Download MemSQL

Result in sub-optimal cluster performance. In addition, SingleStore recommends that each Master Aggregator and child aggregator reside on its own host when deploying SingleStore in a production environment. Notes on Users and Groups The user that deploys SingleStore via SingleStore Toolbox must be able to SSH to each host in the cluster. When singlestoredb-server is installed via an RPM or Debian package when deploying SingleStore, a memsql user and group are also created on each host in the cluster. This memsql user does not have a shell, and attempting to log in or SSH as this user will fail. The user that deploys SingleStore is added to the memsql group. This group allows most Toolbox commands to run without sudo privileges, and members of this group can perform many Toolbox operations without the need to escalate to sudo. Users who desire to run SingleStore Toolbox commands must be added to the memsql group on each host in the cluster. They must also be able to SSH to each host. Manually creating a memsql user and group is only recommended in a sudo-less environment when performing a tarball-based deployment of SingleStore. In order to run SingleStore Toolbox commands against a cluster, this manually-created memsql user must be configured so that it can SSH to each host in the cluster. Minimal Deployment SingleStore has been designed to be deployed with at least two nodes: A Master Aggregator node that runs SQL queries and aggregates the results, and A single leaf node, which

From email marketing campaigns to trading activity on a stock exchange. "Zynga uses us," Frenkiel says, "and so does Morgan Stanley."MemSQL is at the forefront of a much larger effort to move the world's digital data off the hard disk and into memory -- a trend that will ultimately let us juggle "Big Data" not only with greater speed but with greater accuracy. Inside the data centers that underpin its popular web services, Yahoo is shifting towards a in-memory tool known as Spark, which does all sorts of data analysis, and MemSQL is just one of several in-memory databases, which can handle both data analysis and the high-speed data transactions that are an integral part of so many websites. In other words, they can drive things like online user accounts and product purchases and maybe even bank payments.These databases -- which also include names such as NuoDB and VoltDB and SAP's Hana -- are just beginning to find their way in the world. But some are already juggling live data inside businesses large and small. In an echo of Facebook and Scuba, Shutterstock -- a New York outfit that offers up an online library of photos, graphics, and videos -- uses MemSQL to analyze, and then improve, the operation of the computer servers and other hardware tools that drive its web service."It has performed crazy well, and it has allowed us to do some things we couldn't do before," says Chris Fischer, the vice president of operations at Shutterstock. "It lets us gauge the health of our [server] ecosystem. We want to know if something changes, and we want to know in real time."Memory Serves. AgainThe idea of a database that runs in computer memory is hardly new. TimesTen, an in-memory database offered by software giant Oracle, dates back to the mid-1990s. But as Frenkiel explains, MemSQL represents a new breed of in-memory database -- an in-memory database specifically designed to operate across a large number of machines."TimesTen is legacy," he says, sitting inside one of the fish-bowl conference rooms that line the outside of the startup's offices in San Francisco's SOMA neighborhood. "We now have an in-memory renaissance." This is driven in part, he says, by the decline in memory prices over the past few years. Standard computer servers now include as much as a terabyte of memory (aka one thousand gigabytes), if not more.>'The difference between NoSQL and

The cluster file. Run the following from the singlestoredb-toolbox directory with the path to the cluster file as input. ./sdb-deploy setup-cluster --cluster-file /path/to/cluster-file> Create the memsql.service File By creating the following memsql.service file and enabling the memsql service, all nodes on a host will be restarted after the host is rebooted. Performing the following steps on each host in the cluster. Create a memsql.service file in the /etc/systemd/system directory. sudo vi /etc/systemd/system/memsql.service Using the following example, replace the directory in the ExecStart and ExecStop lines with the directory in which the memsqlctl file resides on the host. In this example, the directory is /opt/singlestore/singlestoredb-server. [Unit]Description=SingleStoreAfter=network.target[Service]Type=oneshotRemainAfterExit=yesExecStart=/opt/singlestore/singlestoredb-server/memsqlctl start-node --yes --allExecStop=/opt/singlestore/singlestoredb-server/memsqlctl stop-node --yes --allSlice=system-memsql.sliceTasksMax = 128000LimitNICE=-10LimitNOFILE=1024000LimitNPROC=128000[Install]WantedBy=multi-user.target Ensure that this file is owned by root. sudo chown root:root /etc/systemd/system/memsql.service Set the requisite file permissions. sudo chmod 644 /etc/systemd/system/memsql.service Enable the memsql service to start all of the nodes on the host after the host is rebooted. sudo systemctl enable memsql.serviceCreated symlink from /etc/systemd/system/multi-user.target.wants/memsql.service to /etc/systemd/system/memsql.service. Additional Deployment Options NoteIf this deployment method is not ideal for your target environment, you can choose one that fits your requirements from the Deployment Options. Connect to Your Cluster The singlestore-client package contains is a lightweight client application that allows you to run SQL queries against your database from a terminal window. After you have installed singlestore-client, use the singlestore application as you would use the mysql client to access your database. For more connection options, help is available through singlestore --help. singlestore -h Master-or-Child-Aggregator-host-IP-address> -P port> -u

