VoltDB

Author: u | 2025-04-23

Volt Active Data; Feedback/Discuss; Books . VoltDB Tutorial; Using VoltDB; VoltDB Guide to Performance and Customization; VoltDB Administrator's Guide; Volt Kubernetes Administrator's Guide; VoltDB Quick Reference; VoltDB V14. VoltDB V14; VoltDB V13.3 LTS; VoltDB V12.3 LTS; VoltDB V11.4 LTS; VoltDB V10.2 LTS; VoltDB V9.3 LTS;

Download VoltDB Studio by VoltDB, Inc.

Chapter 2. Installing VoltDBDocumentation VoltDB is available in both open source and commercial editions. The open source, or community, edition provides all the transactional performance benefits of VoltDB, plus basic durability and availability. The commercial editions provide additional features needed to support production environments, such as complete durability, dynamic scaling, and WAN replication.Depending on which version you choose, the VoltDB software comes as either pre-built distributions or as source code. This chapter explains the system requirements for running VoltDB, how to install and upgrade the software, and what resources are provided in the kit.2.1. Operating System and Software RequirementsThe following are the requirements for developing and running VoltDB applications.Table 2.1. Operating System and Software RequirementsOperating SystemVoltDB requires a 64-bit Linux-based operating system. Kits are built and qualified on the following platforms:CentOS version 6.6 or later, including 7.0 and laterRed Hat (RHEL) version 6.6 or later, including 7.0 and laterUbuntu versions 14.04, 16.04, and 18.04Development builds are also available for Macintosh OS X 10.9 and later1.CPUDual core2 x86_64 processor64 bit1.6 GHzMemory4 Gbytes3Java4VoltDB Server: Java 8 or Java 11Java and JDBC Client: Java 8 or Java 11Required SoftwareNTP5Python 2.6 or later (2.7 is recommended)Recommended SoftwareEclipse 3.x (or other Java IDE)Footnotes:CentOS 6.6, CentOS 7.0, RHEL 6.6, RHEL 7.0, and Ubuntu 14.04, 16.04 and 18.04 are the only officially supported operating systems for VoltDB. However, VoltDB is tested on several other POSIX-compliant and Linux-based 64-bit operating systems, including Macintosh OS X 10.9.Dual core processors are a minimum requirement. Four or eight physical cores are recommended for optimal performance.Memory requirements are very specific to the storage needs of the application and the number of nodes in the cluster. However, 4 Gigabytes should be considered a minimum configuration.VoltDB supports JDKs from OpenJDK or Oracle/Sun.NTP minimizes time differences between nodes in a database cluster, which is critical for VoltDB. All nodes of the cluster should be configured to synchronize against the same NTP server. Using a single local NTP server is recommended, but not required. 2.3. Configure Memory ManagementDocumentation Because VoltDB is an in-memory database, proper memory management is vital to the effective operation of VoltDB databases. Three important aspects of memory management are:SwappingMemory Mapping (Transparent Huge Pages)Virtual memoryThe following sections explain how best to configure these features for optimal performance of VoltDB.2.3.1. Disable SwappingSwapping is an operating system feature that optimizes memory usage when running multiple processes by swapping processes in and out of memory. However, any contention for memory, including swapping, will have a very negative impact on VoltDB performance and functionality. You should disable swapping when using VoltDB.To disable swapping on Linux systems, use the swapoff command. Alternately, you can set the kernel parameter vm.swappiness to zero.2.3.2. Disable Transparent Huge PagesTransparent Huge Pages (THP) are another operating system feature that optimizes memory usage for systems with large amounts of memory. THP changes the memory mapping to use larger physical pages. This can be helpful for general-purpose computing running multiple processes. However, for memory-intensive applications such as VoltDB, THP can actually negatively impact performance.Therefore, it is important to disable Transparent Huge Pages on servers running VoltDB. The following commands, run as root or from another privileged account, disable THP:$ echo never >/sys/kernel/mm/transparent_hugepage/enabled $ echo never >/sys/kernel/mm/transparent_hugepage/defragOr:$ echo madvise >/sys/kernel/mm/transparent_hugepage/enabled $ echo madvise >/sys/kernel/mm/transparent_hugepage/defragFor RHEL systems (including CentOS), replace "transparent_hugepage" with "redhat_transparent_hugepage".Note, however, that these commands disable THP only while the server is running. Once the server reboots, the default setting will return. Therefore, we recommend you disable THP permanently as part of the startup process. For example, you can add the following commands to a server startup script (such as /etc/rc.local):#!/bin/bashfor f in /sys/kernel/mm/*transparent_hugepage/enabled; do if test -f $f; then echo never > $f; fidonefor f in /sys/kernel/mm/*transparent_hugepage/defrag; do if test -f $f; then echo never > $f; fidone THP are enabled by

