[dogstatsd] Parse distribution metrics and ignore them

aggregator.py

@@ -399,6 +399,8 @@ class Aggregator(object):
     """
     # Types of metrics that allow strings
     ALLOW_STRINGS = ['s', ]
+    # Types that are not implemented and ignored
+    IGNORE_TYPES = ['d', ]
 
     def __init__(self, hostname, interval=1.0, expiry_seconds=300,
             formatter=None, recent_point_threshold=None,
@@ -472,6 +474,8 @@ def parse_metric_packet(self, packet):
 
             if metric_type in self.ALLOW_STRINGS:
                 value = raw_value
+            elif metric_type in self.IGNORE_TYPES:
+                continue
             else:
                 # Try to cast as an int first to avoid precision issues, then as a
                 # float.

tests/core/test_aggregator.py

@@ -288,6 +288,18 @@ def test_string_sets(self):
         # Assert there are no more sets
         assert not stats.flush()
 
+    def test_ignore_distribution(self):
+        stats = MetricsAggregator('myhost')
+        stats.submit_packets('my.dist:5.0|d')
+        stats.submit_packets('my.gauge:1|g')
+
+        # Assert that it's treated normally, and that the distribution is ignored
+        metrics = stats.flush()
+        nt.assert_equal(len(metrics), 1)
+        m = metrics[0]
+        nt.assert_equal(m['metric'], 'my.gauge')
+        nt.assert_equal(m['points'][0][1], 1)
+
     @attr(requires='core_integration')
     def test_rate(self):
         stats = MetricsAggregator('myhost')