on-demand techniques, Deployment coupling releasesautomated release remediation, Use automated release remediation and progressive delivery deployment versus

Learning Android

by Marko Gargenta  · 11 Mar 2011  · 378pp  · 67,804 words

of my readers already know it. However, this chapter should give you enough to get started, even if your knowledge of databases is spotty. The Database Schema and Its Creation A schema is just a description of what’s in a database. In our Yamba database, for instance, we want fields for

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of the device you are currently looking at. So far, you know that the database file is there, but don’t really know whether the database schema was created properly. The next section addresses that. Using sqlite3 Android ships with the command-line tool sqlite3. This tool gives you access to the

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database itself. To see whether your database schema was created properly: Open up your terminal or command-line window. Type adb shell to connect to your running emulator or physical phone. Change the

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the Manifest File D .d() severity level, Logging in Android Dalvik, Dalvik databases, The Database, The Database Schema and Its Creation, Database Constraints, Creating the TimelineActivity Class constraints on, Database Constraints overview, The Database schema, creating, The Database Schema and Its Creation working with, Creating the TimelineActivity Class DbHelper, DbHelper DDMS, Setting Up Android Development Tools

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Preferences onCreate() method, Creating Your Application-Specific Object and Initialization Code, PrefsActivity, Shared Preferences, Creating the UpdaterService Java Class, Creating the UpdaterService Java Class, The Database Schema and Its Creation, First Example, Update UpdaterService, Creating the TimelineActivity Class onCreateOptions() method, Toggle Service onCreateOptionsMenu() method, The Options Menu, Update StatusActivity to Load the

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() method, Common Steps in Using System Services onTerminate() method, The YambaApplication Class onUpdate() method, Implementing the YambaWidget class, Implementing the YambaWidget class onUpgrade() method, The Database Schema and Its Creation, First Example Open Handset Alliance, Android Overview, Open Handset Alliance open source platform, Open Source Platform OpenGL, Native Libraries OpenJDK, Dalvik OpenSSL

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Rose Widget run() method, Looping in the Service, Refactoring Status Data Running State, Running state, Common Steps in Using System Services S schema, database, The Database Schema and Its Creation Schmidt, Eric, History SDCard partition, Filesystem Partitions SDK (Software Development Kit), Installing the Android SDK, Creating a New Project, The Emulator, Android

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for Internet Permission, AsyncTask, Other UI Events, Other UI Events, Other UI Events, Shared Preferences, UpdaterService, Pulling Data from Twitter, Pulling Data from Twitter, The Database Schema and Its Creation, Update UpdaterService, Lists and Adapters 140-character counter, Other UI Events, Other UI Events creating compatible apps, Creating Your Application-Specific Object

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, Lists and Adapters example of app, A Real-World Example, Broadcast Receivers pulling data from, UpdaterService, Pulling Data from Twitter, Pulling Data from Twitter, The Database Schema and Its Creation, Update UpdaterService and Yamba, The Yamba Application U UI (user interface), Part 1: Android User Interface, Two Ways to Create a User

Data Mining: Concepts and Techniques: Concepts and Techniques

by Jiawei Han, Micheline Kamber and Jian Pei  · 21 Jun 2011

, where attributes such as street can be generalized to higher-level concepts, like city or country. Many hierarchies for nominal attributes are implicit within the database schema and can be automatically defined at the schema definition level. Recall that there is much overlap between the major data preprocessing tasks. The first three

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of concept hierarchies can be a tedious and time-consuming task for a user or a domain expert. Fortunately, many hierarchies are implicit within the database schema and can be automatically defined at the schema definition level. The concept hierarchies can be used to transform the data into multiple levels of granularity

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location, the user may have specified only street and city. To handle such partially specified hierarchies, it is important to embed data semantics in the database schema so that attributes with tight semantic connections can be pinned together. In this way, the specification of one attribute may trigger a whole group of

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an enterprise or department, without referring to historic data or data in different organizations. In contrast, an OLAP system often spans multiple versions of a database schema, due to the evolutionary process of an organization. OLAP systems also deal with information that originates from different organizations, integrating information from many data stores

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, Snowflakes, and Fact Constellations: Schemas for Multidimensional Data Models The entity-relationship data model is commonly used in the design of relational databases, where a database schema consists of a set of entities and the relationships between them. Such a data model is appropriate for online transaction processing. A data warehouse, however

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location. Due to space limitations, not all of the hierarchy nodes are shown, indicated by ellipses between nodes. Many concept hierarchies are implicit within the database schema. For example, suppose that the dimension location is described by the attributes number, street, city, province_or_state, zip_code, and country. These attributes are

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.”1 This lattice structure is shown in Figure 4.10(b). A concept hierarchy that is a total or partial order among attributes in a database schema is called a schema hierarchy. Concept hierarchies that are common to many applications (e.g., for time) may be predefined in the data mining system

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the most specific abstraction level of this hierarchy. It consists of the raw data values. Concept hierarchies for nominal attributes are often implicit within the database schema, in which case they may be automatically generated using methods such as those described in Chapter 3. For our example, the concept hierarchy of Figure

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mining process. Metarules may be based on the analyst's experience, expectations, or intuition regarding the data or may be automatically generated based on the database schema. Metarule-guided mining Suppose that as a market analyst for AllElectronics you have access to the data describing customers (e.g., customer age, address, and

