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sqlmap is an open source penetration testing tool that automates the process of detecting and exploiting SQL injection flaws and taking over of database servers. It comes with a powerful detection engine, many niche features for the ultimate penetration tester and a broad range of switches lasting from
database fingerprinting, over data fetching from the database, to accessing the underlying file system and executing commands on the operating system via out-of-band connections.
With the introduction of SQL Server 2012 data developers have new ways to interact with their databases. This session will review the powerful new analytic windows functions, new ways to generate numeric sequences and new ways to page the results of our queries. Other features that will be discussed are improvements in error handling and new parsing and concatenating features.
sqlmap is an open source penetration testing tool that automates the process of detecting and exploiting SQL injection flaws and taking over of database servers. It comes with a powerful detection engine, many niche features for the ultimate penetration tester and a broad range of switches lasting from
database fingerprinting, over data fetching from the database, to accessing the underlying file system and executing commands on the operating system via out-of-band connections.
With the introduction of SQL Server 2012 data developers have new ways to interact with their databases. This session will review the powerful new analytic windows functions, new ways to generate numeric sequences and new ways to page the results of our queries. Other features that will be discussed are improvements in error handling and new parsing and concatenating features.
Recipes 6 of Data Warehouse and Business Intelligence - Naming convention tec...Massimo Cenci
The naming convention is a key component of any IT project.
The purpose of this article is to suggest a standard for a practical and effective Data Warehouse design
What are the top 100 SQL Interview Questions and Answers in 2014? Based on the most popular SQL questions asked in interview, we've compiled a list of the 100 most popular SQL interview questions in 2014.
This pdf includes oracle sql interview questions and answers, sql query interview questions and answers, sql interview questions and answers for freshers etc and is perfect for those who're appearing for a linux interview in top IT companies like HCL, Infosys, TCS, Wipro, Tech Mahindra, Cognizant etc
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This Doc Consist of ER diagram of University and NHL, Introduction to posgres SQL and installation,DML and its various commands,implementation of constraints with examples,DML Implementation with set operations & Functions,Implementation of nested Queries.
Recipes 8 of Data Warehouse and Business Intelligence - Naming convention tec...Massimo Cenci
The naming convention is a key component of any IT project.
The purpose of this article is to suggest a standard for a practical and effective Data Warehouse design in Oracle environment
This PPT File, helps with the Basic Interview Questions specially for DataBase Domain.. For more questions , please log in to www.rekruitin.com
By ReKruiTIn.com
This presentation is an INTRODUCTION to intermediate MySQL query optimization for the Audience of PHP World 2017. It covers some of the more intricate features in a cursory overview.
Using SPMetal for faster SharePoint developmentPranav Sharma
This session will cover the ins and outs of SPMetal, a tool which ships with SharePoint 2010. SPMetal allows developers compile-time access to SharePoint lists, content types and columns. This allows for type-safe access to columns/fields on a SharePoint site. Additionally, developers can write LINQ queries against these lists using SPMetal which speeds up query writing tremendously. We will cover adding support for complex column types (Managed Metadata, Publishing HTML, etc) which aren’t supported by SPMetal out of the box. Lastly we will also touch upon performance considerations and other best practices when coding with SPMetal.
I am Kefa J. I am a Database Management Homework Expert at databasehomeworkhelp.com. I hold a Ph.D. in Programming, Princeton University, USA. I have been helping students with their homework for the past 12 years. I solve homework related to Database Management.
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Short and comprehensive manual to extend your local matlab with a high performance computing cluster of NVidia tesla's 2070 graphical processing units.
Recipes 6 of Data Warehouse and Business Intelligence - Naming convention tec...Massimo Cenci
The naming convention is a key component of any IT project.
The purpose of this article is to suggest a standard for a practical and effective Data Warehouse design
What are the top 100 SQL Interview Questions and Answers in 2014? Based on the most popular SQL questions asked in interview, we've compiled a list of the 100 most popular SQL interview questions in 2014.
This pdf includes oracle sql interview questions and answers, sql query interview questions and answers, sql interview questions and answers for freshers etc and is perfect for those who're appearing for a linux interview in top IT companies like HCL, Infosys, TCS, Wipro, Tech Mahindra, Cognizant etc
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Mysql interview questions and answers for freshers and experienced
This Doc Consist of ER diagram of University and NHL, Introduction to posgres SQL and installation,DML and its various commands,implementation of constraints with examples,DML Implementation with set operations & Functions,Implementation of nested Queries.
Recipes 8 of Data Warehouse and Business Intelligence - Naming convention tec...Massimo Cenci
The naming convention is a key component of any IT project.
The purpose of this article is to suggest a standard for a practical and effective Data Warehouse design in Oracle environment
This PPT File, helps with the Basic Interview Questions specially for DataBase Domain.. For more questions , please log in to www.rekruitin.com
By ReKruiTIn.com
This presentation is an INTRODUCTION to intermediate MySQL query optimization for the Audience of PHP World 2017. It covers some of the more intricate features in a cursory overview.
