viirya commented on a change in pull request #30412:
URL: https://github.com/apache/spark/pull/30412#discussion_r530824544
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File path: docs/sql-ref-datatypes.md
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@@ -37,6 +37,8 @@ Spark SQL and DataFrames support the following data types:
- `DecimalType`: Represents arbitrary-precision signed decimal numbers.
Backed internally by `java.math.BigDecimal`. A `BigDecimal` consists of an
arbitrary precision integer unscaled value and a 32-bit integer scale.
* String type
- `StringType`: Represents character string values.
+ - `VarcharType(length)`: A variant of `StringType` which has a length
limitation. Data writing will fail if the input string exceeds the length
limitation. Note: this type can only be used in table schema, not
functions/operators.
+ - `CharType(length)`: A variant of `VarcharType(length)` which is fixed
length. Reading column of type `VarcharType(n)` always returns string values of
length `n`. Char type column comparison will pad the short one to the longer
length.
Review comment:
Reading column of type `VarcharType(n)` -> Reading column of type
`CharType(n)`?
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