adh-users noarch 5917aac66a92f255a7476d61fc576f0cbe0015d3e8231ffdec95ac685c574ffc Meta package for centralized creation of users and groups Meta package for centralized creation of users and groups adh-java-all noarch 88fd590da28602d7a922df9f1bf438a79d54e94545bfb3ea2ed1c9342c91451e Meta package for install all java versions Meta package for install all java versions adh-jmx-exporter x86_64 17b2cf7d9ab455752973279bf71e88191fd3e9d317017345857fbb22c3a0b36e JMX to Prometheus exporter: a collector that can configurable scrape and expose mBeans of a JMX target. JMX to Prometheus exporter: a collector that can configurable scrape and expose mBeans of a JMX target. flink-kafka-connector x86_64 d637d6bf53cb4068e909e40903073558d75de52ad4b80753e65d0ffd56f9579c Apache Flink Kafka Connector Flink provides an Apache Kafka connector for reading data from and writing data to Kafka topics with exactly-once guarantees. arenadata-jdbc-tools noarch 33aa59ffccb003e4f0bdf67d22c753617dcfa8725f4cf4d91c8fdd6f33610f24 arenadata jdbc tools The arenadata-jdbc-tools is a utility designed to simplify database connectivity checks in ADH(ADPS)-bundle through command line interface. adh-haproxy x86_64 11b14660dd02e4dd9587a5e2e56e5b448c93a69d51a5ad0fcb3d7a419ab86f14 HAProxy reverse proxy for high availability environments HAProxy is a TCP/HTTP reverse proxy which is particularly suited for high availability environments. Indeed, it can: - route HTTP requests depending on statically assigned cookies - spread load among several servers while assuring server persistence through the use of HTTP cookies - switch to backup servers in the event a main one fails - accept connections to special ports dedicated to service monitoring - stop accepting connections without breaking existing ones - add, modify, and delete HTTP headers in both directions - block requests matching particular patterns - report detailed status to authenticated users from a URI intercepted from the application http://www.haproxy.org/ adh-haproxy-debuginfo x86_64 2f4634a4f420ebad1c59078195a164c1063cc28e7f8a00a0ac680fe3f6476662 Debug information for package adh-haproxy This package provides debug information for package adh-haproxy. Debug information is useful when developing applications that use this package or when debugging this package. http://www.haproxy.org/ haproxy-hue x86_64 d61274dbaf4285152a2c41c2a9aba8fbeb5426e282e1a35b402bcc7e7e354cf7 HAProxy service for Hue HAProxy service for Hue http://www.haproxy.org/ haproxy-ozone-s3g x86_64 0ca8b9a61468630fa016ea1c10e3b554d575cbd6b4f658afd0e4ad8ca2355ae6 HAProxy service for Ozone S3 Gateway HAProxy service for Ozone S3 Gateway http://www.haproxy.org/ haproxy-trino x86_64 947468a80619b32b8718908a38d203764e1b42e9518a11cf49b106c698c46a30 HAProxy service for Trino HAProxy service for Trino http://www.haproxy.org/ ad-runtime-utils x86_64 67b97febff30a48184b1117af55561ce6aef0e82a142ae9ba5f7d7ab8237e814 Arenadata Runtime Utilities ad-runtime-utils is a comprehensive utility tool designed to provide a unified interface for runtime environment management in Arenadata platform deployments. libisal x86_64 f7ddcc029e5dd554140294a0970642170defa687eb3520e5baf021b434430722 Intel(R) Intelligent Storage Acceleration Library Intel(R) Intelligent Storage Acceleration Library - shared library https://01.org/intel%C2%AE-storage-acceleration-library-open-source-version libisal-debuginfo x86_64 f73eda45d2952369f7b83b23b60a02b78221f8993c5bba87a4b0ff0fd70bbdf5 Debug information for package libisal This package provides debug information for package libisal. Debug information is useful when developing applications that use this package or when debugging this package. https://01.org/intel%C2%AE-storage-acceleration-library-open-source-version libisal-dev x86_64 6f13f7e46ee8eb0524828c718e2b63b018b74354c063a760481b3a506b2c1db9 Intel(R) Intelligent Storage Acceleration Library - devel files Intel(R) Intelligent Storage Acceleration Library - devel files https://01.org/intel%C2%AE-storage-acceleration-library-open-source-version sedona x86_64 45858f9788f147e650a91b4f1717de2bcebe1fffbf77eda9c548312ef4333ca9 Apache Sedona - cluster computing system for processing large-scale spatial data Apache Sedona (formerly GeoSpark) - cluster computing system for processing large-scale spatial data. spark3-iceberg-extensions x86_64 edae0152fb1c36736ad13ef9228b37958f4a6fc4fdcc0ee7b101c9b3683f4394 Iceberg is a high-performance format for huge analytic tables. Spark's Datasource V2 API for Iceberg with submodules for spark3 versions flink2-iceberg-extensions x86_64 c9da372618eadec238af54e8fb4636b6bb00fbb72d5df005c296e9c85b8bb432 Iceberg is a high-performance format for huge analytic tables. Flink2's Datasource V2 API for Iceberg with submodules for flink versions extjs noarch 34e2175d4cf41abcabce903891af42fe33a74d955b92e9ae9ea8c5693b38eedf RPM of extjs zip file for oozie This rpm package provides the extjs-2.2.zip for oozie. http://extjs.incubator.apache.org/ flink2-hive-connector x86_64 2b68a777a59b6ebfef97477ac098f69d352ab47e3d21f953f045a5197b2f77d0 Apache Flink2 Hive Connector Apache Flink2 Hive connector. flink-iceberg-extensions x86_64 fb3d243e9d1a32a2a2e95218ebc8246799ab0eaf0976770e97d5577d730e54f8 Iceberg is a high-performance format for huge analytic tables. Flink's Datasource V2 API for Iceberg with submodules for flink versions spark4-iceberg-extensions x86_64 0bce34c071128705f825b90dd0b74429690dd7599d36f7236cad3c2d7930aec2 Iceberg is a high-performance format for huge analytic tables. Spark's Datasource V2 API for Iceberg with submodules for spark4 versions kyuubi noarch a6bef78cc10a578113c5f456e3e5fc3bd2f2a53a5814d09ce73ecd593488c134 Apache Kyuubi Apache Kyuubi is a distributed and multi-tenant gateway to provide serverless SQL on Data Warehouses and Lakehouses. kyuubi-hive-jdbc noarch 8210317a3e6e120af94ee016b89a675306a2fac6bb4262e8a554910adabe1941 kyuubi hive jdbc module kyuubi hive jdbc module kyuubi-server noarch 179db275ba4b0955c3f9e45a181f66188831632df722fe6060ae2d59eaa72100 kyuubi-server service