Ajax: The Definitive Guide

by Anthony T. Holdener  · 25 Jan 2008  · 982pp  · 221,145 words

Rajiv Parida (Laxmi Publications) and The Art of SQL by Stéphane Faroult and Peter Robson (O’Reilly) are good places to start for information on database schemas. Other resources include Advanced Topics in Database Research by Keng Siau (Ed.) (Idea Group Publishing) and Oracle Essentials: Oracle Database 10g, Third Edition, by Rick

PostgreSQL 9 Admin Cookbook: Over 80 Recipes to Help You Run an Efficient PostgreSQL 9. 0 Database

by Simon Riggs and Hannu Krosing  · 23 Oct 2010  · 360pp  · 96,275 words

you don't have logging enabled, or don't have all the logs, then you can get only very limited information on who changed the database schema and when from system tables, and even that is not reliable. What you can can get is the "owner" of the database object (table, sequence

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this way, as we will see in later recipes. Databases, users/roles, languages, conversions don't exist in a schema. Schemas exist in a particular database. = Schemas don't exist within schemas; they are not arranged in a tree or hierarchy. There's more... Text search objects exist in a specific schema

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left for use by in-page (HOT) updates. Rewriting the schema—a more radical approach In some occasions, it may make sense to rewrite the database schema, and provide an old view for unchanged queries using views, triggers, rules, and functions. One such case occurs when refactoring the database, and you want

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basic command to dump the definitions only is to use the following: pg_dumpall ––schema-only > myscriptdump.sql Which includes all objects, including roles, tablespaces, databases, schemas, tables, indexes, triggers, constraints, views, functions, ownership, and privileges. If you want to dump PostgreSQL role definitions, you can use the following: pg_dumpall -–roles

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, also known as a "namespace". Be careful that you don't confuse what is happening here. The ––schema-only option makes a backup of the "database schema" the definitions of all objects in the database (and in all namespaces). To make a backup of the data and definitions in just one namespace

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simple matter of editing those files. ff create_struct.sh performs a dump from Master and a restore to the slave of the database schema. This dumps the whole database schema. ff 02_exec_init.sh executes the scripts. This copies the data, so may take a while. Maintaining replication Slony doesn't replicate

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: 376 pages 99 great recipes for mastering MySQL configuration and administration 1. Set up MySQL to perform administrative tasks such as efficiently managing data and database schema, improving the performance of MySQL servers, and managing user credentials 2. Deal with typical performance bottlenecks and lock-contention problems 3. Restrict access sensibly and

Programming Android

by Zigurd Mednieks, Laird Dornin, G. Blake Meike and Masumi Nakamura  · 15 Jul 2011

of SQLite, which is convenient for data storage and presentation. SQLite also has a command-line interface, and the sqlite3 command enables developers to dump database schemas and perform other operations on Android databases. These databases are, of course, in an Android device, or they are contained in an AVD, and therefore

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help you to begin using our job database. Note The tables created by SQL CREATE TABLE statements and the attributes they contain are called a database schema. DROP TABLE This removes a table added with the CREATE TABLE statement. It takes the name of the table to be deleted. On completion, any

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TEXT, height_in_meters REAL); DROP TABLE contacts; When entering commands through sqlite3, you must terminate each command with a semicolon. You may change the database schema after you create tables (which you may want to do to add a column or change the default value of a column) by entering the

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2.2, you cannot rely on a foreign key constraint to catch incorrect foreign key references, so you will need to take care when creating database schemas that use foreign keys. There are several other constraints with less far-reaching effects: UNIQUE Forces the value of the given column to be different

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.oreilly.demo.pa.finchvideo/databases/simple_video.db. DATABASE_VERSION This defines the database version, which you choose arbitrarily and increment whenever you change the database schema. If the version of the database on the machine is less than DATABASE_VERSION, the system runs your onUpgrade method to upgrade the database to

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for very small projects that will not change much over time. Applications directly containing database code have some added risk of fragility, because when the database schema changes, any code that references the schema must be examined and potentially rewritten. A common middle-ground approach is to sequester all the database logic

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, Communication, Identity, Sync, and Social Media, Account Contacts Java supported, Primitive Types JNI calls and, Conventions on the Native Method Side SQLite supported, SQLite types database schemas, SQL Data Definition Commands, Database constraints defined, SQL Data Definition Commands foreign key constraints, Database constraints database triggers, Additional Database Concepts databases, Relational Database Overview

Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems

by Martin Kleppmann  · 17 Apr 2017

written before Dec 8, 2013 don't have first_name user.first_name = user.name.split(" ")[0]; } On the other hand, in a “statically typed” database schema, you would typically per‐ form a migration along the lines of: ALTER TABLE users ADD COLUMN first_name text; UPDATE users SET first_name = split

…

, and each column becomes a field in that record. The column name in the database maps to the field name in Avro. Now, if the database schema changes (for example, a table has one column added and one column removed), you can just generate a new Avro schema from the updated

…

database schema and export data in the new Avro schema. The data export process does not need to pay any attention to the schema change—it can

…

, if you were using Thrift or Protocol Buffers for this purpose, the field tags would likely have to be assigned by hand: every time the database schema changes, an administrator would have to manually update the mapping from data‐ base column names to field tags. (It might be possible to automate this

Apache Solr 3 Enterprise Search Server

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PostgreSQL: Up and Running, 3rd Edition

by Unknown

Essential SQLAlchemy

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PostGIS in Action

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RDF Database Systems: Triples Storage and SPARQL Query Processing

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Scala in Action

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