grundprinzip commented on code in PR #38300:
URL: https://github.com/apache/spark/pull/38300#discussion_r1000995972
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connector/connect/src/main/scala/org/apache/spark/sql/connect/service/SparkConnectStreamHandler.scala:
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@@ -59,19 +61,48 @@ class SparkConnectStreamHandler(responseObserver:
StreamObserver[Response]) exte
private def processRows(clientId: String, rows: DataFrame) = {
val timeZoneId = SQLConf.get.sessionLocalTimeZone
- val schema =
- ByteString.copyFrom(ArrowUtils.toArrowSchema(rows.schema,
timeZoneId).toByteArray)
-
- val textSchema = rows.schema.fields.map(f => f.name).mkString("|")
- val data = rows.collect().map(x => x.toSeq.mkString("|")).mkString("\n")
- val bbb = proto.Response.CSVBatch.newBuilder
- .setRowCount(-1)
- .setData(textSchema ++ "\n" ++ data)
- .build()
- val response =
proto.Response.newBuilder().setClientId(clientId).setCsvBatch(bbb).build()
- // Send all the data
- responseObserver.onNext(response)
+ // Only process up to 10MB of data.
+ val sb = new StringBuilder
+ var rowCount = 0
+ rows.toJSON
+ .collect()
+ .foreach(row => {
+ if (sb.size + row.size > MAX_BATCH_SIZE) {
+ val response = proto.Response.newBuilder().setClientId(clientId)
+ val batch = proto.Response.JSONBatch
+ .newBuilder()
+ .setData(ByteString.copyFromUtf8(sb.toString()))
+ .setRowCount(rowCount)
+ .build()
+ response.setJsonBatch(batch)
+ responseObserver.onNext(response.build())
+ // When the data is sent, we have to clear the batch data and reset
the row count for
+ // this batch.
+ sb.clear()
Review Comment:
yes! Thank you
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