PDL Tools is a library of reusable tools used and developed by the Pivotal Data Science and Data Engineering teams.
http://pivotalsoftware.github.io/PDLTools/
Binaries (Pivotal internal)The following are the pre-requisites for building PDLTools:
Required:
Optional:
For CentOS or Red Hat Enterprise Linux, install the pre-requisite tools:
sudo yum install cmake gcc gcc-c++ flex bison rpm-build
From either the Greenplum or HAWQ master node, follow these steps as the gpadmin user:
curl -L -o pdltools-1.7.zip https://github.com/pivotalsoftware/PDLTools/archive/v1.7.zip
unzip pdltools-1.7.zip
cd PDLTools-1.7
source /usr/local/hawq/greenplum_path.sh
mkdir build
cd build
cmake .. -DRPM_INSTALL_PREFIX=$GPHOME
curl -L -o third_party/downloads/uriparser-0.7.9.tar.bz2 https://sourceforge.net/projects/uriparser/files/uriparser-0.7.9.tar.bz2
curl -L -o third_party/downloads/cpptest-1.1.2.tar.gz https://sourceforge.net/projects/cpptest/files/cpptest-1.1.2.tar.gz
make 2> /dev/null
You can generate Doxygen docs for the project as follows:
This will create the user docs under $BUILD/doc/user/html. You can also generate a PDF of the user doc by running
cd build/doc/user/latex && make pdf
This will generate a PDF titled refman.pdf in $PDLTOOLS/build/doc/user/latex
To create an rpm package which you can ship for installation into other machines, run the following (from the build directory):
When installing on a cluster, it is best to create a gppkg installer. Run the following (from the build directory):
Installation is a two-step process. First, you will have to install MADlib and PDL Tools on either the Greenplum or HAWQ master node. To do this, you will run the following:
gppkg -i <pdltools gppkg file>
For example, run the following (from the build directory):
gppkg -i deploy/gppkg/2.0/pdltools-1.7-hawq2.0-rhel5-x86_64.gppkg
This will place all the relevant binaries & SQL files at the appropriate location (usually $GPHOME/pdltools). Next, you will have to install the SQL UDFs in the target database.
To install pdltools into a database of your choice, run the following (consider adding pdlpack in your PATH):
$GPHOME/pdltools/bin/pdlpack install [-s <schema name>] [-S <SUgAR schema name>] [-M <MADlib schema name>] -c <username>@<hostname>:<port>/<database name>
For example:
$GPHOME/pdltools/bin/pdlpack install -s pdltools -c gpadmin@mdw:5432/testdb
The default schemas are pdltools for the main schema, sugarlib for SUgAR and madlib to search for MADlib objects.
Post installation, you can run the unit tests in PDL Tools with the install-check command like so:
$GPHOME/pdltools/bin/pdlpack install-check -s pdltools -c gpadmin@mdw:5432/testdb
Parameters for install-check are the same as parameters for install. If any of the tests fail, you will see an error message displayed on your console.
If you're interested in contributing to PDLTools, please refer to the instructions at Guidelines for contributing to PDLTools
Copyright (c) 2013-2016 Pivotal Software, Inc. All rights reserved.
Unauthorized use, copying or distribution of this source code via any medium is strictly prohibited without the express written consent of Pivotal Software, Inc.
THE SOFTWARE IS PROVIDED “AS IS”, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
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