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  • AngularJS dealing with large data sets (Strategy)

    - by Brian
    I am working on developing a personal temperature logging viewer based on my rasppi curl'ing data into my web server's api. Temperatures are taken every 2 seconds and I can have several temperature sensors posting data. Needless to say I will have a lot of data to handle even within the scope of an hour. I have implemented a very simple paging api from the server so the server doesn't timeout and is currently only returning data in 1000 units per call, then paging through the data. I had the idea to intially show say the last 20 minutes of data from a sensor (or all sensors depending on user choices), then allowing the user to select other timeframes from which to show data. The issue comes in when you want to view all sensors or an extended time period (say 24 hours). Is there a best practice of handling this large amount of data? Would it be useful to load those first 20 minutes into the live view and then cache into local storage something like the last 24 hours? I haven't been able to find a decent idea of this in use yet even though there are a lot of ways to take this problem. I am just looking for some suggestions as to what might provide a good balance between good performance and not caching the entire data set on the client side (as beyond a week of data this might not be feasible).

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  • introducing pointers to a large software project

    - by stefan
    I have a fairly large software project written in c++. In there, there is a class foo which represents a structure (by which i don't mean the programmers struct) in which foo-objects can be part of a foo-object. Here's class foo in simplest form: class Foo { private: std::vector<unsigned int> indices; public: void addFooIndex(unsigned int); unsigned int getFooIndex(unsigned int); }; Every foo-object is currently stored in an object of class bar. class Bar { private: std::vector<Foo> foos; public: void addFoo(Foo); std::vector<Foo> getFoos(); } So if a foo-object should represent a structure with a "inner" foo-object, I currently do Foo foo; Foo innerFoo; foo.addFooIndex(bar.getFoos().size() - 1); bar.addFoo(innerFoo); And to get it, I obviously use: Foo foo; for ( unsigned int i = 0; i < foo.getFooIndices().size(); ++i ) { Foo inner_foo; assert( foo.getFooIndices().at(i) < bar.getFoos().size() ); inner_foo = bar.getFoos().at(foo.getFooIndices().at(i)); } So this is not a problem. It just works. But it's not the most elegant solution. I now want to make the inner foos to be "more connected" with the foo-object. It would be obviously to change class foo to: class Foo { private: std::vector<Foo*> foo_pointers; public: void addFooPointer(Foo*); std::vector<Foo*> getFooPointers(); }; So now, for my question: How to gently change this basic class without messing up the whole code? Is there a "clean way"?

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  • WCF SSL secure transfer or large payloads without changing firewall.

    - by Sir Mix
    I need to transfer small amounts of data intermittently from clients to our server in a secure fashion and pull down large binary files from the server ocassionally. It's important for all this to be reliable. I'm anticipating 100,000 clients. I control both ends, but I want to deliver a solution that doesn't require changing the firewall for the majority of customers. A lag of one or two minutes before the information migrates to the server or comes down seems to be acceptable at this time. We need to make the connection secure, so was thinking about SSL, but open to suggestions. Basically, what is the best binding to use in this situation so that we have a secure transmission and the system handles the stress and load in a way that works for 95% of clients out of the box (firewalls will not block in majority of firewall configurations).

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  • How do I know an array of structures was allocated in the Large Object Heap (LOH) in .NET?

    - by AMissico
    After some experimenation using CLR Profiler, I found that: Node[,] n = new Node[100,23]; //'84,028 bytes, is not placed in LOH Node[,] n = new Node[100,24]; //'86,428 bytes, is public struct Node { public int Value; public Point Point; public Color Color; public bool Handled; public Object Tag; } During run-time, how do I know an array of structures (or any array) was allocated in the Large Object Heap (LOH)?

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  • MySQL ALTER TABLE on very large table - is it safe to run it?

    - by Timothy Mifsud
    I have a MySQL database with one particular MyISAM table of above 4 million rows. I update this table about once a week with about 2000 new rows. After updating, I then perform the following statement: ALTER TABLE x ORDER BY PK DESC i.e. I order the table in question by the primary key field in descending order. This has not given me any problems on my development machine (Windows with 3GB memory), but, even though 3 times I have tried it successfully on the production Linux server (with 512MB RAM - and achieving the resulted sorted table in about 6 minutes each time), the last time I tried it I had to stop the query after about 30 minutes and rebuild the database from a backup. I have started to wonder whether a 512MB server can cope with that statement (on such a large table) as I have read that a temporary table is created to perform the ALTER TABLE command?! And, if it can be safely run, what should be the expected time for the alteration of the table? Thanks in advance, Tim

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  • How to send mail with large size attachment using System.Net.Mail to Google Apps ?

    - by Preeti
    Hi, I am trying to send mail with large size attachment upto (1MB,2MB). But sending mail fails.(Sending to Google Apps) as: MailItemEntry[] entries = new MailItemEntry[1]; String EmlPath = "C:\\testemail.eml"; String msg = File.ReadAllText(EmlPath); entries[0] = new MailItemEntry(); entries[0].Rfc822Msg = new Rfc822MsgElement(msg); How can i divide attachments into multi part? Exception I am getting while migrating this EML to Google apps is: {"The request was aborted: The request was canceled."}

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  • How can i insert large files in mysql db using php?

