Explain — explain • SparkR

Print the logical and physical Catalyst plans to the console for debugging.

Usage

explain(x, ...)

# S4 method for class 'SparkDataFrame'
explain(x, extended = FALSE)

# S4 method for class 'StreamingQuery'
explain(x, extended = FALSE)

Arguments

x: a SparkDataFrame or a StreamingQuery.
...: further arguments to be passed to or from other methods.
extended: Logical. If extended is FALSE, prints only the physical plan.

Note

explain since 1.4.0

explain(StreamingQuery) since 2.2.0

See also

Other SparkDataFrame functions: SparkDataFrame-class, agg(), alias(), arrange(), as.data.frame(), attach,SparkDataFrame-method, broadcast(), cache(), checkpoint(), coalesce(), collect(), colnames(), coltypes(), createOrReplaceTempView(), crossJoin(), cube(), dapply(), dapplyCollect(), describe(), dim(), distinct(), drop(), dropDuplicates(), dropna(), dtypes(), except(), exceptAll(), filter(), first(), gapply(), gapplyCollect(), getNumPartitions(), group_by(), head(), hint(), histogram(), insertInto(), intersect(), intersectAll(), isLocal(), isStreaming(), join(), limit(), localCheckpoint(), merge(), mutate(), ncol(), nrow(), persist(), printSchema(), randomSplit(), rbind(), rename(), repartition(), repartitionByRange(), rollup(), sample(), saveAsTable(), schema(), select(), selectExpr(), show(), showDF(), storageLevel(), str(), subset(), summary(), take(), toJSON(), union(), unionAll(), unionByName(), unpersist(), unpivot(), with(), withColumn(), withWatermark(), write.df(), write.jdbc(), write.json(), write.orc(), write.parquet(), write.stream(), write.text()

Other StreamingQuery methods: awaitTermination(), isActive(), lastProgress(), queryName(), status(), stopQuery()

Examples

if (FALSE) { # \dontrun{
sparkR.session()
path <- "path/to/file.json"
df <- read.json(path)
explain(df, TRUE)
} # }
if (FALSE)  explain(sq)  # \dontrun{}