Home ›

NoSQL Tutorial

Issue 67

From Issue #67
November 1999

Nov 01, 1999  By Giuseppe Paterno
 in
A comprehensive look at the NoSQL database.

Some months ago I had a discussion with NoSQL creator, Carlo Strozzi, regarding the databases.

I should admit, I am an SQL fan! It's hot having the same language, no matter which platform or database engine is used. He underlined the fact that most SQL engines lack of flexibility and waste system resources (memory and disk space) because of their multi-platform environment (such as Oracle, DB2, Informix, etc.).

He suggested I have a look at the white paper that inspired him: “The UNIX Shell As a Fourth Generation Language” by Evan Schaffer (evan@rsw.com) and Mike Wolf (wolf@hyperion.com).

Quoting from the above paper:

... almost all [database systems] are software prisons that you must get into and leave the power of UNIX behind. [...] The resulting database systems are large, complex programs which degrade total system performance, especially when they are run in a multi-user environment. [...] UNIX provides hundreds of programs that can be piped together to easily perform almost any function imaginable. Nothing comes close to providing the functions that come standard with UNIX.

The UNIX file structure is the fastest and most readily-available database engine ever built: directories may be viewed as catalogs and tables as plain ASCII files. Commands are common UNIX utilities, such as grep, sed and awk. Nothing should be reinvented.

NoSQL was born with these ideas in mind: getting the most from the UNIX system, using some commands that glue together various standard tools. Although NoSQL is a good database system, this is not a panacea for all you problems. If you have to deal with a 10 gigabytes table that must be updated each second from various clients, NoSQL doesn't work for you since it lacks of performance on very big tables, and on frequent updates you must be in real time. For this case, I suggest you use a stronger solution based on Oracle, DB2 or such packages on a Linux cluster, AS/400 or mainframes.

However, if you have a web site containing much information and more reading occurs than writing, you will be surprised how fast is it. NoSQL (pronounced noseequel, as the author suggests) derives most of its code from the RDB database developed at RAND Organization, but more commands have been built in order to accomplish more tasks.

Installing NoSQL

The latest NoSQL source code can be found at ftp://ftp.linux.it/pub/database/NoSQL, but RPM and Debian packages are also available. At the time of writing, latest stable version is 2.1.3.

Just unpack the source using the command tar -xzvvf nosql-2.1.3.tar.gz in a convenient directory (such as $HOME/src), and you will get all the code in the nosql-2.1.3 subdirectory. Enter the above subdirectory and do the following:

./configure
make
make install

The software will put its engine into /usr/local/lib/nosql, its documentation in /usr/local/doc/nosql and a symlink /usr/local/bin/nosql that points to the real executable (/usr/local/lib/nosql/sh/nosql). You can change the directory prefix (e.g., /usr instead of /usr/local) invoking ./configure --prefix=/usr.

You should copy the sample configuration file to the $NSQLIB directory (i.e., /usr/local/lib/nosql). This is not required but it's useful for changing some parameters via configuration file instead of variables. The commands

cp nosql.conf.sample /usr/local/lib/nosql/nosql.conf
chmod 0664 /usr/local/lib/nosql/nosql.conf

will copy it with the right permissions. You can optionally have a personal NoSQL configuration file creating an $HOME/.nosql.conf with 0664 permission applied.

Although NoSQL installation is quite simple, I suggest you to read the INSTALL file: the author gives some good tips.

Getting Some Steps Around

Now that the package has been installed, let's start getting acquainted with NoSQL commands through an example.

We are the usual Acme Tools Inc. which supplies stuffs to the Toonies land. We would like to track our customers, so we should create a first table in which we will list some customers details (such as code, phone, fax, e-mail, etc...). The best way to create tables from scratch is via template files.

A template file contains the column names of the table and associated optional comments separated by tabs and/or spaces. Comments may be also specified with the usual hash sign (#) as the first character of the line. The file below, customer.tpl, is our template for the customer table.

# Acme Tools, Inc.
# Customers table
#######################
CODE    Code number
NAME    Name/Surname
PHONE   Phone no
EMAIL   E-mail

Most of the NoSQL commands read from STDIN and write to STDOUT. The maketable command, which builds tables from templates, is one of these. Issuing the command 

nosql maketable < customer.tpl
we'll get the table header on STDOUT: 
CODE    NAME    PHONE   EMAIL
----    ----    -----   -----
Great, but we should keep it in a file. We could simply redirect the command output to a file, e.g., 
nosql maketable < customer.tpl > customer.rdb
but this wouldn't be the right way. The write command may be helpful in this case, as it reads a table from STDIN (a simple header in this case) and writes a file, checking data integrity.

The resulting command would be

nosql maketable < customer.tpl |
  nosql write -s customer.rdb.

The -s switch in the write operator suppress STDOUT, e.g., nosql write, similar to the tee UNIX utility, writes both to file and STDOUT, unless -s is specified.

Pay attention, because the write command does not do any locking on the output table: nosql lock table and nosql unlock table must be used for this purpose.

______________________

Comments

Comment viewing options

Select your preferred way to display the comments and click "Save settings" to activate your changes.

dbms

srikanth.v's picture
Submitted by srikanth.v (not verified) on Mon, 08/24/2009 - 05:09.

my query is i want the thing as price * qty should give the amount and the total should be calculated for that what is the query in oracle sql(structured query language).

White Paper
More Resources
Fabric-Based Computing Enables Optimized Hyperscale Data Centers

Today’s modular x86 servers are compute-centric, designed as a least common denominator to support a wide range of IT workloads. Those generic, virtualized IT workloads have much different resource optimization requirements than hyperscale and cloud applications. They have resulted in a “one size fits all” enterprise IT architecture that is not optimized for a specific set of IT workloads, and especially not emerging hyperscale workloads, such as web applications, big data, and object storage. In this report, you will learn how shifting the focus from traditional compute-centric IT architectures to an innovative disaggregated fabric-based architecture can optimize and scale your data center.

Learn More

Sponsored by AMD

White Paper
More Resources
Red Hat White Paper: Using an Open Source Framework to Catch the Bad Guy

Built-in forensics, incident response, and security with Red Hat Enterprise Linux 6

Every security policy provides guidance and requirements for ensuring adequate protection of information and data, as well as high-level technical and administrative security requirements for a system in a given environment. Traditionally, providing security for a system focuses on the confidentiality of the information on it. However, protecting the data integrity and system and data availability is just as important. For example, when processing United States intelligence information, there are three attributes that require protection: confidentiality, integrity, and availability.

Learn more about catching the bad guy in this free white paper.

Learn More

Sponsored by DLT Solutions