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-rw-r--r--examples/src/main/python/mllib/dataset_example.py6
1 files changed, 3 insertions, 3 deletions
diff --git a/examples/src/main/python/mllib/dataset_example.py b/examples/src/main/python/mllib/dataset_example.py
index b5a70db2b9..fcbf56cbf0 100644
--- a/examples/src/main/python/mllib/dataset_example.py
+++ b/examples/src/main/python/mllib/dataset_example.py
@@ -44,19 +44,19 @@ if __name__ == "__main__":
print >> sys.stderr, "Usage: dataset_example.py <libsvm file>"
exit(-1)
sc = SparkContext(appName="DatasetExample")
- sqlCtx = SQLContext(sc)
+ sqlContext = SQLContext(sc)
if len(sys.argv) == 2:
input = sys.argv[1]
else:
input = "data/mllib/sample_libsvm_data.txt"
points = MLUtils.loadLibSVMFile(sc, input)
- dataset0 = sqlCtx.inferSchema(points).setName("dataset0").cache()
+ dataset0 = sqlContext.inferSchema(points).setName("dataset0").cache()
summarize(dataset0)
tempdir = tempfile.NamedTemporaryFile(delete=False).name
os.unlink(tempdir)
print "Save dataset as a Parquet file to %s." % tempdir
dataset0.saveAsParquetFile(tempdir)
print "Load it back and summarize it again."
- dataset1 = sqlCtx.parquetFile(tempdir).setName("dataset1").cache()
+ dataset1 = sqlContext.parquetFile(tempdir).setName("dataset1").cache()
summarize(dataset1)
shutil.rmtree(tempdir)