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hbutani edited this page Sep 2, 2016 · 4 revisions

Query Plan Transformations and Optimizations
Introducing Logical Optimizer
Druid Query Optimizations
Druid Query Cost Model
JavaScript Code Generator: Pushing down complex GB
Query Execution Modes (Broker vs Historical)
Bridging Druid Results into the Spark Data pipeline

Toggle table of contents Pages 41

Home
0. What's new in 0.1.0
Approximate Count and Spatial Queries
Bridging Druid Results into the Spark Data pipeline
Building the Druid Index for the TPCH Dataset using the Local Indexing Service.
Cluster Spinup Tool
Defining a Druid DataSource on a Flattened Dataset
Defining a Star Schema
Dev. Guide
Druid Datasource Options
Druid Query Cost Model
Druid Query Optimizations
Generating Denormalized TPCH Dataset
Home old
How to debug a Query Plan?
Installing and Setup Druid
Introducing Logical Optimizer
JavaScript Code Generator: Pushing down complex GB
Overview
Query Execution Modes (Broker vs Historical)
Query Plan Transformations and Optimizations
Quick Start Guide
Reference Architecture for Accelerating existing SQL Datasets
Release 0.1.0
Release 0.2.0
Release 0.2.1
Release 0.3.0
Release 0.4.0
Releases
Running the ThriftServer with Sparklinedata components
Runtime Views
Sample Queries
Setting up multiple Sparkline ThriftServers (Load Balancing & HA)
Simple Example
Simple Jmeter Guide in Spark Testing
Sparkline SQL extensions
Sparkline SQLContext Options
SparklineData Modules
TPCHBenchmark
User Guide
Using Tableau with Sparkline

Overview
Quick Start
- Installing and Setup Druid
User Guide
- [Defining a DataSource on a Flattened Dataset](https://github.com/SparklineData/spark-druid-olap/wiki/Defining-a Druid-DataSource-on-a-Flattened-Dataset)
- Defining a Star Schema
- Sample Queries
- Approximate Count and Spatial Queries
- Druid Datasource Options
- Sparkline SQLContext Options
- Using Tableau with Sparkline
- How to debug a Query Plan?
- Running the ThriftServer with Sparklinedata components
- [Setting up multiple Sparkline ThriftServers - Load Balancing & HA] (https://github.com/SparklineData/spark-druid-olap/wiki/Setting-up-multiple-Sparkline-ThriftServers-(Load-Balancing-&-HA))
- Runtime Views
- Sparkline SQL extensions
- Sparkline Pluggable Modules
Dev. Guide
Reference Architectures
- Accelerating existing SQL Datasets
Releases
Cluster Spinup Tool
TPCH Benchmark
- Generating Denormalized TPCH Dataset
- Build TPCH Index for Benchmark

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