    - by anjan
    Hi! I want to upload a large file of size 10M max to my mysql database. Using .htaccess i changed the PHP's own file upload limit to "10485760" = 10M, i am able to upload files upto 10M size without any problem. But i can not insert the file in database if it is more that 1M in size. i am using file_get_contents to read all file data and pass it to the insert query as a string to be inserted into a LONGBLOB field. But files with more than 1M size is not being added to database, though i can use print_r($_FILES) to examine that the file uploaded correctly. Any help will be appreciated and i will need it within next 6 hours. So, please help! best regards, Anjan

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  • k-means clustering in R on very large, sparse matrix?

    - by movingabout
    Hello, I am trying to do some k-means clustering on a very large matrix. The matrix is approximately 500000 rows x 4000 cols yet very sparse (only a couple of "1" values per row). The whole thing does not fit into memory, so I converted it into a sparse ARFF file. But R obviously can't read the sparse ARFF file format. I also have the data as a plain CSV file. Is there any package available in R for loading such sparse matrices efficiently? I'd then use the regular k-means algorithm from the cluster package to proceed. Many thanks

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  • Enabling OUD Entry Cache for large static groups

    - by Sylvain Duloutre
    Oracle Unified Directory can take advantage of several caches to improve performances. especially the so-called database cache and the file system cache. In addition to that, it is possible to use an entry cache to cache LDAP entries. By default, the entry cache is not used. In specific deployements involving large static groups, it may worth loading the group entries to the entry cache to speed up group membership and group-based aci evaluation. To do so, run the following commands: First, specify which entries should reside in the entry cache. In the commad below, only entries matching the LDAP filter " (|(objctclass=groupOfNames)(objectclass=groupOfUniqueNames)) " will be stored in the entry cache. dsconfig set-entry-cache-prop \          --cache-name FIFO \          --add include-filter:\(\|\(objctclass=groupOfNames\)\(objectclass=groupOfUniqueNames\)\)          --port <ADMIN_PORT> \          --bindDN cn=Directory\ Manager \          --bindPassword ****** \          --no-prompt Then enable the entry cache: dsconfig set-entry-cache-prop \          --cache-name FIFO \          --set enabled:true \          --port <ADMIN_PORT> \          --bindDN cn=Directory\ Manager \          --bindPassword ****** \          --no-prompt In addition to that, you can control how much memory the entry cache can use: oud@s96sec1d0-v3:/application/oud : dsconfig -X -n -p <ADMIN PORT> -D "cn=Directory Manager" -w <password> get-entry-cache-prop --cache-name FIFO Property           : Value(s) -------------------:----------------------------------------------------------- cache-level        : 1 enabled            : true exclude-filter     : - include-filter     : (|(objctclass=groupOfNames)(objectclass=groupOfUniqueNames)) max-entries        : 2147483647 max-memory-percent : 90 You can change the max-entries amd max-memory-percent properties to control the entry cache size using the dsconfig set-entry-cache-prop command.

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  • How is architectural design done in an agile environment?

    - by B?????
    I have read Principles for the Agile Architect, where they defined next principles : Principle #1 The teams that code the system design the system. Principle #2 Build the simplest architecture that can possibly work. Principle #3 When in doubt, code it out. Principle #4 They build it, they test it. Principle #5 The bigger the system, the longer the runway. Principle #6 System architecture is a role collaboration. Principle #7 There is no monopoly on innovation. The paper says that most of the architecture design is done during the coding phase, and only system design before that. That is fine. So, how is the system design done? Using UML? Or a document that defines interfaces and major blocks? Maybe something else?

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  • What should i do for accomodating large scale data storage and retrieval?

    - by kailashbuki
    There's two columns in the table inside mysql database. First column contains the fingerprint while the second one contains the list of documents which have that fingerprint. It's much like an inverted index built by search engines. An instance of a record inside the table is shown below; 34 "doc1, doc2, doc45" The number of fingerprints is very large(can range up to trillions). There are basically following operations in the database: inserting/updating the record & retrieving the record accoring to the match in fingerprint. The table definition python snippet is: self.cursor.execute("CREATE TABLE IF NOT EXISTS `fingerprint` (fp BIGINT, documents TEXT)") And the snippet for insert/update operation is: if self.cursor.execute("UPDATE `fingerprint` SET documents=CONCAT(documents,%s) WHERE fp=%s",(","+newDocId, thisFP))== 0L: self.cursor.execute("INSERT INTO `fingerprint` VALUES (%s, %s)", (thisFP,newDocId)) The only bottleneck i have observed so far is the query time in mysql. My whole application is web based. So time is a critical factor. I have also thought of using cassandra but have less knowledge of it. Please suggest me a better way to tackle this problem.

