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# Step 1 - Import necessary Packages
import cudf as cudf
import pyblazing
from pyblazing import DriverType, FileSystemType, EncryptionType
from pyblazing import SchemaFrom
# Step 2 - Register a File System
def register_hdfs():
print('*** Register a HDFS File System ***')
fs_status = pyblazing.register_file_system(
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@roaramburu
roaramburu / bsql_conda_install.sh
Last active October 29, 2019 02:41
BlazingSQL Conda Install
# Install BlazingSQL for CUDA 10.0
conda install -y -c conda-forge -c defaults -c nvidia -c rapidsai -c blazingsql/label/cuda10.0 -c blazingsql blazingsql-calcite blazingsql-orchestrator blazingsql-ral blazingsql-python python=3.7 cudatoolkit=10.0
pip install flatbuffers && \
pip install jupyterlab
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#!/usr/bin/env python
# coding: utf-8
# # BlazingSQL TPC-H Benchmark Notebook
#
# In this notebook we will setup a distributed BlazingSQL cluster with Dask running cuDF on every node as well. We will query data residing on Google Cloud Storage (GCS) in Apache Parquet files.
#
# First we will import necessary packages and launch the distributed servicers.
# In[ ]:
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