ArityException with cookbook sample 4 #315
Description
- I have read through the quick start and installation sections of the README.
Info
| Info | Value |
|---|---|
| Operating System | macOS Big Sur 11.2.1 |
| Geni Version | 0.0.38 |
| Spark Java lib Version | org.apache.spark/spark-XXX_2.12 "3.1.0" |
| JDK | openjdk version "1.8.0_282" |
| Spark Version | 3.0.2 |
Problem / Steps to reproduce
Standard lein new geni …, bitnami/spark 3.0.2 docker, then used code from geni cookbook chapter 4.
The following code from cookbook example 4 fails with ArityException:
(def null-counts
(-> raw-weather-mar-2012
(g/agg (->> (g/column-names raw-weather-mar-2012)
(map #(vector % (g/null-count %)))
(into {})))
(g/first)))
Exception is
Execution error (AnalysisException) at org.apache.spark.sql.catalyst.analysis.package$AnalysisErrorAt/failAnalysis (package.scala:42).
cannot resolve '`Precip. Amount (mm)`' given input columns: [Climate ID, Date/Time (LST), Day, Dew Point Temp (°C), Dew Point Temp Flag, Hmdx, Hmdx Flag, Latitude (y), Longitude (x), Month, Precip. Amount (mm), Precip. Amount Flag, Rel Hum (%), Rel Hum Flag, Station Name, Stn Press (kPa), Stn Press Flag, Temp (°C), Temp Flag, Time (LST), Visibility (km), Visibility Flag, Weather, Wind Chill, Wind Chill Flag, Wind Dir (10s deg), Wind Dir Flag, Wind Spd (km/h), Wind Spd Flag, Year];
'Aggregate [sum(cast(cast(isnull(Latitude (y)#13272) as int) as bigint)) AS Latitude (y)#16363L, sum(cast(cast(isnull(Stn Press Flag#13295) as int) as bigint)) AS Stn Press Flag#16364L, sum(cast(cast(isnull(Temp (°C)#13280) as int) as bigint)) AS Temp (°C)#16365L, sum(cast(cast(isnull(Wind Spd (km/h)#13290) as int) as bigint)) AS Wind Spd (km/h)#16366L, sum(cast(cast(isnull(Rel Hum Flag#13285) as int) as bigint)) AS Rel Hum Flag#16367L, sum(cast(cast(isnull(Date/Time (LST)#13275) as int) as bigint)) AS Date/Time (LST)#16368L, sum(cast(cast(isnull(Visibility Flag#13293) as int) as bigint)) AS Visibility Flag#16369L, sum(cast(cast(isnull(Visibility (km)#13292) as int) as bigint)) AS Visibility (km)#16370L, sum(cast(isnull('Precip. Amount (mm)) as int)) AS Precip. Amount (mm)#16371, sum(cast(cast(isnull(Dew Point Temp Flag#13283) as int) as bigint)) AS Dew Point Temp Flag#16372L, sum(cast(isnull('Precip. Amount Flag) as int)) AS Precip. Amount Flag#16373, sum(cast(cast(isnull(Station Name#13273) as int) as bigint)) AS Station Name#16374L, sum(cast(cast(isnull(Wind Chill Flag#13299) as int) as bigint)) AS Wind Chill Flag#16375L, sum(cast(cast(isnull(Longitude (x)#13271) as int) as bigint)) AS Longitude (x)#16376L, sum(cast(cast(isnull(Time (LST)#13279) as int) as bigint)) AS Time (LST)#16377L, sum(cast(cast(isnull(Dew Point Temp (°C)#13282) as int) as bigint)) AS Dew Point Temp (°C)#16378L, sum(cast(cast(isnull(Rel Hum (%)#13284) as int) as bigint)) AS Rel Hum (%)#16379L, sum(cast(cast(isnull(Wind Dir Flag#13289) as int) as bigint)) AS Wind Dir Flag#16380L, sum(cast(cast(isnull(Climate ID#13274) as int) as bigint)) AS Climate ID#16381L, sum(cast(cast(isnull(Wind Dir (10s deg)#13288) as int) as bigint)) AS Wind Dir (10s deg)#16382L, sum(cast(cast(isnull(Stn Press (kPa)#13294) as int) as bigint)) AS Stn Press (kPa)#16383L, sum(cast(cast(isnull(Year#13276) as int) as bigint)) AS Year#16384L, sum(cast(cast(isnull(Temp Flag#13281) as int) as bigint)) AS Temp Flag#16385L, sum(cast(cast(isnull(Hmdx#13296) as int) as bigint)) AS Hmdx#16386L, ... 6 more fields]
