Sorting

Event-driven lists for dynamically filtered and sorted tables

InLong is a one-stop, full-scenario integration framework for massive data donated by Tencent to the Apache community. It provides automatic, safe, reliable, and high-performance data transmission capabilities to facilitate the construction of streaming-based data analysis, modeling, and applications.

InLong is a one-stop, full-scenario integration framework for massive data donated by Tencent to the Apache community. It provides automatic, safe, reliable, and high-performance data transmission capabilities to facilitate the construction of streaming-based data analysis, modeling, and applications.

Several kinds of two column key/value data structures, in memory and on disk which sort keys can can be used to implement xdbm partitions. JDBM is one example. These partition use the same database structure or scheme for maintaining LDAP entries and facilitating search operations on them. This module contains common tools that could be used to manage aspects common to all xdbm implementations.

fastutil extends the Java Collections Framework by providing type-specific maps, sets, lists, and queues with a small memory footprint and fast access and insertion; it provides also big (64-bit) arrays, sets and lists, sorting algorithms, fast, practical I/O classes for binary and text files, and facilities for memory mapping large files. Note that if you have both this jar and fastutil-core.jar in your dependencies, fastutil-core.jar should be excluded.

InLong is a one-stop integration framework for massive data donated by Tencent to the Apache community. It provides automatic, safe, reliable, and high-performance data transmission capabilities to facilitate the construction of streaming-based data analysis, modeling, and applications.

Apache Accumulo is a sorted, distributed key/value store based on Google's BigTable design. It is built on top of Apache Hadoop, Zookeeper, and Thrift. It features a few novel improvements on the BigTable design in the form of cell-level access labels and a server-side programming mechanism that can modify key/value pairs at various points in the data management process.

Apache Accumulo is a sorted, distributed key/value store based on Google's BigTable design. It is built on top of Apache Hadoop, Zookeeper, and Thrift. It features a few novel improvements on the BigTable design in the form of cell-level access labels and a server-side programming mechanism that can modify key/value pairs at various points in the data management process.

fastutil extends the Java Collections Framework by providing type-specific maps, sets, lists, and queues with a small memory footprint and fast operations; it provides also big (64-bit) arrays, sets, and lists, sorting algorithms, fast, practical I/O classes for binary and text files, and facilities for memory mapping large files. This jar (fastutil-core.jar) contains data structures based on integers, longs, doubles, and objects, only; fastutil.jar contains all classes. If you have both jars in your dependencies, this jar should be excluded.

InLong is a one-stop, full-scenario integration framework for massive data donated by Tencent to the Apache community. It provides automatic, safe, reliable, and high-performance data transmission capabilities to facilitate the construction of streaming-based data analysis, modeling, and applications.

Sometimes, you want to sort large file without first loading them into memory. The solution is to use External Sorting. You divide the files into small blocks, sort each block in RAM, and then merge the result. Many database engines and the Unix sort command support external sorting. But what if you want to avoid a database? Or what if you want to sort in a non-lexicographic order? Or maybe you just want a simple external sorting example? When we could not find such a simple program, we wrote one.

A Mybatis plugin, implementation of database paging and sorting

Apache Accumulo is a sorted, distributed key/value store based on Google's BigTable design. It is built on top of Apache Hadoop, Zookeeper, and Thrift. It features a few novel improvements on the BigTable design in the form of cell-level access labels and a server-side programming mechanism that can modify key/value pairs at various points in the data management process.

Apache Accumulo is a sorted, distributed key/value store based on Google's BigTable design. It is built on top of Apache Hadoop, Zookeeper, and Thrift. It features a few novel improvements on the BigTable design in the form of cell-level access labels and a server-side programming mechanism that can modify key/value pairs at various points in the data management process.

fastutil extends the Java Collections Framework by providing type-specific maps, sets, lists and priority queues with a small memory footprint and fast access and insertion; provides also big (64-bit) arrays, sets and lists, sorting algorithms, and fast, practical I/O classes for binary and text files. This module adds data structures based on references, bytes, and characters.

InLong is a one-stop, full-scenario integration framework for massive data donated by Tencent to the Apache community. It provides automatic, safe, reliable, and high-performance data transmission capabilities to facilitate the construction of streaming-based data analysis, modeling, and applications.

InLong is a one-stop, full-scenario integration framework for massive data donated by Tencent to the Apache community. It provides automatic, safe, reliable, and high-performance data transmission capabilities to facilitate the construction of streaming-based data analysis, modeling, and applications.

InLong is a one-stop, full-scenario integration framework for massive data donated by Tencent to the Apache community. It provides automatic, safe, reliable, and high-performance data transmission capabilities to facilitate the construction of streaming-based data analysis, modeling, and applications.

InLong is a one-stop, full-scenario integration framework for massive data donated by Tencent to the Apache community. It provides automatic, safe, reliable, and high-performance data transmission capabilities to facilitate the construction of streaming-based data analysis, modeling, and applications.

Maven Runtime allows introspection of Maven project metadata at runtime. Basic artifact information or full Maven project metadata can be obtained for all projects within a given class loader, optionally sorted into dependency order, and also for a given class within a project.

Event-driven lists for dynamically filtered and sorted tables

InLong is a one-stop, full-scenario integration framework for massive data donated by Tencent to the Apache community. It provides automatic, safe, reliable, and high-performance data transmission capabilities to facilitate the construction of streaming-based data analysis, modeling, and applications.

InLong is a one-stop, full-scenario integration framework for massive data donated by Tencent to the Apache community. It provides automatic, safe, reliable, and high-performance data transmission capabilities to facilitate the construction of streaming-based data analysis, modeling, and applications.

