CODEWITHSUNDEEP
rparquet
Mark Neal
Mark Neal

Reputation: 1204

R: Reading first n rows from parquet file?

I realise parquet is a column format, but with large files, sometimes you don't want to read it all to memory in R before filtering, and the first 1000 or so rows may be enough for testing. I don't see an option in the read parquet documentation here.

I see a solution for pandas here, and an option for c# here, both of which are not obvious to me how they might translate to R. Suggestions?

Upvotes: 5

Views: 4037

Answers (3)

Mark Neal
Mark Neal

Reputation: 1204

Thanks to Jon and Dan for pointing in the right direction.

arrow::open_dataset() allows lazy evaluation (docs here), which you can then get the head() from (but not slice()), or filter(). This process is faster, and uses much less peak ram. Example below.

# https://stackoverflow.com/questions/73131505/r-reading-first-n-rows-from-parquet-file

library(dplyr)
library(arrow)
library(tictoc) # optional, used to time results

tic("read all of large parquet file")
my_animals <- read_parquet("data/my_animals.parquet")
toc() # slow and uses heaps of ram

tic("read parquet and write mini version")
my_animals <- open_dataset("data/my_animals.parquet") 
my_animals # this is a lazy object

my_animals %>% 
  #slice(1000L) %>% # doesn't work
  head(n=1000L) %>% 
  # filter(YEAROFBIRTH >= 2010) %>% # also works
  compute() %>% 
  write_parquet("data/my_animals_mini.parquet") # optional
toc() # much faster, much less peak ram used

Upvotes: 6

Moohan
Moohan

Reputation: 1011

You can use the as_data_frame argument of read_parquet to return the data as an 'Arrow Table' object. You can then use {dplyr} functions on this object, followed by dplyr::collect (collect will return the tibble object, whereas compute merely forces the computation).

library(dplyr)
library(arrow)

my_animals <- read_parquet("data/my_animals.parquet", as_data_frame = FALSE) |>
  slice_head(n = 1000) |>
  collect()

This is readable, fast and memory efficient!

See https://arrow.apache.org/docs/r/articles/data_wrangling.html for more info.

Upvotes: 2

korayp
korayp

Reputation: 37

I published this simple package for practical usage. https://github.com/mkparkin/Rinvent feel free to check if that can help. There is a parameter called "sample" which brings sample rows. also it can read "delta" files as well

readparquetR(pathtoread="C:/users/...", format="delta", sample=10) or readparquetR(pathtoread="C:/users/...", format="parquet", sample=10)

Upvotes: 0

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