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SQOOP-1494: Fix generateArvoSchema in DataDrivenImportJob

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(Qian Xu via Jarek Jarcec Cecho)
This commit is contained in:
Jarek Jarcec Cecho 2014-09-05 08:44:56 +02:00
parent 41724c31d4
commit e23d1571bd
1 changed files with 3 additions and 3 deletions
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6
src/java/org/apache/sqoop/mapreduce/DataDrivenImportJob.java
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@ -88,7 +88,7 @@ protected void configureMapper(Job job, String tableName,
job.setOutputValueClass(NullWritable.class);
} else if (options.getFileLayout()
== SqoopOptions.FileLayout.AvroDataFile) {
Schema schema = generateArvoSchema(tableName);
Schema schema = generateAvroSchema(tableName);
try {
writeAvroSchema(schema);
} catch (final IOException e) {
@ -101,7 +101,7 @@ protected void configureMapper(Job job, String tableName,
Configuration conf = job.getConfiguration();
// An Avro schema is required for creating a dataset that manages
// Parquet data records. The import will fail, if schema is invalid.
Schema schema = generateArvoSchema(tableName);
Schema schema = generateAvroSchema(tableName);
String uri;
if (options.doHiveImport()) {
uri = "dataset:hive?dataset=" + options.getTableName();
@ -115,7 +115,7 @@ protected void configureMapper(Job job, String tableName,
job.setMapperClass(getMapperClass());
}
private Schema generateArvoSchema(String tableName) throws IOException {
private Schema generateAvroSchema(String tableName) throws IOException {
ConnManager connManager = getContext().getConnManager();
AvroSchemaGenerator generator = new AvroSchemaGenerator(options,
connManager, tableName);