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Avoid writing NaN and Infinity with json format table #24558

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Avoid writing NaN and Infinity with json format table #24558

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13 changes: 12 additions & 1 deletion lib/trino-hive-formats/src/main/java/io/trino/hive/formats/line/json/JsonSerializer.java
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Original file line number Diff line number Diff line change
Expand Up @@ -21,6 +21,8 @@
import io.trino.hive.formats.line.Column;
import io.trino.hive.formats.line.LineSerializer;
import io.trino.spi.Page;
import io.trino.spi.StandardErrorCode;
import io.trino.spi.TrinoException;
import io.trino.spi.block.Block;
import io.trino.spi.block.SqlMap;
import io.trino.spi.block.SqlRow;
Expand Down Expand Up @@ -123,7 +125,16 @@ else if (REAL.equals(type)) {
return (generator, block, position) -> generator.writeNumber(REAL.getFloat(block, position));
}
else if (DOUBLE.equals(type)) {
return (generator, block, position) -> generator.writeNumber(DOUBLE.getDouble(block, position));
return (generator, block, position) -> {
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What about REAL type?

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'NaN' and 'Infinity' getting casted as Double it seems. It goes through double datatype.

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@ebyhr ebyhr Dec 23, 2024 •
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I don't think so. Please try CREATE TABLE test_nan WITH (format = 'json') AS SELECT real 'NaN' a;.

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okay

Double value = DOUBLE.getDouble(block, position);
System.out.println(value);
if (!Double.isNaN(value) && !Double.isInfinite(value)) {
generator.writeNumber(value);
}
else {
throw new TrinoException(StandardErrorCode.INVALID_JSON_LITERAL, "Invalid value to Insert " + value);
}
};
}
else if (DATE.equals(type)) {
return (generator, block, position) -> generator.writeString(HiveFormatUtils.formatHiveDate(block, position));
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