Apache directory studio download

1. ca directory access via jexplorer Posted Nov 16, 2018 07:04 PM Experts not able to connect to the ca directory stories via tools like apache directory studio / jexplorer. 2. Re: ca directory access via jexplorer Posted Nov 19, 2018 03:38 PM Not sure what "stories" is in reference to but if you can provide screenshots (of JXplorer) along with errors you get that can help for anyone to comment further here. 3. Re: ca directory access via jexplorer Posted Nov 19, 2018 04:35 PM Thanks for response.My bad, i meant directory store (not stories). So below is one of the store i am trying to connect to via apache directory studio tool. Not sure what userid/password i have to enter in the second screenshot. what is the default userID for ca directory ? 4. Re: ca directory access via jexplorer Posted Nov 20, 2018 07:25 AM There is no default user ID in CA (Broadcom) Directory DSA. When you create one, it is blank. One has to connect to it as 'anonymous' for the first time to create a user and password (or one can import it from an LDIF file, if such a file exist). Once that is done, you can specify the bind user DN and it's password in any LDAP browser to connect to the DSA. 5. Re: ca directory access via jexplorer Posted Nov 21, 2018 04:56 PM Thanks for the inputs Hitesh !Q) how can i make this account a SUPER / ROOT user ? If there is any config updates need to be done on this instance, i would like to use this userID.Q) how come I do not see the same entry in the DIT when i am trying to access it thru directory managent gui interface.Any inputs appreciated ! 6.

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Arrowkdb IntroductionThis interface allows kdb+ to users read and write Apache Arrow data stored in:Apache Parquet file formatArrow IPC record batch file formatArrow IPC record batch stream formatThis is part of the Fusion for kdb+ interface collection.New to kdb+ ?Kdb+ is the world's fastest time-series database, optimized for ingesting, analyzing and storing massive amounts of structured data. To get started with kdb+, please visit for downloads and developer information. For general information, visit to Apache Arrow?Apache Arrow is a software development platform for building high performance applications that process and transport large data sets. It is designed to both improve the performance of analytical algorithms and the efficiency of moving data from one system (or programming language to another).A critical component of Apache Arrow is its in-memory columnar format, a standardized, language-agnostic specification for representing structured, table-like datasets in-memory. This data format has a rich data type system (included nested data types) designed to support the needs of analytic database systems, data frame libraries, and more.What is the difference between Apache Arrow and Apache Parquet?Parquet is a storage format designed for maximum space efficiency, using advanced compression and encoding techniques. It is ideal when wanting to minimize disk usage while storing gigabytes of data, or perhaps more. This efficiency comes at the cost of relatively expensive reading into memory, as Parquet data cannot be directly operated on but must be decoded in large chunks.Conversely, Arrow is an in-memory format meant for direct and efficient use for computational purposes. Arrow data is not compressed but laid out in natural format for the CPU, so that data can be accessed at arbitrary places at full speed. Therefore, Arrow and Parquet complement each other with Arrow being used as the in-memory data structure for deserializing Parquet data.InstallationRequirementskdb+ ≥ 3.5 64-bit (Linux/MacOS/Windows)Apache Arrow ≥ 9.0.0 (or ≥ 6.0.0 if building arrowkdb from source)C++14 or laterCMake ≥ 3.1.3⚠️ If using the packaged version of arrowkdb you should install version 9.0.0 of Apache ArrowThird-party library installationLinuxFollow the instructions here to install libarrow-dev and libparquet-dev from Apache's APT or Yum repositories.Note: If using the packaged version of arrowkdb you should install version 9.0.0 of both:sudo apt install -y -V libarrow-dev=9.0.0-1sudo apt install -y -V libparquet-dev=9.0.0-1macOSFollow the instructions here to install apache-arrow using Homebrew.WindowsOn Windows it is necessary to build Arrow from source. Full details are provided here but the basic steps are as follows.From a Visual Studio command prompt, clone the Arrow source from github: git clone cd arrow">C:\Git> git clone cd arrowSwitch to the 9.0.0 tag: git checkout refs/tags/apache-arrow-9.0.0 --C:\Git> cd cpp">C:\Git\arrow> git checkout refs/tags/apache-arrow-9.0.0 --C:\Git> cd cppCreate an install directory and set an environment variable to this directory (substituting the correct absolute path as appropriate). This environment variable is used again later when building arrowkdb: mkdir installC:\Git\arrow\cpp> set ARROW_INSTALL=C:\Git\arrow\cpp\install">C:\Git\arrow\cpp> mkdir installC:\Git\arrow\cpp> set ARROW_INSTALL=C:\Git\arrow\cpp\installCreate the CMake build directory and generate the build files (this will default to using the Visual Studio CMake generator when run from a VS command prompt): mkdir buildC:\Git\arrow\cpp> cd buildC:\Git\arrow\cpp\build> cmake ..