tbl_cache: Cache a Spark Table
In rstudio/sparklyr: R Interface to Apache Spark
tbl_cache R Documentation
Cache a Spark Table
Description
Force a Spark table with name name to be loaded into memory.
Operations on cached tables should normally (although not always)
be more performant than the same operation performed on an uncached
table.
Usage
tbl_cache(sc, name, force = TRUE)
Arguments
sc
A spark_connection.
name
The table name.
force
Force the data to be loaded into memory? This is accomplished
by calling the count API on the associated Spark DataFrame.
rstudio/sparklyr documentation built on Sept. 18, 2024, 6:10 a.m.
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| tbl_cache | R Documentation |
Cache a Spark Table
Description
Force a Spark table with name name to be loaded into memory.
Operations on cached tables should normally (although not always)
be more performant than the same operation performed on an uncached
table.
Usage
tbl_cache(sc, name, force = TRUE)
Arguments
sc |
A |
name |
The table name. |
force |
Force the data to be loaded into memory? This is accomplished
by calling the |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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