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Mirror of Apache MRQL (Incubating)
License: Apache License 2.0
This project forked from apache/incubator-retired-mrql
Mirror of Apache MRQL (Incubating)
License: Apache License 2.0
*************************************************************************** Licensed to the Apache Software Foundation (ASF) under one or more contributor license agreements. See the NOTICE file distributed with this work for additional information regarding copyright ownership. The ASF licenses this file to you under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. *************************************************************************** Apache MRQL 0.9.6-incubating ============================ Apache MRQL (pronounced miracle) is a query processing and optimization system for large-scale, distributed data analysis. MRQL (the MapReduce Query Language) is an SQL-like query language for large-scale data analysis on a cluster of computers. The MRQL query processing system can evaluate MRQL queries in four modes: * in Map-Reduce mode using Apache Hadoop, * in BSP mode (Bulk Synchronous Parallel mode) using Apache Hama, * in Spark mode using Apache Spark, * in Flink mode using Apache Flink. The MRQL query language is powerful enough to express most common data analysis tasks over many forms of raw in-situ data, such as XML and JSON documents, binary files, and CSV documents. MRQL is more powerful than other current high-level MapReduce languages, such as Hive and PigLatin, since it can operate on more complex data and supports more powerful query constructs, thus eliminating the need for using explicit MapReduce code. With MRQL, users are able to express complex data analysis tasks, such as PageRank, k-means clustering, matrix factorization, etc, using SQL-like queries exclusively, while the MRQL query processing system is able to compile these queries to efficient Java code. General Info ============ For the latest information about MRQL, please visit our website at: http://mrql.incubator.apache.org/ and our wiki, at: http://wiki.apache.org/mrql/ Getting Started =============== Installation instructions and a quick tutorial: http://wiki.apache.org/mrql/GettingStarted To build MRQL using maven, use 'mvn clean install'. To validate the installation use 'mvn -DskipTests=false clean install', which runs the queries in 'tests/queries' in memory, local Hadoop mode, local Hama mode, local Spark mode, and local Flink mode. Useful mailing lists ==================== 1. [email protected] - To discuss and ask usage questions. Send an empty email to [email protected] in order to subscribe to this mailing list. 2. [email protected] - For discussions about code, design and features. Send an empty email to [email protected] in order to subscribe to this mailing list. 3. [email protected] - In order to monitor commits to the source repository. Send an empty email to [email protected] in order to subscribe to this mailing list.
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