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  • Refactoring a Single Rails Model with large methods & long join queries trying to do everything

    - by Kelseydh
    I have a working Ruby on Rails Model that I suspect is inefficient, hard to maintain, and full of unnecessary SQL join queries. I want to optimize and refactor this Model (Quiz.rb) to comply with Rails best practices, but I'm not sure how I should do it. The Rails app is a game that has Missions with many Stages. Users complete Stages by answering Questions that have correct or incorrect Answers. When a User tries to complete a stage by answering questions, the User gets a Quiz entry with many Attempts. Each Attempt records an Answer submitted for that Question within the Stage. A user completes a stage or mission by getting every Attempt correct, and their progress is tracked by adding a new entry to the UserMission & UserStage join tables. All of these features work, but unfortunately the Quiz.rb Model has been twisted to handle almost all of it exclusively. The callbacks began at 'Quiz.rb', and because I wasn't sure how to leave the Quiz Model during a multi-model update, I resorted to using Rails Console to have the @quiz instance variable via self.some_method do all the heavy lifting to retrieve every data value for the game's business logic; resulting in large extended join queries that "dance" all around the Database schema. The Quiz.rb Model that Smells: class Quiz < ActiveRecord::Base belongs_to :user has_many :attempts, dependent: :destroy before_save :check_answer before_save :update_user_mission_and_stage accepts_nested_attributes_for :attempts, :reject_if => lambda { |a| a[:answer_id].blank? }, :allow_destroy => true #Checks every answer within each quiz, adding +1 for each correct answer #within a stage quiz, and -1 for each incorrect answer def check_answer stage_score = 0 self.attempts.each do |attempt| if attempt.answer.correct? == true stage_score += 1 elsif attempt.answer.correct == false stage_score - 1 end end stage_score end def winner return true end def update_user_mission_and_stage ####### #Step 1: Checks if UserMission exists, finds or creates one. #if no UserMission for the current mission exists, creates a new UserMission if self.user_has_mission? == false @user_mission = UserMission.new(user_id: self.user.id, mission_id: self.current_stage.mission_id, available: true) @user_mission.save else @user_mission = self.find_user_mission end ####### #Step 2: Checks if current UserStage exists, stops if true to prevent duplicate entry if self.user_has_stage? @user_mission.save return true else ####### ##Step 3: if step 2 returns false: ##Initiates UserStage creation instructions #checks for winner (winner actions need to be defined) if they complete last stage of last mission for a given orientation if self.passed? && self.is_last_stage? && self.is_last_mission? create_user_stage_and_update_user_mission self.winner #NOTE: The rest are the same, but specify conditions that are available to add badges or other actions upon those conditions occurring: ##if user completes first stage of a mission elsif self.passed? && self.is_first_stage? && self.is_first_mission? create_user_stage_and_update_user_mission #creates user badge for finishing first stage of first mission self.user.add_badge(5) self.user.activity_logs.create(description: "granted first-stage badge", type_event: "badge", value: "first-stage") #If user completes last stage of a given mission, creates a new UserMission elsif self.passed? && self.is_last_stage? && self.is_first_mission? create_user_stage_and_update_user_mission #creates user badge for finishing first mission self.user.add_badge(6) self.user.activity_logs.create(description: "granted first-mission badge", type_event: "badge", value: "first-mission") elsif self.passed? create_user_stage_and_update_user_mission else self.passed? == false return true end end end #Creates a new UserStage record in the database for a successful Quiz question passing def create_user_stage_and_update_user_mission @nu_stage = @user_mission.user_stages.new(user_id: self.user.id, stage_id: self.current_stage.id) @nu_stage.save @user_mission.save self.user.add_points(50) end #Boolean that defines passing a stage as answering every question in that stage correct def passed? self.check_answer >= self.number_of_questions end #Returns the number of questions asked for that stage's quiz def number_of_questions self.attempts.first.answer.question.stage.questions.count end #Returns the current_stage for the Quiz, routing through 1st attempt in that Quiz def current_stage self.attempts.first.answer.question.stage end #Gives back the position of the stage relative to its mission. def stage_position self.attempts.first.answer.question.stage.position end #will find the user_mission for the current user and stage if it exists def find_user_mission self.user.user_missions.find_by_mission_id(self.current_stage.mission_id) end #Returns true if quiz was for the last stage within that mission #helpful for triggering actions related to a user completing a mission def is_last_stage? self.stage_position == self.current_stage.mission.stages.last.position end #Returns true if quiz was for the first stage within that mission #helpful for triggering actions related to a user completing a mission def is_first_stage? self.stage_position == self.current_stage.mission.stages_ordered.first.position end #Returns true if current user has a UserMission for the current stage def user_has_mission? self.user.missions.ids.include?