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SparkR (version 2.3.0)

explain: Explain

Description

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

Usage

explain(x, ...)

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

# S4 method for 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.

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, dapplyCollect, dapply, describe, dim, distinct, dropDuplicates, dropna, drop, dtypes, except, filter, first, gapplyCollect, gapply, getNumPartitions, group_by, head, hint, histogram, insertInto, intersect, isLocal, isStreaming, join, limit, localCheckpoint, merge, mutate, ncol, nrow, persist, printSchema, randomSplit, rbind, registerTempTable, rename, repartition, rollup, sample, saveAsTable, schema, selectExpr, select, showDF, show, storageLevel, str, subset, summary, take, toJSON, unionByName, union, unpersist, withColumn, withWatermark, with, write.df, write.jdbc, write.json, write.orc, write.parquet, write.stream, write.text

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

Examples

Run this code
# NOT RUN {
sparkR.session()
path <- "path/to/file.json"
df <- read.json(path)
explain(df, TRUE)
# }
# NOT RUN {
 explain(sq) 
# }

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