rdblue commented on a change in pull request #1352:
URL: https://github.com/apache/iceberg/pull/1352#discussion_r475154152



##########
File path: data/src/main/java/org/apache/iceberg/data/GenericReader.java
##########
@@ -0,0 +1,292 @@
+/*
+ * 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.data;
+
+import java.io.Serializable;
+import java.util.Collection;
+import java.util.List;
+import java.util.Map;
+import java.util.Set;
+import java.util.function.Function;
+import org.apache.iceberg.Accessor;
+import org.apache.iceberg.CombinedScanTask;
+import org.apache.iceberg.DataFile;
+import org.apache.iceberg.DeleteFile;
+import org.apache.iceberg.FileContent;
+import org.apache.iceberg.FileScanTask;
+import org.apache.iceberg.MetadataColumns;
+import org.apache.iceberg.Schema;
+import org.apache.iceberg.StructLike;
+import org.apache.iceberg.TableScan;
+import org.apache.iceberg.avro.Avro;
+import org.apache.iceberg.data.avro.DataReader;
+import org.apache.iceberg.data.orc.GenericOrcReader;
+import org.apache.iceberg.data.parquet.GenericParquetReaders;
+import org.apache.iceberg.deletes.Deletes;
+import org.apache.iceberg.expressions.Evaluator;
+import org.apache.iceberg.expressions.Expression;
+import org.apache.iceberg.expressions.Expressions;
+import org.apache.iceberg.io.CloseableGroup;
+import org.apache.iceberg.io.CloseableIterable;
+import org.apache.iceberg.io.CloseableIterator;
+import org.apache.iceberg.io.FileIO;
+import org.apache.iceberg.io.InputFile;
+import org.apache.iceberg.orc.ORC;
+import org.apache.iceberg.parquet.Parquet;
+import org.apache.iceberg.relocated.com.google.common.collect.Iterables;
+import org.apache.iceberg.relocated.com.google.common.collect.Lists;
+import org.apache.iceberg.relocated.com.google.common.collect.Maps;
+import org.apache.iceberg.relocated.com.google.common.collect.Multimap;
+import org.apache.iceberg.relocated.com.google.common.collect.Multimaps;
+import org.apache.iceberg.relocated.com.google.common.collect.Sets;
+import org.apache.iceberg.types.TypeUtil;
+import org.apache.iceberg.types.Types;
+import org.apache.iceberg.util.PartitionUtil;
+import org.apache.iceberg.util.ProjectStructLike;
+import org.apache.iceberg.util.StructLikeSet;
+
+class GenericReader implements Serializable {
+  private static final Schema POS_DELETE_SCHEMA = new Schema(
+      MetadataColumns.DELETE_FILE_PATH,
+      MetadataColumns.DELETE_FILE_POS);
+
+  private final FileIO io;
+  private final Schema projection;
+  private final boolean caseSensitive;
+  private final boolean reuseContainers;
+
+  GenericReader(TableScan scan, boolean reuseContainers) {
+    this.io = scan.table().io();
+    this.projection = scan.schema();
+    this.caseSensitive = scan.isCaseSensitive();
+    this.reuseContainers = reuseContainers;
+  }
+
+  CloseableIterator<Record> open(CloseableIterable<CombinedScanTask> tasks) {
+    Iterable<FileScanTask> fileTasks = 
Iterables.concat(Iterables.transform(tasks, CombinedScanTask::files));
+    return CloseableIterable.concat(Iterables.transform(fileTasks, 
this::open)).iterator();
+  }
+
+  public CloseableIterable<Record> open(CombinedScanTask task) {
+    return new CombinedTaskIterable(task);
+  }
+
+  public CloseableIterable<Record> open(FileScanTask task) {
+    List<DeleteFile> posDeletes = Lists.newArrayList();
+    List<DeleteFile> eqDeletes = Lists.newArrayList();
+    for (DeleteFile delete : task.deletes()) {
+      switch (delete.content()) {
+        case POSITION_DELETES:
+          posDeletes.add(delete);
+          break;
+        case EQUALITY_DELETES:
+          eqDeletes.add(delete);
+          break;
+        default:
+          throw new UnsupportedOperationException("Unknown delete file 
content: " + delete.content());
+      }
+    }
+
+    Schema fileProjection = fileProjection(!posDeletes.isEmpty());
+
+    CloseableIterable<Record> records = openFile(task, fileProjection);
+    records = applyPosDeletes(records, fileProjection, task.file().path(), 
posDeletes, task.file());
+    records = applyEqDeletes(records, fileProjection, eqDeletes, task.file());
+    records = applyResidual(records, fileProjection, task.residual());
+
+    return records;

Review comment:
       I think this is okay for now, but we should do the truncation for Spark. 
All we should need to do is truncate the reported size, since the read schema 
we produce will put additional columns at the end.




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