(self.current_stage.mission.id) end #Returns true if current user has a UserStage for the current stage def user_has_stage? self.user.stages.include?(self.current_stage) end #Returns true if current user is on the last mission based on position within a given orientation def is_first_mission? self.user.missions.first.orientation.missions.by_position.first.position == self.current_stage.mission.position end #Returns true if current user is on the first stage & mission of a given orientation def is_last_mission? self.user.missions.first.orientation.missions.by_position.last.position == self.current_stage.mission.position end end My Question Currently my Rails server takes roughly 500ms to 1 sec to process single @quiz.save action. I am confident that the slowness here is due to sloppy code, not bad Database ERD design. What does a better solution look like? And specifically: Should I use join queries to retrieve values like I did here, or is it better to instantiate new objects within the model instead? Or am I missing a better solution? How should update_user_mission_and_stage be refactored to follow best practices? Relevant Code for Reference: quizzes_controller.rb w/ Controller Route Initiating Callback: class QuizzesController < ApplicationController before_action :find_stage_and_mission before_action :find_orientation before_action :find_question def show end def create @user = current_user @quiz = current_user.quizzes.new(quiz_params) if @quiz.save if @quiz.passed? if @mission.next_mission.nil? && @stage.next_stage.nil? redirect_to root_path, notice: "Congratulations, you have finished the last mission!" elsif @stage.next_stage.nil? redirect_to [@mission.next_mission, @mission.first_stage], notice: "Correct! Time for Mission #{@mission.next_mission.position}", info: "Starting next mission" else redirect_to [@mission, @stage.next_stage], notice: "Answer Correct! You passed the stage!" end else redirect_to [@mission, @stage], alert: "You didn't get every question right, please try again." end else redirect_to [@mission, @stage], alert: "Sorry. We were unable to save your answer. Please contact the admministrator." end @questions = @stage.questions.all end private def find_stage_and_mission @stage = Stage.find(params[:stage_id]) @mission = @stage.mission end def find_question @question = @stage.questions.find_by_id params[:id] end def quiz_params params.require(:quiz).permit(:user_id, :attempt_id, {attempts_attributes: [:id, :quiz_id, :answer_id]}) end def find_orientation @orientation = @mission.orientation @missions = @orientation.missions.by_position end end Overview of Relevant ERD Database Relationships: Mission - Stage - Question - Answer - Attempt <- Quiz <- User Mission - UserMission <- User Stage - UserStage <- User Other Models: Mission.rb class Mission < ActiveRecord::Base belongs_to :orientation has_many :stages has_many :user_missions, dependent: :destroy has_many :users, through: :user_missions #SCOPES scope :by_position, -> {order(position: :asc)} def stages_ordered stages.order(:position) end def next_mission self.orientation.missions.find_by_position(self.position.next) end def first_stage next_mission.stages_ordered.first end end Stage.rb: class Stage < ActiveRecord::Base belongs_to :mission has_many :questions, dependent: :destroy has_many :user_stages, dependent: :destroy has_many :users, through: :user_stages accepts_nested_attributes_for :questions, reject_if: :all_blank, allow_destroy: true def next_stage self.mission.stages.find_by_position(self.position.next) end end Question.rb class Question < ActiveRecord::Base belongs_to :stage has_many :answers, dependent: :destroy accepts_nested_attributes_for :answers, :reject_if => lambda { |a| a[:body].blank? }, :allow_destroy => true end Answer.rb: class Answer < ActiveRecord::Base belongs_to :question has_many :attempts, dependent: :destroy end Attempt.rb: class Attempt < ActiveRecord::Base belongs_to :answer belongs_to :quiz end User.rb: class User < ActiveRecord::Base belongs_to :school has_many :activity_logs has_many :user_missions, dependent: :destroy has_many :missions, through: :user_missions has_many :user_stages, dependent: :destroy has_many :stages, through: :user_stages has_many :orientations, through: :school has_many :quizzes, dependent: :destroy has_many :attempts, through: :quizzes def latest_stage_position self.user_missions.last.user_stages.last.stage.position end end UserMission.rb class UserMission < ActiveRecord::Base belongs_to :user belongs_to :mission has_many :user_stages, dependent: :destroy end UserStage.rb class UserStage < ActiveRecord::Base belongs_to :user belongs_to :stage belongs_to :user_mission end