VoltDB/voltdb-client-erlang: VoltDB Erlang Client Driver - GitHub

Default in Ubuntu 14.04 and later as well as RHEL 6.x and 7.x. To see if they are enabled on your current system, use either of the following pair of commands:$ cat /sys/kernel/mm/transparent_hugepage/enabled$ cat /sys/kernel/mm/transparent_hugepage/defrag$ cat /sys/kernel/mm/redhat_transparent_hugepage/enabled$ cat /sys/kernel/mm/redhat_transparent_hugepage/defragIf THP is disabled, the output from the preceding commands should be either “always madvise [never]” or “always [madvise] never”.2.3.3. Enable Virtual Memory Mapping and OvercommitAlthough swapping is bad for memory-intensive applications like VoltDB, the server does make use of virtual memory (VM) and there are settings that can help VoltDB make effective use of that memory. First, it is a good idea to enable VM overcommit. This avoids VoltDB encountering unnecessary limits when managing virtual memory. This is done on Linux by setting the system parameter vm.overcommit_memory to a value of "1".$ sysctl -w vm.overcommit_memory=1Second, for large memory systems, it is also a good idea to increase the VM memory mapping limit. So for servers with 64 Gigabytes or more of memory, the recommendation is to increase VM memory map count to 1048576. You do this on Linux with the system parameter max_map_count. For example:$ sysctl -w vm.max_map_count=1048576Remember that for both overcommit and the memory map count, the parameters are only active while the system is running and will be reset to the default on reboot. So be sure to add your new settings to the file /etc/sysctl.conf to ensure they are in effect when the system is restarted.. Volt Active Data; Feedback/Discuss; Books . VoltDB Tutorial; Using VoltDB; VoltDB Guide to Performance and Customization; VoltDB Administrator's Guide; Volt Kubernetes Administrator's Guide; VoltDB Quick Reference; VoltDB V14. VoltDB V14; VoltDB V13.3 LTS; VoltDB V12.3 LTS; VoltDB V11.4 LTS; VoltDB V10.2 LTS; VoltDB V9.3 LTS; Code that corresponds to released versions of VoltDB are tagged voltdb-X.X or voltdb-X.X.X . To build corresponding OSS VoltDB versions, use these tags. Building VoltDB

