Esempio n. 1
0
        } //updatePasswordUsingUDF

        public void aggregateUsersByTweetCountByRegion()
        {
            ResultSet rs = null;

            try
            {
                int min;
                int max;
                Console.WriteLine("\nEnter Min Tweet Count:");
                min = int.Parse(Console.ReadLine());
                Console.WriteLine("Enter Max Tweet Count:");
                max = int.Parse(Console.ReadLine());

                // NOTE: UDF registration has been included here for convenience and to demonstrate the syntax.
                // NOTE: The recommended way of registering UDFs in production env is via AQL
                string luaDirectory = @"..\..\udf";
                LuaConfig.PackagePath = luaDirectory + @"\?.lua";

                string filename = "aggregationByRegion.lua";
                string path     = Path.Combine(luaDirectory, filename);

                RegisterTask rt = client.Register(null, path, filename, Language.LUA);
                rt.Wait();

                string[]  bins = { "tweetcount", "region" };
                Statement stmt = new Statement();
                stmt.SetNamespace("test");
                stmt.SetSetName("users");
                stmt.SetIndexName("tweetcount_index");
                stmt.SetBinNames(bins);
                stmt.SetFilters(Filter.Range("tweetcount", min, max));

                Console.WriteLine("\nAggregating users with " + min + "-" + max + " tweets by region. Hang on...\n");

                rs = client.QueryAggregate(null, stmt, "aggregationByRegion", "sum");

                if (rs.Next())
                {
                    Dictionary <object, object> result = (Dictionary <object, object>)rs.Object;
                    Console.WriteLine("Total Users in North: " + result["n"]);
                    Console.WriteLine("Total Users in South: " + result["s"]);
                    Console.WriteLine("Total Users in East: " + result["e"]);
                    Console.WriteLine("Total Users in West: " + result["w"]);
                }
            }
            finally
            {
                if (rs != null)
                {
                    // Close record set
                    rs.Close();
                }
            }
        } //aggregateUsersByTweetCountByRegion
Esempio n. 2
0
        private void RunQuery(AerospikeClient client, Arguments args, string indexName, string binName)
        {
            console.Info("Query for:ns={0} set={1} index={2} bin={3}",
                         args.ns, args.set, indexName, binName);

            Statement stmt = new Statement();

            stmt.SetNamespace(args.ns);
            stmt.SetSetName(args.set);
            stmt.SetFilter(Filter.Equal(binName, 1));

            ResultSet rs = client.QueryAggregate(null, stmt, "average_example", "average");

            try
            {
                if (rs.Next())
                {
                    object obj = rs.Object;

                    if (obj is Dictionary <object, object> )
                    {
                        Dictionary <object, object> map = (Dictionary <object, object>)obj;
                        object objsum   = map["sum"];
                        object objcount = map["count"];
                        double sum      = (double)(long)objsum;
                        double count    = (double)(long)objcount;
                        double avg      = sum / count;
                        console.Info("Sum=" + sum + " Count=" + count + " Average=" + avg);

                        double expected = 5.5;
                        if (avg != expected)
                        {
                            console.Error("Data mismatch: Expected {0}. Received {1}.", expected, avg);
                        }
                    }
                    else
                    {
                        console.Error("Unexpected object returned: " + obj);
                    }
                }
                else
                {
                    console.Error("Query failed. No records returned.");
                }
            }
            finally
            {
                rs.Close();
            }
        }
Esempio n. 3
0
        private void RunQuery(AerospikeClient client, Arguments args, string indexName, string binName1, string binName2)
        {
            StringBuilder rgnsb = new StringBuilder();

            rgnsb.Append("{ ");
            rgnsb.Append("    \"type\": \"Polygon\", ");
            rgnsb.Append("    \"coordinates\": [ ");
            rgnsb.Append("        [[-122.500000, 37.000000],[-121.000000, 37.000000], ");
            rgnsb.Append("         [-121.000000, 38.080000],[-122.500000, 38.080000], ");
            rgnsb.Append("         [-122.500000, 37.000000]] ");
            rgnsb.Append("    ] ");
            rgnsb.Append(" } ");

            console.Info("QueryRegion: " + rgnsb);

            string amenStr = "school";