kyuubi-server service kyuubi-spark-authz-plugin noarch 6829f12eb4e77468bec5c9f594a672fda36541cb13feaae73b45371c824edaf5 kyuubi spark3 authz plugin The kyuubi-spark-authz-shaded plugin is used for authorization of access to resources in the Apache Spark3 environment. It provides the ability to control access to task execution and reading/writing data in Spark using various authentication and authorization mechanisms. kyuubi-spark4-authz-plugin noarch e12ec058d60d9f6ebccb8ccaa6bef709cf90e9c110e0015a8c43fff591d8c082 kyuubi spark4 authz plugin The kyuubi-spark-authz-shaded plugin is used for authorization of access to resources in the Apache Spark4 environment. It provides the ability to control access to task execution and reading/writing data in Spark using various authentication and authorization mechanisms. flink-paimon-extensions x86_64 992785cbfd3af447a8ed8cb8d483d2aa69d25525191a981ec5264791b78de401 Apache Paimon lake format extensions for Flink 1.20.x Apache Paimon lake format extensions for Flink 1.20.x flink2-paimon-extensions x86_64 7793fc8695e62a25a0cba9e1772a95cf1dfae97ae6fcbfc909ed8b17142d0f7b Apache Paimon lake format extensions for Flink 2.1.x Apache Paimon lake format extensions for Flink 2.1.x solr-tools noarch f00fe529aa9f38667e8e2c1ec4c61ee2da98b47ba632b9b661e8ef16ab7660a5 Simple command line tool to generate a password hash for security.json Simple command line tool to generate a password hash for security.json http://lucene.apache.org/solr libpmdk x86_64 28f4291922407461050ce22d66a4bab4043beed460e7943224dba83fb4cdd2a8 Intel(R) Intelligent Storage Acceleration Library The Persistent Memory Development Kit (PMDK) is a collection of libraries and tools for System Administrators and Application Developers to simplify managing and accessing persistent memory devices. For more information, see https://pmem.io. libpmdk-debuginfo x86_64 5d2fb2f6252d46a646ae1662cbccbeb308c35861cfca6fc6c9dadb6bae94e354 Debug information for package libpmdk This package provides debug information for package libpmdk. Debug information is useful when developing applications that use this package or when debugging this package. libpmdk-devel x86_64 2c3765608fa2ebfb0d9b79ec3ca1ac99f4f46060bb98d9fbc97239d4e7373621 Intel(R) Intelligent Storage Acceleration Library The Persistent Memory Development Kit (PMDK) is a collection of libraries and tools for System Administrators and Application Developers to simplify managing and accessing persistent memory devices. For more information, see https://pmem.io. zookeeper-arenadata x86_64 d5a41c2cb76bcf3d4181ae523c19f6f190b51eaecd919b8f2a8f2481df07154e A high-performance coordination service for distributed applications. ZooKeeper is a centralized service for maintaining configuration information, naming, providing distributed synchronization, and providing group services. All of these kinds of services are used in some form or another by distributed applications. Each time they are implemented there is a lot of work that goes into fixing the bugs and race conditions that are inevitable. Because of the difficulty of implementing these kinds of services, applications initially usually skimp on them ,which make them brittle in the presence of change and difficult to manage. Even when done correctly, different implementations of these services lead to management complexity when the applications are deployed. http://zookeeper.apache.org/ zookeeper-arenadata-native x86_64 7992739f6fd767fae80d3f628ee464c4e2d7b4bb2abfae4542864af04ab1948c C bindings for ZooKeeper clients Provides native libraries and development headers for C / C++ ZooKeeper clients. Consists of both single-threaded and multi-threaded implementations. http://zookeeper.apache.org/ zookeeper-arenadata-native-debuginfo x86_64 3da966ed9123da298db8a4b2e848bf4e5f74c6df6a4ccae3af459d465c8af738 Debug information for package zookeeper-arenadata-native This package provides debug information for package zookeeper-arenadata-native. Debug information is useful when developing applications that use this package or when debugging this package. http://zookeeper.apache.org/ adh-python310 x86_64 43f0eefdd9297c635934d5a7618caadd6e400565d213279c4da6d3a910ac17a5 Python 3.10 usable from opt Python 3 is a new version of the language that is incompatible with the 2.x line of releases. The language is mostly the same, but many details, especially how built-in objects like dictionaries and strings work, have changed considerably, and a lot of deprecated features have finally been removed. adh-redis x86_64 ca8013eee37ef423e390209cccd65523d8c295b1d5e1b3649ae7c36c808c262e Redis is an advanced key-value store Redis is an advanced key-value store. It is similar to memcached but the dataset is not volatile, and values can be strings, exactly like in memcached, but also lists, sets, and ordered sets. All this data types can be manipulated with atomic operations to push/pop elements, add/remove elements, perform server side union, intersection, difference between sets, and so forth. Redis supports different kind of sorting abilities. In order to be very fast but at the same time persistent the whole dataset is taken in memory, and from time to time saved on disc asynchronously (semi persistent mode) or alternatively every change is written into an append only file (fully persistent mode). Redis is able to rebuild the append only file in background when it gets too big. Redis supports trivial to setup master-slave replication, with very fast non-blocking first synchronization, auto reconnection on net split, and so forth. Redis is written in ANSI C and works in most POSIX systems like Linux, *BSD, Mac OS X, Solaris, and so on. Redis is free software released under the very liberal BSD license. Redis is reported to compile and work under WIN32 if compiled with Cygwin, but there is no official support for Windows currently. http://redis.io/ adh-redis-debuginfo x86_64 9b3e4d2b9af0c837e20d60035fdda0aa5dd98b4cc7e038cb83a5b66e7cdecf6d Debug information for package adh-redis This package provides debug