+- Project [Longitude (x)#13211 AS Longitude (x)#13271, Latitude (y)#13212 AS Latitude (y)#13272, Station Name#13213 AS Station Name#13273, Climate ID#13214 AS Climate ID#13274, Date/Time (LST)#13215 AS Date/Time (LST)#13275, Year#13216 AS Year#13276, Month#13217 AS Month#13277, Day#13218 AS Day#13278, Time (LST)#13219 AS Time (LST)#13279, Temp (°C)#13220 AS Temp (°C)#13280, Temp Flag#13221 AS Temp Flag#13281, Dew Point Temp (°C)#13222 AS Dew Point Temp (°C)#13282, Dew Point Temp Flag#13223 AS Dew Point Temp Flag#13283, Rel Hum (%)#13224 AS Rel Hum (%)#13284, Rel Hum Flag#13225 AS Rel Hum Flag#13285, Precip. Amount (mm)#13226 AS Precip. Amount (mm)#13286, Precip. Amount Flag#13227 AS Precip. Amount Flag#13287, Wind Dir (10s deg)#13228 AS Wind Dir (10s deg)#13288, Wind Dir Flag#13229 AS Wind Dir Flag#13289, Wind Spd (km/h)#13230 AS Wind Spd (km/h)#13290, Wind Spd Flag#13231 AS Wind Spd Flag#13291, Visibility (km)#13232 AS Visibility (km)#13292, Visibility Flag#13233 AS Visibility Flag#13293, Stn Press (kPa)#13234 AS Stn Press (kPa)#13294, ... 6 more fields]
+- Relation[Longitude (x)#13211,Latitude (y)#13212,Station Name#13213,Climate ID#13214,Date/Time (LST)#13215,Year#13216,Month#13217,Day#13218,Time (LST)#13219,Temp (°C)#13220,Temp Flag#13221,Dew Point Temp (°C)#13222,Dew Point Temp Flag#13223,Rel Hum (%)#13224,Rel Hum Flag#13225,Precip. Amount (mm)#13226,Precip. Amount Flag#13227,Wind Dir (10s deg)#13228,Wind Dir Flag#13229,Wind Spd (km/h)#13230,Wind Spd Flag#13231,Visibility (km)#13232,Visibility Flag#13233,Stn Press (kPa)#13234,... 6 more fields] csv
Also manual select with column named "Precip. Amount (mm)" does not work. It seems that they have backticks around them internally.
I tried to rename all columns with
(g/to-df weather-data
"Longitude (x)" "Latitude (y)" "Station Name" "Climate ID" "Date/Time (LST)" "Year" "Month" "Day"
"Time (LST)" "Temp (°C)" "Temp Flag" "Dew Point Temp (°C)" "Dew Point Temp Flag" "Rel Hum (%)"
"Rel Hum Flag" "Precip. Amount (mm)" "Precip. Amount Flag" "Wind Dir (10s deg)" "Wind Dir Flag"
"Wind Spd (km/h)" "Wind Spd Flag" "Visibility (km)" "Visibility Flag" "Stn Press (kPa)" "Stn Press Flag"
"Hmdx" "Hmdx Flag" "Wind Chill" "Wind Chill Flag" "Weather"))
but the problem persists, still backticks.
Crashes: (g/select raw-weather-mar-2012 "Precip. Amount (mm)")
Works: (g/select raw-weather-mar-2012 "`Precip. Amount (mm)`")
(g/column-names (g/select raw-weather-mar-2012 "`Precip. Amount (mm)`"))
yields "Precip. Amount (mm)" without backticks.
This lead me to believe that there is some issue in geni or spark with these column names.