            Statement stmt = new Statement();

            stmt.SetNamespace(args.ns);
            stmt.SetSetName(args.set);
            stmt.SetFilter(Filter.GeoWithinRegion(binName1, rgnsb.ToString()));
            stmt.SetAggregateFunction("geo_filter_example", "match_amenity", Value.Get(amenStr));

            ResultSet rs = client.QueryAggregate(null, stmt);

            try
            {
                int count = 0;

                while (rs.Next())
                {
                    object result = rs.Object;
                    console.Info("Record found: " + result);
                    count++;
                }

                if (count != 2)
                {
                    console.Error("Wrong number of schools found. %d != 2", count);
                }
            }
            finally
            {
                rs.Close();
            }
        }
        private void RunQuery(AerospikeClient client, Arguments args, string indexName, string binName)
        {
            string nameFilter = "Bill";
            string passFilter = "hknfpkj";

            console.Info("Query for: ns=%s set=%s index=%s name=%s pass=%s", args.ns, args.set, indexName, nameFilter, passFilter);

            Statement stmt = new Statement();

            stmt.SetNamespace(args.ns);
            stmt.SetSetName(args.set);
            stmt.SetFilters(Filter.Equal(binName, nameFilter));
            stmt.SetAggregateFunction("filter_example", "profile_filter", Value.Get(passFilter));

            // passFilter will be applied in filter_example.lua.
            ResultSet rs = client.QueryAggregate(null, stmt);

            try
            {
                int count = 0;

                while (rs.Next())
                {
                    Dictionary <object, object> map = (Dictionary <object, object>)rs.Object;
                    Validate(map, "name", nameFilter);
                    Validate(map, "password", passFilter);
                    count++;
                }

                if (count == 0)
                {
                    console.Error("Query failed. No records returned.");
                }
            }
            finally
            {
                rs.Close();
            }
        }
Esempio n. 5
0
        } //updatePasswordUsingCAS

        public void aggregateUsersByTweetCountByRegion()
        {
            // TODO: Create NUMERIC index on tweetcount in users set (Same as Exercise Q4)
            // Exercise A2
            // NOTE: Index creation has been included in here for convenience and to demonstrate the syntax
            // The recommended way of creating indexes in production env is via AQL
            // or create once using a standalone application.
            //IndexTask task = client.CreateIndex(null, "test", "users", "tweetcount_index", "tweetcount", IndexType.NUMERIC);
            //task.Wait();

            ResultSet rs = null;

            try
            {
                int min;
                int max;
                Console.WriteLine("\nEnter Min Tweet Count:");
                min = int.Parse(Console.ReadLine());
                Console.WriteLine("Enter Max Tweet Count:");
                max = int.Parse(Console.ReadLine());

                // TODO: Register UDF
                // Exercise A2
                // NOTE: UDF registration has been included here for convenience and to demonstrate the syntax.
                // The recommended way of registering UDFs in production env is via AQL
                // or standalone application using code similar to below.
                string luaDirectory = @"..\..\udf";
                LuaConfig.PackagePath = luaDirectory + @"\?.lua";

                string filename = "aggregationByRegion.lua";
                string path     = Path.Combine(luaDirectory, filename);

                RegisterTask rt = client.Register(null, path, filename, Language.LUA);
                rt.Wait();

                // TODO: Create string array of bins that you would like to retrieve
                // In this example, we want to display which region has how many tweets.
                // Exercise A2
                string[] bins = { "tweetcount", "region" };

                // TODO: Create Statement instance
                // Exercise A2
                Statement stmt = new Statement();

                // TODO: Set namespace on the instance of the Statement
                // Exercise A2
                stmt.SetNamespace("test");

                // TODO: Set the name of the set on the instance of the Statement
                // Exercise A2
                stmt.SetSetName("users");