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  • How to simulate inner join on very large files in java (without running out of memory)

    - by Constantin
    I am trying to simulate SQL joins using java and very large text files (INNER, RIGHT OUTER and LEFT OUTER). The files have already been sorted using an external sort routine. The issue I have is I am trying to find the most efficient way to deal with the INNER join part of the algorithm. Right now I am using two Lists to store the lines that have the same key and iterate through the set of lines in the right file once for every line in the left file (provided the keys still match). In other words, the join key is not unique in each file so would need to account for the Cartesian product situations ... left_01, 1 left_02, 1 right_01, 1 right_02, 1 right_03, 1 left_01 joins to right_01 using key 1 left_01 joins to right_02 using key 1 left_01 joins to right_03 using key 1 left_02 joins to right_01 using key 1 left_02 joins to right_02 using key 1 left_02 joins to right_03 using key 1 My concern is one of memory. I will run out of memory if i use the approach below but still want the inner join part to work fairly quickly. What is the best approach to deal with the INNER join part keeping in mind that these files may potentially be huge public class Joiner { private void join(BufferedReader left, BufferedReader right, BufferedWriter output) throws Throwable { BufferedReader _left = left; BufferedReader _right = right; BufferedWriter _output = output; Record _leftRecord; Record _rightRecord; _leftRecord = read(_left); _rightRecord = read(_right); while( _leftRecord != null && _rightRecord != null ) { if( _leftRecord.getKey() < _rightRecord.getKey() ) { write(_output, _leftRecord, null); _leftRecord = read(_left); } else if( _leftRecord.getKey() > _rightRecord.getKey() ) { write(_output, null, _rightRecord); _rightRecord = read(_right); } else { List<Record> leftList = new ArrayList<Record>(); List<Record> rightList = new ArrayList<Record>(); _leftRecord = readRecords(leftList, _leftRecord, _left); _rightRecord = readRecords(rightList, _rightRecord, _right); for( Record equalKeyLeftRecord : leftList ){ for( Record equalKeyRightRecord : rightList ){ write(_output, equalKeyLeftRecord, equalKeyRightRecord); } } } } if( _leftRecord != null ) { write(_output, _leftRecord, null); _leftRecord = read(_left); while(_leftRecord != null) { write(_output, _leftRecord, null); _leftRecord = read(_left); } } else { if( _rightRecord != null ) { write(_output, null, _rightRecord); _rightRecord = read(_right); while(_rightRecord != null) { write(_output, null, _rightRecord); _rightRecord = read(_right); } } } _left.close(); _right.close(); _output.flush(); _output.close(); } private Record read(BufferedReader reader) throws Throwable { Record record = null; String data = reader.readLine(); if( data != null ) { record = new Record(data.split("\t")); } return record; } private Record readRecords(List<Record> list, Record record, BufferedReader reader) throws Throwable { int key = record.getKey(); list.add(record); record = read(reader); while( record != null && record.getKey() == key) { list.add(record); record = read(reader); } return record; } private void write(BufferedWriter writer, Record left, Record right) throws Throwable { String leftKey = (left == null ? "null" : Integer.toString(left.getKey())); String leftData = (left == null ? "null" : left.getData()); String rightKey = (right == null ? "null" : Integer.toString(right.getKey())); String rightData = (right == null ? "null" : right.getData()); writer.write("[" + leftKey + "][" + leftData + "][" + rightKey + "][" + rightData + "]\n"); } public static void main(String[] args) { try { BufferedReader leftReader = new BufferedReader(new FileReader("LEFT.DAT")); BufferedReader rightReader = new BufferedReader(new FileReader("RIGHT.DAT")); BufferedWriter output = new BufferedWriter(new FileWriter("OUTPUT.DAT")); Joiner joiner = new Joiner(); joiner.join(leftReader, rightReader, output); } catch (Throwable e) { e.printStackTrace(); } } } After applying the ideas from the proposed answer, I changed the loop to this private void join(RandomAccessFile left, RandomAccessFile right, BufferedWriter output) throws Throwable { long _pointer = 0; RandomAccessFile _left = left; RandomAccessFile _right = right; BufferedWriter _output = output; Record _leftRecord; Record _rightRecord; _leftRecord = read(_left); _rightRecord = read(_right); while( _leftRecord != null && _rightRecord != null ) { if( _leftRecord.getKey() < _rightRecord.getKey() ) { write(_output, _leftRecord, null); _leftRecord = read(_left); } else if( _leftRecord.getKey() > _rightRecord.getKey() ) { write(_output, null, _rightRecord); _pointer = _right.getFilePointer(); _rightRecord = read(_right); } else { long _tempPointer = 0; int key = _leftRecord.getKey(); while( _leftRecord != null && _leftRecord.getKey() == key ) { _right.seek(_pointer); _rightRecord = read(_right); while( _rightRecord != null && _rightRecord.getKey() == key ) { write(_output, _leftRecord, _rightRecord ); _tempPointer = _right.getFilePointer(); _rightRecord = read(_right); } _leftRecord = read(_left); } _pointer = _tempPointer; } } if( _leftRecord != null ) { write(_output, _leftRecord, null); _leftRecord = read(_left); while(_leftRecord != null) { write(_output, _leftRecord, null); _leftRecord = read(_left); } } else { if( _rightRecord != null ) { write(_output, null, _rightRecord); _rightRecord = read(_right); while(_rightRecord != null) { write(_output, null, _rightRecord); _rightRecord = read(_right); } } } _left.close(); _right.close(); _output.flush(); _output.close(); } UPDATE While this approach worked, it was terribly slow and so I have modified this to create files as buffers and this works very well. Here is the update ... private long getMaxBufferedLines(File file) throws Throwable { long freeBytes = Runtime.getRuntime().freeMemory() / 2; return (freeBytes / (file.length() / getLineCount(file))); } private