Databricks spark-xml when reading tags ending in “/>” return values are null
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I'm using the latest version of spark-xml (0.4.1) with scala 11, when I read some xml that contains tags ending with "/>" the corresponding values are null, fallow the example:
XML:
<Clients>
<Client ID="1" name="teste1" age="10">
<Operation ID="1" name="operation1">
</Operation>
<Operation ID="2" name="operation2">
</Operation>
</Client>
<Client ID="2" name="teste2" age="20"/>
<Client ID="3" name="teste3" age="30">
<Operation ID="1" name="operation1">
</Operation>
<Operation ID="2" name="operation2">
</Operation>
</Client>
</Clients>
Dataframe:
+----+------+----+--------------------+
| _ID| _name|_age| Operation|
+----+------+----+--------------------+
| 1|teste1| 10|[[1,operation1], ...|
|null| null|null| null|
+----+------+----+--------------------+
Code:
Dataset<Row> clients = sparkSession.sqlContext().read()
.format("com.databricks.spark.xml")
.option("rowTag", "Client")
.schema(getSchemaClient())
.load(dirtorio);
clients.show(10);
public StructType getSchemaClient() {
return new StructType(
new StructField {
new StructField("_ID", DataTypes.StringType, true, Metadata.empty()),
new StructField("_name", DataTypes.StringType, true, Metadata.empty()),
new StructField("_age", DataTypes.StringType, true, Metadata.empty()),
new StructField("Operation", DataTypes.createArrayType(this.getSchemaOperation()), true, Metadata.empty()) });
}
public StructType getSchemaOperation() {
return new StructType(new StructField {
new StructField("_ID", DataTypes.StringType, true, Metadata.empty()),
new StructField("_name", DataTypes.StringType, true, Metadata.empty()),
});
}
apache-spark xml-parsing databricks
add a comment |
I'm using the latest version of spark-xml (0.4.1) with scala 11, when I read some xml that contains tags ending with "/>" the corresponding values are null, fallow the example:
XML:
<Clients>
<Client ID="1" name="teste1" age="10">
<Operation ID="1" name="operation1">
</Operation>
<Operation ID="2" name="operation2">
</Operation>
</Client>
<Client ID="2" name="teste2" age="20"/>
<Client ID="3" name="teste3" age="30">
<Operation ID="1" name="operation1">
</Operation>
<Operation ID="2" name="operation2">
</Operation>
</Client>
</Clients>
Dataframe:
+----+------+----+--------------------+
| _ID| _name|_age| Operation|
+----+------+----+--------------------+
| 1|teste1| 10|[[1,operation1], ...|
|null| null|null| null|
+----+------+----+--------------------+
Code:
Dataset<Row> clients = sparkSession.sqlContext().read()
.format("com.databricks.spark.xml")
.option("rowTag", "Client")
.schema(getSchemaClient())
.load(dirtorio);
clients.show(10);
public StructType getSchemaClient() {
return new StructType(
new StructField {
new StructField("_ID", DataTypes.StringType, true, Metadata.empty()),
new StructField("_name", DataTypes.StringType, true, Metadata.empty()),
new StructField("_age", DataTypes.StringType, true, Metadata.empty()),
new StructField("Operation", DataTypes.createArrayType(this.getSchemaOperation()), true, Metadata.empty()) });
}
public StructType getSchemaOperation() {
return new StructType(new StructField {
new StructField("_ID", DataTypes.StringType, true, Metadata.empty()),
new StructField("_name", DataTypes.StringType, true, Metadata.empty()),
});
}
apache-spark xml-parsing databricks
add a comment |
I'm using the latest version of spark-xml (0.4.1) with scala 11, when I read some xml that contains tags ending with "/>" the corresponding values are null, fallow the example:
XML:
<Clients>
<Client ID="1" name="teste1" age="10">
<Operation ID="1" name="operation1">
</Operation>
<Operation ID="2" name="operation2">
</Operation>
</Client>
<Client ID="2" name="teste2" age="20"/>
<Client ID="3" name="teste3" age="30">
<Operation ID="1" name="operation1">
</Operation>
<Operation ID="2" name="operation2">
</Operation>
</Client>
</Clients>
Dataframe:
+----+------+----+--------------------+
| _ID| _name|_age| Operation|
