Chilkat Tech Notes. Starting now, Chilkat is going to log the changes, fixes, and new features for the next release as the work is completed. Pre release  builds can be requested for most programming languages and operating systems. Many builds are quick and easy to provide. NET, Active. X, C, Java, Perl, Python, PHP, and others. Some however, are time consuming and a request for one of the following builds may take as many as several days Win. RT, Node. js, Mono, Xojo, Pure. Basic, and. NET Core. Send email to supportchilkatsoft. Chilkat is currently working on implementing Xero API examples, and many of the new features are related to making life easier to implement these examples. The new features are general and apply to any programming task. Updates. Modified the Active. X DLLs to automatically do per user Active. X registration if administrative privileges are not available. This will allow non administrators to register the Active. X.   However, when per user registration happens, other user accounts on the same Windows computer will not find the Active. X registered.   Therefore, to properly register the Active. X for ASP, a Windows Service, or for a SQL Server database, the Active. X would still need to be registered with admin privileges. NET To. String Method  Chilkat avoids naming any of its methods To. String, because all. NET objects by default have a To. String method.   Chilkat v. To. String for all classes in the Chilkat. NET API although it wont be publicly documented. This does not yet apply to the Mono,. NET Core, or Win. RT Chilkat API.    The To. String method maps to the already existing Chilkat method that makes most sense. For example, Chilkat. Xml. To. String returns the same as Chilkat. Xml. Get. Xml.   For objects where it makes no sense to have a To. String method, then To. String returns an empty string. Added a number of methods and properties to the Chilkat. Xml API.   These new methods are related to the path and I,J,K techniques that were found to be so handy w the Chilkat JSON API. These new methods will be heavily used in the Xero examples, because Xero requests and responses are in XML, and these new features greatly simplify the coding. The new methodsproperties are. Emit. Compact propertyI, J, K propertiesUpdate. At. Update. Attr. At. Num. Children. At. The following methods are updated to accept either a tag or tag path New. Child. 2New. Child. Int. 2Get. Child. Content. Get. Child. Int. Value. Get. Child. Bool. Valuemany other methods are updated. These methods will be noted in the reference documentation. The 1st argument will be named tag. Fb0ZTm8/0.jpg' alt='Amazon S3 File Upload Api C#' title='Amazon S3 File Upload Api C#' />Path, and a note in the documentation will indicate that the 1st arg can be either a tag or tag. Path, and that support for tag paths began in v. Amazon S3 File Upload Api C#' title='Amazon S3 File Upload Api C#' />The Xml. Chilkat. Path method was updated to allow for i, j, and k to be used in path strings. When used, each is substituted with the current value of the I, J, and K properties. Added the Http. Quick. Get. Sb method. Added the Imap. Move. Messages method to move email messages from one mailbox to another on the same IMAP server in the same session. Requires the IMAP server to support the MOVE extension. Most IMAP servers support the MOVE extension. Fixed The Task. Cancel method was not working in the Active. X. Fixed The Global. Status highly stable OS Windows Server embeddable by CFVB. NET except. NET Core REST APIs Querystring API web server IIS codecs Windows APIs file sizes decent. Top VIdeos. Warning Invalid argument supplied for foreach in srvusersserverpilotappsjujaitalypublicindex. Finalize. Thread. Pool method will now cancel any asynchronous methods that are still running and causes all async background threads to exit. There are certain problems that can happen if the main thread of a program exits while background threads remain running. If the program is a VBScript, then Ive found that AVG Anti Virus will alert the user of a General Behavioral Threat. Making sure that all async method calls have finished, and that all thread pool threads have exited, should prevent this problem. If running a VB6 program from the IDE, the IDE will hang on program exit until all threads have exited. It is likely that existing the main UI thread while background threads remain will cause problems in many other programming environments. Realm supports encrypting the database file on disk with