Using SPMetal for faster SharePoint developmentPranav Sharma
This session will cover the ins and outs of SPMetal, a tool which ships with SharePoint 2010. SPMetal allows developers compile-time access to SharePoint lists, content types and columns. This allows for type-safe access to columns/fields on a SharePoint site. Additionally, developers can write LINQ queries against these lists using SPMetal which speeds up query writing tremendously. We will cover adding support for complex column types (Managed Metadata, Publishing HTML, etc) which aren’t supported by SPMetal out of the box. Lastly we will also touch upon performance considerations and other best practices when coding with SPMetal.
I am Kefa J. I am a Database Management Homework Expert at databasehomeworkhelp.com. I hold a Ph.D. in Programming, Princeton University, USA. I have been helping students with their homework for the past 12 years. I solve homework related to Database Management.
Visit databasehomeworkhelp.com or email info@databasehomeworkhelp.com. You can also call on +1 678 648 4277 for any assistance with Database Management Homework.
Short and comprehensive manual to extend your local matlab with a high performance computing cluster of NVidia tesla's 2070 graphical processing units.
Coding Component (50)Weve provided you with an implementation .docxmary772
Coding Component (50%)
We've provided you with an implementation of an unbalanced binary search tree. The tree implements an ordered dynamic set over a generic comparable type T. Supported operations include insertion, deletion, min, max, and testing whether a value is in the set (via the exists method). Because it's a set, duplicates are not allowed, and the insert operation will not insert a value if it is already present.
We have implemented the BST operations in a recursive style. For example, inserting a value into a tree recurses down the tree seeking the correct place to add a new leaf. Each recursive call returns the root of the subtree on which it was called, after making any modifications needed to the subtree to perform the insertion. Deletion is implemented similarly.
Your job is to add the functionality needed to keep the tree balanced using the AVL property. In particular, you will need to
· augment the tree to maintain the height of each of its subtrees, as discussed in Studio;
· compute the balance at the root of a subtree (which is the height of the root's left subtree minus that of its right subtree);
· implement the AVL rebalancing operation, along with the supporting rotation operations; and
· call the height maintenance and rebalancing operations at the appropriate times during insertion and deletion.
Code Outline
There are two main source code files you need to consider, both in the avl package:
· TreeNode.java implements a class TreeNode that represents a node of a binary search tree. It holds a value (the key of the node) along with child and parent pointers. It has a height data member that is currently not used for anything. You should not modify this file, but you need to understand its contents.
· AVLTree.java implements an ordered set as a binary search tree made out of TreeNode objects.
The AVLTree class provides an interface that includes element insertion and deletion, as well as an exists() method that tests whether a value is present in the set. It also offers min() and max() methods. These methods all work as given for (unbalanced) BSTs, using the algorithms we discussed in lecture.
To implement the AVL balancing method, you will need to fill in some missing code to maintain the height of each subtree and perform rebalancing. Look for the 'FIXME' tags in AVLTree.java to see which methods you must modify.
Height Maintenance
You'll need to set the height data member each time a new leaf is allocated in the tree. You can then maintain the height as part of insertion or deletion using the incremental updating strategy you worked out in Studio 10, Part C.
The update procedure updateHeight() takes in a node and updates its height using the heights of its two subtrees. It should run in constant time.
You'll need to call updateHeight() wherever it is needed – in insertion, deletion, and perhaps elsewhere.
Rebalancing
You must implement four methods as part of AVL rebalancing:
· getBalance() computes the balance fact.
LabsLab8.htmlLab 8 Im Thinking of a NumberBefore yo.docxDIPESH30
Labs/Lab8.html
Lab 8: I'm Thinking of a Number
Before you begin this lab please review Javascript from the lecture notes.
This lab is meant to help you learn the rudiments of the Javascript programming language and understand something of how web pages use Javascript, well enough that you can write a basic Javascript program that implements a simple game. You will also begin to develop some appreciation of why programming is not entirely trivial. It really does require orderly thinking and meticulous attention to detail.
Please read these instructions before beginning the lab.
Please follow the instructions about program format, variable names, etc.
Please use the template in Part 3.
Please pay attention to syntax and grammar and language constructs.
You will have a better chance of success if you follow the highlighted hints. Things will work better if you do, and you may even find that programming is kind of fun, especially when your program works.
You can do this lab anywhere. Remember to post questions in the forum where you can get help from each other.Part 1: IntroductionPart 2: The Javascript LanguagePart 3: Writing your own Javascript ProgramPart 4: Finishing up
Part 1: Introduction - PREAMBLE 1
Programming languages provide a way to express computer algorithms in a form that is convenient for humans yet easily translated into a computer's machine language: programming languages are the way that we tell computers how to perform a task.
In the lecture notes, we have studied the very low-level instructions that the computer itself understands (for example, the Toy), and talked about a variety of programming languages, much easier for people to use, that are translated into machine instructions by programs like compilers and assemblers. There are many such languages, each with its own good and bad points, and often with noisy adherents and detractors.
Javascript, the topic of this lab and the next, is one of the most widely encountered languages, largely because it's available as part of every Web browser, and the majority of web pages include Javascript code. You too can write Javascript programs that will be run by whoever views your web page. We don't expect you to become a full-fledged Javascript programmer, but you will do enough in this lab and the next to get some understanding of what programs look like and what is involved in taking an algorithm and turning it into a program that implements the algorithm.
