{"action":"created","comment":{"url":"https://api.github.com/repos/influxdata/influxdb/pulls/comments/203100904","pull_request_review_id":137924949,"id":203100904,"node_id":"MDI0OlB1bGxSZXF1ZXN0UmV2aWV3Q29tbWVudDIwMzEwMDkwNA==","diff_hunk":"@@ -12,9 +12,11 @@ import (\n \t\"github.com/opentracing/opentracing-go\"\n )\n \n+const measurementKey = \"_measurement\"\n+\n var (\n-\tmeasurementKey = []byte(\"_measurement\")\n-\tfieldKey       = []byte(\"_field\")\n+\tmeasurementKeyBytes = []byte(measurementKey)\n+\tfieldKey            = []byte(\"_field\")","path":"services/storage/series_cursor.go","position":10,"original_position":10,"commit_id":"6ccc0b563380f9e47efbc0f35b9255023d572dd3","original_commit_id":"6ccc0b563380f9e47efbc0f35b9255023d572dd3","user":{"login":"stuartcarnie","id":52852,"node_id":"MDQ6VXNlcjUyODUy","avatar_url":"https://avatars0.githubusercontent.com/u/52852?v=4","gravatar_id":"","url":"https://api.github.com/users/stuartcarnie","html_url":"https://github.com/stuartcarnie","followers_url":"https://api.github.com/users/stuartcarnie/followers","following_url":"https://api.github.com/users/stuartcarnie/following{/other_user}","gists_url":"https://api.github.com/users/stuartcarnie/gists{/gist_id}","starred_url":"https://api.github.com/users/stuartcarnie/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/stuartcarnie/subscriptions","organizations_url":"https://api.github.com/users/stuartcarnie/orgs","repos_url":"https://api.github.com/users/stuartcarnie/repos","events_url":"https://api.github.com/users/stuartcarnie/events{/privacy}","received_events_url":"https://api.github.com/users/stuartcarnie/received_events","type":"User","site_admin":false},"body":"nit: `fieldKeyBytes` for consistency","created_at":"2018-07-17T16:58:43Z","updated_at":"2018-07-17T16:59:31Z","html_url":"https://github.com/influxdata/influxdb/pull/10090#discussion_r203100904","pull_request_url":"https://api.github.com/repos/influxdata/influxdb/pulls/10090","author_association":"CONTRIBUTOR","_links":{"self":{"href":"https://api.github.com/repos/influxdata/influxdb/pulls/comments/203100904"},"html":{"href":"https://github.com/influxdata/influxdb/pull/10090#discussion_r203100904"},"pull_request":{"href":"https://api.github.com/repos/influxdata/influxdb/pulls/10090"}}},"pull_request":{"url":"https://api.github.com/repos/influxdata/influxdb/pulls/10090","id":201929898,"node_id":"MDExOlB1bGxSZXF1ZXN0MjAxOTI5ODk4","html_url":"https://github.com/influxdata/influxdb/pull/10090","diff_url":"https://github.com/influxdata/influxdb/pull/10090.diff","patch_url":"https://github.com/influxdata/influxdb/pull/10090.patch","issue_url":"https://api.github.com/repos/influxdata/influxdb/issues/10090","number":10090,"state":"open","locked":false,"title":"Improve performance of storage read service","user":{"login":"e-dard","id":501993,"node_id":"MDQ6VXNlcjUwMTk5Mw==","avatar_url":"https://avatars2.githubusercontent.com/u/501993?v=4","gravatar_id":"","url":"https://api.github.com/users/e-dard","html_url":"https://github.com/e-dard","followers_url":"https://api.github.com/users/e-dard/followers","following_url":"https://api.github.com/users/e-dard/following{/other_user}","gists_url":"https://api.github.com/users/e-dard/gists{/gist_id}","starred_url":"https://api.github.com/users/e-dard/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/e-dard/subscriptions","organizations_url":"https://api.github.com/users/e-dard/orgs","repos_url":"https://api.github.com/users/e-dard/repos","events_url":"https://api.github.com/users/e-dard/events{/privacy}","received_events_url":"https://api.github.com/users/e-dard/received_events","type":"User","site_admin":false},"body":"This PR significantly improves the performance of the `storage` `read` service when querying on a single measurement.\r\n\r\nThis primarily impacts on the Prometheus read  endpoint, and the `flux` query language.\r\n\r\nIn the `read` service, we fetch series from the index, and then have to determine the fields that needed to be combined with the series to enable us to fetch TSM data. Previously we did this by  using the current `influxql` query engine to grab all the field keys for each measurement.\r\n\r\nOne of the changes in this PR is to expose the mapping we already maintain within a shard between measurements and fields, providing a more efficient means to get the field keys for a measurement.\r\n\r\nThe next change we made in this PR was to determine when an expression only contains a single measurement, and then to provide an iterator that only iterates over that single measurement, rather than iterating over all measurements. This has a significant performance improvement when there are many measurements in the database. \r\n\r\nCurrently we limit supported expressions to things like:\r\n\r\n```\r\n_measurement = 'm0' AND tag1 = 'foo'\r\n```\r\n\r\nbut not\r\n\r\n```\r\n_measurement = 'm0' AND (tag1 = 'foo' OR tag0 = 'bar')\r\n_measurement =~ /m0/ \r\n```\r\n\r\n### Benchmarks \r\n\r\nI wrote `1M`  series across `1700` measurements. These were laid over 25 shards.\r\n\r\nI then executed the following expression via the `store` command:\r\n\r\n```\r\nstore query -database stress -expr \"_measurement = 'm0' AND tag0 = 'value4' AND tag1 = 'value2' AND tag2 = 'value7' AND tag3 = 'value2'\"\r\n```\r\n\r\nwhich should return 100 points.\r\n\r\n#### Results\r\n\r\n\r\n|| master  | PR |\r\n|------| ------------- | ------------- |\r\n|| 3065 ms  | 3.9 ms   |\r\n|| 3049 ms | 3.3 ms   |\r\n|| 3517 ms  | 3.8 ms  |\r\n|| 3070 ms |  3.4 ms |\r\n|| 3062 ms  | 4.1 ms |\r\n|μ |3152 ms| 3.7ms|\r\n\r\nThe latency has been reduced by 99.9% (850X 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