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 * to you under the Apache License, Version 2.0 (the
 * "License"); you may not use this file except in compliance
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 *   http://www.apache.org/licenses/LICENSE-2.0
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package org.apache.iceberg.spark.functions;

import org.apache.iceberg.util.DateTimeUtil;
import org.apache.spark.sql.catalyst.InternalRow;
import org.apache.spark.sql.connector.catalog.functions.BoundFunction;
import org.apache.spark.sql.types.DataType;
import org.apache.spark.sql.types.DataTypes;
import org.apache.spark.sql.types.TimestampNTZType;
import org.apache.spark.sql.types.TimestampType;

/**
 * A Spark function implementation for the Iceberg hour transform.
 *
 * 

Example usage: {@code SELECT system.hours('source_col')}. */ public class HoursFunction extends UnaryUnboundFunction { @Override protected BoundFunction doBind(DataType valueType) { if (valueType instanceof TimestampType) { return new TimestampToHoursFunction(); } else if (valueType instanceof TimestampNTZType) { return new TimestampNtzToHoursFunction(); } else { throw new UnsupportedOperationException( "Expected value to be timestamp: " + valueType.catalogString()); } } @Override public String description() { return name() + "(col) - Call Iceberg's hour transform\n" + " col :: source column (must be timestamp)"; } @Override public String name() { return "hours"; } public static class TimestampToHoursFunction extends BaseScalarFunction { // magic method used in codegen public static int invoke(long micros) { return DateTimeUtil.microsToHours(micros); } @Override public String name() { return "hours"; } @Override public DataType[] inputTypes() { return new DataType[] {DataTypes.TimestampType}; } @Override public DataType resultType() { return DataTypes.IntegerType; } @Override public String canonicalName() { return "iceberg.hours(timestamp)"; } @Override public Integer produceResult(InternalRow input) { // return null for null input to match what Spark does in codegen return input.isNullAt(0) ? null : invoke(input.getLong(0)); } } public static class TimestampNtzToHoursFunction extends BaseScalarFunction { // magic method used in codegen public static int invoke(long micros) { return DateTimeUtil.microsToHours(micros); } @Override public String name() { return "hours"; } @Override public DataType[] inputTypes() { return new DataType[] {DataTypes.TimestampNTZType}; } @Override public DataType resultType() { return DataTypes.IntegerType; } @Override public String canonicalName() { return "iceberg.hours(timestamp_ntz)"; } @Override public Integer produceResult(InternalRow input) { // return null for null input to match what Spark does in codegen return input.isNullAt(0) ? null : invoke(input.getLong(0)); } } }





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