1 files changed, 0 insertions, 160 deletions
diff --git a/src/mongo/gotools/src/github.com/mongodb/mongo-tools/mongoreplay/aggregation/mongoreplay_aggregations.js b/src/mongo/gotools/src/github.com/mongodb/mongo-tools/mongoreplay/aggregation/mongoreplay_aggregations.js
deleted file mode 100644
index 3bd258f80e2..00000000000
--- a/src/mongo/gotools/src/github.com/mongodb/mongo-tools/mongoreplay/aggregation/mongoreplay_aggregations.js
+++ /dev/null
@@ -1,160 +0,0 @@
-//mongoreplay_aggregations.js
-
-
-//max_latency_per_type returns an aggregation pipeline to view the average and max latency for each type in a 
-//mongoreplay report. Latency is calculated as the amount of time between when an operation is played and when it completes
-function max_latency_per_type(){
-  return  [
-    {$project:
-      {
-        "optype":
-          { $ifNull :
-            [
-              {$concat : ["cmd_", "$command"]},
-              {$concat: ["op_", "$op"]}
-            ]
-          },
-        "latency_us": 1
-      }
-    },
-    {$group :
-      {
-        _id: "$optype",
-        "max_latency": {$max : "$latency_us"}, 
-		"avg_latency": {$avg: "$latency_us"}
-      }
-    }
-  ]
-}
-
-
-//average_and_peak_lag returns an aggregation pipeline to view the average and max lag for a mongoreplay report
-//Lag is calculated as the amount of time between when an operation is scheduled to be played as per the playback information
-//and when it actually is played in mongoreplay
-function average_and_peak_lag() {
-  return [
-    {$group: {
-      _id: null,
-      "average_lag_us": {$avg : "$playbacklag_us"},
-      "max_lag_us": {$max: "$playbacklag_us"}
-      }
-    },
-    {$project : {
-        "_id" :0,
-        "average_lag_us" :1,
-        "max_lag_us": 1,
-      }
-    }
-  ]
-}
-
-//latency_delta returns an aggregation pipeline to view the difference in latency in two mongoreplay reports
-//The 'other_collection' is the collection you wish to take a delta against
-function latency_delta(other_collection) {
-  return [
-    {$lookup :
-      {
-        from: other_collection,
-        localField: "order",
-        foreignField: "order",
-        as: "join",
-      }
-    },
-    {$unwind: '$join'},
-    {$project:
-      {
-        order: 1,
-        latencyDiff : { $subtract: ["$latency_us", "$join.latency_us"]},
-        op: 1,
-		command: 1
-      }
-    },
-    {$sort:
-      {
-        latencyDiff: -1
-      }
-    }
-  ]
-}
-
-
-//latency_delta returns an aggregation pipeline to view the difference in errors in two mongoreplay reports
-//This pipeline returns all ops where the errors in one report do not match the errors in another
-//The 'other_collection' is the collection you wish to take a diff against
-function errors_diff(other_collection) {
-  return [
-    { $lookup :
-      {
-        from: other_collection,
-        localField: "order",
-        foreignField: "order",
-        as: "join",
-      }
-    },
-    {$unwind: '$join'},
-    {$project:
-      {
-        original_errors:"$errors",
-        replayed_errors:"$join.errors",
-        order: 1,
-        type: 1
-      }
-    },
-    {$match:
-      {
-        replayed_errors: {$ne: "$original_errors"},
-		$or :
-		  [
-		  {replayed_errors: {$exists: true}},  
-		  {original_errors: {$exists: true}}
-		  ]
-      }
-    }
-  ]
-}
-//average_latency_compare returns a pipeline to view the average latency of each optype in different mongoreplay reports
-//the 'other_collection' is the collection you wish to compare a different collection to 
-function average_latency_compare(other_collection) {
-  return [
-    { $lookup :
-      {
-        from: other_collection,
-        localField: "order",
-        foreignField: "order",
-        as: "join",
-      }
-    },
-    {$unwind : '$join'},
-    {$project:
-      {
-        optype:
-          { $ifNull : [
-              {$concat : ["cmd_", "$command"]},
-              {$concat: ["op_", "$op"]}
-            ]
-          },
-        original_latency_us: "$latency_us",
-        replayed_latency_us: "$join.latency_us",
-        order: 1
-
-      }
-    },
-    {$group :
-      {
-        _id : "$optype",
-        avg_original_latency_us : { $avg: '$original_latency_us'},
-        avg_replayed_latency_us : { $avg: '$replayed_latency_us'}
-      }
-    }
-  ]
-}
-
-//getStats executes an aggregation query using the pipeline function specified.
-//it is a helper function to execute any of the mongoreplay statics functions
-//the aggregation_func is a function that returns an aggregation pipeline and collection1 and collection2 are string names of the 
-//collections you wish to input to your pipeline. Collection2 may be optional depending on the aggregation_func you use
-function getStats(aggregation_func, collection1, collection2) {
-  var aggregation = aggregation_func(collection2)
-  var coll = db.getCollection(collection1)
-  return coll.aggregate(aggregation)
-}