npawar commented on a change in pull request #5934:
URL: https://github.com/apache/incubator-pinot/pull/5934#discussion_r481519977



##########
File path: 
pinot-core/src/main/java/org/apache/pinot/core/segment/processing/framework/SegmentReducer.java
##########
@@ -0,0 +1,151 @@
+/**
+ * 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.pinot.core.segment.processing.framework;
+
+import java.io.File;
+import java.io.IOException;
+import java.util.Iterator;
+import org.apache.avro.file.DataFileWriter;
+import org.apache.avro.generic.GenericData;
+import org.apache.avro.generic.GenericDatumWriter;
+import org.apache.pinot.core.segment.processing.collector.Collector;
+import org.apache.pinot.core.segment.processing.collector.CollectorFactory;
+import org.apache.pinot.core.segment.processing.utils.SegmentProcessorUtils;
+import org.apache.pinot.spi.data.Schema;
+import org.apache.pinot.spi.data.readers.GenericRow;
+import org.apache.pinot.spi.data.readers.RecordReader;
+import org.apache.pinot.spi.data.readers.RecordReaderFactory;
+import org.slf4j.Logger;
+import org.slf4j.LoggerFactory;
+
+
+/**
+ * Reducer phase of the SegmentProcessorFramework
+ * Reads the avro files in the input directory and creates output avro files 
in the reducer output directory.
+ * The avro files in the input directory are expected to contain data for only 
1 partition
+ * Performs operations on that partition data as follows:
+ * - concatenation/rollup of records
+ * - split
+ * - TODO: dedup
+ */
+public class SegmentReducer {
+
+  private static final Logger LOGGER = 
LoggerFactory.getLogger(SegmentReducer.class);
+  private static final int MAX_RECORDS_TO_COLLECT = 5_000_000;
+
+  private final File _reducerInputDir;
+  private final File _reducerOutputDir;
+
+  private final String _reducerId;
+  private final Schema _pinotSchema;
+  private final org.apache.avro.Schema _avroSchema;
+  private final Collector _collector;
+  private final int _numRecordsPerPart;
+
+  public SegmentReducer(String reducerId, File reducerInputDir, 
SegmentReducerConfig reducerConfig,
+      File reducerOutputDir) {
+    _reducerInputDir = reducerInputDir;
+    _reducerOutputDir = reducerOutputDir;
+
+    _reducerId = reducerId;
+    _pinotSchema = reducerConfig.getPinotSchema();
+    _avroSchema = 
SegmentProcessorUtils.convertPinotSchemaToAvroSchema(_pinotSchema);
+    _collector = 
CollectorFactory.getCollector(reducerConfig.getCollectorConfig(), _pinotSchema);
+    _numRecordsPerPart = reducerConfig.getNumRecordsPerPart();
+    LOGGER.info("Initialized reducer with id: {}, input dir: {}, output dir: 
{}, collector: {}, numRecordsPerPart: {}",
+        _reducerId, _reducerInputDir, _reducerOutputDir, 
_collector.getClass(), _numRecordsPerPart);
+  }
+
+  /**
+   * Reads the avro files in the input directory.
+   * Performs configured operations and outputs to other avro file(s) in the 
reducer output directory.
+   */
+  public void reduce()
+      throws Exception {
+
+    int part = 0;
+    for (File inputFile : _reducerInputDir.listFiles()) {
+
+      RecordReader avroRecordReader = RecordReaderFactory
+          
.getRecordReaderByClass("org.apache.pinot.plugin.inputformat.avro.AvroRecordReader",
 inputFile,
+              _pinotSchema.getColumnNames(), null);
+
+      while (avroRecordReader.hasNext()) {
+        GenericRow next = avroRecordReader.next();
+
+        // Aggregations
+        _collector.collect(next);
+
+        // Exceeded max records allowed to collect. Flush
+        if (_collector.size() == MAX_RECORDS_TO_COLLECT) {

Review comment:
       `Should we use _numRecordsPerPart here so that once the collector 
collects enough records, we flush them` - I had initially done it this way. But 
then I noticed while testing, that if user sets a very low numRecordsPerPart, 
we will aggregate less and flush very frequently. Having a bigger 
MAX_RECORDS_TO_COLLECT allows for more aggregation




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