I'm using dbplot v0.3.3 with hive (version Hive 1.2.1000.2.6.5.0-292).
db_compute_boxplot is using percentile rather than percentile_approx, this limits the function to integers only.
Here is some sample code
library(DBI)
library(odbc)
library(dplyr)
library(dbplyr)
library(ggplot2)
library(dbplot)
con <- dbConnect(odbc(), "QoE", user = "foo",
pwd = "bar", bigint = "numeric")
Write Iris to Hive table removing '.' from col names
foo<-iris
colnames(foo)<-gsub(".", "_", colnames(foo), fixed = TRUE)
dbWriteTable(con,"iris",foo,overwrite=TRUE)
Run db_compute_boxplot - throws data type error for UDAF Percentile
db_iris<-tbl(con,in_schema("default","iris"))
db_iris %>% db_compute_boxplot(species,sepal_length)
Error in new_result(connection@ptr, statement) : nanodbc/nanodbc.cpp:1344: HY000: [Simba][Hardy] (80) Syntax or semantic analysis error thrown in server while executing query. Error message from server:
Error while compiling statement:
FAILED: NoMatchingMethodException
No matching method for class org.apache.hadoop.hive.ql.udf.UDAFPercentile with (double, double). Possible choices: _FUNC_(bigint, array<double>) _FUNC_(bigint, double)
Run again casting Sepal_Length to Integer
db_iris %>% db_compute_boxplot(species,as.integer(sepal_length)) %>%
ggplot()+geom_boxplot(aes(x=species,
middle=middle,
lower=lower,
upper=upper,
ymin=ymin,
ymax=ymax,
color=species),stat='identity')

I'm using dbplot v0.3.3 with hive (version Hive 1.2.1000.2.6.5.0-292).
db_compute_boxplot is using percentile rather than percentile_approx, this limits the function to integers only.
Here is some sample code
Write Iris to Hive table removing '.' from col names
Run db_compute_boxplot - throws data type error for UDAF Percentile
Run again casting Sepal_Length to Integer