Reputation: 41
I have been trying to get data from Athena through the paws package into R. So far I have successfully gotten the query to run and return some results. But I get the default max of 1000. I've seen some solutions out there for the Boto3 library in Python, but even though the syntax is similar, I can call a pagination function like the one Boto3 has.
Anyone knows how to do pagination, or how to use the next token argument of the function?
Here is what my code is looking like:
install.packages('paws')
install.packages('tidyverse')
athena <- paws::athena()
query <- athena$start_query_execution(QueryString = '
SELECT *
FROM db.table
LIMIT 100000
',
ResultConfiguration = list(OutputLocation =
"s3://aws-athena..."
)
)
result <- athena$get_query_execution(QueryExecutionId = query$QueryExecutionId)
output <- athena$get_query_results(QueryExecutionId = query$QueryExecutionId)
data <- dplyr::as_tibble(t(matrix(unlist(output$ResultSet$Rows),nrow = length(unlist(output$ResultSet$Rows[1])))))
colnames(data) <- as.character(unlist(data[1, ]))
data <- data[-1, ]
Upvotes: 1
Views: 2423
Reputation: 23
This is late, but it does answer the original post. You can use the NextToken
attribute from get_query_results()
to get all of the results from your query. I have not benchmarked it, but have noted it in simple examples as being faster since it is not establishing a connection to the entire Athena 'data base' in the way using dbConnect()
with RAthena::athena()
or noctura::athena()
will. The following loop will get all of your query results into your tibble:
# starting with the OP results processing
output <- athena$get_query_results(QueryExecutionId = query$QueryExecutionId)
data <- dplyr::as_tibble(t(matrix(unlist(output$ResultSet$Rows),
nrow = length(unlist(output$ResultSet$Rows[1])))))
colnames(data) <- as.character(unlist(data[1, ]))
data <- data[-1, ]
# adding this loop will get the rest of your query results
while(length(output$NextToken) == 1) {
output <- athena$get_query_results(QueryExecutionId = query$QueryExecutionId,
NextToken = output$NextToken)
tmp <- dplyr::as_tibble(t(matrix(unlist(output$ResultSet$Rows),
nrow = length(unlist(output$ResultSet$Rows[1])))))
colnames(tmp) <- colnames(data)
data <- rbind(data, tmp)
}
Upvotes: 1
Reputation: 264
You might want to consider the noctua
package. This package connects R to Athena using paws SDK (DBI Interface). It solves the issue you are having with the limitation of 1000 rows. So your above query will look like:
library(DBI)
con = dbConnect(noctua::athena(), s3_staging_dir = "s3://aws-athena...")
dbGetQuery(con, "SELECT * FROM db.table LIMIT 100000")
The package also offers integration into dplyr
:
library(DBI)
library(dplyr)
con = dbConnect(noctua::athena(),
schema_name = "db",
s3_staging_dir = "s3://aws-athena...")
tbl(con, "table"))
Upvotes: 0