information for package adh-redis. Debug information is useful when developing applications that use this package or when debugging this package. http://redis.io/ jdbc-mysql-connector noarch 94dd377e33b940a8dfc8a7dcd7616d62b10f4f42290e825f33dddcaa03f43d2d Standardized MySQL database driver for Java MySQL provides connectivity for client applications developed in the Java programming language with MySQL Connector/J, a driver that implements the [Java Database Connectivity (JDBC) API] (http://www.oracle.com/technetwork/java/javase/jdbc/). MySQL Connector/J 8.0 is a JDBC Type 4 driver that is compatible with the [JDBC 4.2](http://docs.oracle.com/javase/8/docs/technotes/guides/jdbc/) specification. The Type 4 designation means that the driver is a pure Java implementation of the MySQL protocol and does not rely on the MySQL client libraries. For detailed information please visit the official [MySQL Connector/J documentation] (http://dev.mysql.com/doc/connector-j/en/). http://dev.mysql.com/downloads/connector/j/ amoro x86_64 e089836810958f30d6942fae6a142cf41141f80dbfc6a78e9916b8ca4d7fef57 Amoro is a tool for managing Hadoop clusters. Amoro is a tool for managing Hadoop clusters. amoro-server x86_64 e3b512c22c5ae6e3db684e932ba63c66bea811d7d5884b1f065d9b38ee3947aa Amoro server is the core component of Amoro. Amoro server is the core component of Amoro. bigtop-groovy noarch ddf3b4ceba2516c31fe2862a9a42832e6bd214fa2d232c34106531e40c4eff6d An agile and dynamic language for the Java Virtual Machine Groovy provides a JVM based runtime environment for function programming and scripting. http://groovy.codehaus.org/ jdbc-postgresql noarch 8a41f0de1ae338ef8a6881ad3a6b41612f3d4f1e409066077da463501f70bf06 postgresql jdbc connector postgresql jdbc connector hbase-hbck2 x86_64 0bf6d013e3bf994dbf4acb3cee6e069af6171b80f482a7117ca4b533da00fa86 Apache HBase HBCK2 Tool Apache HBase HBCK2 Tool ArenaData https://github.com/arenadata/hbase-operator-tools bigtop-tomcat noarch 11cb0437337f216ccd0ee49a24e7802a65ffe363dc54b0a3ac09014283b22c72 Apache Tomcat Apache Tomcat is an open source software implementation of the Java Servlet and JavaServer Pages technologies. http://tomcat.apache.org/ solr noarch b39e9f239bf4fe023bd546e0da29b35a79ccf4b3cb391e566d464c3a915ab5e7 Apache Solr is the popular, blazing fast open source enterprise search platform Solr is the popular, blazing fast open source enterprise search platform from the Apache Lucene project. Its major features include powerful full-text search, hit highlighting, faceted search, dynamic clustering, database integration, rich document (e.g., Word, PDF) handling, and geospatial search. Solr is highly scalable, providing distributed search and index replication, and it powers the search and navigation features of many of the world's largest internet sites. Solr is written in Java and runs as a standalone full-text search server within a servlet container such as Tomcat. Solr uses the Lucene Java search library at its core for full-text indexing and search, and has REST-like HTTP/XML and JSON APIs that make it easy to use from virtually any programming language. Solr's powerful external configuration allows it to be tailored to almost any type of application without Java coding, and it has an extensive plugin architecture when more advanced customization is required. http://lucene.apache.org/solr solr-doc noarch a802ed9e97f496d6cdfda5116c25e1f8f3d97610eff6f563832c77c727f8dc0d Documentation for Apache Solr Documentation for Apache Solr http://lucene.apache.org/solr solr-prometheus-exporter noarch 88ea1ba8cf75929f782b0027293ba86450bbb9c8a23c2a0cb6524203e69a1c30 The Solr prometheus exporter This package starts the Solr prometheus exporter on startup http://lucene.apache.org/solr solr-server noarch 6aba4e0e2c153c915340a5b7cff9b6fe45a139a281065ecf007d5bbaf1ffebc8 The Solr server This package starts the Solr server on startup http://lucene.apache.org/solr bigtop-jsvc x86_64 79c7a50c15c78dcc3b1313f241b1d339981ee326190c26b3f12f0f56a0de44ae Application to launch java daemon jsvc executes classfile that implements a Daemon interface. http://commons.apache.org/daemon/ bigtop-jsvc-debuginfo x86_64 8f3e8c23384be7c3fc58a24e7215350ba7399909ac84062ee16804b24a1066c1 Debug information for package bigtop-jsvc This package provides debug information for package bigtop-jsvc. Debug information is useful when developing applications that use this package or when debugging this package. http://commons.apache.org/daemon/ adh-pyspark x86_64 373c6f67456753ebad904f3ad717304be9b2578370b4ce7e979b7bcaac47afdc Python3 venv for spark3 Python3 venv for spark3 adh-airflow x86_64 7e96bbd48d4b263058136327b3da8d5e4736cb18d19b67404c877a939f866888 Airflow Airflow adh-pyflink x86_64 61ad90c7911912e1a4a34a9643829aaf17fc87b2b1ed2b82bc5348d87e8fc6de Python3 venv for spark Python3 venv for flink livy-spark3 noarch 8617773db778aa871852a982f235684028e1820198ff8ee7f9bc912201e9d23c livy-spark3 is a REST service for Apache Spark3 Apache livy-spark3 is a service that enables easy interaction with a Spark 3 cluster over a REST interface. It enables easy submission of Spark jobs or snippets of Spark code, synchronous or asynchronous result retrieval, as well as Spark Context management, all via a simple REST interface or an RPC client library. Apache livy-spark3 also simplifies the interaction between Spark and application servers, thus enabling the use of Spark for interactive web/mobile applications. Additional features include: Have long running Spark Contexts that can be used for multiple Spark jobs, by multiple clients Share cached RDDs or Dataframes across multiple jobs and clients Multiple Spark Contexts can be managed simultaneously, and the Spark Contexts run on the cluster (YARN/Mesos) instead of the livy-spark3 Server, for good fault tolerance and concurrency Jobs can be submitted as precompiled jars, snippets of code or via java/scala client API Ensure security via secure authenticated communication http://livy.apache.org/ hue x86_64 230691a706328d39faa14a6b976d50b5f3b3971bb0c6f70d31b5dc085c7ffe5f