+----+------+----+--------------------+
| 1|teste1| 10|[[1,operation1], ...|
|null| null|null| null|
+----+------+----+--------------------+
Code:
Dataset<Row> clients = sparkSession.sqlContext().read()
.format("com.databricks.spark.xml")
.option("rowTag", "Client")
.schema(getSchemaClient())
.load(dirtorio);
clients.show(10);
public StructType getSchemaClient() {
return new StructType(
new StructField {
new StructField("_ID", DataTypes.StringType, true, Metadata.empty()),
new StructField("_name", DataTypes.StringType, true, Metadata.empty()),
new StructField("_age", DataTypes.StringType, true, Metadata.empty()),
new StructField("Operation", DataTypes.createArrayType(this.getSchemaOperation()), true, Metadata.empty()) });
}
public StructType getSchemaOperation() {
return new StructType(new StructField {
new StructField("_ID", DataTypes.StringType, true, Metadata.empty()),
new StructField("_name", DataTypes.StringType, true, Metadata.empty()),
});
}
apache-spark xml-parsing databricks
I'm using the latest version of spark-xml (0.4.1) with scala 11, when I read some xml that contains tags ending with "/>" the corresponding values are null, fallow the example:
XML:
<Clients>
<Client ID="1" name="teste1" age="10">
<Operation ID="1" name="operation1">
</Operation>
<Operation ID="2" name="operation2">
</Operation>
</Client>
<Client ID="2" name="teste2" age="20"/>
<Client ID="3" name="teste3" age="30">
<Operation ID="1" name="operation1">
</Operation>
<Operation ID="2" name="operation2">
</Operation>
</Client>
</Clients>
Dataframe:
+----+------+----+--------------------+
| _ID| _name|_age| Operation|
+----+------+----+--------------------+
| 1|teste1| 10|[[1,operation1], ...|
|null| null|null| null|
+----+------+----+--------------------+
Code:
Dataset<Row> clients = sparkSession.sqlContext().read()
.format("com.databricks.spark.xml")
.option("rowTag", "Client")
.schema(getSchemaClient())
.load(dirtorio);
clients.show(10);
public StructType getSchemaClient() {
return new StructType(
new StructField {
new StructField("_ID", DataTypes.StringType, true, Metadata.empty()),
new StructField("_name", DataTypes.StringType, true, Metadata.empty()),
new StructField("_age", DataTypes.StringType, true, Metadata.empty()),
new StructField("Operation", DataTypes.createArrayType(this.getSchemaOperation()), true, Metadata.empty()) });
}
public StructType getSchemaOperation() {
return new StructType(new StructField {
new StructField("_ID", DataTypes.StringType, true, Metadata.empty()),
new StructField("_name", DataTypes.StringType, true, Metadata.empty()),
});
}
apache-spark xml-parsing databricks
apache-spark xml-parsing databricks
asked Jul 11 '18 at 18:21
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Thiago ZolingerThiago Zolinger
61
61
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1 Answer
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Version 0.5.0 was just released, which resolved issues with self-closing tags. It may resolve this issue. See https://github.com/databricks/spark-xml/pull/352
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1 Answer
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1 Answer
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Version 0.5.0 was just released, which resolved issues with self-closing tags. It may resolve this issue. See https://github.com/databricks/spark-xml/pull/352
add a comment |
Version 0.5.0 was just released, which resolved issues with self-closing tags. It may resolve this issue. See https://github.com/databricks/spark-xml/pull/352
add a comment |
Version 0.5.0 was just released, which resolved issues with self-closing tags. It may resolve this issue. See https://github.com/databricks/spark-xml/pull/352
Version 0.5.0 was just released, which resolved issues with self-closing tags. It may resolve this issue. See https://github.com/databricks/spark-xml/pull/352
answered Dec 30 '18 at 20:28
Sean OwenSean Owen
58.1k18123158
58.1k18123158
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