rdblue commented on a change in pull request #2660:
URL: https://github.com/apache/iceberg/pull/2660#discussion_r652026839



##########
File path: 
spark3/src/main/java/org/apache/iceberg/spark/source/SparkMicroBatchStream.java
##########
@@ -0,0 +1,314 @@
+/*
+ * 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.source;
+
+import java.io.BufferedWriter;
+import java.io.IOException;
+import java.io.InputStream;
+import java.io.OutputStream;
+import java.io.OutputStreamWriter;
+import java.nio.charset.StandardCharsets;
+import java.util.ArrayList;
+import java.util.List;
+import org.apache.hadoop.fs.Path;
+import org.apache.iceberg.CombinedScanTask;
+import org.apache.iceberg.DataOperations;
+import org.apache.iceberg.FileScanTask;
+import org.apache.iceberg.MicroBatches;
+import org.apache.iceberg.MicroBatches.MicroBatch;
+import org.apache.iceberg.Schema;
+import org.apache.iceberg.SchemaParser;
+import org.apache.iceberg.SerializableTable;
+import org.apache.iceberg.Snapshot;
+import org.apache.iceberg.SnapshotSummary;
+import org.apache.iceberg.Table;
+import org.apache.iceberg.io.CloseableIterable;
+import org.apache.iceberg.io.FileIO;
+import org.apache.iceberg.io.InputFile;
+import org.apache.iceberg.io.OutputFile;
+import org.apache.iceberg.relocated.com.google.common.base.Preconditions;
+import org.apache.iceberg.relocated.com.google.common.collect.Lists;
+import org.apache.iceberg.spark.Spark3Util;
+import org.apache.iceberg.spark.SparkReadOptions;
+import org.apache.iceberg.spark.source.SparkBatchScan.ReadTask;
+import org.apache.iceberg.spark.source.SparkBatchScan.ReaderFactory;
+import org.apache.iceberg.util.PropertyUtil;
+import org.apache.iceberg.util.SnapshotUtil;
+import org.apache.iceberg.util.TableScanUtil;
+import org.apache.spark.api.java.JavaSparkContext;
+import org.apache.spark.broadcast.Broadcast;
+import org.apache.spark.sql.connector.read.InputPartition;
+import org.apache.spark.sql.connector.read.PartitionReaderFactory;
+import org.apache.spark.sql.connector.read.streaming.MicroBatchStream;
+import org.apache.spark.sql.connector.read.streaming.Offset;
+import org.apache.spark.sql.util.CaseInsensitiveStringMap;
+import org.slf4j.Logger;
+import org.slf4j.LoggerFactory;
+
+import static org.apache.iceberg.TableProperties.SPLIT_LOOKBACK;
+import static org.apache.iceberg.TableProperties.SPLIT_LOOKBACK_DEFAULT;
+import static org.apache.iceberg.TableProperties.SPLIT_OPEN_FILE_COST;
+import static org.apache.iceberg.TableProperties.SPLIT_OPEN_FILE_COST_DEFAULT;
+import static org.apache.iceberg.TableProperties.SPLIT_SIZE;
+import static org.apache.iceberg.TableProperties.SPLIT_SIZE_DEFAULT;
+
+public class SparkMicroBatchStream implements MicroBatchStream {
+  private static final Logger LOG = 
LoggerFactory.getLogger(SparkMicroBatchStream.class);
+
+  private final JavaSparkContext sparkContext;
+  private final Table table;
+  private final boolean caseSensitive;
+  private final Schema expectedSchema;
+  private final Long splitSize;
+  private final Integer splitLookback;
+  private final Long splitOpenFileCost;
+  private final boolean localityPreferred;
+  private final StreamingOffset initialOffset;
+
+  SparkMicroBatchStream(JavaSparkContext sparkContext,
+                        Table table, boolean caseSensitive, Schema 
expectedSchema,
+                        CaseInsensitiveStringMap options, String 
checkpointLocation) {
+    this.sparkContext = sparkContext;
+    this.table = table;
+    this.caseSensitive = caseSensitive;
+    this.expectedSchema = expectedSchema;
+    this.localityPreferred = Spark3Util.isLocalityEnabled(table.io(), 
table.location(), options);
+
+    long tableSplitSize = PropertyUtil.propertyAsLong(table.properties(), 
SPLIT_SIZE, SPLIT_SIZE_DEFAULT);
+    this.splitSize = Spark3Util.propertyAsLong(options, 
SparkReadOptions.SPLIT_SIZE, tableSplitSize);
+
+    int tableSplitLookback = PropertyUtil.propertyAsInt(table.properties(), 
SPLIT_LOOKBACK, SPLIT_LOOKBACK_DEFAULT);
+    this.splitLookback = Spark3Util.propertyAsInt(options, 
SparkReadOptions.LOOKBACK, tableSplitLookback);
+
+    long tableSplitOpenFileCost = PropertyUtil.propertyAsLong(
+        table.properties(), SPLIT_OPEN_FILE_COST, 
SPLIT_OPEN_FILE_COST_DEFAULT);
+    this.splitOpenFileCost = Spark3Util.propertyAsLong(options, 
SPLIT_OPEN_FILE_COST, tableSplitOpenFileCost);
+
+    InitialOffsetStore initialOffsetStore = 
InitialOffsetStore.getInstance(table, checkpointLocation);
+    this.initialOffset = getOrWriteInitialOffset(initialOffsetStore);
+  }
+
+  @Override
+  public Offset latestOffset() {

Review comment:
       If you don't want to implement rate limiting, then the default should 
not be to process the entire table to start. Instead, it should be to process 
only incremental changes in the oldest snapshot. We can add the ability to 
process the entire table after rate limiting is implemented.




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