You'll also be able to better understand the Javascript pages that you encounter when you browse, and if you like, you'll be able to adapt and modify them for your own pages too.
There is an enormous amount of Javascript information on the Web, and thousands of books. You might start with this list of tutorials, or Google for "javascript tutorial".
Javascript has three major components:the Javascript language itselfbuilding blocks that you can use to create your programmethods that let your Javascript program inter ...
Java modular extension for operator overloadingijpla
The paper introduces a modular extension (plugin) for Java language compilers and Integrated Development Environments (IDE) which adds operator overloading feature to Java language while preserving backward compatibility.
The extension use the idea of library-based language extensibility similar to SugarJ[1]. But unlike most language extensions, it works directly inside the compiler and does not have any external preprocessors. This gives much faster compilation, better language compatibility and support of native developer tools (IDE, build tools).
The extension plugs into javac and Eclipse Java compilers as well as in all tools whose use the compilers such as IDEs (Netbeans, Eclipse, IntelliJ IDEA), build tools (ant, maven, gradle), etc. No compiler, IDE, build tools modification needed. Just add a jar library to classpath and/or install a plugin to your IDE.
The paper also discuss on how to build such Java compiler extensions.
The extension source code is open on
http://amelentev.github.io/java-oo/
GDE: Lab 1 – Traffic Light Pg. 1
Lab 1: Traffic Light
Setup
Start a new project. Save the scene. Review the submission steps at the bottom to ensure you save the scene
name correctly.
Additional References
Official Unity Tutorials: Unity has some fantastic learning tools to help newcomers become better
familiarized with the tool suite. I cannot recommend this enough.
Unity Scripting Reference: Unity's script reference is fantastic. If you want to know anything about a
particular component or function or class, they have it documented and easily accessible. It won't give
you all the answers, but without this, developing for Unity would become much, much more difficult.
Preparation
Make sure you complete Experiment 1 and 2 before attempting this lab.
Goal
The goal for this lab is to implement a simple traffic light that has a state machine driving its behavior. By the
end, you should have a visual representation of a traffic light with three spheres that represent the three lights.
Using time to determine when to transition, switch the lights from green, to yellow, to red and then back to
green. Additionally, input can be used to change the traffic light's behavior.
http://unity3d.com/learn
http://docs.unity3d.com/ScriptReference/
GDE: Lab 1 – Traffic Light Pg. 2
Instructions
Let's create the actual traffic light together. Here is the step-by-step construction process:
Create a Cube object
Rename the Cube object in the Hierarchy to TrafficLight
Create three Spheres. Rename them to Green Light, Yellow Light, and Red Light. Make the Traffic Light
object the parent of all of the Light objects by dragging all three spheres in the Hierarchy on top of the
TrafficLight object
GDE: Lab 1 – Traffic Light Pg. 3
Once all three spheres are children of the Traffic Light object, the only other thing left to add to the scene is
just a little bit of light. Add a directional light to the scene. The position of a directional light does not
matter. You can move it out of the way. If the light is too bright, you can lower the intensity in the inspector.
The scene should now roughly look like this. In scale mode, shape the cube until it looks like a traffic light.
Move the three light spheres such that they protrude through one side of the traffic light object. You'll
notice that the spheres have taken on the scale of the parent. It's important to remember that translation,
rotation and scale actions performed on the parent affect the children in the same way.
Use the scale tool to make the spheres look like a light again and position them accordingly
GDE: Lab 1 – Traffic Light Pg. 4
Once all three lights are in place, move the Main Camera object so that the Traffic Light object is in the
frame and you can see the light spheres
Scripting
Now you are ready to begin the programming portion of this lab! Select the Traffic Light object and add a
.
How can JAVA Performance tuning speed up applications.pdfMindfire LLC
Java optimization identifies misbehaving or underperforming code, configurations, frameworks, libraries, and, potentially, even hardware. When you identify a component as an optimization target, you can rework and retest the system.
If the Java performance optimization target is remediated, the system as a whole will perform better.
z/OSMF Workflow Editor Lab - Try it out on your z/OSMF systemMarna Walle
This is a self-directed lab that you can use on your own z/OSMF V2.1 and higher system. All the samples are provided (in the Appendix) to create on your own system to use. Hints and tips from what Marna has discovered are shown.
Learn the best way to overcome the challenges of your database homework! Our knowledgeable Database Homework Helpers have the skills necessary to handle challenging queries, improve SQL, and interpret ER diagrams. We make sure that your assignments stand out by providing in-depth knowledge and prompt assistance. Obtain success right away with database homework help!
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Read| The latest issue of The Challenger is here! We are thrilled to announce that our school paper has qualified for the NATIONAL SCHOOLS PRESS CONFERENCE (NSPC) 2024. Thank you for your unwavering support and trust. Dive into the stories that made us stand out!
Welcome to TechSoup New Member Orientation and Q&A (May 2024).pdfTechSoup
In this webinar you will learn how your organization can access TechSoup's wide variety of product discount and donation programs. From hardware to software, we'll give you a tour of the tools available to help your nonprofit with productivity, collaboration, financial management, donor tracking, security, and more.