VoltDB How-To: Downloading and Running VoltDB - YouTube

Username with the --user argument but not the --password argument, VoltDB prompts for the password. This is useful when writing shell scripts because it avoids having to hardcode passwords as plain text in the script.--port={port-number}Specifies the network port to use when connecting to the database. If you do not specify a port, csvloader uses the default client port 21212.-p, --procedure={procedure-name}Specifies a stored procedure to use for loading each record from the data file. The named procedure must exist in the database schema and must accept the fields of the data record as input parameters. By default, csvloader uses a custom procedure to batch multiple rows into a single insert operation. If you explicitly name a procedure, batching does not occur.--quotechar={character}Specifies the quotation character that is used to enclose values. By default, the quotation character is the double quotation mark (").-r, --reportdir={directory}Specifies the directory where csvloader writes the three output files. By default, csvloader writes output files to the current working directory. This argument lets you redirect output to an alternative location.--s, --servers={server-id}[,...]Specifies the network address of one or more nodes of a database cluster. When specifying an IPv6 address, enclose the address in square brackets. By default, csvloader attempts to insert the CSV data into a database on the local system (localhost). To load data into a remote database, use the --servers argument to specify the database nodes the loader should connect to.--separator={character}Specifies the character used to separate individual values in the input. By default, the separator character is the comma (,).--skip={integer}Specifies the number of lines from the input stream to skip before inserting rows into the database. This argument (along with --limitrows) lets you load a subset of a larger CSV file.--ssl={ssl-config-file}Specifies the use of TLS encryption when communicating with the server. Only necessary if the cluster is configured to use TLS encryption for the external ports. See the section called “Using CLI Commands with TLS/SSL” for more information.--stopondisconnectSpecifies that if connections to all of the VoltDB servers are broken, the loader will stop. Normally, if the connection to the database is lost, csvloader periodically attempts to reconnect until the servers come back online and it can complete the loading process. However, you can use this argument to have the loader process stop if the VoltDB cluster becomes unavailable.--strictquotesSpecifies that all values in the CSV input must be enclosed in quotation marks. If you use this argument, any input The moment, databases such MemSQL and VoltDB are suited to some tasks but not others (by the companies' own admission). In some respects, they're limited by amount of memory your systems have (though data can spill onto disks). And according to Andy Gross, the principal architect at Basho, an outfit that offers a NoSQL database called Riak, the NoSQL crowd is slowly improving their software so that they too can provide the sort of consistency you get from VoltDB and MemSQL.The point, Gross says, is that the entire database world is evolving. So many databases -- whether they're tagged NoSQL or NewSQL -- are inching towards a new reality where we can store data across an enormous number of machines but still change and analyze it as if it was stored on a single system.Google has already reached this nirvana with a creation it calls Spanner. This mind-boggling software platform spans the globe -- literally -- but thanks to some ingenuous engineering involving GPS devices and atomic clocks, it can treat that world of data as if it's in one place.Barry Morris, the CEO and founder of NuoDB, says that his company has already brought Spanner-like technology to the masses. "Part of the magic of NuoDB," he says, "is that we can do it without atomic clocks." Others, such as Stonebraker, are skeptical, saying that unlike Spanner, NuoDB is still burdened by a lag time that would preclude rapid-fire database transactions. But at the very least, it's a step in the Google direction. And many others are moving the same way.

Using VoltDB - downloads.voltdb.com

Statements, the same rules apply except the SQL statement itself determines whether VoltDB executes it as a single-partitoned or multi-partitioned procedure. Statements that modify a partitioned table based on a specific value of the partitioning column are executed as single-partitioned procedures. All other statements are multi-partitioned.ExamplesThe following examples use two tables, Employee and Manager, both of which define the column emp_id as a primary key. In the first example, the UPSERT statement either creates a new row with the specified values or updates an existing row with the primary key 145303.UPSERT INTO employee (emp_id, lastname, firstname, title, department) VALUES (145303, 'Public', 'Jane', 'Manager', 'HR');The next example copies records from the Employee table to the Manager table, if the employee's title is "Manager". Again, new records will be created or existing records updated depending on whether the employee already has a record in the Manager table. UPSERT INTO Manager (emp_id, lastname, firstname, title, department) SELECT * from Employee WHERE title='Manager' ORDER BY emp_id;