Hue is a mature SQL Assistant for querying Databases & Data Warehouses. Hue is a mature SQL Assistant for querying Databases & Data Warehouses. hue-server x86_64 ed3f52af548bb5ad691312ca5d1bad16a01fd2928e1dd9b3e7247344d6665cbc hue-server service hue-server service adh-pyspark4 x86_64 a260490c00a4adbae7116a975dba0137dcd3f8fbd34492cf18d845b500eef084 Python3 venv for spark4 Python3 venv for spark4 hadoop x86_64 986b87b788575d5ddd93cec0891d70fd6f7e6a89922786dfabe24d47add2bb70 Hadoop is a software platform for processing vast amounts of data Hadoop is a software platform that lets one easily write and run applications that process vast amounts of data. Here's what makes Hadoop especially useful: * Scalable: Hadoop can reliably store and process petabytes. * Economical: It distributes the data and processing across clusters of commonly available computers. These clusters can number into the thousands of nodes. * Efficient: By distributing the data, Hadoop can process it in parallel on the nodes where the data is located. This makes it extremely rapid. * Reliable: Hadoop automatically maintains multiple copies of data and automatically redeploys computing tasks based on failures. Hadoop implements MapReduce, using the Hadoop Distributed File System (HDFS). MapReduce divides applications into many small blocks of work. HDFS creates multiple replicas of data blocks for reliability, placing them on compute nodes around the cluster. MapReduce can then process the data where it is located. http://hadoop.apache.org/core/ hadoop-client x86_64 275d05d64349c8f9be920909da71db5c340ba522bcdfc7ca5f2f1620005e676c Hadoop client side dependencies Installation of this package will provide you with all the dependencies for Hadoop clients. http://hadoop.apache.org/core/ hadoop-debuginfo x86_64 13b1b7e396b903d70ff7b58d9cf7598eececc6f26f9a498cb27e91d6468299b1 Debug information for package hadoop This package provides debug information for package hadoop. Debug information is useful when developing applications that use this package or when debugging this package. http://hadoop.apache.org/core/ hadoop-doc x86_64 2eb05221cc43efa6921cdfd1b431cf87ad0c725dcb8e92dc8d650b6ab11051d5 Hadoop Documentation Documentation for Hadoop http://hadoop.apache.org/core/ hadoop-hdfs x86_64 2812403b9440b12e072d88a32365f8b3c8c2014b378f2499a8d1de941973a2d2 The Hadoop Distributed File System Hadoop Distributed File System (HDFS) is the primary storage system used by Hadoop applications. HDFS creates multiple replicas of data blocks and distributes them on compute nodes throughout a cluster to enable reliable, extremely rapid computations. http://hadoop.apache.org/core/ hadoop-hdfs-datanode x86_64 61a30f7f85b2816a41bfe2040c6aedecd1b6797e631d534a6533e3ad815ed1ff Hadoop Data Node The Data Nodes in the Hadoop Cluster are responsible for serving up blocks of data over the network to Hadoop Distributed Filesystem (HDFS) clients. http://hadoop.apache.org/core/ hadoop-hdfs-dfsrouter x86_64 47b51cf16898c05be9db915106d2bb9c9a60deea65a66ff84e78ec6db9e37018 Hadoop HDFS Router (Router-based Federation) The Hadoop HDFS Router (Router-based Federation) is a component that allows the Hadoop Distributed Filesystem (HDFS) to be federated. http://hadoop.apache.org/core/ hadoop-hdfs-fuse x86_64 af8658ef9508717fe4ee07717bae374e6b55e1d0da0edaa43df39f022d928631 Mountable HDFS These projects (enumerated below) allow HDFS to be mounted (on most flavors of Unix) as a standard file system using http://hadoop.apache.org/core/ hadoop-hdfs-fuse-debuginfo x86_64 69336414d760a783c35053f42f15e386c1df30222d008aef56bd09b578ed6d45 Debug information for package hadoop-hdfs-fuse This package provides debug information for package hadoop-hdfs-fuse. Debug information is useful when developing applications that use this package or when debugging this package. http://hadoop.apache.org/core/ hadoop-hdfs-journalnode x86_64 5b440e054852c4f701041c760fe333554bae43be9cf9f380572cd9936a780924 Hadoop HDFS JournalNode The HDFS JournalNode is responsible for persisting NameNode edit logs. In a typical deployment the JournalNode daemon runs on at least three separate machines in the cluster. http://hadoop.apache.org/core/ hadoop-hdfs-namenode x86_64 2b24d0a231149582e07a45b6b527aa5c2f450f5ccb9e50a66bb0132e605ce265 The Hadoop namenode manages the block locations of HDFS files The Hadoop Distributed Filesystem (HDFS) requires one unique server, the namenode, which manages the block locations of files on the filesystem. http://hadoop.apache.org/core/ hadoop-hdfs-secondarynamenode x86_64 f710c114fbe9871689291c6451c853cb6ec0751b22693a2accf994b7db99780b Hadoop Secondary namenode The Secondary Name Node periodically compacts the Name Node EditLog into a checkpoint. This compaction ensures that Name Node restarts do not incur unnecessary downtime. http://hadoop.apache.org/core/ hadoop-hdfs-zkfc x86_64 2c4a7eacb74a2b1fa4784dd27b129f365a38c91ef480bb4bfd7f84fe21823fa3 Hadoop HDFS failover controller The Hadoop HDFS failover controller is a ZooKeeper client which also monitors and manages the state of the NameNode. Each of the machines which runs a NameNode also runs a ZKFC, and that ZKFC is responsible for: Health monitoring, ZooKeeper session management, ZooKeeper-based election. http://hadoop.apache.org/core/ hadoop-httpfs x86_64 665e95092fdf625dbac2dd78468674f10708195dd14c29d6a5aeddb66ee1d688 HTTPFS for Hadoop The server providing HTTP REST API support for the complete FileSystem/FileContext interface in HDFS. http://hadoop.apache.org/core/ hadoop-libhdfs x86_64 3939f633e57a8f7d4cc4b4df7d0a8e5328e37503e6b697c440d85d7f6da00093 Hadoop Filesystem Library Hadoop Filesystem Library http://hadoop.apache.org/core/ hadoop-libhdfs-debuginfo x86_64 dfaf79ca658bf706e402b76b70cb3fe6d960741cd64135248ffe34b320e3b037 Debug information for package hadoop-libhdfs This package provides debug information for package hadoop-libhdfs. Debug information is useful when developing applications that use this package or when debugging this package. http://hadoop.apache.org/core/ hadoop-libhdfs-devel x86_64 b62b5cbf7d9c00bce91f9ba2e3c2c54b5abee9e1db0fd8fb5a8dfb7934e2cfe5 Development support for libhdfs Includes examples and header files for accessing HDFS from C http://hadoop.apache.org/core/ hadoop-mapreduce x86_64 7bb57715f49761a60d623e67a5d9264a6ace0d21bd4a1fee3debe6bfefbe467c The Hadoop MapReduce (MRv2) Hadoop MapReduce is a programming model and software framework for writing applications that rapidly process vast amounts of data in parallel on large clusters of compute nodes. http://hadoop.apache.org/core/ hadoop-mapreduce-historyserver x86_64 2bd1ab03729786b72155b0c68c78f43db7c6d10ee1b8316c98f3c350b28a008a MapReduce History Server The History server keeps records of the different activities being performed on a Apache Hadoop cluster http://hadoop.apache.org/core/ hadoop-yarn x86_64 183a5af56dccbc720ff5f26e7ae8b06e2b2eeeff5ead2f722797f12b193de8fd The Hadoop NextGen MapReduce (YARN) YARN (Hadoop NextGen MapReduce) is a general purpose data-computation framework. The fundamental idea of YARN is to split up the two major functionalities of the JobTracker, resource management and job scheduling/monitoring, into separate daemons: ResourceManager and NodeManager. The ResourceManager is the ultimate authority that arbitrates resources among all the applications in the system. The NodeManager is a per-node slave managing allocation of computational resources on a single node. Both work in support of per-application ApplicationMaster (AM). An ApplicationMaster is, in effect, a framework specific library and is tasked with negotiating resources from the ResourceManager and working with the NodeManager(s) to execute and monitor the tasks. http://hadoop.apache.org/core/ hadoop-yarn-debuginfo x86_64 3d396c88002bc5eba318df3c796a29929b709702a39d5ac6be42e1c2af9bcf3f Debug information for package hadoop-yarn This package provides debug information for package hadoop-yarn. Debug information is useful when developing applications that use this package or when debugging this package. http://hadoop.apache.org/core/ hadoop-yarn-nodemanager x86_64 424018e5029ac545f9f5deb6c63eab1ed885f774ce72a128c81268b27ad4ad52 YARN Node Manager The NodeManager is the per-machine framework agent who is responsible for containers, monitoring their resource usage (cpu, memory, disk, network) and reporting the same to the ResourceManager/Scheduler. http://hadoop.apache.org/core/ hadoop-yarn-proxyserver x86_64 dc87c5218cb28b866cb96097f977572650f61a9aa139df9c31443493e09a2b0a YARN Web Proxy The web proxy server sits in front of the YARN application master web UI. http://hadoop.apache.org/core/ hadoop-yarn-resourcemanager x86_64 c4e7dcd9057f094852d211245f26b848c7e5528d6410c95b6d6e43bdb86d74c3 YARN Resource Manager The resource manager manages the global assignment of compute resources to applications http://hadoop.apache.org/core/ hadoop-yarn-router x86_64 ccf3f0dda8e603e4fcd31878e9cf408116dcdaf7469a88709714752be9acb9d1 Hadoop YARN Router (YARN Federation Router) The Hadoop YARN Router (YARN Federation Router) is a component that allows YARN to be federated. http://hadoop.apache.org/core/ hadoop-yarn-timelinereader x86_64 4752a90b15523b2ec824595ec307d1468f9009f62a5ee8a51a214e8d523e216c YARN Timeline Reader The Timeline Reader provides read access to YARN Timeline Service v2 data. http://hadoop.apache.org/core/ hadoop-yarn-timelineserver x86_64 2d47d6c90544bd8b72c6fac764e03e7bb6854dd635323acf81fa85bef48da1e5 YARN Timeline Server Storage and retrieval of applications' current as well as historic information in a generic fashion is solved in YARN through the Timeline Server. http://hadoop.apache.org/core/ tez noarch fe978aeb8bcca36e3a6235370f64c9141d091a190c35041cc8bb73b55f8d9a5b Apache Tez is the Hadoop enhanced Map/Reduce module. The Apache Tez project is aimed at building an application framework which allows for a complex directed-acyclic-graph of tasks for processing data. It is currently built atop Apache Hadoop YARN http://tez.apache.org smart-storage-manager noarch 424920ff89f7c168371aa221834804269137be907ba679655088e6a478895e9d HDFS Smart Storage Management. HDFS Smart Storage Management. smart-storage-manager-agent noarch b7edcc013f655960ab9d7f004f705090b19db1e4cd477884c791a34fbf7970ba smart-storage-manager-agent services. smart-storage-manager-agent services smart-storage-manager-server noarch 3fe1b9724d4aa82782bce6678ef70e51d31a4cc7f71e7691eb3c2803343a53ce smart-storage-manager-server services. smart-storage-manager-server services trino x86_64 b825392973caa99a22b5f5d9408507fc4f2cdd632bdfbf5e48020820941af67b Trino is an open-source distributed SQL query engine designed for running interactive analytics queries against various data sources. Trino is an open-source distributed SQL query engine designed for running interactive analytic queries against various data sources. It enables users to perform fast and efficient queries across large datasets stored in different systems, including data lakes, relational databases, and NoSQL stores. Trino supports a wide range of data formats and connectors, allowing seamless integration with diverse data ecosystems. With its ability to execute queries in parallel across multiple nodes, Trino provides high performance and scalability for big data analytics. trino-client x86_64 82cd1751dd6fc85941ab4b6b94452b714ba26b4bf7109bfbb91e6d9918a7cde1 CLIENT for trino CLIENT for trino trino-coordinator x86_64 fc45f59d4c09a3ac7be1b8b19049e5f5ebc701d8ed8c2e0c4d6ad9a875e75d21 ?OORDINATOR service for trino ?OORDINATOR service for trino trino-history-server x86_64 6daf584f908bc3c034b21ea6aaf15e526acbd9b2e2bb950570fb2969438e9eb4 HISTORY SERVER service for trino HISTORY SERVER service for trino trino-jdbc x86_64 67681ec0501c19d871ecd9bf6233ea79c7d77badb085c923f3e37a0bbc65b881 JDBC driver for trino JDBC driver for trino trino-worker x86_64 c20933b462835099e2fae16f96c2eba3853ed8a8558bc9c6c1c9aba0b95e0850 WORKER service for trino WORKER service for trino trino-openapi x86_64 b63e69c781fb97171d5e89f63c38d25d6c7db4cd5044f39a90d7a46ec3ec0f72 