void join(File left, File right, File output, JoinType joinType) throws Throwable { BufferedReader leftFile = new BufferedReader(new FileReader(left)); BufferedReader rightFile = new BufferedReader(new FileReader(right)); BufferedWriter outputFile = new BufferedWriter(new FileWriter(output)); long maxBufferedLines = getMaxBufferedLines(right); Record leftRecord; Record rightRecord; leftRecord = read(leftFile); rightRecord = read(rightFile); while( leftRecord != null && rightRecord != null ) { if( leftRecord.getKey().compareTo(rightRecord.getKey()) < 0) { if( joinType == JoinType.LeftOuterJoin || joinType == JoinType.LeftExclusiveJoin || joinType == JoinType.FullExclusiveJoin || joinType == JoinType.FullOuterJoin ) { write(outputFile, leftRecord, null); } leftRecord = read(leftFile); } else if( leftRecord.getKey().compareTo(rightRecord.getKey()) > 0 ) { if( joinType == JoinType.RightOuterJoin || joinType == JoinType.RightExclusiveJoin || joinType == JoinType.FullExclusiveJoin || joinType == JoinType.FullOuterJoin ) { write(outputFile, null, rightRecord); } rightRecord = read(rightFile); } else if( leftRecord.getKey().compareTo(rightRecord.getKey()) == 0 ) { String key = leftRecord.getKey(); List<File> rightRecordFileList = new ArrayList<File>(); List<Record> rightRecordList = new ArrayList<Record>(); rightRecordList.add(rightRecord); rightRecord = consume(key, rightFile, rightRecordList, rightRecordFileList, maxBufferedLines); while( leftRecord != null && leftRecord.getKey().compareTo(key) == 0 ) { processRightRecords(outputFile, leftRecord, rightRecordFileList, rightRecordList, joinType); leftRecord = read(leftFile); } // need a dispose for deleting files in list } else { throw new Exception("DATA IS NOT SORTED"); } } if( leftRecord != null ) { if( joinType == JoinType.LeftOuterJoin || joinType == JoinType.LeftExclusiveJoin || joinType == JoinType.FullExclusiveJoin || joinType == JoinType.FullOuterJoin ) { write(outputFile, leftRecord, null); } leftRecord = read(leftFile); while(leftRecord != null) { if( joinType == JoinType.LeftOuterJoin || joinType == JoinType.LeftExclusiveJoin || joinType == JoinType.FullExclusiveJoin || joinType == JoinType.FullOuterJoin ) { write(outputFile, leftRecord, null); } leftRecord = read(leftFile); } } else { if( rightRecord != null ) { if( joinType == JoinType.RightOuterJoin || joinType == JoinType.RightExclusiveJoin || joinType == JoinType.FullExclusiveJoin || joinType == JoinType.FullOuterJoin ) { write(outputFile, null, rightRecord); } rightRecord = read(rightFile); while(rightRecord != null) { if( joinType == JoinType.RightOuterJoin || joinType == JoinType.RightExclusiveJoin || joinType == JoinType.FullExclusiveJoin || joinType == JoinType.FullOuterJoin ) { write(outputFile, null, rightRecord); } rightRecord = read(rightFile); } } } leftFile.close(); rightFile.close(); outputFile.flush(); outputFile.close(); } public void processRightRecords(BufferedWriter outputFile, Record leftRecord, List<File> rightFiles, List<Record> rightRecords, JoinType joinType) throws Throwable { for(File rightFile : rightFiles) { BufferedReader rightReader = new BufferedReader(new FileReader(rightFile)); Record rightRecord = read(rightReader); while(rightRecord != null){ if( joinType == JoinType.LeftOuterJoin || joinType == JoinType.RightOuterJoin || joinType == JoinType.FullOuterJoin || joinType == JoinType.InnerJoin ) { write(outputFile, leftRecord, rightRecord); } rightRecord = read(rightReader); } rightReader.close(); } for(Record rightRecord : rightRecords) { if( joinType == JoinType.LeftOuterJoin || joinType == JoinType.RightOuterJoin || joinType == JoinType.FullOuterJoin || joinType == JoinType.InnerJoin ) { write(outputFile, leftRecord, rightRecord); } } } /** * consume all records having key (either to a single list or multiple files) each file will * store a buffer full of data. The right record returned represents the outside flow (key is * already positioned to next one or null) so we can't use this record in below while loop or * within this block in general when comparing current key. The trick is to keep consuming * from a List. When it becomes empty, re-fill it from the next file until all files have * been consumed (and the last node in the list is read). The next outside iteration will be * ready to be processed (either it will be null or it points to the next biggest key * @throws Throwable * */ private Record consume(String key, BufferedReader reader, List<Record> records, List<File> files, long bufferMaxRecordLines ) throws Throwable { boolean processComplete = false; Record record = records.get(records.size() - 1); while(!processComplete){ long recordCount = records.size(); if( record.getKey().compareTo(key) == 0 ){ record = read(reader); while( record != null && record.getKey().compareTo(key) == 0 && recordCount < bufferMaxRecordLines ) { records.add(record); recordCount++; record = read(reader); } } processComplete = true; // if record is null, we are done if( record != null ) { // if the key has changed, we are done if( record.getKey().compareTo(key) == 0 ) { // Same key means we have exhausted the buffer. // Dump entire buffer into a file. The list of file // pointers will keep track of the files ... processComplete = false; dumpBufferToFile(records, files); records.clear(); records.add(record); } } } return record; } /** * Dump all records in List of Record objects to a file. Then, add that * file to List of File objects * * NEED TO PLACE A LIMIT ON NUMBER OF FILE POINTERS (check size of file list) * * @param records * @param files * @throws Throwable */ private void dumpBufferToFile(List<Record> records, List<File> files) throws Throwable { String prefix = "joiner_" + files.size() + 1; String suffix = ".dat"; File file = File.createTempFile(prefix, suffix, new File("cache")); BufferedWriter writer = new BufferedWriter(new FileWriter(file)); for( Record record : records ) { writer.write( record.dump() ); } files.add(file); writer.flush(); writer.close(); }