Acetabularia Information For Class 9 .docxvaibhavrinwa19
Acetabularia acetabulum is a single-celled green alga that in its vegetative state is morphologically differentiated into a basal rhizoid and an axially elongated stalk, which bears whorls of branching hairs. The single diploid nucleus resides in the rhizoid.
A Strategic Approach: GenAI in EducationPeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
How to Make a Field invisible in Odoo 17Celine George
It is possible to hide or invisible some fields in odoo. Commonly using “invisible” attribute in the field definition to invisible the fields. This slide will show how to make a field invisible in odoo 17.
Unit 8 - Information and Communication Technology (Paper I).pdfThiyagu K
This slides describes the basic concepts of ICT, basics of Email, Emerging Technology and Digital Initiatives in Education. This presentations aligns with the UGC Paper I syllabus.
Instructions for Submissions thorugh G- Classroom.pptxJheel Barad
This presentation provides a briefing on how to upload submissions and documents in Google Classroom. It was prepared as part of an orientation for new Sainik School in-service teacher trainees. As a training officer, my goal is to ensure that you are comfortable and proficient with this essential tool for managing assignments and fostering student engagement.
Palestine last event orientationfvgnh .pptxRaedMohamed3
An EFL lesson about the current events in Palestine. It is intended to be for intermediate students who wish to increase their listening skills through a short lesson in power point.
Francesca Gottschalk - How can education support child empowerment.pptxEduSkills OECD
Francesca Gottschalk from the OECD’s Centre for Educational Research and Innovation presents at the Ask an Expert Webinar: How can education support child empowerment?
Biological screening of herbal drugs: Introduction and Need for
Phyto-Pharmacological Screening, New Strategies for evaluating
Natural Products, In vitro evaluation techniques for Antioxidants, Antimicrobial and Anticancer drugs. In vivo evaluation techniques
for Anti-inflammatory, Antiulcer, Anticancer, Wound healing, Antidiabetic, Hepatoprotective, Cardio protective, Diuretics and
Antifertility, Toxicity studies as per OECD guidelines
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2. Simple DB Operators
In this lab assignment, you will write a set of operators for SimpleDB to implement
table modifications (e.g., insert and delete records), selections, joins, and aggregates.
These will build on top of the foundation that you wrote in Lab 1 to provide you with a
database system that can perform simple queries over multiple tables.
Additionally, we ignored the issue of buffer pool management in Lab 1; we have not
dealt with the problem that arises when we reference more pages than we can fit in
memory over the lifetime of the database. In Lab 2, you will design an eviction policy to
flush stale pages from the buffer pool.
You do not need to implement transactions or locking in this lab.
The remainder of this document gives some suggestions about how to start coding,
describes a set of exercises to help you work through the lab, and discusses how to hand
in your code. This lab requires you to write a fair amount of code, so we encourage you
to start early!
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3. Find bugs, be patient, earn candy bars
SimpleDB is a relatively complex piece of code. It is very possible you are going to find
bugs, inconsistencies, and bad, outdated, or incorrect documentation, etc.
We ask you, therefore, to do this lab with an adventurous mindset. Don't get mad if
something is not clear, or even wrong; rather, try to figure it out yourself or send us a
friendly email. We promise to help out by posting bug fixes, new tarballs, etc., as bugs
and issues are reported.
...and if you find a bug in our code, we'll give you a candy bar
1. Getting started
You should begin with the code you submitted for Lab 1 (if you did not submit code for
Lab 1, or your solution didn't work properly, contact us to discuss options.) We have
provided you with extra test cases for this lab that are not in the original code distribution
you received. We reiterate that the unit tests we provide are to help guide your
implementation along, but they are not intended to be comprehensive or to establish
correctness.
You will need to add these new test cases to your release. The easiest way to do this is to
untar the new code in the same directory as your top-level simpledb directory, as follows:
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4. ● Make a backup of your Lab 1 solution by typing :
$ tar -cvzf 6.830-lab1-submitted.tar.gz 6.830-lab1
● Change to the directory that contains your top-level simpledb code:
$ cd 6.830-lab2
● Download the new tests and skeleton code for Lab 2 from
http://db.csail.mit.edu/6.830/6.830-lab2-supplement. tar.gz:
$ wget http://db.csail.mit.edu/6.830/6.830-lab2-supplement.tar.gz
● Extract the new files for Lab 2 by typing:
tar -xvzf 6.830-lab2-supplement.tar.gz
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5. ● Eclipse users will have to take one more step for their code to compile. (First, make
sure the project is in your workspace in Eclipse following similar steps as done in lab1.)
Under the package explorer, right click the project name (probably 6.830-lab1), and select
Properties. Choose Java Build Path on the lefthand-side, and click on the Libraries
tab on the right-hand-side. Push the Add JARs... button, select zql. jar and jline-
0.9.94.jar, and push OK, followed by OK. Your code should now compile.
1.3. Implementation hints
As before, we strongly encourage you to read through this entire document to get a feel
for the highlevel design of SimpleDB before you write code.