Trino OpenAPI This is a Trino plugin that provides a connector to read from and write to HTTP APIs given an OpenAPI specification. flink noarch fba87861448bd9469828eb02a1fbf9516dbacec990ca896a3ff37126e71b5869 Apache Flink is an open source platform for distributed stream and batch data processing. Apache Flink is an open source platform for distributed stream and batch data processing. Flink?s core is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations over data streams. Flink includes several APIs for creating applications that use the Flink engine: * DataStream API for unbounded streams embedded in Java and Scala, and * DataSet API for static data embedded in Java, Scala, and Python, * Table API with a SQL-like expression language embedded in Java and Scala. Flink also bundles libraries for domain-specific use cases: * Machine Learning library, and * Gelly, a graph processing API and library. Some of the key features of Apache Flink includes. * Complete Event Processing (CEP) * Fault-tolerance via Lightweight Distributed Snapshots * Hadoop-native YARN & HDFS implementation http://flink.apache.org/ flink-historyserver noarch 1f2156d53c341526541e31fe5a036d8b4fb2bebcbb0ec14cd31042e2ca9987f9 Provides the Apache Flink History Server service. Apache Flink History Server service. http://flink.apache.org/ flink-hive-extensions noarch 4ac35bea8d2ef8145b5de4b20ecb2efad8fc1dbf4f7df837f3765f46c3b9a62c Flink Hive extensions Flink Hive extensions Requires: /lib/lsb/init-functions http://flink.apache.org/ flink-jobmanager noarch a8dad1599cd2ee8fdaad2d1b301fe6d4003a9fe00a7e2fdc568ae9a10f363aec Provides the Apache Flink Job Manager service. Apache Flink Job Manager service. Requires: /lib/lsb/init-functions http://flink.apache.org/ flink-taskmanager noarch 0806289a1782eb696666e04a5f4da8ca2cb43c15a721578b22d7b50d19f49c65 Provides the Apache Flink Task Manager service. Apache Flink Task Manager service. http://flink.apache.org/ flink2 noarch 2bcf09569ce19668ee9ea053120eed8a5cdbfcf686bd727a1a943e92a549e594 Apache Flink is an open source platform for distributed stream and batch data processing. Apache Flink is an open source platform for distributed stream and batch data processing. Flink?s core is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations over data streams. Flink includes several APIs for creating applications that use the Flink engine: * DataStream API for unbounded streams embedded in Java and Scala, and * DataSet API for static data embedded in Java, Scala, and Python, * Table API with a SQL-like expression language embedded in Java and Scala. Flink also bundles libraries for domain-specific use cases: * Machine Learning library, and * Gelly, a graph processing API and library. Some of the key features of Apache Flink includes. * Complete Event Processing (CEP) * Fault-tolerance via Lightweight Distributed Snapshots * Hadoop-native YARN & HDFS implementation http://flink.apache.org/ flink2-historyserver noarch 8b9820ea5911077bfc0c66ddfadd390c8e67a79cd42bb1addfbb8e486250e71d Provides the Apache Flink History Server service. Apache Flink History Server service. http://flink.apache.org/ flink2-hive-extensions noarch 5770d165f526165c081679975becfe07608b94a4790e7d3605e03e0da2e38795 Flink Hive extensions Flink Hive extensions Requires: /lib/lsb/init-functions http://flink.apache.org/ flink2-utils x86_64 0804421cf573debe7d01f7bd008607286743be31a343d5d9597ce7ef79dffd7a Apache Flink2 Utils Apache Flink2 Utils. spark3-paimon-extensions x86_64 473fe047ba3565b42bde10f75bf0b97b76e431deab47a0b6d9ed5e0a8d97754c Apache Paimon lake format extensions for Spark 3.5.x Apache Paimon lake format extensions for Spark 3.5.x spark4-paimon-extensions x86_64 9a7659867fd39a883c09f7f5d85604c17ab8e1c7ced211a1dc70a5fd8d29e1cd Apache Paimon lake format extensions for Spark 4.2.x Apache Paimon lake format extensions for Spark 4.2.x spark3-connect x86_64 a715c5f7a451107d6a28b40e9d6030702074f2a29b874a30689e47d3c645ec24 spark3 connector service spark3 connector service http://spark3.apache.org/ spark3-core x86_64 c1f98e3380cf3fc87d19c8e74dd32180b7365799f613776af7b15a4e385bb8a5 Lightning-Fast Cluster Computing spark 3 is a MapReduce-like cluster computing framework designed to support low-latency iterative jobs and interactive use from an interpreter. It is written in Scala, a high-level language for the JVM, and exposes a clean language-integrated syntax that makes it easy to write parallel jobs. spark3 runs on top of the Apache Mesos cluster manager. http://spark3.apache.org/ spark3-datanucleus x86_64 7a660df57b3b64646cf26cfa9191e91e6b22e6a37929c5de06366e6aa08d1f1d DataNucleus libraries for Apache spark3 DataNucleus libraries used by spark3 SQL with Hive Support http://spark3.apache.org/ spark3-external x86_64 5d7b29257cad50192b4ba282ed544ca6d8c00be58bf92c28c3d27fad7b0d2728 External libraries for Apache spark3 External libraries built for Apache spark3 but not included in the main distribution (e.g., external streaming libraries) http://spark3.apache.org/ spark3-history-server x86_64 67fd08995366aa35822bb0a134b1da23a897542abf68e25af1b72cd43c48cc05 History server for Apache spark3 History server for Apache spark3 http://spark3.apache.org/ spark3-python x86_64 e63d5f6d990da97c25771f6f03d1e4ef6d243745896ae23264332e6be8920902 Python client for spark3 Includes Pyspark, an interactive Python shell for spark3, and related libraries http://spark3.apache.org/ spark3-standalone-metastore x86_64 50be6d4f73a8144faabb2d3e96cab66ffa7259af2740b6b9e155d0e0773bec17 Package hosts a metadata server for Hive clients across a network to use Package hosts a metadata server for Hive clients across a network to use http://spark3.apache.org/ spark3-yarn-shuffle x86_64 14278832d184ec67676297782a4c8bd7e33c709ff5ec26373c5204d26ac39b61 spark3 YARN Shuffle Service spark3 YARN Shuffle Service http://spark3.apache.org/ spark4-connect x86_64 3aacee903246bdba317f531dca06f572526aab98b8b935263947bd57f670a651 spark4 connector service spark4 connector service http://spark4.apache.org/ spark4-core