BUG: fix globbed csv to chunked dataframe (#481)

* BUG: fix globbed csv to chunked dataframe

odo/backends/csv.py

@@ -15,6 +15,7 @@
 
 import pandas as pd
 
+from dask.threaded import get as dsk_get
 import datashape
 
 from datashape import discover, Record, Option
@@ -366,8 +367,23 @@ def resource_glob(uri, **kwargs):
 @convert.register(chunks(pd.DataFrame), (chunks(CSV), chunks(Temp(CSV))),
                   cost=10.0)
 def convert_glob_of_csvs_to_chunks_of_dataframes(csvs, **kwargs):
-    data = [partial(convert, chunks(pd.DataFrame), csv, **kwargs) for csv in csvs]
-    return chunks(pd.DataFrame)(data)
+    f = partial(convert, chunks(pd.DataFrame), **kwargs)
+
+    def df_gen():
+        # build up a dask graph to run all of the `convert` calls concurrently
+
+        # use a list to hold the requested key names to ensure that we return
+        # the results in the correct order
+        p = []
+        dsk = {}
+        for n, csv_ in enumerate(csvs):
+            key = 'p%d' % n
+            dsk[key] = f, csv_
+            p.append(key)
+
+        return concat(dsk_get(dsk, p))
+
+    return chunks(pd.DataFrame)(df_gen)
 
 
 @convert.register(Temp(CSV), (pd.DataFrame, chunks(pd.DataFrame)))

odo/backends/tests/test_csv.py

@@ -462,3 +462,19 @@ def test_string_n_convert(string_dshape):
     expected = pd.DataFrame(raw, columns=list('kn'))
     expected['k'] = pd.to_datetime(expected.k)
     tm.assert_frame_equal(result, expected)
+
+
+def test_globbed_csv_to_chunks_of_dataframe():
+    header = 'a,b,c\n'
+    d = {'a-1.csv': header + '1,2,3\n4,5,6\n',
+         'a-2.csv': header + '7,8,9\n10,11,12\n'}
+
+    with filetexts(d):
+        dfs = list(odo('a-*.csv', chunks(pd.DataFrame)))
+
+    assert len(dfs) == 2
+    columns = 'a', 'b', 'c'
+    tm.assert_frame_equal(dfs[0],
+                          pd.DataFrame([[1, 2, 3], [4, 5, 6]], columns=columns))
+    tm.assert_frame_equal(dfs[1],
+                          pd.DataFrame([[7, 8, 9], [10, 11, 12]], columns=columns))