We suggest exercises along this document to guide your implementation, but you may find
that a different order makes more sense for you. As before, we will grade your assignment
by looking at your code and verifying that you have passed the test for the ant targets test
and systemtest. See Section 3.4 for a complete discussion of grading and list of the tests
you will need to pass.
Here's a rough outline of one way you might proceed with your SimpleDB
implementation; more details on the steps in this outline, including exercises, are given in
Section 2 below.
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6. ● Implement the operators Filter and Join and verify that their corresponding tests
work. The Javadoc comments for these operators contain details about how they should
work. We have given you implementations of Project and OrderBy which may help you
understand how other operators work.
● Implement IntAggregator and StringAggregator. Here, you will write the logic that
actually computes an aggregate over a particular field across multiple groups in a sequence
of input tuples. Use integer division for computing the average, since SimpleDB only
supports integers. StringAggegator only needs to support the COUNT aggregate, since the
other operations do not make sense for strings.
● Implement the Aggregate operator. As with other operators, aggregates implement the
DbIterator interface so that they can be placed in SimpleDB query plans. Note that the
output of an Aggregate operator is an aggregate value of an entire group for each call to
next(), and that the aggregate constructor takes the aggregation and grouping fields.
● Implement the methods related to tuple insertion, deletion, and page eviction in
BufferPool. You do not need to worry about transactions at this point.
● Implement the Insert and Delete operators. Like all operators, Insert and Delete
implement DbIterator, accepting a stream of tuples to insert or delete and outputting a single
tuple with an integer field that indicates the number of tuples inserted or deleted.
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7. These operators will need to call the appropriate methods in BufferPool that actually
modify the pages on disk. Check that the tests for inserting and deleting tuples work
properly.
Note that SimpleDB does not implement any kind of consistency or integrity checking, so
it is possible to insert duplicate records into a file and there is no way to enforce primary or
foreign key constraints.
At this point you should be able to pass all of the tests in the ant systemtest target, which
is the goal of this lab.
You'll also be able to use the provided SQL parser to run SQL queries against your
database! See Section 2.7 for a brief tutorial and a description of an optional contest to see
who can write the fastest SimpleDB implementation.
Finally, you might notice that the iterators in this lab extend the AbstractDbIterator class
instead of implementing the DbIterator interface. Because the implementation of
next/hasNext is often repetitive, annoying, and error-prone, AbstractDbIterator implements
this logic generically, and only requires that you implement a simpler readNext. Feel free
to use this style of implementation, or just implement the DbIterator interface if you prefer.
To implement the DbIterator interface, remove extends AbstractDbIterator from iterator
classes, and in its place put implements DbIterator.
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8. 2. SimpleDB Architecture and Implementation Guide
2.1. Filter and Join
Recall that SimpleDB DbIterator classes implement the operations of the relational algebra.
You will now implement two operators that will enable you to perform queries that are
slightly more interesting than a table scan.
● Filter: This operator only returns tuples that satisfy a Predicate that is specified as
part of its constructor. Hence, it filters out any tuples that do not match the predicate.
● Join: This operator joins tuples from its two children according to a JoinPredicate that
is passed in as part of its constructor. We only require a simple nested loops join, but you
may explore more interesting join implementations. Describe your implementation in your
lab writeup.
Exercise 1. Implement the skeleton methods in:
● src/simpledb/Predicate.java
● src/simpledb/JoinPredicate.java
● src/simpledb/Filter.java
● src/simpledb/Join.java
At this point, your code should pass the unit tests in PredicateTest, JoinPredicateTest,
FilterTest, and JoinTest. Furthermore, you should be able to pass the system tests
FilterTest and JoinTest.
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9. 2.2. Aggregates
An additional SimpleDB operator implements basic SQL aggregates with a GROUP BY
clause. You should implement the five SQL aggregates (COUNT, SUM, AVG, MIN,
MAX) and support grouping. You only need to support aggregates over a single field, and
grouping by a single field.
In order to calculate aggregates, we use an Aggregator interface which merges a new
tuple into the existing calculation of an aggregate. The Aggregator is told during
construction what operation it should use for aggregation. Subsequently, the client code
should call Aggregator.merge() for every tuple in the child iterator. After all tuples have
been merged, the client can retrieve a DbIterator of aggregation results. Each tuple in the
result is a pair of the form (groupValue, aggregateValue), unless the value of the group
by field was Aggregator.NO_GROUPING, in which case the result is a single tuple of
the form (aggregateValue).
Note that this implementation requires space linear in the number of distinct groups. For
the purposes of this lab, you do not need to worry about the situation where the number of
groups exceeds available memory.
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10. Exercise 2. Implement the skeleton methods in:
● src/simpledb/IntAggregator.java
● src/simpledb/StringAggregator.java
● src/simpledb/Aggregate.java
At this point, your code should pass the unit tests IntAggregatorTest,
StringAggregatorTest, and AggregateTest. Furthermore, you should be able to pass the
AggregateTest system test.
2.3. HeapFile Mutability
Now, we will begin to implement methods to support modifying tables. We begin at the
level of individual pages and files. There are two main sets of operations: adding tuples
and removing tuples.
