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Sempala is a SPARQL-over-SQL approach to provide interactive-time SPARQL query processing on Hadoop. It stores RDF data in a columnar layout (Parquet) on HDFS and uses either Impala or Spark as the execution layer on top of it. SPARQL queries are translated into Impala/Spark SQL for execution.

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Sempala

Sempala is a SPARQL-over-SQL approach to provide interactive-time SPARQL query processing on Hadoop. It stores RDF data in a columnar layout (Parquet) on HDFS and uses either Impala or Spark as the execution layer on top of it. SPARQL queries are translated into Impala/Spark SQL for execution.

http://dbis.informatik.uni-freiburg.de/forschung/projekte/DiPoS/Sempala.html

LICENSE

Unless explicitly stated otherwise all files in this repository are licensed under the Apache Software License 2.0

Copyright 2017 University of Freiburg

Licensed 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.

BUILD project

You need to have Maven installed on your system. Then simply run "mvn package" from the root directory. It will build 'sempala-loader', 'sempala-translator' and finally 'sempala'. You can also build 'sepala-loader' or 'sempala-translator' only by running "mvn package" from the corresponding subdirectory. NOTE: Two jars are generated for sempala translator - one for Impala (sempala-translator) and one for Spark (spark-sempala-translator)

PURPOSE OF project_repo DIRECTORY

Cloudera Impala JDBC connector ships with several libraries. All but the connector itself are available in the maven or cloudera central repositories and are pulled at build time by maven. To fit in the maven architecture the connector is installed in a in-project repository, which behaves like a remote central repository.

To update the version of the Impala JDBC connector in the in-project repository, you can install a newer version of it and update the POM of sempala-parent (main POM in root directory of this project) to use that version. To do this, get the JDBC driver by downloading it from cloudera.com [1] and install it with the maven install plugin. This will take care of checksums:

  mvn install:install-file
    -DlocalRepositoryPath=project_repo
    -DcreateChecksum=true
    -Dpackaging=jar
    -Dfile=<path_to:jdbc_driver.jar>
    -DgroupId=com.cloudera.impala
    -DartifactId=impala-jdbc-4.1-connector
    -Dversion=<version>

Official guide to installing 3rd party JARs

Although rarely, but sometimes you will have 3rd party JARs that you need to put in your local repository for use in your builds, since they don't exist in any public repository like Maven Central. The JARs must be placed in the local repository in the correct place in order for it to be correctly picked up by Apache Maven. To make this easier, and less error prone, we have provide a goal in the maven-install-plugin which should make this relatively painless. To install a JAR in the local repository use the following command:

  mvn install:install-file -Dfile=<path-to-file> -DgroupId=<group-id> \
    -DartifactId=<artifact-id> -Dversion=<version> -Dpackaging=<packaging>

If there's a pom-file as well, you can install it with the following command:

  mvn install:install-file -Dfile=<path-to-file> -DpomFile=<path-to-pomfile>

With version 2.5 of the maven-install-plugin it gets even better. If the JAR was built by Apache Maven, it'll contain a pom.xml in a subfolder of the META-INF directory, which will be read by default. In that case, all you need to do is:

  mvn install:install-file -Dfile=<path-to-file>

(Source: https://maven.apache.org/guides/mini/guide-3rd-party-jars-local.html)

[1] http://www.cloudera.com/downloads/connectors/impala/jdbc.html

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Sempala is a SPARQL-over-SQL approach to provide interactive-time SPARQL query processing on Hadoop. It stores RDF data in a columnar layout (Parquet) on HDFS and uses either Impala or Spark as the execution layer on top of it. SPARQL queries are translated into Impala/Spark SQL for execution.

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