InLong is a one-stop, full-scenario integration framework for massive data donated by Tencent to the Apache community. It provides automatic, safe, reliable, and high-performance data transmission capabilities to facilitate the construction of streaming-based data analysis, modeling, and applications.

InLong is a one-stop, full-scenario integration framework for massive data donated by Tencent to the Apache community. It provides automatic, safe, reliable, and high-performance data transmission capabilities to facilitate the construction of streaming-based data analysis, modeling, and applications.

InLong is a one-stop, full-scenario integration framework for massive data donated by Tencent to the Apache community. It provides automatic, safe, reliable, and high-performance data transmission capabilities to facilitate the construction of streaming-based data analysis, modeling, and applications.

InLong is a one-stop, full-scenario integration framework for massive data donated by Tencent to the Apache community. It provides automatic, safe, reliable, and high-performance data transmission capabilities to facilitate the construction of streaming-based data analysis, modeling, and applications.

InLong is a one-stop, full-scenario integration framework for massive data donated by Tencent to the Apache community. It provides automatic, safe, reliable, and high-performance data transmission capabilities to facilitate the construction of streaming-based data analysis, modeling, and applications.

InLong is a one-stop, full-scenario integration framework for massive data donated by Tencent to the Apache community. It provides automatic, safe, reliable, and high-performance data transmission capabilities to facilitate the construction of streaming-based data analysis, modeling, and applications.

A Java Servlet Filter for applying generic security policy on incoming HTTP request parameters, implementing an application firewall of sorts.

InLong is a one-stop, full-scenario integration framework for massive data donated by Tencent to the Apache community. It provides automatic, safe, reliable, and high-performance data transmission capabilities to facilitate the construction of streaming-based data analysis, modeling, and applications.

InLong is a one-stop, full-scenario integration framework for massive data donated by Tencent to the Apache community. It provides automatic, safe, reliable, and high-performance data transmission capabilities to facilitate the construction of streaming-based data analysis, modeling, and applications.

InLong is a one-stop, full-scenario integration framework for massive data donated by Tencent to the Apache community. It provides automatic, safe, reliable, and high-performance data transmission capabilities to facilitate the construction of streaming-based data analysis, modeling, and applications.

InLong is a one-stop, full-scenario integration framework for massive data donated by Tencent to the Apache community. It provides automatic, safe, reliable, and high-performance data transmission capabilities to facilitate the construction of streaming-based data analysis, modeling, and applications.

InLong is a one-stop, full-scenario integration framework for massive data donated by Tencent to the Apache community. It provides automatic, safe, reliable, and high-performance data transmission capabilities to facilitate the construction of streaming-based data analysis, modeling, and applications.

InLong is a one-stop, full-scenario integration framework for massive data donated by Tencent to the Apache community. It provides automatic, safe, reliable, and high-performance data transmission capabilities to facilitate the construction of streaming-based data analysis, modeling, and applications.

InLong is a one-stop, full-scenario integration framework for massive data donated by Tencent to the Apache community. It provides automatic, safe, reliable, and high-performance data transmission capabilities to facilitate the construction of streaming-based data analysis, modeling, and applications.

InLong is a one-stop, full-scenario integration framework for massive data donated by Tencent to the Apache community. It provides automatic, safe, reliable, and high-performance data transmission capabilities to facilitate the construction of streaming-based data analysis, modeling, and applications.

InLong is a one-stop, full-scenario integration framework for massive data donated by Tencent to the Apache community. It provides automatic, safe, reliable, and high-performance data transmission capabilities to facilitate the construction of streaming-based data analysis, modeling, and applications.

InLong is a one-stop, full-scenario integration framework for massive data donated by Tencent to the Apache community. It provides automatic, safe, reliable, and high-performance data transmission capabilities to facilitate the construction of streaming-based data analysis, modeling, and applications.

InLong is a one-stop, full-scenario integration framework for massive data donated by Tencent to the Apache community. It provides automatic, safe, reliable, and high-performance data transmission capabilities to facilitate the construction of streaming-based data analysis, modeling, and applications.

InLong is a one-stop, full-scenario integration framework for massive data donated by Tencent to the Apache community. It provides automatic, safe, reliable, and high-performance data transmission capabilities to facilitate the construction of streaming-based data analysis, modeling, and applications.

InLong is a one-stop, full-scenario integration framework for massive data donated by Tencent to the Apache community. It provides automatic, safe, reliable, and high-performance data transmission capabilities to facilitate the construction of streaming-based data analysis, modeling, and applications.

InLong is a one-stop, full-scenario integration framework for massive data donated by Tencent to the Apache community. It provides automatic, safe, reliable, and high-performance data transmission capabilities to facilitate the construction of streaming-based data analysis, modeling, and applications.

InLong is a one-stop, full-scenario integration framework for massive data donated by Tencent to the Apache community. It provides automatic, safe, reliable, and high-performance data transmission capabilities to facilitate the construction of streaming-based data analysis, modeling, and applications.

InLong is a one-stop, full-scenario integration framework for massive data donated by Tencent to the Apache community. It provides automatic, safe, reliable, and high-performance data transmission capabilities to facilitate the construction of streaming-based data analysis, modeling, and applications.

InLong is a one-stop, full-scenario integration framework for massive data donated by Tencent to the Apache community. It provides automatic, safe, reliable, and high-performance data transmission capabilities to facilitate the construction of streaming-based data analysis, modeling, and applications.

All sorts of Input events, key presses etc

DLC is a data lake product. It's storage is based on iceberg. Here is the product: https://cloud.tencent.com/product/dlc

Event-driven lists for dynamically filtered and sorted tables