Removing tuples: To remove a tuple, you will need to implement deleteTuple. Tuples
contain RecordIDs which allow you to find the page they reside on, so this should be as
simple as locating the page a tuple belongs to and modifying the headers of the page
appropriately.
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11. Adding tuples: The addTuple method in HeapFile.java is responsible for adding a tuple
to a heap file. To add a new tuple to a HeapFile, you will have to find a page with an
empty slot. If no such pages exist in the HeapFile, you need to create a new page and
append it to the physical file on disk. You will need to ensure that the RecordID in the
tuple is updated correctly.
Exercise 3. Implement the remaining skeleton methods in:
● src/simpledb/HeapPage.java
● src/simpledb/HeapFile.java (note that you do not necessarily need to implement
writePage at this point.)
To implement HeapPage, you will need to modify the header bitmap for methods such
as addTuple() and deleteTuple(). You may find that the getNumEmptySlots() and
getSlot() methods we asked you to implement in Lab 1 serve as useful abstractions. Note
that there is a setSlot method provided as an abstraction to modify the filled or cleared
status of a tuple in the page header.
Note that it is important that the HeapFile.addTuple() and HeapFile.deleteTuple()
methods access pages using the BufferPool.getPage() method; otherwise, your
implementation of transactions in the next lab will not work properly.
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12. Implement the following skeleton methods in src/simpledb/BufferPool.java:
● insertTuple()
● deleteTuple()
These methods should call the appropriate methods in the HeapFile that belong to the
table being modified (this extra level of indirection is needed to support other types of
files — like indices — in the future).
At this point, your code should pass the unit tests in HeapPageWriteTest and
HeapFileWriteTest. We have not provided additional unit tests for HeapFile.deleteTuple()
or BufferPool.
2.4. Insertion and deletion
Now that you have written all of the HeapFile machinery to add and remove tuples, you
will implement the Insert and Delete operators.
For plans that implement insert and delete queries, the top-most operator is a special Insert
or Delete operator that modifies the pages on disk. These operators return the number of
affected tuples. This is implemented by returning a single tuple with one integer field,
containing the count.
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13. ● Insert: This operator adds the tuples it reads from its child operator to the tableid
specified in its constructor. It should use the BufferPool.insertTuple() method to do this.
● Delete: This operator deletes the tuples it reads from its child operator from the
tableid specified in its constructor. It should use the BufferPool.deleteTuple() method to do
this.
Exercise 4. Implement the skeleton methods in:
● src/simpledb/Insert.java
● src/simpledb/Delete.java
At this point, your code should pass the unit tests in InsertTest. We have not provided
unit tests for Delete. Furthermore, you should be able to pass the InsertTest and
DeleteTest system tests.
2.5. Page eviction
In Lab 1, we did not correctly observe the limit on the maximum number of pages in the
buffer pool defined by the constructor argument numPages. Now, you will choose a page
eviction policy and instrument any previous code that reads or creates pages to implement
your policy.
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14. When more than numPages pages are in the buffer pool, one page should be evicted from
the pool before the next is loaded. The choice of eviction policy is up to you; it is not
necessary to do something sophisticated. Describe your policy in the lab writeup.
Notice that BufferPool asks you to implement a flushAllPages() method. This is not
something you would ever need in a real implementation of a buffer pool. However, we
need this method for testing purposes. You should never call this method from any real
code. Because of the way we have implemented ScanTest.cacheTest, you will need to
ensure that your flushPage and flushAllPages methods do no evict pages from the buffer
pool to properly pass this test. flushAllPages should call flushPage on all pages in the
BufferPool, and flushPage should write any dirty page to disk and mark it as not dirty, while
leaving it in the BufferPool. The only method which should remove page from the buffer
pool is evictPage, which should call flushPage on any dirty page it evicts.
Exercise 5. Fill in the flushPage() method and additional helper methods to implement
page eviction in:
● src/simpledb/BufferPool.java
If you did not implement writePage() in HeapFile.java above, you will also need to do
that here.
At this point, your code should pass the EvictionTest system test.
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15. Since we will not be checking for any particular eviction policy, this test works by creating
a BufferPool with 16 pages (NOTE: while DEFAULT_PAGES is 50, we are initializing the
BufferPool with less!), scanning a file with many more than 16 pages, and seeing if the
memory usage of the JVM increases by more than 5 MB. If you do not implement an
eviction policy correctly, you will not evict enough pages, and will go over the size
limitation, thus failing the test.
You have now completed this lab. Good work!
2.6. Query walkthrough
The following code implements a simple join query between two tables, each consisting of
three columns of integers. (The file some_data_file1.dat and some_data_file2.dat are
binary representation of the pages from this file). This code is equivalent to the SQL
statement:
SELECT *
FROM some_data_file1, some_data_file2
WHERE some_data_file1.field1 = some_data_file2.field1
AND some_data_file1.id > 1
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16. For more extensive examples of query operations, you may find it helpful to browse the
unit tests for joins, filters, and aggregates.
package simpledb;
import java.io.*;
public class jointest {
public static void main(String[] argv) {
// construct a 3-column table schema
Type types[] = new Type[]{ Type.INT_TYPE, Type.INT_TYPE, Type.INT_TYPE };
String names[] = new String[]{ "field0", "field1", "field2" };
TupleDesc td = new TupleDesc(types, names);
// create the tables, associate them with the data files
// and tell the catalog about the schema the tables.