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  • Managing web.config for teams in VS2010 & TFS

    - by Jarrett
    With VS2010's mandate that web.config be included in the project, how do we allow everyone to keep their own custom config file without getting into source control problems? Previously, we would simply leave web.config out of our project, allowing everyone to keep their own local version of web.config on their machine. We moved to VS2010, and it is now forcing me to add web.config to my project in order to run debug mode. Because our project is linked to TFS, it automatically adds web.config to source control and tries to maintain it that way. Is there a way to run in debug mode without including web.config in your project? Or is there a better way to manage config files?

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  • Fossil gpg workflow for teams

    - by Alex_coder
    I'm learning fossil and trying to reproduce a workflow for two people modifying the same source code tree. So, Alice and Bob both have local repositories of some source code. Both have autosync off. Alice hacks some more, does some commits signing check-ins with her gpg key. This part is fine, as Alice I've managed to generate gpg keys, fossil asked me the key password when commiting. I'm also aware of gpg-agent but don't use it yet, because I'm trying to keep things as simple as possible for now. Now, at some point Bob pulls changes from Alice's fossil repo. How would he verify Alice's signed check-ins?

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  • HTTP Error: 413 Request Entity Too Large

    - by Torben Gundtofte-Bruun
    What I have: I have an iPhone app that sends HTTP POST requests (XML format) to a web service written in PHP. This is on a hosted virtual private server so I can edit httpd.conf and other files on the server, and restart Apache. The problem: The web service works perfectly as long as the request is not too large, but around 1MB is the limit. After that, the server responds with: <!DOCTYPE HTML PUBLIC "-//IETF//DTD HTML 2.0//EN"> <html><head> <title>413 Request Entity Too Large</title> </head><body> <h1>Request Entity Too Large</h1> The requested resource<br />/<br /> does not allow request data with POST requests, or the amount of data provided in the request exceeds the capacity limit. </body></html> The web service writes its own log file, and I can see that small messages are processed fine. Larger messages are not logged at all so I guess that something in Apache rejects them before they even reach the web service? Things I've tried without success: (I've restarted Apache after every change. These steps are incremental.) hosting provider's web-based configuration panel: disable mod_security httpd.conf: LimitXMLRequestBody 0 and LimitRequestBody 0 httpd.conf: LimitXMLRequestBody 100000000 and LimitRequestBody 100000000 httpd.conf: SecRequestBodyLimit 100000000 At this stage, Apache's error.log contains a message: ModSecurity: Request body no files data length is larger than the configured limit (1048576) It looks like my step #4 didn't really take, which is consistent with step #1 but does not explain why mod_security appears to be active after all. What more can I try, to get the web service to receive large messages?

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  • Squid: The request or reply is too large

    - by Ueli
    I have done a reverse proxy with an Apache in the background (on the same server). All works great but I can't open one page. I get the error "The request or reply is too large." In my cache.log contains: 2010/12/09 15:28:29| WARNING: http.c:971: HTTP header too large 2010/12/09 15:29:03| ctx: enter level 0: 'http://server/admin/cms/nav' 2010/12/09 15:29:03| httpProcessReplyHeader: Too large reply header 2010/12/09 15:29:03| ctx: exit level 0 In my squid.conf i disabled the limitations of the request and reply header, without success: reply_body_max_size 0 allow all request_body_max_size 0 Does someone know why that don't work? Thank you very much. Squid Version: Squid Cache: Version 2.7.STABLE3 configure options: '--prefix=/usr' '--exec_prefix=/usr' '--bindir=/usr/sbin' '--sbindir=/usr/sbin' '--libexecdir=/usr/lib/squid' '--sysconfdir=/etc/squid' '--localstatedir=/var/spool/squid' '--datadir=/usr/share/squid' '--enable-async-io' '--with-pthreads' '--enable-storeio=ufs,aufs,coss,diskd,null' '--enable-linux-netfilter' '--enable-arp-acl' '--enable-epoll' '--enable-removal-policies=lru,heap' '--enable-snmp' '--enable-delay-pools' '--enable-htcp' '--enable-cache-digests' '--enable-underscores' '--enable-referer-log' '--enable-useragent-log' '--enable-auth=basic,digest,ntlm,negotiate' '--enable-negotiate-auth-helpers=squid_kerb_auth' '--enable-carp' '--enable-follow-x-forwarded-for' '--with-large-files' '--with-maxfd=65536' 'amd64-debian-linux' 'build_alias=amd64-debian-linux' 'host_alias=amd64-debian-linux' 'target_alias=amd64-debian-linux' 'CFLAGS=-Wall -g -O2' 'LDFLAGS=' 'CPPFLAGS='

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  • Drupal development workflow for teams

    - by Raul Singahn
    In my last Drupal project we were 5 people doing coding and installing new modules, at the same type our client was putting up content. Since we chose to have only one server for simplicity there were times were many people needed to write to the same files like style.css or page.tpl.php or when someones broken code would prevent others from working Are there any best practises for a team that works with Drupal? How can leverage code repositories or sandboxes?

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  • How big teams work with database

    - by Michael Riva
    Lets say I have a team, 20 developers. And we are making a project on .net. In team every one can easy create their tables according to their modules working on it. And we think to use an ORM, can you tell me how can and which ORM tools for good to working with team. Is there any proven way? I m asking becouse I never work with a team, so I dont know the best practices. So you guys what kind of pattern you use?. I realy wonder. The team members can write their unit tests and supply necessary design patterns. What kind of approach I need to create to manage team? What kind of ORM tools that we have to use?

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  • Divide people into teams for most satisfaction

    - by Jweede
    Just a curiosity question. Remember when in class groupwork the professor would divide people up into groups of a certain number (n)? Some of my professors would take a list of n people one wants to work with and n people one doesn't want to work with from each student, and then magically turn out groups of n where students would be matched up with people they prefer and avoid working with people they don't prefer. To me this algorithm sounds a lot like a Knapsack problem, but I thought I would ask around about what your approach to this sort of problem would be.