AES256SHA2 by supplying a 64byte encryption key when creating a Realm. RealmConfiguration. How to use the free OCR API. Code snippets for calling the REST API. The OCR API takes an image or multipage PDF document as input. Modified The Global. Finalize. Thread. Pool method returns the software to the pristine initial state where no background threads are running, and the thread pool thread is not yet started. Previously, after Finalize. Thread. Pool was called, it was not possible to continue using asynchronous Chilkat methods without restarting the application. Now the Finalize. Thread. Pool method returns the application to the initial pristine state. A subsequent asynchronous method call will cause the thread pool thread to automatically restart, and everything proceeds as usual. This is needed for cases where the Active. FastGlacier.jpg' alt='Amazon S3 File Upload Api C# Example' title='Amazon S3 File Upload Api C# Example' />X is used in debugging sessions within an IDE, because the Active. X DLL is not loadedunloaded between each debug run. OAuth. Added the Set. Rsa. Key method and now supports RSA SHA1 and RSA SHA2. Rest Added the Clear. All. Parts method. This is needed if a new REST request is to be sent just after sending a multipart request. File. Access Added methods File. Read. Bd, File. Write. Bd, Get. File. Name, Get. Directory. Name, Get. Extension, Get. File. Name. Without. Extension. Json. Array Added the Load and Load. Sb methods.   Added the Emit. Compact and Emit. Crlf properties.   A Json. Array object can now be created by an application and loaded directly with a JSON array string, such as 1, 2, 3, 4. Apache Hadoop Wikipedia. Apache Hadoop is an open sourcesoftware framework used for distributed storage and processing of dataset of big data using the Map. Reduceprogramming model. It consists of computer clusters built from commodity hardware. All the modules in Hadoop are designed with a fundamental assumption that hardware failures are common occurrences and should be automatically handled by the framework. The core of Apache Hadoop consists of a storage part, known as Hadoop Distributed File System HDFS, and a processing part which is a Map. Reduce programming model. Hadoop splits files into large blocks and distributes them across nodes in a cluster. It then transfers packaged code into nodes to process the data in parallel. This approach takes advantage of data locality,3 where nodes manipulate the data they have access to. This allows the dataset to be processed faster and more efficiently than it would be in a more conventional supercomputer architecture that relies on a parallel file system where computation and data are distributed via high speed networking. The base Apache Hadoop framework is composed of the following modules Hadoop Common contains libraries and utilities needed by other Hadoop modules Hadoop Distributed File System HDFS a distributed file system that stores data on commodity machines, providing very high aggregate bandwidth across the cluster Hadoop YARN a platform responsible for managing computing resources in clusters and using them for scheduling users applications 67 and. Hadoop Map. Reduce an implementation of the Map. Reduce programming model for large scale data processing. The term Hadoop has come to refer not just to the aforementioned base modules and sub modules, but also to the ecosystem,8 or collection of additional software packages that can be installed on top of or alongside Hadoop, such as Apache Pig, Apache Hive, Apache HBase, Apache Phoenix, Apache Spark, Apache Zoo. Keeper, Cloudera Impala, Apache Flume, Apache Sqoop, Apache Oozie, and Apache Storm. Apache Hadoops Map. Reduce and HDFS components were inspired by Google papers on their Map. Reduce and Google File System. The Hadoop framework itself is mostly written in the Java programming language, with some native code in C and command line utilities written as shell scripts. Though Map. Reduce Java code is common, any programming language can be used with Hadoop Streaming to implement the map and reduce parts of the users program. Other projects in the Hadoop ecosystem expose richer user interfaces. HistoryeditAccording to its co founders, Doug Cutting and Mike Cafarella, the genesis of Hadoop was the Google File System paper that was published in October 2. This paper spawned another one from Google  Map. Reduce Simplified Data Processing on Large Clusters. Development started on the Apache Nutch project, but was moved to the new Hadoop subproject in January 2. Doug Cutting, who was working at Yahoo The initial code that was factored out of Nutch consisted of about 5,0. HDFS and about 6,0. Map. Reduce. The first committer to add to the Hadoop project was Owen OMalley in March 2. Hadoop 0. 