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[SPARK-43105][CONNECT] Abbreviate Bytes and Strings in proto message #40750
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@@ -0,0 +1,84 @@ | ||
/* | ||
* Licensed to the Apache Software Foundation (ASF) under one or more | ||
* contributor license agreements. See the NOTICE file distributed with | ||
* this work for additional information regarding copyright ownership. | ||
* The ASF licenses this file to You under the Apache License, Version 2.0 | ||
* (the "License"); you may not use this file except in compliance with | ||
* the License. You may obtain a copy of the License at | ||
* | ||
* http://www.apache.org/licenses/LICENSE-2.0 | ||
* | ||
* Unless required by applicable law or agreed to in writing, software | ||
* distributed under the License is distributed on an "AS IS" BASIS, | ||
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
* See the License for the specific language governing permissions and | ||
* limitations under the License. | ||
*/ | ||
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package org.apache.spark.sql.connect.common | ||
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import scala.collection.JavaConverters._ | ||
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import com.google.protobuf.{ByteString, Message} | ||
import com.google.protobuf.Descriptors.FieldDescriptor | ||
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private[connect] object ProtoUtils { | ||
private val format = java.text.NumberFormat.getInstance() | ||
private val MAX_BYTES_SIZE = 8 | ||
private val MAX_STRING_SIZE = 1024 | ||
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def abbreviate(message: Message): Message = { | ||
val builder = message.toBuilder | ||
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message.getAllFields.asScala.iterator.foreach { | ||
case (field: FieldDescriptor, string: String) | ||
if field.getJavaType == FieldDescriptor.JavaType.STRING && string != null => | ||
val size = string.size | ||
if (size > MAX_STRING_SIZE) { | ||
builder.setField(field, createString(string.take(MAX_STRING_SIZE), size)) | ||
} else { | ||
builder.setField(field, string) | ||
} | ||
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case (field: FieldDescriptor, byteString: ByteString) | ||
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if field.getJavaType == FieldDescriptor.JavaType.BYTE_STRING && byteString != null => | ||
val size = byteString.size | ||
if (size > MAX_BYTES_SIZE) { | ||
val prefix = Array.tabulate(MAX_BYTES_SIZE)(byteString.byteAt) | ||
builder.setField(field, createByteString(prefix, size)) | ||
} else { | ||
builder.setField(field, byteString) | ||
} | ||
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case (field: FieldDescriptor, byteArray: Array[Byte]) | ||
if field.getJavaType == FieldDescriptor.JavaType.BYTE_STRING && byteArray != null => | ||
val size = byteArray.size | ||
if (size > MAX_BYTES_SIZE) { | ||
val prefix = byteArray.take(MAX_BYTES_SIZE) | ||
builder.setField(field, createByteString(prefix, size)) | ||
} else { | ||
builder.setField(field, byteArray) | ||
} | ||
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// TODO(SPARK-43117): should also support 1, repeated msg; 2, map<xxx, msg> | ||
case (field: FieldDescriptor, msg: Message) | ||
if field.getJavaType == FieldDescriptor.JavaType.MESSAGE && msg != null => | ||
builder.setField(field, abbreviate(msg)) | ||
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case (field: FieldDescriptor, value: Any) => builder.setField(field, value) | ||
} | ||
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builder.build() | ||
} | ||
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private def createByteString(prefix: Array[Byte], size: Int): ByteString = { | ||
ByteString.copyFrom( | ||
List( | ||
ByteString.copyFrom(prefix), | ||
ByteString.copyFromUtf8(s"[truncated(size=${format.format(size)})]")).asJava) | ||
} | ||
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private def createString(prefix: String, size: Int): String = { | ||
s"$prefix[truncated(size=${format.format(size)})]" | ||
} | ||
} |
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@@ -32,7 +32,7 @@ import org.apache.spark.internal.Logging | |
import org.apache.spark.sql.{DataFrame, Dataset, SparkSession} | ||
import org.apache.spark.sql.catalyst.InternalRow | ||
import org.apache.spark.sql.connect.artifact.SparkConnectArtifactManager | ||
import org.apache.spark.sql.connect.common.DataTypeProtoConverter | ||
import org.apache.spark.sql.connect.common.{DataTypeProtoConverter, ProtoUtils} | ||
import org.apache.spark.sql.connect.common.LiteralValueProtoConverter.toLiteralProto | ||
import org.apache.spark.sql.connect.config.Connect.CONNECT_GRPC_ARROW_MAX_BATCH_SIZE | ||
import org.apache.spark.sql.connect.planner.SparkConnectPlanner | ||
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@@ -56,7 +56,9 @@ class SparkConnectStreamHandler(responseObserver: StreamObserver[ExecutePlanResp | |
// Add debug information to the query execution so that the jobs are traceable. | ||
try { | ||
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. I removed this try-catch for test purpose (A PyTorch UT failed due to OOM before), will add it back to be more conservative There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. I think it's fine to remove it (since you added it to address this specific case before?). I don't mind removing it There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. yes, I added it for that PyTorch test case, in which the size of UDF is 47mb and cause OOM but I am not very sure whether there are some other unknown edge cases that can also cause failure, so I personally prefer adding the try-catch back before merge it. |
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val debugString = | ||
Utils.redact(session.sessionState.conf.stringRedactionPattern, v.toString) | ||
Utils.redact( | ||
session.sessionState.conf.stringRedactionPattern, | ||
ProtoUtils.abbreviate(v).toString) | ||
session.sparkContext.setLocalProperty( | ||
"callSite.short", | ||
s"Spark Connect - ${StringUtils.abbreviate(debugString, 128)}") | ||
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