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Self-closing tag support : no longer accurate #394

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HyukjinKwon merged 1 commit into from
Jul 2, 2019
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Self-closing tag support : no longer accurate #394

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2 changes: 1 addition & 1 deletion README.md
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Expand Up @@ -52,7 +52,7 @@ $SPARK_HOME/bin/spark-shell --packages com.databricks:spark-xml_2.12:0.5.0
This package allows reading XML files in local or distributed filesystem as [Spark DataFrames](https://spark.apache.org/docs/1.6.0/sql-programming-guide.html).
When reading files the API accepts several options:
* `path`: Location of files. Similar to Spark can accept standard Hadoop globbing expressions.
* `rowTag`: The row tag of your xml files to treat as a row. For example, in this xml `<books> <book><book> ...</books>`, the appropriate value would be `book`. Default is `ROW`. At the moment, rows containing self closing xml tags are not supported.
* `rowTag`: The row tag of your xml files to treat as a row. For example, in this xml `<books> <book><book> ...</books>`, the appropriate value would be `book`. Default is `ROW`.
* `samplingRatio`: Sampling ratio for inferring schema (0.0 ~ 1). Default is 1. Possible types are `StructType`, `ArrayType`, `StringType`, `LongType`, `DoubleType`, `BooleanType`, `TimestampType` and `NullType`, unless user provides a schema for this.
* `excludeAttribute` : Whether you want to exclude attributes in elements or not. Default is false.
* `treatEmptyValuesAsNulls` : (DEPRECATED: use `nullValue` set to `""`) Whether you want to treat whitespaces as a null value. Default is false
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