RussellSpitzer commented on code in PR #3983:
URL: https://github.com/apache/iceberg/pull/3983#discussion_r851500705


##########
spark/v3.2/spark/src/main/java/org/apache/iceberg/spark/actions/Spark3ZOrderUDF.java:
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@@ -0,0 +1,257 @@
+/*
+ * 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.
+ */
+
+package org.apache.iceberg.spark.actions;
+
+import java.io.IOException;
+import java.io.ObjectInputStream;
+import java.io.Serializable;
+import java.nio.ByteBuffer;
+import java.nio.charset.CharsetEncoder;
+import java.nio.charset.StandardCharsets;
+import org.apache.iceberg.util.ZOrderByteUtils;
+import org.apache.spark.sql.Column;
+import org.apache.spark.sql.expressions.UserDefinedFunction;
+import org.apache.spark.sql.functions;
+import org.apache.spark.sql.types.BinaryType;
+import org.apache.spark.sql.types.BooleanType;
+import org.apache.spark.sql.types.ByteType;
+import org.apache.spark.sql.types.DataType;
+import org.apache.spark.sql.types.DataTypes;
+import org.apache.spark.sql.types.DateType;
+import org.apache.spark.sql.types.DoubleType;
+import org.apache.spark.sql.types.FloatType;
+import org.apache.spark.sql.types.IntegerType;
+import org.apache.spark.sql.types.LongType;
+import org.apache.spark.sql.types.ShortType;
+import org.apache.spark.sql.types.StringType;
+import org.apache.spark.sql.types.TimestampType;
+import scala.collection.Seq;
+
+class Spark3ZOrderUDF implements Serializable {
+  private static final byte[] PRIMITIVE_EMPTY = new 
byte[ZOrderByteUtils.PRIMITIVE_BUFFER_SIZE];
+
+  /**
+   * Every Spark task runs iteratively on a rows in a single thread so 
ThreadLocal should protect from
+   * concurrent access to any of these structures.
+   */
+  private transient ThreadLocal<ByteBuffer> outputBuffer;
+  private transient ThreadLocal<byte[][]> inputHolder;
+  private transient ThreadLocal<ByteBuffer>[] inputBuffers;
+  private transient ThreadLocal<CharsetEncoder> encoder;
+
+  private final int numCols;
+
+  private int inputCol = 0;
+  private int totalOutputBytes = 0;
+  private final int varTypeSize;
+  private final int maxOutputSize;
+
+  Spark3ZOrderUDF(int numCols, int varTypeSize, int maxOutputSize) {
+    this.numCols = numCols;
+    this.varTypeSize = varTypeSize;
+    this.maxOutputSize = maxOutputSize;

Review Comment:
   woops, yeah I changed this now so that on deserialization (readObject) we 
set totalOutputBytes to maxOutputBytes if it is larger than maxOutputBytes.



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