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  • Compress Large Video Files with DivX / Xvid and AutoGK

    - by DigitalGeekery
    Have you ever recorded home video on a camcorder only to find the video size is enormous? What if you wanted to share a video clip on YouTube or another video sharing site, but the file size was bigger than the maximum upload size? Today we’ll look at a way to compress certain video files, such as MPEG and AVI, with Auto Gordian Knot (AutoGK). AutoGK is a free application that runs on Windows. It supports Mpeg1, Mpeg2, Transport Streams, Vobs, and virtually any codec used for an .AVI file. AutoGK will accept as input the following file types: MPG, MPEG, VOB, VRO, M2V, DAT, IFO, TS, TP, TRP, M2T, and AVI. Files are output as .AVI files and are converted using the DivX or XviD codecs. Installing and Using AutoGK Download and install AutoGK (link below) Open the AutoGK. You’ll need to navigate a few wizard screens, but you can just accept the defaults.   Choose your video file by clicking on the folder to the right of the Input file text box.   Browse for and select your video file and click “Open.”   For this example, we’ll be working with an .AVI file that’s 167MB in size.   The output file is copied into the same directory as the input file by default, but you can change this if you choose. If the input file is also .AVI, AutoGK will append an _agk to the output file so that the original is not overwritten. Next, you’ll see any audio tracks listed. You can unselect the check box if you’d like to remove the audio track. You can choose one of the Predefined size options… Or, select a Custom size in MB or Target Quality in percentage. For our example, we’ll be compressing our 167MB file to 35MB. Click on Advanced Settings. Here you can choose your codec, if you have a preference, as well as output resolution and output audio. If you’d like to use the DivX codec, you’ll need to download and install it separately. (See link below) Typically you’ll want to keep the defaults. Click “OK.” Now you’re ready to add your file conversion job to the Job queue. Click Add Job to add it to the queue. You can add multiple files conversions to the job queue and  convert them in one batch. Click Start to begin the conversion process. The process will begin. You’ll be able to see the progress in the Log window on the bottom left. When the conversion is complete you’ll see a “Job finished” and the total time in the log window.   Check your output file to see it’s compressed size. Test your video just to make sure the output quality is satisfactory.   Note:  Conversion times can vary greatly depending on the size of the file and your computer hardware. Files that are several GBs in size may take several hours to compress. AutoGK is no longer being actively developed but is still a wonderful DivX/XviD conversion tool. It can also be used to compress and convert non-copy protected DVDs. Downloads AutoGordianKnot DivX (optional) Similar Articles Productive Geek Tips Use Your Mac Mini as a Media Server Part 2Make Disk Cleanup Compress Older(or Newer) Files on XPMysticgeek Blog: Exclusive Look Inside Vreel – Including Interview With Vreel Founder!Friday Fun: Watch HD Video Content with MeevidConvert a DVD Movie Directly to AVI with FairUse Wizard 2.9 TouchFreeze Alternative in AutoHotkey The Icy Undertow Desktop Windows Home Server – Backup to LAN The Clear & Clean Desktop Use This Bookmarklet to Easily Get Albums Use AutoHotkey to Assign a Hotkey to a Specific Window Latest Software Reviews Tinyhacker Random Tips DVDFab 6 Revo Uninstaller Pro Registry Mechanic 9 for Windows PC Tools Internet Security Suite 2010 Penolo Lets You Share Sketches On Twitter Visit Woolyss.com for Old School Games, Music and Videos Add a Custom Title in IE using Spybot or Spyware Blaster When You Need to Hail a Taxi in NYC Live Map of Marine Traffic NoSquint Remembers Site Specific Zoom Levels (Firefox)

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  • Large File Upload in SharePoint 2010

    Ad:: SharePoint 2007 Training in .NET 3.5 technologies (more information). This feed URL has been discontinued. Please update your reader's URL to : http://feeds.feedburner.com/winsmarts Read full article .... ...Did you know that DotNetSlackers also publishes .net articles written by top known .net Authors? We already have over 80 articles in several categories including Silverlight. Take a look: here.

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  • AWS Large Instance: /mnt does not show all the space that should be available

    - by Emile Baizel
    I just created a Large (m1.large) 64 bit instance which comes with 850 GB instance storage. Look at the Large Instance http://aws.amazon.com/ec2/instance-types/ A 'df -h' from the root folder gives me the output below. The /mnt is where I'm thinking the instance storage is but here it is only showing me 414G. I have set up two servers and both are showing the same numbers. root@ip-11-11-11-11:/# df -h Filesystem Size Used Avail Use% Mounted on /dev/sda1 7.9G 1.1G 6.5G 14% / none 3.7G 112K 3.7G 1% /dev none 3.7G 0 3.7G 0% /dev/shm none 3.7G 48K 3.7G 1% /var/run none 3.7G 0 3.7G 0% /var/lock /dev/sdb 414G 199M 393G 1% /mnt

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  • How to pause/resume transfer of large files?

    - by Olivier Lalonde
    I recently had to copy about 20 GB of data split between about 20 files from my laptop to an external hard drive. Since this operation takes quite a while (at ~560kb/s), I was wondering if there was any way to pause the transfer and resume it later (in case, I need to interrupt the transfer). As a side question, is there any performance difference between copying from the terminal vs copying from Nautilus?

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