@Override public void update(TagsValuePair p) { if (!shouldCheckQuery || query.matches(p.tags())) { ++aggr; } }
@Override public void update(TagsValuePair p) { Map<String, String> tags = p.tags(); if (!shouldCheckQuery || af.query().matches(tags)) { Map<String, String> newTags = tags.entrySet().stream() .filter(e -> keys.contains(e.getKey())) .collect(Collectors.toMap(Map.Entry::getKey, Map.Entry::getValue)); aggrs.computeIfAbsent(newTags, ks -> af.aggregator(ks, false)).update(p); } }
@Override public void update(TagsValuePair p) { if (!shouldCheckQuery || query.matches(p.tags())) { aggr += p.value(); ++count; } }
@Override public void update(TagsValuePair p) { Map<String, String> tags = new HashMap<>(p.tags()); if (!shouldCheckQuery || af.query().matches(tags)) { for (String k : keys) { tags.remove(k); } aggrs.computeIfAbsent(tags, ks -> af.aggregator(ks, false)).update(p); } }
@Override public void update(TagsValuePair p) { Map<String, String> tags = p.tags(); if (!shouldCheckQuery || query.matches(tags)) { pairs.add(new TagsValuePair(tags, p.value())); } }
@Override public void update(TagsValuePair p) { Map<String, String> tags = p.tags(); if (!shouldCheckQuery || af.query().matches(tags)) { Map<String, String> k = keyTags(tags); if (k != null) { k.putAll(queryTags); aggrs.computeIfAbsent(k, ks -> af.aggregator(ks, false)).update(p); } } }
@Override public void update(TagsValuePair p) { if ((!shouldCheckQuery || query.matches(p.tags())) && p.value() < aggr) { aggr = p.value(); ++count; } }
@Override public void update(TagsValuePair p) { if ((!shouldCheckQuery || query.matches(p.tags())) && p.value() > aggr) { aggr = p.value(); ++count; } }
/** * Evaluate expressions for all subscriptions associated with the specified group using * the provided data. * * @param group * Name of the group. At Netflix this is typically the cluster that includes * the instance reporting data. * @param timestamp * Timestamp to use for the payload response. * @param vs * Set of values received for the group for the current time period. * @return * Payload that can be encoded and sent to Atlas streaming evaluation cluster. */ public EvalPayload eval(String group, long timestamp, List<TagsValuePair> vs) { List<Subscription> subs = subscriptions.getOrDefault(group, Collections.emptyList()); List<EvalPayload.Metric> metrics = new ArrayList<>(); for (Subscription s : subs) { DataExpr expr = s.dataExpr(); for (TagsValuePair pair : expr.eval(vs)) { EvalPayload.Metric m = new EvalPayload.Metric(s.getId(), pair.tags(), pair.value()); metrics.add(m); } } return new EvalPayload(timestamp, metrics); } }
private void groupingData(String aggr, boolean shouldCheckQuery) { DataExpr expr = parse("name,foo,:eq,:sum," + aggr); List<TagsValuePair> ms = data("foo", 1.0, 2.0, 3.0, 1.0); ms.addAll(data("bar", 42.0)); Iterable<TagsValuePair> vs = shouldCheckQuery ? expr.eval(ms) : evalNoCheck(expr, ms); int count = 0; for (TagsValuePair v : vs) { ++count; Assertions.assertEquals(2, v.tags().size()); if (shouldCheckQuery) { Assertions.assertEquals("foo", v.tags().get("name")); } double tv = Double.parseDouble(v.tags().get("v")); Assertions.assertEquals((tv < 2.0) ? 2.0 : tv, v.value(), 1e-12); } Assertions.assertEquals(shouldCheckQuery ? 3 : 4, count); }
private void aggrData(String aggr, double expected, boolean shouldCheckQuery) { DataExpr expr = parse("name,foo,:eq," + aggr); List<TagsValuePair> ms = data("foo", 1.0, 2.0, 3.0, 1.0); ms.addAll(data("bar", 42.0)); Map<String, String> expectedTags = new HashMap<>(); expectedTags.put("name", "foo"); Iterable<TagsValuePair> vs = shouldCheckQuery ? expr.eval(ms) : evalNoCheck(expr, ms); int count = 0; for (TagsValuePair v : vs) { ++count; Assertions.assertEquals(expectedTags, v.tags()); Assertions.assertEquals(expected, v.value(), 1e-12); } Assertions.assertEquals(1, count); }