Using VoltDB - downloads.voltactivedata.com

RazorSQL 10.0.8 SQL 資料庫查詢、管理 英文版RazorSQL 10.0.8 SQL 資料庫查詢、管理 英文版-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=HoneRiSO Rip -=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=軟體名稱: RazorSQL 10.0.8 語系版本: 英文版 光碟片數: 單片裝 保護種類: 序號 破解說明: 見最底下系統支援: 適用 32 與 64 位元版的 Windows XP/Vista/7/8/8.1/10/11(原生 64 位元) 硬體需求: PC 軟體類型: SQL 資料庫查詢、管理 更新日期: 2022.09.11 軟體發行: Richardson Software(O.D) 官方網站: 中文網站: 無 軟體簡介: (以官方網站為準) -=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=RazorSQL 是一套 SQL 查詢工具、資料庫瀏覽器、SQL 編輯器以及管理工具。 RazorSQL 已超過 30 資料庫測試，可以通過 JDBC 或 ODBC 連接到資料庫，包括 支援以下資料庫： - Athena - Aurora - BigQuery - Cassandra - DB2 - DBASE - Derby - Druid - DynamoDB - Filemaker - Firebird - Frontbase - Greenplum - H2 - Hive - HSQLDB - Informix - Ingres - Interbase - Int.Sys. Cache - JavaDB - kdb+ - MariaDB - Microsoft Access - Mimer SQL - MongoDB - MonetDB - MS SQL Server - MySQL - Netezza - OpenBase - Oracle - Paradox - Pervasive - PostgreSQL - Redshift - Salesforce - SimpleDB - Snowflake - solidDB - SQLite - SQL Anywhere - SQL Azure - Sybase (ASE) - Sybase IQ - Teradata - Vertica - VoltDB 介紹 -=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-= 站長安裝測試環境與安裝說明:-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=‧測試環境 Windows 11.21H2 ６４位元繁體中文企業版、AMD CPU、4 GB 記憶體。 ‧見光碟 "安裝說明.txt" 中文說明 -=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=. Volt Active Data; Feedback/Discuss; Books . VoltDB Tutorial; Using VoltDB; VoltDB Guide to Performance and Customization; VoltDB Administrator's Guide; Volt Kubernetes Administrator's Guide; VoltDB Quick Reference; VoltDB V14. VoltDB V14; VoltDB V13.3 LTS; VoltDB V12.3 LTS; VoltDB V11.4 LTS; VoltDB V10.2 LTS; VoltDB V9.3 LTS;

2.2. Installing VoltDB - community.voltactivedata.com

Us is transactions. If you want to move $100 from one bank account to another, you need transactions.'Mike StonebrakerThe new in-memory databases can handle more data more quickly, but they also give you the power to treat all that data as a whole. This is called "consistency," and basically, it means that someone looking at the data from one place sees the same thing as someone looking at it from another. If you don't have consistency, you can't analyze your data with complete accuracy -- and you certainly can't handle something as delicate as online bank transactions. "People care about whether their bank accounts remember their money," says Barry Morris, founder and CEO of NuoDB.Over the past several years, we've seen the rise what the pundits call "NoSQL" databases, including MongoDB and Cassandra. This is a loose term, but generally, it refers to a new breed of web-centric database designed to scale across many machines. They let us store more data, but they aren't quite nimble enough to slice and dice it the way we can with a traditional database built for a single machine.They can't use the familiar SQL language that businesses have long used to query their data, and typically, they can't maintain consistency across large datasets. With traditional SQL databases, for instance, you can use a command to instantly "JOIN" two separate datasets, so that you can then analyze them collectively. That's not something you can typically do with NoSQL.Frenkiel and his MemSQL co-founder Shamgunov bill their creation as antidote to the limitations of the NoSQL brigade. Using a term first coined by a well-known industry analyst, Frenkiel calls their product as a "NewSQL" database. Like the NoSQL databases, he says, it scales across many machines, but unlike those older creations, it lets you query your data with tried-and-true SQL, and it provides the consistency you need for transactional applications -- or at least some of them. "You could use us to run a website," Shamgunov says.Mike Stonebraker -- best described as the high priest of the database world -- delivers much the same message when discussing his own in-memory database, VoltDB. "The difference between NoSQL and us is transactions," he explains "If you want to move $100 from one bank account to another, you need transactions." The NewSQl market, Stonebraker says, is on "a rocketship."Mike Stonebraker.Photo: Wikipedia CommonsBut the story is more complicated than that. At