An Itroduction to the QUIS Language

An Introduction to the QUIS Language
Javad Chamanara
University of Jena, Germany
MoSD course 2016

• Various tools
– R, Matlab, …
• Various languages
– SQL, Python, C, …
• Different data sources and formats
– Tables, sheets, flat files, …
• Transforming data for tool integration
• Similar concepts different presentations
• Sharing, reproduction, …
Motivation

To define the query in a uniform
way and QUIS it Equally
on various Data Sources to have a
proper Result back
Objectives

How it works
SELECT
Source
Select
Operation
Filter
Persistent
Container
Memory
variable
Target
Plot
Persistent
Container
Memory
variable
Joined
Container
Order
Group
Limit
Aggregate
Transform

The shortest query statement
SELECT FROM ds1.0
Query
Data Source:
Database, Folder, Book,
graph
Data Container:
Table, file, sheet, …

A statement with a Data Source
BIND ds1 CONNECTION=cnn1
SCOPE=xdata_10, udata
SELECT FROM ds1.0 INTO var1
Query

A statement with a CONNECTION
CONNECTION cnn1 ADAPTER=CSV
SOURCE_URI="D:ProjectsMoSDData"
BIND ds1 CONNECTION=cnn1 SCOPE=xdata_10, udata
Query

Using result sets of previous queries
SOURCE_URI="D:ProjectsSoilData"
BIND ds1 CONNECTION=cnn1 SCOPE=xdata_10, udata
SELECT FROM var1 INTO var2 ORDER BY
temp
Query

Joining two files (containers)
SOURCE_URI="D:ProjectsSoilData"
BIND ds1 CONNECTION=cnn1 SCOPE=data1, data2, udata
SELECT FROM ds1.data1 INNER JOIN
ds1.data2 ON xk == yk INTO joined
Query

Adding virtual schemas
PERSPECTIVE observation
{
ATTRIBUTE Temperature: Real MapTo = 1.8 * temperature + 32,
ATTRIBUTE SN: Real MapTo = soilNi / 1000,
}
SELECT USING PERS observation FROM ds1.0 INTO
var1
Query

Hierarchical virtual schemas
PERSPECTIVE location
{
ATTRIBUTE Longitude: Real MapTo = longitude,
ATTRIBUTE Latitude: Real MapTo = latitude,
ATTRIBUTE Elevation: Real MapTo = elevation / 0.3048,
}
PERSPECTIVE observation EXTENDS location
{
ATTRIBUTE Temperature: Real MapTo = 1.8 * temperature + 32,
ATTRIBUTE SN: Real MapTo = soilNi / 1000,
}
SELECT USING PERSPECTIVE observation FROM ds1.0 INTO var1
Query

The SELECT clauses
SELECT USING PERSPECTIVE observation FROM ds1.0 INTO var1
WHERE (Temperature > 50)
ORDER BY Elevation ASC
LIMIT SKIP 1 TAKE 20
Query

Utilizing functions
ATTRIBUTE ObsTime: Date MapTo = str.toDate(obs_time,
"HH:mm"),
ATTRIBUTE meanTemp: Real MapTo = avg(temperature),
SELECT USING PERS INLINE sum(rank) as tRank,
employee as e FROM ds1.0 INTO var1
WHERE (math.log(math.abs(pIndex))> 3)
Query

Streaming
SELECT USING PERS observation FROM ds1.0
INTO ds1.1
WHERE (Temperature > 50 AND Elevation >= 32 AND
Elevation < 50)
Query

SELECT FROM b2.0 INNER JOIN b2.1 ON PK <> FK
INTO PLOT p3 hax:Elevation v-axis:R.Temperature
pt:l hl:"Elevation (F)" vl:"Temperature (F)"
pl:"Temperature and Elevation"
WHERE (R.Temperature > 0)
ORDER BY Elevation
Query

SELECT FROM b2.0 PERS PLeft INNER JOIN b2.1 PERS PRight
ON PK <> FK
INTO PLOT p3 hax:Elevation v-axis:R.Temperature pt:l hl:"Elevation
(F)" vl:"Temperature (F)" pl:"Temperature and Elevation"
WHERE (R.Temperature > 0) ORDER BY Elevation
Plots

RQUIS
• A package for R users
• To access QUIS functionalities
• To facilitate heterogeneous data access
• In a unified manner
• Using one langauge

library(RQUIS)
library(ggplot2)
library(scales)
library(plyr)

file <- system.file("extdata",
"ex1.xqt", package="RQUIS")
ld <- quis.loadProcess(engine, file)

rn <- quis.runProcess(engine)
err <- quis.getRunReport(engine)

data <- quis.getVariable(engine,
"meanDailyTemp")
schema <-
quis.getVariableSchema(engine,
"meanDailyTemp")

ggplot(data, aes(dayindex,
meantemp)) + geom_line() +
xlab("") + ylab("Mean Temperature
C°") +
ggtitle("2014 Average Daily
Temperature at SFO")

ggplot(data, aes(dayindex,
meantemp)) + geom_line() +
xlab("") + ylab("Mean Temperature
C°") +
ggtitle("2014 Average Daily
Temperature at SFO")
10
12
14
0 10 20 30
MeanTemperatureC°
2014 Average Daily Temperature at SFO

SELECT features FROM scope WHERE
(status == implemented)
SumUp
Source
Data Source
Variable
Operations
Projection
Filtering
Ordering
Grouping
Limiting
Target
Variable
Data Source
Plot
Adapters
CSV/Excel
Memory
DBMS

Thanks for your attention
Feedback
Source is available at: github.com/javadch
Binary is available at: http://fusion.cs.uni-jena.de/javad/quis/

An Itroduction to the QUIS Language

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