x86_64 dcfeb514a20defd8223194f6138a12dda80b0903ecac7b3e04e6c7454933334d Lightning-Fast Cluster Computing spark 3 is a MapReduce-like cluster computing framework designed to support low-latency iterative jobs and interactive use from an interpreter. It is written in Scala, a high-level language for the JVM, and exposes a clean language-integrated syntax that makes it easy to write parallel jobs. spark4 runs on top of the Apache Mesos cluster manager. http://spark4.apache.org/ spark4-datanucleus x86_64 362e7af029590351117c9d88e4267f7f8c0056b57d9633c271c32731b8c15795 DataNucleus libraries for Apache spark4 DataNucleus libraries used by spark4 SQL with Hive Support http://spark4.apache.org/ spark4-external x86_64 79709b0e23394f1c31dbe84a1776704f84fab1bbc02e6a4b7ad16986d3a2ffa6 External libraries for Apache spark4 External libraries built for Apache spark4 but not included in the main distribution (e.g., external streaming libraries) http://spark4.apache.org/ spark4-history-server x86_64 6552b08fdd762e86d1472bce74241b0df8e9d0fd3dcbcabd335dfdcf650bf193 History server for Apache spark4 History server for Apache spark4 http://spark4.apache.org/ spark4-python x86_64 f658a42fbed22b6e62ab814ee10f885f2bf864431ec9af6890261d7dd8138fa8 Python client for spark4 Includes Pyspark, an interactive Python shell for spark4, and related libraries http://spark4.apache.org/ spark4-standalone-metastore x86_64 4d8e53ed663e008cdc93f35e4fa8d91f37e4fe717c122534fc3056f2fe8c488b Package hosts a metadata server for Hive clients across a network to use Package hosts a metadata server for Hive clients across a network to use http://spark4.apache.org/ spark4-yarn-shuffle x86_64 9bd5f7fa0f533a041b2b76d215efee91a806178e9d010542155ecbb35c565dbb spark4 YARN Shuffle Service spark4 YARN Shuffle Service http://spark4.apache.org/ hbase noarch bcc774fab29a05c25def953785e0a9fe6d630dc9bd0523c43c95eac50b8eeb92 HBase is the Hadoop database. Use it when you need random, realtime read/write access to your Big Data. This project's goal is the hosting of very large tables -- billions of rows X millions of columns -- atop clusters of commodity hardware. HBase is an open-source, distributed, column-oriented store modeled after Google' Bigtable: A Distributed Storage System for Structured Data by Chang et al. Just as Bigtable leverages the distributed data storage provided by the Google File System, HBase provides Bigtable-like capabilities on top of Hadoop. HBase includes: * Convenient base classes for backing Hadoop MapReduce jobs with HBase tables * Query predicate push down via server side scan and get filters * Optimizations for real time queries * A high performance Thrift gateway * A REST-ful Web service gateway that supports XML, Protobuf, and binary data encoding options * Cascading source and sink modules * Extensible jruby-based (JIRB) shell * Support for exporting metrics via the Hadoop metrics subsystem to files or Ganglia; or via JMX http://hbase.apache.org/ hbase-doc noarch 8451e78698ead7cb0dd28ac8a1459305aeae242776fefabc26cc69f66cb251c6 Hbase Documentation Documentation for Hbase http://hbase.apache.org/ hbase-master noarch e824999d2261f0591e8087ab2289089e13c9d09433e80414f545630bb5d1dc4f The Hadoop HBase master Server. HMaster is the "master server" for a HBase. There is only one HMaster for a single HBase deployment. http://hbase.apache.org/ hbase-regionserver noarch 54842ec08afd277534f422ed1308a58d2104aa19beb3a7fb558c4aefeff5ae45 The Hadoop HBase RegionServer server. HRegionServer makes a set of HRegions available to clients. It checks in with the HMaster. There are many HRegionServers in a single HBase deployment. http://hbase.apache.org/ hbase-rest noarch 7740200b7fa1e27daad72531a3cdba4f5a172bd345263a7db7443267b55e206b The Apache HBase REST gateway The Apache HBase REST gateway http://hbase.apache.org/ hbase-thrift noarch 38104ee73e94b325fa5a3766cd9279994aa804795ab8674e968e4831f2620b5a The Hadoop HBase Thrift Interface ThriftServer - this class starts up a Thrift server which implements the Hbase API specified in the Hbase.thrift IDL file. "Thrift is a software framework for scalable cross-language services development. It combines a powerful software stack with a code generation engine to build services that work efficiently and seamlessly between C++, Java, Python, PHP, and Ruby. Thrift was developed at Facebook, and we are now releasing it as open source." For additional information, see http://developers.facebook.com/thrift/. Facebook has announced their intent to migrate Thrift into Apache Incubator. http://hbase.apache.org/ hbase-thrift2 noarch de35bdaf6eb6e989c153c3c8bf69d259decbe48a37914f10540de9ca0e8c0623 The Hadoop HBase Thrift2 Interface Thrift2 Server to supersede original Thrift Server. Still under development. https://issues.apache.org/jira/browse/HBASE-8818 http://hbase.apache.org/ phoenix noarch 5a754f05f209297d8791c1003f814439aa303e8a1eb4d8c39e3cc8a43ae9cb91 Phoenix is a SQL skin over HBase and client-embedded JDBC driver. Phoenix is a SQL skin over HBase, delivered as a client-embedded JDBC driver. The Phoenix query engine transforms an SQL query into one or more HBase scans, and orchestrates their execution to produce standard JDBC result sets. Direct use of the HBase API, along with coprocessors and custom filters, results in performance on the order of milliseconds for small queries, or seconds for tens of millions of rows. Applications interact with Phoenix through a standard JDBC interface; all the usual interfaces are supported. http://phoenix.apache.org spark-overwrite-on-commit-protocol x86_64 f025e7e992fc9fca81c0fe26fd516e1dd37823708d4c7e6f19da75f68700b904 Spark overwrite on commit protocol Spark overwrite on commit protocol phoenix-queryserver x86_64 84ac0e8ac9b6e13b0f9a619faf63183caf509b5323203aaae2ea75472646d134 The Phoenix Query Server is an JDBC over HTTP abstraction The Phoenix Query Server is an JDBC over HTTP abstraction ArenaData https://github.com/arenadata/phoenix-queryserver starrocks x86_64 5c43c34753f8c5ce66a31583c54722a2344d53e878884749fe7a552c2c52a66d