HeapFile table1 = new HeapFile(new File("some_data_file1.dat"), td);
Database.getCatalog().addTable(table1, "t1");
HeapFile table2 = new HeapFile(new File("some_data_file2.dat"), td);
Database.getCatalog().addTable(table2, "t2");
// construct the query: we use two SeqScans, which spoonfeed
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17. // tuples via iterators into join
TransactionId tid = new TransactionId();
SeqScan ss1 = new SeqScan(tid, table1.getId(), "t1");
SeqScan ss2 = new SeqScan(tid, table2.getId(), "t2");
// create a filter for the where condition
Filter sf1 = new Filter(
new Predicate(0,
Predicate.Op.GREATER_THAN, new IntField(1)), ss1);
JoinPredicate p = new JoinPredicate(1, Predicate.Op.EQUALS, 1);
Join j = new Join(p, sf1, ss2);
// and run it
try {
j.open();
while (j.hasNext()) {
Tuple tup = j.next();
System.out.println(tup);
}
j.close();
Database.getBufferPool().transactionComplete(tid);
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18. } catch (Exception e) {
e.printStackTrace();
}
}
}
Both tables have three integer fields. To express this, we create a TupleDesc object and
pass it an array of Type objects indicating field types and String objects indicating field
names. Once we have created this TupleDesc, we initialize two HeapFile objects
representing the tables. Once we have created the tables, we add them to the Catalog. (If
this were a database server that was already running, we would have this catalog
information loaded; we need to load this only for the purposes of this test).
Once we have finished initializing the database system, we create a query plan. Our plan
consists of two SeqScan operators that scan the tuples from each file on disk, connected to
a Filter operator on the first HeapFile, connected to a Join operator that joins the tuples in
the tables according to the JoinPredicate. In general, these operators are instantiated with
references to the appropriate table (in the case of SeqScan) or child operator (in the case of
e.g., Join). The test program then repeatedly calls next on the Join operator, which in turn
pulls tuples from its children. As tuples are output from the Join, they are printed out on the
command line.
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19. 2.7. Query Parser and Contest
We've provided you with a query parser for SimpleDB that you can use to write and run
SQL queries against your database once you have completed the exercises in this lab.
The first step is to create some data tables and a catalog. Suppose you have a file data.txt
with the following contents:
1.10
2.20
3.30
4.40
5.50
5.50
You can convert this into a SimpleDB table using the convert command (make sure to
type ant first!):
java -jar dist/simpledb.jar convert data.txt 2 "int,int"
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20. This creates a file data.dat. In addition to the table's raw data, the two additional
parameters specify that each record has two fields and that their types are int and int.
Next, create a catalog file, catalog.txt, with the follow contents:
data (f1 int, f2 int)
This tells SimpleDB that there is one table, data (stored in data.dat) with two integer
fields named f1 and f2.
Finally, invoke the parser. You must run java from the command line (ant doesn't work
properly with interactive targets.) From the simpledb/ directory, type:
java -jar dist/simpledb.jar parser catalog.txt
You should see output like:
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21. Finally, you can run a query:
SimpleDB> select d.f1, d.f2 from data d;
Started a new transaction tid = 1221852405823
ADDING TABLE d(data) TO tableMap
TABLE HAS tupleDesc INT(d.f1), INT(d.f2),
1 10
2 20
3 30
4 40
5 50
6 50
6 rows.
----------------
0.16 seconds
SimpleDB>
The parser is relatively full featured (including support for SELECTs, INSERTs,
DELETEs, and transactions), but does have some problems and does not necessarily
report completely informative error messages. Here are some limitations to bear in mind:
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22. ● You must preface every field name with its table name, even if the field name is
unique (you can use table name aliases, as in the example above, but you cannot use the
AS keyword.)
● Nested queries are supported in the WHERE clause, but not the FROM clause.
● No arithmetic expressions are supported (for example, you can't take the sum of
two fields.)
● At most one GROUP BY and one aggregate column are allowed.
● Set-oriented operators like IN, UNION, and EXCEPT are not allowed.
● Only AND expressions in the WHERE clause are allowed.
● UPDATE expressions are not supported.
● The string operator LIKE is allowed, but must be written out fully (that is, the
Postgres tilde [~] shorthand is not allowed.)
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23. Contest (Optional)
The first-place winner in the contest will receive a $50 gift certificate to Amazon. The
second-place winner will receive a $25 gift certificate to Amazon.
