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   * 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.beam.sdk.schemas.logicaltypes;
  
  import static org.apache.beam.vendor.guava.v32_1_2_jre.com.google.common.base.MoreObjects.firstNonNull;
  import static org.apache.beam.vendor.guava.v32_1_2_jre.com.google.common.base.Preconditions.checkArgument;
  
  import java.math.BigDecimal;
  import java.math.MathContext;
  import org.apache.beam.model.pipeline.v1.RunnerApi;
  import org.apache.beam.model.pipeline.v1.SchemaApi;
  import org.apache.beam.sdk.schemas.Schema;
  import org.apache.beam.sdk.schemas.Schema.FieldType;
  import org.apache.beam.sdk.values.Row;
  
  /** Fixed precision numeric types used to represent jdbc NUMERIC and DECIMAL types. */
  public class FixedPrecisionNumeric extends PassThroughLogicalType<BigDecimal> {
    // TODO(https://github.com/apache/beam/issues/23373) promote this URN to schema.proto once logical
    // types with arguments are fully supported and the implementation of this logical type can thus
    // be considered standardized.
    public static final String IDENTIFIER = "beam:logical_type:fixed_decimal:v1";
  
    // TODO(https://github.com/apache/beam/issues/23374) implement beam:logical_type:decimal:v1 as
    // CoderLogicalType (once CoderLogicalType is implemented).
    /**
     * Identifier of the unspecified precision numeric type. It corresponds to Java SDK's {@link
     * FieldType#DECIMAL}. It is the underlying representation type of FixedPrecisionNumeric logical
     * type in order to be compatible with existing Java field types.
     */
    public static final String BASE_IDENTIFIER;
  
    private static final Schema SCHEMA;
  
    static {
      BASE_IDENTIFIER =
          SchemaApi.LogicalTypes.Enum.DECIMAL
              .getValueDescriptor()
              .getOptions()
              .getExtension(RunnerApi.beamUrn);
      SCHEMA = Schema.builder().addInt32Field("precision").addInt32Field("scale").build();
    }
  
    private final int precision;
    private final int scale;
  
    /**
     * Create a FixedPrecisionNumeric instance with specified precision and scale. ``precision=-1``
     * indicates unspecified precision.
     */
    public static FixedPrecisionNumeric of(int precision, int scale) {
      return new FixedPrecisionNumeric(precision, scale);
    }
  
    /** Create a FixedPrecisionNumeric instance with specified scale and unspecified precision. */
    public static FixedPrecisionNumeric of(int scale) {
      return of(-1, scale);
    }
  
    /** Create a FixedPrecisionNumeric instance with specified argument row. */
    public static FixedPrecisionNumeric of(Row row) {
      checkArgument(
          row.getSchema().assignableTo(SCHEMA),
          "Row has an incompatible schema to construct the logical type object: %s",
          row.getSchema());
  
      final Integer precision = row.getInt32("precision");
      final Integer scale = row.getInt32("scale");
      checkArgument(
          precision != null && scale != null,
          "precision and scale cannot be null for FixedPrecisionNumeric arguments.");
      // firstNonNull is used to cast precision and scale to @NonNull input
      return of(firstNonNull(precision, -1), firstNonNull(scale, 0));
    }
  
    private FixedPrecisionNumeric(int precision, int scale) {
      super(
          IDENTIFIER,
          FieldType.row(SCHEMA),
          Row.withSchema(SCHEMA).addValues(precision, scale).build(),
          FieldType.DECIMAL);
      this.precision = precision;
      this.scale = scale;
    }
  
    @Override
    public BigDecimal toInputType(BigDecimal base) {
      if (precision != -1) {
        // check value not causing overflow when precision is fixed.
        checkArgument(
            base == null
                || (base.precision() <= precision && base.scale() <= scale)
                || base.round(new MathContext(precision)).compareTo(base) == 0,
            "Expected BigDecimal base to be null or have precision <= %s (was %s), scale <= %s (was %s)",
            precision,
            (base == null) ? null : base.precision(),
            scale,
            (base == null) ? null : base.scale());
      }
      return base;
    }
  }
  