                // TODO: Set the name of index on the instance of the Statement
                // Exercise A2
                stmt.SetIndexName("tweetcount_index");

                // TODO: Set the list of bins to retrieve on the instance of the Statement
                // Exercise A2
                stmt.SetBinNames(bins);

                // TODO: Set the range Filter on tweetcount on the instance of the Statement
                // Exercise A2
                stmt.SetFilters(Filter.Range("tweetcount", min, max));

                Console.WriteLine("\nAggregating users with " + min + "-" + max + " tweets by region. Hang on...\n");

                // TODO: Execute the Aggregation Query passing null policy and Statement instance,
                // Lua Module and module function to call.
                // Exercise A2
                rs = client.QueryAggregate(null, stmt, "aggregationByRegion", "sum");

                if (rs.Next())
                {
                    // TODO: Iterate through returned RecordSet and output text in format "Total Users in <region>: <#>"
                    // Exercise A2
                    Dictionary <object, object> result = (Dictionary <object, object>)rs.Object;
                    Console.WriteLine("Total Users in North: " + result["n"]);
                    Console.WriteLine("Total Users in South: " + result["s"]);
                    Console.WriteLine("Total Users in East: " + result["e"]);
                    Console.WriteLine("Total Users in West: " + result["w"]);
                }
            }
            finally
            {
                // TODO: Close the RecordSet
                // Exercise A2
                if (rs != null)
                {
                    // Close record set
                    rs.Close();
                }
            }
        } //aggregateUsersByTweetCountByRegion
Esempio n. 6
0
        } //main

        public void aggregateUsersByTweetCountByRegion(AerospikeClient client)
        {
            ResultSet rs = null;

            try
            {
                int min;
                int max;
                Console.WriteLine("\nEnter Min Tweet Count:");
                min = int.Parse(Console.ReadLine());
                Console.WriteLine("Enter Max Tweet Count:");
                max = int.Parse(Console.ReadLine());

                Console.WriteLine("\nAggregating users with " + min + "-" + max + " tweets by region. Hang on...\n");

                // NOTE: Index creation has been included in here for convenience and to demonstrate the syntax.
                // NOTE: The recommended way of creating indexes in production env is via AQL.
                IndexTask task = client.CreateIndex(null, "test", "testusers", "tweetcountindex", "tweetcount", IndexType.NUMERIC);
                task.Wait();

                // NOTE: UDF registration has been included here for convenience and to demonstrate the syntax.
                // NOTE: The recommended way of registering UDFs in production env is via AQL
                string luaDirectory = @"..\..\udf";
                LuaConfig.PackagePath = luaDirectory + @"\?.lua";

                string filename = "aggregationByRegion.lua";
                string path     = Path.Combine(luaDirectory, filename);

                RegisterTask rt = client.Register(null, path, filename, Language.LUA);
                rt.Wait();

                Statement stmt = new Statement();
                stmt.SetNamespace("test");
                stmt.SetSetName("testusers");
                stmt.SetIndexName("tweetcountindex");
                stmt.SetFilters(Filter.Range("tweetcount", min, max));

                rs = client.QueryAggregate(null, stmt, "aggregationByRegion", "sum");

                if (rs.Next())
                {
                    Dictionary <object, object> result = (Dictionary <object, object>)rs.Object;

                    Console.WriteLine("Here's the breakdown...\n");
                    Console.WriteLine("Total Users in North: " + result["n"]);
                    Console.WriteLine("Total Users in South: " + result["s"]);
                    Console.WriteLine("Total Users in East: " + result["e"]);
                    Console.WriteLine("Total Users in West: " + result["w"]);
                }
            }
            catch (AerospikeException e)
            {
                Console.WriteLine("AerospikeException - Message: " + e.Message);
                Console.WriteLine("AerospikeException - StackTrace: " + e.StackTrace);
            }
            finally
            {
                if (rs != null)
                {
                    // Close record set
                    rs.Close();
                }
            }
        } //aggregateUsersByTweetCountByRegion