1. 0 was released in April 2. It continues to evolve through the many contributions that are being made to the project. TimelineeditYear. Month. Event. Ref. October. Google File System paper released2. December. Map. Reduce Simplified Data Processing on Large Clusters2. January. Hadoop subproject created with mailing lists, jira, and wiki2. January. Hadoop is born from Nutch 1. February. NDFS Map. Reduce moved out of Apache Nutch to create Hadoop2. February. Owen OMalleys first patch goes into Hadoop2. February. Hadoop is named after Cuttings sons yellow plush toy2. April. Hadoop 0. 1. April. Hadoop sorts 1. TB on 1. 88 nodes in 4. May. Yahoo deploys 3. Hadoop cluster2. October. Yahoo Hadoop cluster reaches 6. April. Yahoo runs two clusters of 1,0. June. Only three companies on Powered by Hadoop Page2. October. First release of Hadoop that includes HBase2. October. Yahoo Labs creates Pig, and donates it to the ASF3. January. YARN JIRA opened. Yarn Jira Mapreduce 2. January. 20 companies on Powered by Hadoop Page2. February. Yahoo moves its web index onto Hadoop3. February. Yahoo production search index generated by a 1. Hadoop cluster2. March. First Hadoop Summit3. April. Hadoop world record fastest system to sort a terabyte of data. Running on a 9. 10 node cluster, Hadoop sorted one terabyte in 2. May. Hadoop wins Tera. Byte Sort World Record sortbenchmark. July. Hadoop wins Terabyte Sort Benchmark3. October. Loading 1. TBday in Yahoo clusters2. October. Cloudera, Hadoop distributor is founded3. November. Google Map. Reduce implementation sorted one terabyte in 6. March. Yahoo runs 1. April. Hadoop sorts a petabyte3. May. Yahoo used Hadoop to sort one terabyte in 6. June. Second Hadoop Summit3. July. Hadoop Core is renamed Hadoop Common3. July. Map. R, Hadoop distributor founded3. July. HDFS now a separate subproject3. July. Map. Reduce now a separate subproject3. January. Kerberos support added to Hadoop4. May. Apache HBase Graduates4. June. Third Hadoop Summit4. June. Yahoo 4,0. 00 nodes7. June. Facebook 2,3. September. Apache Hive Graduates4. September. Apache Pig Graduates4. January. Apache Zookeeper Graduates4. January. Facebook, Linked. In, e. Bay and IBM collectively contribute 2. March. Apache Hadoop takes top prize at Media Guardian Innovation Awards4. June. Rob Beardon and Eric Badleschieler spin out Hortonworks out of Yahoo. Crack Toca Race Driver 3 here. June. Yahoo has 4. K Hadoop nodes and hundreds of petabytes of storage4. June. Third Annual Hadoop Summit 1,7. October. Debate over which company had contributed more to Hadoop. January. Hadoop community moves to separate from Map. Reduce and replace with YARN2. June. San Jose Hadoop Summit 2,1. November. Apache Hadoop 1. Available3. 82. March. Hadoop Summit  Amsterdam 5. March. YARN deployed in production at Yahoo5. June. San Jose Hadoop Summit 2,7. October. Apache Hadoop 2. Available3. 82. February. Apache Hadoop 2. Available3. February. Apache Spark top Level Apache Project5. April. Hadoop summit Amsterdam 7. June. Apache Hadoop 2. Available3. 82. June. San Jose Hadoop Summit 3,2. August. Apache Hadoop 2. Available3. 82. November. Apache Hadoop 2. Available3. April. Hadoop Summit Europe5. June. Apache Hadoop 2. Available3. 82. March. Apache Hadoop 2. Available3. ArchitectureeditHadoop consists of the Hadoop Common package, which provides file system and operating system level abstractions, a Map. Reduce engine either Map. ReduceMR1 or YARNMR25. Hadoop Distributed File System HDFS. The Hadoop Common package contains the Java ARchive JAR files and scripts needed to start Hadoop. For effective scheduling of work, every Hadoop compatible file system should provide location awareness the name of the rack or, more precisely, of the network switch where a worker node is. Hadoop applications can use this information to execute code on the node where the data is, and, failing that, on the same rackswitch to reduce backbone traffic. HDFS uses this method when replicating data for data redundancy across multiple racks. This approach reduces the impact of a rack power outage or switch failure if any of these hardware failures occurs, the data will remain available. A multi node Hadoop cluster. A small Hadoop cluster includes a single master and multiple worker nodes.