StarRocks analytical data warehouse StarRocks is a next-gen, high-performance analytical data warehouse for real-time analytics. This package contains Frontend and Compute Node binaries laid out under FHS paths. starrocks-cn x86_64 c7ae05910c72af44315631b3bad7635e1bce05c4e2cb5a57c93f0119ca047b87 StarRocks Compute Node systemd unit systemd unit for StarRocks Compute Node (starrocks-cn.service). Does not enable the unit automatically ? operator selects host role. Independent of the Frontend unit package. starrocks-fe x86_64 e340331a4b4317d6cbd2c89b993ee59ef8216edf2cf651d92566849380ca697c StarRocks Frontend systemd unit systemd unit for StarRocks Frontend (starrocks-fe.service). Does not enable the unit automatically ? operator selects host role. zeppelin x86_64 a5eefddb9667b9d141986f874736505b884fddab406e4efa7f44cc2fee006423 Web-based notebook for Apache Spark Zeppelin is a web-based notebook that enables interactive data analytics with Apache Spark. You can make beautiful data-driven, interactive and collaborative documents with SQL, Scala and more. http://zeppelin.apache.org/ hive noarch 09ac81d90649dda6a270a5f7b86a95de8c03d71a5fdd2b6edde43f28d760906f Hive is a data warehouse infrastructure built on top of Hadoop Hive is a data warehouse infrastructure built on top of Hadoop that provides tools to enable easy data summarization, adhoc querying and analysis of large datasets data stored in Hadoop files. It provides a mechanism to put structure on this data and it also provides a simple query language called Hive QL which is based on SQL and which enables users familiar with SQL to query this data. At the same time, this language also allows traditional map/reduce programmers to be able to plug in their custom mappers and reducers to do more sophisticated analysis which may not be supported by the built-in capabilities of the language. http://hive.apache.org/ hive-hcatalog noarch 8482f0a21a856e6f37059e6d822172823c8e7be34b98a3a2875b623ebe12d7b7 Apache Hcatalog is a data warehouse infrastructure built on top of Hadoop Apache HCatalog is a table and storage management service for data created using Apache Hadoop. This includes: * Providing a shared schema and data type mechanism. * Providing a table abstraction so that users need not be concerned with where or how their data is stored. * Providing interoperability across data processing tools such as Pig, Map Reduce, Streaming, and Hive. http://hive.apache.org/ hive-hcatalog-server noarch b99ef44530b8747df503fe5fa6394b8ca1baad891d0e9b8f55f9a114c84e5111 Init scripts for HCatalog server Init scripts for HCatalog server http://hive.apache.org/ hive-jdbc noarch 9ca8a3889b594758129cfc36846c7b60ab09cc8c790f114e8c4db6026af7254b Provides libraries necessary to connect to Apache Hive via JDBC This package provides libraries necessary to connect to Apache Hive via JDBC http://hive.apache.org/ hive-metastore noarch 4769cd4680b2c90c02e038b80f69ee23e65e1d3c7dc2ad44325a1b4695f7ec40 Shared metadata repository for Hive. This optional package hosts a metadata server for Hive clients across a network to use. http://hive.apache.org/ hive-server2 noarch 55c900bba606d83e1143bc6475097b1e5a3796a56ca40206880c1f8fa8515f08 Provides a Hive Thrift service with improved concurrency support. This optional package hosts a Thrift server for Hive clients across a network to use with improved concurrency support. http://hive.apache.org/ hive-webhcat noarch a4470c4cf768b5233d60722c2d3f52eb0bcc5d646a70b4c08097a56ad6eb1c98 WebHcat provides a REST-like web API for HCatalog and related Hadoop components. WebHcat provides a REST-like web API for HCatalog and related Hadoop components. http://hive.apache.org/ hive-webhcat-server noarch 5103da07276bfbee25227260eb5c1d483b32a1f0d3243e0b2864fd7cd289081d Init scripts for WebHcat server Init scripts for WebHcat server. http://hive.apache.org/ impala x86_64 f619098b79b66f85603a98fd6c3def1e9c4137cecb7fcb7582662e88b41caf4b Impala Impala is an open source massively parallel processing query engine on top of clustered systems like Apache Hadoop impala-catalogd x86_64 59ab5220642783ee44c42a7fa901aedf64cbe885f4a134c56d01ebc04ae919c9 impala catalogd service impala catalogd service impala-client x86_64 c5e1d915cde02b58f5dd2541afa4e105ad409bb273569c81c0628a73896e8e95 impala client shell script impala client shell script impala-impalad x86_64 dd625235730251ab574f3ca34545271a551530545eeed532bd3d914fa4571760 impala impalad service impala impalad service impala-statestored x86_64 06f0d39e603ea483b1cdf345d721ed0110e4e040b1e6908708f5d30e3989e659 impala statestored service impala statestored service paimon-trino x86_64 5b7b0062810f95bd38c034e7529406e269df3e59ef19e184b70b7ae7bf969400 Trino connector for Apache Paimon Trino connector for Apache Paimon. ozone noarch 348388d7aa551e65adede22f21c6f1058dc36ed00b78c8283f4bdce3d3bb0f2f Apache ozone Ozone is a scalable, redundant, and distributed object store for Hadoop and Cloud-native environments. Apart from scaling to billions of objects of varying sizes, Ozone can function effectively in containerized environments such as Kubernetes and YARN. ozone-datanode noarch cac64abb1cb6ab33196053a7aa532a096deca49f70ebb3fe4f5f845b062bf7cf DATANODE service for ozone DATANODE service for ozone ozone-httpfs noarch 9b7be4f954b38f9b206780d6ba9c922dfad6d948e4d3f089a600298c253783c3 HTTPFS service for ozone HTTPFS service for ozone ozone-om noarch 5c64e8b74d49d40dcf81bd65ce4a12d8ef24bea9f38fd2ed9360c26fa269560d OM service for ozone OM service for ozone ozone-recon noarch a4eed7f505fab65a7e8eec0d92710115aee01c1a6802d4244dbe07dc63ce9717 RECON service for ozone RECON service for ozone ozone-s3g noarch 699079a38f65cf6e48e11cb329dc00e98eaa724aa5818343d6edef18f5ef3400 S3G service for ozone S3G service for ozone ozone-scm noarch e56d84c27e41e1a8aca24f4b9acdbf48e43d9a04ac8155fa0f36a8e479b22811 SCM service for ozone SCM service for ozone ozone-trino-client noarch 56b3a0358010c50e17fe846c5c4aa31257862f9cdbd23ec83189747564ccc0c1 SCM service for ozone Apache Ozone FS Hadoop shaded compatibility