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A table format for huge analytic datasets
There is a newer version: 1.0.0.8
/*
 * 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.parquet;

import java.math.BigDecimal;
import java.math.BigInteger;
import java.util.List;
import java.util.Map;
import java.util.WeakHashMap;
import org.apache.avro.Conversion;
import org.apache.avro.Conversions;
import org.apache.avro.LogicalType;
import org.apache.avro.LogicalTypes;
import org.apache.avro.Schema;
import org.apache.avro.generic.GenericData;
import org.apache.avro.generic.GenericFixed;
import org.apache.avro.specific.SpecificData;
import org.apache.commons.math3.util.Pair;
import org.apache.iceberg.avro.AvroSchemaVisitor;
import org.apache.iceberg.avro.UUIDConversion;
import org.apache.iceberg.relocated.com.google.common.base.Objects;
import org.apache.iceberg.relocated.com.google.common.base.Preconditions;
import org.apache.iceberg.relocated.com.google.common.collect.Lists;
import org.apache.iceberg.types.TypeUtil;

class ParquetAvro {

  private ParquetAvro() {
  }

  static Schema parquetAvroSchema(Schema avroSchema) {
    return AvroSchemaVisitor.visit(avroSchema, new ParquetDecimalSchemaConverter());
  }

  static class ParquetDecimal extends LogicalType {
    private static final String NAME = "parquet-decimal";

    private final int precision;
    private final int scale;

    ParquetDecimal(int precision, int scale) {
      super(NAME);
      this.precision = precision;
      this.scale = scale;
    }

    @Override
    public String getName() {
      return NAME;
    }

    int precision() {
      return precision;
    }

    int scale() {
      return scale;
    }

    @Override
    public Schema addToSchema(Schema schema) {
      super.addToSchema(schema);
      schema.addProp("precision", String.valueOf(precision));
      schema.addProp("scale", String.valueOf(scale));
      return schema;
    }

    @Override
    public void validate(Schema schema) {
      super.validate(schema);
      switch (schema.getType()) {
        case INT:
          Preconditions.checkArgument(precision <= 9,
              "Int cannot hold decimal precision: %s", precision);
          break;
        case LONG:
          Preconditions.checkArgument(precision <= 18,
              "Long cannot hold decimal precision: %s", precision);
          break;
        case FIXED:
          break;
        default:
          throw new IllegalArgumentException("Invalid base type for decimal: " + schema);
      }
      Preconditions.checkArgument(scale >= 0, "Scale %s cannot be negative", scale);
      Preconditions.checkArgument(scale <= precision,
          "Scale %s cannot be less than precision %s", scale, precision);
    }
  }

  static {
    LogicalTypes.register(ParquetDecimal.NAME, schema -> {
      int precision = Integer.parseInt(schema.getProp("precision"));
      int scale = Integer.parseInt(schema.getProp("scale"));
      return new ParquetDecimal(precision, scale);
    });
  }

  private static class IntDecimalConversion extends Conversion {
    @Override
    public Class getConvertedType() {
      return BigDecimal.class;
    }

    @Override
    public String getLogicalTypeName() {
      return ParquetDecimal.NAME;
    }

    @Override
    public BigDecimal fromInt(Integer value, Schema schema, LogicalType type) {
      return BigDecimal.valueOf(value, ((ParquetDecimal) type).scale());
    }

    @Override
    public Integer toInt(BigDecimal value, Schema schema, LogicalType type) {
      return value.unscaledValue().intValue();
    }
  }

  private static class LongDecimalConversion extends Conversion {
    @Override
    public Class getConvertedType() {
      return BigDecimal.class;
    }

    @Override
    public String getLogicalTypeName() {
      return ParquetDecimal.NAME;
    }

    @Override
    public BigDecimal fromLong(Long value, Schema schema, LogicalType type) {
      return BigDecimal.valueOf(value, ((ParquetDecimal) type).scale());
    }

    @Override
    public Long toLong(BigDecimal value, Schema schema, LogicalType type) {
      return value.unscaledValue().longValue();
    }
  }

  private static class FixedDecimalConversion extends Conversions.DecimalConversion {
    private final WeakHashMap, LogicalType> decimalsByScale;

    private FixedDecimalConversion() {
      this.decimalsByScale = new WeakHashMap<>();
    }

    @Override
    public String getLogicalTypeName() {
      return ParquetDecimal.NAME;
    }

    @Override
    public BigDecimal fromFixed(GenericFixed value, Schema schema, LogicalType type) {
      ParquetDecimal dec = (ParquetDecimal) type;
      return new BigDecimal(new BigInteger(value.bytes()), dec.scale());
    }

    @Override
    public GenericFixed toFixed(BigDecimal value, Schema schema, LogicalType type) {
      ParquetDecimal dec = (ParquetDecimal) type;
      Pair key = new Pair<>(dec.precision(), dec.scale());
      return super.toFixed(value, schema,
          decimalsByScale.computeIfAbsent(key, k -> LogicalTypes.decimal(k.getFirst(), k.getSecond())));
    }
  }

  static final GenericData DEFAULT_MODEL = new SpecificData() {
    private final Conversion fixedDecimalConversion = new FixedDecimalConversion();
    private final Conversion intDecimalConversion = new IntDecimalConversion();
    private final Conversion longDecimalConversion = new LongDecimalConversion();
    private final Conversion uuidConversion = new UUIDConversion();

    {
      addLogicalTypeConversion(fixedDecimalConversion);
      addLogicalTypeConversion(uuidConversion);
    }

    @Override
    @SuppressWarnings("unchecked")
    public  Conversion getConversionByClass(Class datumClass, LogicalType logicalType) {
      if (logicalType == null) {
        return null;
      }

      if (logicalType instanceof ParquetDecimal) {
        ParquetDecimal decimal = (ParquetDecimal) logicalType;
        if (decimal.precision() <= 9) {
          return (Conversion) intDecimalConversion;
        } else if (decimal.precision() <= 18) {
          return (Conversion) longDecimalConversion;
        } else {
          return (Conversion) fixedDecimalConversion;
        }
      } else if ("uuid".equals(logicalType.getName())) {
        return (Conversion) uuidConversion;
      }
      return super.getConversionByClass(datumClass, logicalType);
    }

    @Override
    @SuppressWarnings("unchecked")
    public Conversion