We have built SimpleDB-encoded version of the NSF database you used in problem set
1; the needed files are located at: http://db.csail.mit.edu/nsf_data.tar.gz
You should download the file and unpack it. It will create four files in the nsf_data
directory. Move them into the simpledb directory. The following commands will
acomplish this, if you run them from the simpledb directory:
You can then run the parser with:
wget http://db.csail.mit.edu/nsf_data.tar.gz
tar xvzf nsf_data.tar.gz
mv nsf_data/* .
rm -r nsf_data.tar.gz nsf_data
java -jar dist/simpledb.jar parser nsf.schema
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24. We will give a prize to the submission that has shortest total runtime for the following
three queries (where total runtime is the sum of the runtime of each of the individual
queries):
1. SELECT g.title
FROM grants g
WHERE g.title LIKE 'Monkey';
2. SELECT g.title
FROM grants g, researchers r, grant_researchers gr
WHERE r.name = 'Samuel Madden'
AND gr.researcherid = r.id
AND gr.grantid = g.id;
3. SELECT r2.name, count(g.id)
FROM grants g, researchers r, researchers r2, grant_researchers gr,
grant_researchers gr2
WHERE r.name = 'Samuel Madden‘
AND gr.researcherid = r.id
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25. Note that each query will print out its runtime after it executes.
You may wish to create optimized implementations of some of the operators; in particular, a
fast join operator (e.g., not nested loops) will be essential for good performance on queries 2
and 3.
There is currently no optimizer in the parser, so the queries above have been written to cause
the parser generate reasonable plans. Here are some helpful hints about how the parser works
that you may wish to exploit while running these queries:
● The table on the left side of the joins in these queries is passed in as the first DbIterator
parameter to Join.
● Expressions in the WHERE clause are added to the plan from top to bottom, such that
first expression will be the bottom-most operator in the generated query plan. For example, the
generated plan for Query 2 is:
AND gr.grantid = g.id
AND gr2.researcherid = r2.id
AND gr.grantid = gr2.grantid
GROUP BY r2.name
ORDER BY r2.name;
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26. Project (Join (Join (Filter (a),pa),p) )
Our reference implementation can run Query 1 in about .1 seconds, Query 2 in
about .4 seconds, and Query 3 in about .7 seconds. We implemented a special-
purpose join operator for equality joins but did little else to optimize performance.
3. Logistics
You must submit your code (see below) as well as a short (2 pages, maximum) writeup
describing your approach. This writeup should:
● Describe any design decisions you made, including your choice of page eviction
policy. If you used something other than a nested-loops join, describe the tradeoffs of the
algorithm you chose.
● Discuss and justify any changes you made to the API.
● Describe any missing or incomplete elements of your code.
● Describe how long you spent on the lab, and whether there was anything you found
particularly difficult or confusing.
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27. 3. Logistics
You must submit your code (see below) as well as a short (2 pages, maximum) writeup
describing your approach. This writeup should:
● Describe any design decisions you made, including your choice of page eviction policy.
If you used something other than a nested-loops join, describe the tradeoffs of the
algorithm you chose.
● Discuss and justify any changes you made to the API.
● Describe any missing or incomplete elements of your code.
● Describe how long you spent on the lab, and whether there was anything you found
particularly difficult or confusing.
3.1. Collaboration
This lab should be manageable for a single person, but if you prefer to work with a
partner, this is also OK. Larger groups are not allowed. Please indicate clearly who you
worked with, if anyone, on your individual writeup.
3.2. Submitting your assignment
To submit your code, please create a 6.830-lab2.tar.gz tarball (such that, untarred, it
creates a 6.830-lab2/src/simpledb directory with your code) and submit it
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28. .You may submit your code multiple times; we will use the latest version you submit that
arrives before the deadline (before 11:59pm on the due date). If applicable, please indicate
your partner in your writeup. Please also submit your individual writeup as a PDF or plain
text file (.txt). Please do not submit a .doc or .docx. Make sure your code is packaged so
the instructions outlined in section 3.4 work.
3.3. Submitting a bug
Please submit (friendly!) bug reports
● A description of the bug. . When you do, please try to include:
● A .java file we can drop in the test/simpledb directory, compile, and run.
● A .txt file with the data that reproduces the bug. We should be able to convert it to a
.dat file using HeapFileEncoder.
If you are the first person to report a particular bug in the code, we will give you a candy
bar!
3.4 Grading
50% of your grade will be based on whether or not your code passes the system test suite
we will run over it. These tests will be a superset of the tests we have provided. Before
handing in your code, you should make sure produces no errors (passes all of the tests)
from both ant test and ant systemtest
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29. Important: before testing, we will replace your build.xml, HeapFileEncoder.java, and the
entire contents of the test/ directory with our version of these files! This means you
cannot change the format of . dat files! You should therefore be careful changing our
APIs. This also means you need to test whether your code compiles with our test
programs. In other words, we will untar your tarball, replace the files mentioned above,
compile it, and then grade it. It will look roughly like this:
If any of these commands fail, we'll be unhappy, and, therefore, so will your grade.
An additional 50% of your grade will be based on the quality of your writeup and our
subjective evaluation of your code.
We've had a lot of fun designing this assignment, and we hope you enjoy hacking on it!
$ gunzip 6.830-lab2.tar.gz
$ tar xvf 6.830-lab2.tar
$ cd ./6.830-lab2 [replace build.xml, HeapFileEncoder.java, and test]
$ ant test
$ ant systemtest [additional tests]
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