{"action":"created","comment":{"url":"https://api.github.com/repos/locationtech/geomesa/pulls/comments/27117220","id":27117220,"diff_hunk":"@@ -65,13 +65,12 @@ object GeoMesaSpark {\n     val version = ds.getGeomesaVersion(sft)\n     val queryPlanner = new QueryPlanner(sft, featureEncoding, indexSchema, ds, ds.strategyHints(sft), version)\n \n-    val planner = new STIdxStrategy\n-    val qp = planner.buildSTIdxQueryPlan(query, queryPlanner, sft, version, ExplainPrintln)\n+    val qp = new STIdxStrategy().getQueryPlan(query, queryPlanner, ExplainPrintln)\n \n     ConfiguratorBase.setConnectorInfo(classOf[AccumuloInputFormat], conf, ds.connector.whoami(), ds.authToken)\n     ConfiguratorBase.setZooKeeperInstance(classOf[AccumuloInputFormat], conf, ds.connector.getInstance().getInstanceName, ds.connector.getInstance().getZooKeepers)\n \n-    InputConfigurator.setInputTableName(classOf[AccumuloInputFormat], conf, ds.getSpatioTemporalIdxTableName(sft))\n+    InputConfigurator.setInputTableName(classOf[AccumuloInputFormat], conf, ds.getSpatioTemporalTable(sft))","path":"geomesa-compute/src/main/scala/org/locationtech/geomesa/compute/spark/GeoMesaSpark.scala","position":12,"original_position":12,"commit_id":"e03df3ea0f5e98d992fa4c12e9484aa60f1a0573","original_commit_id":"e03df3ea0f5e98d992fa4c12e9484aa60f1a0573","user":{"login":"elahrvivaz","id":7715322,"avatar_url":"https://avatars.githubusercontent.com/u/7715322?v=3","gravatar_id":"","url":"https://api.github.com/users/elahrvivaz","html_url":"https://github.com/elahrvivaz","followers_url":"https://api.github.com/users/elahrvivaz/followers","following_url":"https://api.github.com/users/elahrvivaz/following{/other_user}","gists_url":"https://api.github.com/users/elahrvivaz/gists{/gist_id}","starred_url":"https://api.github.com/users/elahrvivaz/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/elahrvivaz/subscriptions","organizations_url":"https://api.github.com/users/elahrvivaz/orgs","repos_url":"https://api.github.com/users/elahrvivaz/repos","events_url":"https://api.github.com/users/elahrvivaz/events{/privacy}","received_events_url":"https://api.github.com/users/elahrvivaz/received_events","type":"User","site_admin":false},"body":"Yeah, I will open a ticket if you want.","created_at":"2015-03-25T12:57:13Z","updated_at":"2015-03-25T12:57:13Z","html_url":"https://github.com/locationtech/geomesa/pull/511#discussion_r27117220","pull_request_url":"https://api.github.com/repos/locationtech/geomesa/pulls/511","_links":{"self":{"href":"https://api.github.com/repos/locationtech/geomesa/pulls/comments/27117220"},"html":{"href":"https://github.com/locationtech/geomesa/pull/511#discussion_r27117220"},"pull_request":{"href":"https://api.github.com/repos/locationtech/geomesa/pulls/511"}}},"pull_request":{"url":"https://api.github.com/repos/locationtech/geomesa/pulls/511","id":31877089,"html_url":"https://github.com/locationtech/geomesa/pull/511","diff_url":"https://github.com/locationtech/geomesa/pull/511.diff","patch_url":"https://github.com/locationtech/geomesa/pull/511.patch","issue_url":"https://api.github.com/repos/locationtech/geomesa/issues/511","number":511,"state":"open","locked":false,"title":"GEOMESA-724,GEOMESA-729 Map/reduce and scalding input and output formats","user":{"login":"elahrvivaz","id":7715322,"avatar_url":"https://avatars.githubusercontent.com/u/7715322?v=3","gravatar_id":"","url":"https://api.github.com/users/elahrvivaz","html_url":"https://github.com/elahrvivaz","followers_url":"https://api.github.com/users/elahrvivaz/followers","following_url":"https://api.github.com/users/elahrvivaz/following{/other_user}","gists_url":"https://api.github.com/users/elahrvivaz/gists{/gist_id}","starred_url":"https://api.github.com/users/elahrvivaz/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/elahrvivaz/subscriptions","organizations_url":"https://api.github.com/users/elahrvivaz/orgs","repos_url":"https://api.github.com/users/elahrvivaz/repos","events_url":"https://api.github.com/users/elahrvivaz/events{/privacy}","received_events_url":"https://api.github.com/users/elahrvivaz/received_events","type":"User","site_admin":false},"body":"* Split query planning and query execution into two separate steps so that m/r can use query planning\r\n* Split feature writing into creating mutations and applying them so that m/r can use the mutations directly\r\n* Input - can specify CQL which will be translated into the appropriate ranges and iterators behind the scenes\r\n* Output - can write features directly to accumulo\r\n* Input and output delegate to AccumuloInput/OutputFormat\r\n* Supports 'old' and 'new' hadoop apis (mapred vs mapreduce packages)\r\n* Provides hadoop serialization for simple features\r\n* Split AccumuloSource options into input and output specific flavors\r\n* For interoperability, has Java implementations that call to the scala classes\r\n* Sample jobs are included - FeatureCountJob and FeatureWriterJob\r\n\r\nSigned-off-by: Emilio Lahr-Vivaz 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