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Allow custom persistence level for internal graphframes dataframes #245

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Allow custom persistence level for internal graphframes dataframes #245

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15 changes: 8 additions & 7 deletions src/main/scala/org/graphframes/GraphFrame.scala
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Original file line number Diff line number Diff line change
Expand Up @@ -41,7 +41,8 @@ import org.graphframes.pattern._
*/
class GraphFrame private(
@transient private val _vertices: DataFrame,
@transient private val _edges: DataFrame) extends Logging with Serializable {
@transient private val _edges: DataFrame,
@transient private val _storageLevel: StorageLevel = StorageLevel.MEMORY_AND_DISK) extends Logging with Serializable {

import GraphFrame._

Expand Down Expand Up @@ -480,7 +481,7 @@ class GraphFrame private(
.distinct()
.sortWithinPartitions(ID)
.withColumn(LONG_ID, monotonically_increasing_id())
.persist(StorageLevel.MEMORY_AND_DISK)
.persist(_storageLevel)
vertices.select(col(ID), nestAsCol(vertices, ATTR))
.join(withLongIds, ID)
.select(LONG_ID, ID, ATTR)
Expand Down Expand Up @@ -605,7 +606,7 @@ object GraphFrame extends Serializable with Logging {
* destination vertex IDs. All other columns are treated as edge attributes.
* @return New [[GraphFrame]] instance
*/
def apply(vertices: DataFrame, edges: DataFrame): GraphFrame = {
def apply(vertices: DataFrame, edges: DataFrame, storageLevel: StorageLevel = StorageLevel.MEMORY_AND_DISK): GraphFrame = {
require(vertices.columns.contains(ID),
s"Vertex ID column '$ID' missing from vertex DataFrame, which has columns: "
+ vertices.columns.mkString(","))
Expand All @@ -616,7 +617,7 @@ object GraphFrame extends Serializable with Logging {
s"Destination vertex ID column '$DST' missing from edge DataFrame, which has columns: "
+ edges.columns.mkString(","))

new GraphFrame(vertices, edges)
new GraphFrame(vertices, edges, storageLevel)
}

/**
Expand All @@ -631,12 +632,12 @@ object GraphFrame extends Serializable with Logging {
*
* @group conversions
*/
def fromEdges(e: DataFrame): GraphFrame = {
def fromEdges(e: DataFrame, storageLevel: StorageLevel = StorageLevel.MEMORY_AND_DISK): GraphFrame = {
val srcs = e.select(e("src").as("id"))
val dsts = e.select(e("dst").as("id"))
val v = srcs.unionAll(dsts).distinct
v.persist(StorageLevel.MEMORY_AND_DISK)
apply(v, e)
v.persist(storageLevel)
apply(v, e, storageLevel)
}

/**
Expand Down