PARQUET-2261: Implement SizeStatistics

parquet-column/src/main/java/org/apache/parquet/column/impl/ColumnValueCollector.java

@@ -0,0 +1,193 @@
+/*
+ * 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.parquet.column.impl;
+
+import java.io.IOException;
+import java.io.OutputStream;
+import java.util.OptionalDouble;
+import java.util.OptionalLong;
+import org.apache.parquet.column.ColumnDescriptor;
+import org.apache.parquet.column.ParquetProperties;
+import org.apache.parquet.column.statistics.SizeStatistics;
+import org.apache.parquet.column.statistics.Statistics;
+import org.apache.parquet.column.values.bloomfilter.AdaptiveBlockSplitBloomFilter;
+import org.apache.parquet.column.values.bloomfilter.BlockSplitBloomFilter;
+import org.apache.parquet.column.values.bloomfilter.BloomFilter;
+import org.apache.parquet.column.values.bloomfilter.BloomFilterWriter;
+import org.apache.parquet.io.api.Binary;
+
+// An internal class to collect column values to build column statistics and bloom filter.
+class ColumnValueCollector {
+
+  private final ColumnDescriptor path;
+  private BloomFilterWriter bloomFilterWriter;
+  private BloomFilter bloomFilter;
+  private Statistics<?> statistics;
+  private SizeStatistics.Builder sizeStatisticsBuilder;
+
+  ColumnValueCollector(ColumnDescriptor path, BloomFilterWriter bloomFilterWriter, ParquetProperties props) {
+    this.path = path;
+    resetPageStatistics();
+    initBloomFilter(bloomFilterWriter, props);
+  }
+
+  void resetPageStatistics() {
+    this.statistics = Statistics.createStats(path.getPrimitiveType());
+    this.sizeStatisticsBuilder = SizeStatistics.newBuilder(
+        path.getPrimitiveType(), path.getMaxRepetitionLevel(), path.getMaxDefinitionLevel());
+  }
+
+  void writeNull(int repetitionLevel, int definitionLevel) {
+    statistics.incrementNumNulls();
+    sizeStatisticsBuilder.add(repetitionLevel, definitionLevel);
+  }
+
+  void write(boolean value, int repetitionLevel, int definitionLevel) {
+    statistics.updateStats(value);
+    sizeStatisticsBuilder.add(repetitionLevel, definitionLevel);
+  }
+
+  void write(int value, int repetitionLevel, int definitionLevel) {
+    statistics.updateStats(value);
+    sizeStatisticsBuilder.add(repetitionLevel, definitionLevel);
+    bloomFilter.insertHash(bloomFilter.hash(value));
+  }
+
+  void write(long value, int repetitionLevel, int definitionLevel) {
+    statistics.updateStats(value);
+    sizeStatisticsBuilder.add(repetitionLevel, definitionLevel);
+    bloomFilter.insertHash(bloomFilter.hash(value));
+  }
+
+  void write(float value, int repetitionLevel, int definitionLevel) {
+    statistics.updateStats(value);
+    sizeStatisticsBuilder.add(repetitionLevel, definitionLevel);
+    bloomFilter.insertHash(bloomFilter.hash(value));
+  }
+
+  void write(double value, int repetitionLevel, int definitionLevel) {
+    statistics.updateStats(value);
+    sizeStatisticsBuilder.add(repetitionLevel, definitionLevel);
+    bloomFilter.insertHash(bloomFilter.hash(value));
+  }
+
+  void write(Binary value, int repetitionLevel, int definitionLevel) {
+    statistics.updateStats(value);
+    sizeStatisticsBuilder.add(repetitionLevel, definitionLevel, value);
+    bloomFilter.insertHash(bloomFilter.hash(value));
+  }
+
+  void initBloomFilter(BloomFilterWriter bloomFilterWriter, ParquetProperties props) {
+    this.bloomFilterWriter = bloomFilterWriter;
+    if (bloomFilterWriter == null) {
+      this.bloomFilter = new BloomFilter() {
+        @Override
+        public void writeTo(OutputStream out) throws IOException {}
+
+        @Override
+        public void insertHash(long hash) {}
+
+        @Override
+        public boolean findHash(long hash) {
+          return false;
+        }
+
+        @Override
+        public int getBitsetSize() {
+          return 0;
+        }
+
+        @Override
+        public long hash(int value) {
+          return 0;
+        }
+
+        @Override
+        public long hash(long value) {
+          return 0;
+        }
+
+        @Override
+        public long hash(double value) {
+          return 0;
+        }
+
+        @Override
+        public long hash(float value) {
+          return 0;
+        }
+
+        @Override
+        public long hash(Binary value) {
+          return 0;
+        }
+
+        @Override
+        public long hash(Object value) {
+          return 0;
+        }
+
+        @Override
+        public HashStrategy getHashStrategy() {
+          return null;
+        }
+
+        @Override
+        public Algorithm getAlgorithm() {
+          return null;
+        }
+
+        @Override
+        public Compression getCompression() {
+          return null;
+        }
+      };
+      return;
+    }
+
+    int maxBloomFilterSize = props.getMaxBloomFilterBytes();
+    OptionalLong ndv = props.getBloomFilterNDV(path);
+    OptionalDouble fpp = props.getBloomFilterFPP(path);
+    // If user specify the column NDV, we construct Bloom filter from it.
+    if (ndv.isPresent()) {
+      int optimalNumOfBits = BlockSplitBloomFilter.optimalNumOfBits(ndv.getAsLong(), fpp.getAsDouble());
+      this.bloomFilter = new BlockSplitBloomFilter(optimalNumOfBits / 8, maxBloomFilterSize);
+    } else if (props.getAdaptiveBloomFilterEnabled(path)) {
+      int numCandidates = props.getBloomFilterCandidatesCount(path);
+      this.bloomFilter =
+          new AdaptiveBlockSplitBloomFilter(maxBloomFilterSize, numCandidates, fpp.getAsDouble(), path);
+    } else {
+      this.bloomFilter = new BlockSplitBloomFilter(maxBloomFilterSize, maxBloomFilterSize);
+    }
+  }
+
+  void finalizeColumnChunk() {
+    if (bloomFilterWriter != null) {
+      bloomFilterWriter.writeBloomFilter(bloomFilter);
+    }
+  }
+
+  Statistics<?> getStatistics() {
+    return statistics;
+  }
+
+  SizeStatistics getSizeStatistics() {
+    return sizeStatisticsBuilder.build();
+  }
+}