This is an Athena method for dbplyr function db_copy_to to create an Athena table from a data.frame.
db_copy_to.AthenaConnection(
con,
table,
values,
...,
partition = NULL,
s3_location = NULL,
file_type = c("csv", "tsv", "parquet"),
compress = FALSE,
max_batch = Inf,
overwrite = FALSE,
append = FALSE,
types = NULL,
temporary = TRUE,
unique_indexes = NULL,
indexes = NULL,
analyze = TRUE,
in_transaction = FALSE
)A dbConnect object, as returned by dbConnect()
A character string specifying a table name. Names will be automatically quoted so you can use any sequence of characters, not just any valid bare table name.
A data.frame to write to the database.
other parameters currently not supported in noctua
Partition Athena table (needs to be a named list or vector) for example: c(var1 = "2019-20-13")
s3 bucket to store Athena table, must be set as a s3 uri for example ("s3://mybucket/data/")
What file type to store data.frame on s3, noctua currently supports ["tsv", "csv", "parquet"]. Default delimited file type is "tsv", in previous versions
of noctua (=< 1.4.0) file type "csv" was used as default. The reason for the change is that columns containing Array/JSON format cannot be written to
Athena due to the separating value ",". This would cause issues with AWS Athena.
Note: "parquet" format is supported by the arrow package and it will need to be installed to utilise the "parquet" format.
FALSE | TRUE To determine if to compress file.type. If file type is ["csv", "tsv"] then "gzip" compression is used, for file type "parquet"
"snappy" compression is used.
Split the data frame by max number of rows i.e. 100,000 so that multiple files can be uploaded into AWS S3. By default when compression
is set to TRUE and file.type is "csv" or "tsv" max.batch will split data.frame into 20 batches. This is to help the
performance of AWS Athena when working with files compressed in "gzip" format. max.batch will not split the data.frame
when loading file in parquet format. For more information please go to link
Allows overwriting the destination table. Cannot be TRUE if append is also TRUE.
Allow appending to the destination table. Cannot be TRUE if overwrite is also TRUE. Existing Athena DDL file type will be retained
and used when uploading data to AWS Athena. If parameter file.type doesn't match AWS Athena DDL file type a warning message will be created
notifying user and noctua will use the file type for the Athena DDL.
Additional field types used to override derived types.
if TRUE, will create a temporary table that is local to this connection and will be automatically deleted when the connection expires
a list of character vectors. Each element of the list will create a new unique index over the specified column(s). Duplicate rows will result in failure.
a list of character vectors. Each element of the list will create a new index.
if TRUE (the default), will automatically ANALYZE the new table so that the query optimiser has useful information.
Should the table creation be wrapped in a transaction? This typically makes things faster, but you may want to suppress if the database doesn't support transactions, or you're wrapping in a transaction higher up (and your database doesn't support nested transactions.)
db_copy_to returns table name
if (FALSE) {
# Note:
# - Require AWS Account to run below example.
# - Different connection methods can be used please see `noctua::dbConnect` documnentation
library(DBI)
library(dplyr)
# Demo connection to Athena using profile name
con <- dbConnect(noctua::athena())
# List existing tables in Athena
dbListTables(con)
# Write data.frame to Athena table
copy_to(con, mtcars,
s3_location = "s3://mybucket/data/"
)
# Checking if uploaded table exists in Athena
dbExistsTable(con, "mtcars")
# Write Athena table from tbl_sql
athena_mtcars <- tbl(con, "mtcars")
mtcars_filter <- athena_mtcars %>% filter(gear >= 4)
copy_to(con, mtcars_filter)
# Checking if uploaded table exists in Athena
dbExistsTable(con, "mtcars_filter")
# Disconnect from Athena
dbDisconnect(con)
}