If you buy something using links in our stories, we may earn a commission. This helps support our journalism. Learn more. Please also consider subscribing to WIREDNikita Shamgunov and Eric Frenkiel first met during Facebook bootcamp. Like every other new engineer hired by the company, they spent a good eight weeks in the hacker equivalent of Parris Island, fixing bug after bug after bug inside the world's largest social network, coming to terms with the swashbuckling Facebook culture, and mentally winding their way through the sweeping software systems that juggle data inside the house that Zuck built."It's very much like bootcamp in that most graduate -- but some don't," Frenkiel says. "Even if you pass a series of interviews, they still want to see you perform for eight weeks -- for 10 weeks -- before you actually join a team."Shamgunov and Frenkiel ended up on separate engineering teams, but they remained friends, often sharing the morning commute from San Francisco to Facebook's Silicon Valley headquarters, and in 2011, they left the tech giant to found their own company. It's called MemSQL, and it echoes Facebook in more ways than one.>'It’s very much like bootcamp in that most graduate -- but some don’t. Even if you pass a series of interviews, they still want to see you perform for eight weeks -- for 10 weeks -- before you actually join a team.'Eric FrenkielFrenkiel (the company's CEO) and Shamgunov (its CTO) installed their own engineering bootcamp inside the San Francisco startup -- "we even hired an ex-Marine officer," says Frenkiel, referring to executive vice president Carl Wright -- and with their new team of engineers, they created a software system that would mimic the Facebook machine, letting the rest of the world harness massive amounts of data in ways that are now routine with Zuckerberg and company.MemSQL offers what's called an "in-memory database." Much like a Facebook creation known as Scuba, it spreads information across the memory systems inside dozens of computer servers, bypassing the (much slower) hard disks that traditionally house the world's information. The end result is a system that lets you retrieve and analyze data at unusually high speeds.At Facebook, Scuba provides a means of instantly diagnosing problems with the enormous network of hardware and software that drives the company's web service, but MemSQL expands on this mission. It can help analyze the ins and outs of practically anything,

Is responsible for storing and processing data These two nodes can be deployed on a single host (via the cluster-in-box option), or on two hosts, with one SingleStore node on each host. While additional aggregators and nodes can be added and removed as required, a minimal deployment of SingleStore always consists of at least these two nodes. Cluster-in-a-box CLI Online Deployment - Tarball Note If you are deploying SingleStore on a host or virtual machine (VM), and want to connect to the cluster from a separate host or the VM's host, set the bind address from 127.0.01 to 0.0.0.0. To do so, include the bind_address field for the Master Aggregator in the cluster configuration file. Refer to sdb-deploy setup-cluster for more information. This deployment method is equivalent to sdb-deploy cluster-in-a-box, where a single-host cluster is created with two nodes: a Master Aggregator and a single leaf node. Set package_type to tar to download and deploy a memsql-server tarball. license: -from-portal.singlestore.com>memsql_server_version: 8.9package_type: tarhosts:- hostname: 127.0.0.1 localhost: true nodes: - register: false role: Master config: password: -password> port: 3306 - register: false role: Leaf config: password: -password> port: 3307 Using this cluster configuration file, sdb-deploy setup-cluster: Registers a single, local host to the cluster. Installs the latest 8.9 version of singlestoredb-server on this host. Creates a Master Aggregator node on port 3306 and sets the SingleStore password to the one specified in the cluster file. Creates a leaf node on port 3307 and sets the SingleStore password to the one specified in

User> -psecure-password>Welcome to the MySQL monitor. Commands end with ; or \g.Your MySQL connection id is 12Server version: 5.5.58 MemSQL source distribution (compatible; MySQL Enterprise & MySQL Commercial)Copyright (c) 2000, 2016, Oracle and/or its affiliates. All rights reserved.Oracle is a registered trademark of Oracle Corporation and/or itsaffiliates. Other names may be trademarks of their respectiveowners.Type 'help;' or '\h' for help. Type '\c' to clear the current input statement.singlestore> Refer to Connect to SingleStore for additional options for connecting to SingleStore. Next Steps After Deployment Now that you have installed SingleStore, check out the following resources to learn more about SingleStore: Optimizing Table Data Structures: Learn the difference between rowstore and columnstore tables, when you should pick one over the other, how to pick a shard key, and so on. How to Load Data into SingleStore: Describes the different options you have when ingesting data into a SingleStore cluster. How to Run Queries: Provides example schema and queries to begin exploring the potential of SingleStore. Configure Monitoring: SingleStore’s native monitoring solution is designed to capture and reveal cluster events over time. By analyzing this event data, you can identify trends and, if necessary, take action to remediate issues. Tools Reference: Contains information about SingleStore Tools, including Toolbox and related commands.