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Sparkline SQLContext Options
hbutani edited this page Sep 2, 2016
·
1 revision
All options begin with spark.sparklinedata.druid
and are settable in the SparkContext.
Name | Description | Default(if any) |
---|---|---|
cache.tables.tocheck | A comma separated list of tableNames that should be checked if they are cached. For Star-Schemas with associated Druid Indexes, even if tables are cached, we attempt to rewrite the Query to Druid. In order to do this we need to convert an InMemoryRelation operator with its underlying Logical Plan. This value, will tell us to restrict our check to certain tables. | No tables are checked. |
debug.transformations | When set to true each plan transformation is logged. | false |
selectquery.pagesize | Num. of rows fetched on each invocation of Druid Select Query | 10000 |
max.connections | Max. number of Http Connections to Druid Cluster(s) | 100 |
max.connections.per.route | Max. number of Http Connections to each server in Druid Cluster | 20 |
option.... | use this to override Druid DataSource options, See Druid-Datasource-Options to see which ones are overriddable this way | none |
querycostmodel… | see Druid Cost Model | see cost model page |
- Overview
- Quick Start
-
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
- Releases
- Cluster Spinup Tool
- TPCH Benchmark