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NAME

       mongoc_distinct_mapreduce - "distinct" and "mapReduce"

       This  document  provides  some practical, simple, examples to demonstrate the distinct and
       mapReduce commands.

SETUP

       First we'll write some code to insert sample data:

       doc-common-insert.c

          /* Don't try to compile this file on its own. It's meant to be #included
             by example code */

          /* Insert some sample data */
          bool
          insert_data (mongoc_collection_t *collection)
          {
             mongoc_bulk_operation_t *bulk;
             enum N { ndocs = 4 };
             bson_t *docs[ndocs];
             bson_error_t error;
             int i = 0;
             bool ret;

             bulk = mongoc_collection_create_bulk_operation_with_opts (collection, NULL);

             docs[0] = BCON_NEW ("x", BCON_DOUBLE (1.0), "tags", "[", "dog", "cat", "]");
             docs[1] = BCON_NEW ("x", BCON_DOUBLE (2.0), "tags", "[", "cat", "]");
             docs[2] = BCON_NEW (
                "x", BCON_DOUBLE (2.0), "tags", "[", "mouse", "cat", "dog", "]");
             docs[3] = BCON_NEW ("x", BCON_DOUBLE (3.0), "tags", "[", "]");

             for (i = 0; i < ndocs; i++) {
                mongoc_bulk_operation_insert (bulk, docs[i]);
                bson_destroy (docs[i]);
                docs[i] = NULL;
             }

             ret = mongoc_bulk_operation_execute (bulk, NULL, &error);

             if (!ret) {
                fprintf (stderr, "Error inserting data: %s\n", error.message);
             }

             mongoc_bulk_operation_destroy (bulk);
             return ret;
          }

          /* A helper which we'll use a lot later on */
          void
          print_res (const bson_t *reply)
          {
             char *str;
             BSON_ASSERT (reply);
             str = bson_as_canonical_extended_json (reply, NULL);
             printf ("%s\n", str);
             bson_free (str);
          }

DISTINCT COMMAND

       This is how to use the distinct command to get the distinct values of x which are  greater
       than 1:

       distinct.c

          bool
          distinct (mongoc_database_t *database)
          {
             bson_t *command;
             bson_t reply;
             bson_error_t error;
             bool res;
             bson_iter_t iter;
             bson_iter_t array_iter;
             double val;

             command = BCON_NEW ("distinct",
                                 BCON_UTF8 (COLLECTION_NAME),
                                 "key",
                                 BCON_UTF8 ("x"),
                                 "query",
                                 "{",
                                 "x",
                                 "{",
                                 "$gt",
                                 BCON_DOUBLE (1.0),
                                 "}",
                                 "}");
             res =
                mongoc_database_command_simple (database, command, NULL, &reply, &error);
             if (!res) {
                fprintf (stderr, "Error with distinct: %s\n", error.message);
                goto cleanup;
             }

             /* Do something with reply (in this case iterate through the values) */
             if (!(bson_iter_init_find (&iter, &reply, "values") &&
                   BSON_ITER_HOLDS_ARRAY (&iter) &&
                   bson_iter_recurse (&iter, &array_iter))) {
                fprintf (stderr, "Couldn't extract \"values\" field from response\n");
                goto cleanup;
             }

             while (bson_iter_next (&array_iter)) {
                if (BSON_ITER_HOLDS_DOUBLE (&array_iter)) {
                   val = bson_iter_double (&array_iter);
                   printf ("Next double: %f\n", val);
                }
             }

          cleanup:
             /* cleanup */
             bson_destroy (command);
             bson_destroy (&reply);
             return res;
          }

MAPREDUCE - BASIC EXAMPLE

       A  simple  example  using  the  map  reduce  framework.  It  simply  adds up the number of
       occurrences of each "tag".

       First define the map and reduce functions:

       constants.c

          const char *const COLLECTION_NAME = "things";

          /* Our map function just emits a single (key, 1) pair for each tag
             in the array: */
          const char *const MAPPER = "function () {"
                                     "this.tags.forEach(function(z) {"
                                     "emit(z, 1);"
                                     "});"
                                     "}";

          /* The reduce function sums over all of the emitted values for a
             given key: */
          const char *const REDUCER = "function (key, values) {"
                                      "var total = 0;"
                                      "for (var i = 0; i < values.length; i++) {"
                                      "total += values[i];"
                                      "}"
                                      "return total;"
                                      "}";
          /* Note We can't just return values.length as the reduce function
             might be called iteratively on the results of other reduce
             steps. */

       Run   the    mapReduce    command.    Use    the    generic    command    helpers    (e.g.
       mongoc_database_command_simple()).     Do    not    the   read   command   helpers   (e.g.
       mongoc_database_read_command_with_opts())  because  they  are  considered  retryable  read
       operations.  If  retryable  reads  are  enabled,  those  operations  will  retry once on a
       retryable error, giving undesirable behavior for mapReduce.

       map-reduce-basic.c

          bool
          map_reduce_basic (mongoc_database_t *database)
          {
             bson_t reply;
             bson_t *command;
             bool res;
             bson_error_t error;
             mongoc_cursor_t *cursor;
             const bson_t *doc;

             bool query_done = false;

             const char *out_collection_name = "outCollection";
             mongoc_collection_t *out_collection;

             /* Empty find query */
             bson_t find_query = BSON_INITIALIZER;

             /* Construct the mapReduce command */

             /* Other arguments can also be specified here, like "query" or
                "limit" and so on */
             command = BCON_NEW ("mapReduce",
                                 BCON_UTF8 (COLLECTION_NAME),
                                 "map",
                                 BCON_CODE (MAPPER),
                                 "reduce",
                                 BCON_CODE (REDUCER),
                                 "out",
                                 BCON_UTF8 (out_collection_name));
             res =
                mongoc_database_command_simple (database, command, NULL, &reply, &error);

             if (!res) {
                fprintf (stderr, "MapReduce failed: %s\n", error.message);
                goto cleanup;
             }

             /* Do something with the reply (it doesn't contain the mapReduce results) */
             print_res (&reply);

             /* Now we'll query outCollection to see what the results are */
             out_collection =
                mongoc_database_get_collection (database, out_collection_name);
             cursor = mongoc_collection_find_with_opts (
                out_collection, &find_query, NULL, NULL);
             query_done = true;

             /* Do something with the results */
             while (mongoc_cursor_next (cursor, &doc)) {
                print_res (doc);
             }

             if (mongoc_cursor_error (cursor, &error)) {
                fprintf (stderr, "ERROR: %s\n", error.message);
                res = false;
                goto cleanup;
             }

          cleanup:
             /* cleanup */
             if (query_done) {
                mongoc_cursor_destroy (cursor);
                mongoc_collection_destroy (out_collection);
             }

             bson_destroy (&reply);
             bson_destroy (command);

             return res;
          }

MAPREDUCE - MORE COMPLICATED EXAMPLE

       You must have replica set running for this.

       In this example we contact a secondary in the replica set and do an "inline"  map  reduce,
       so the results are returned immediately:

       map-reduce-advanced.c

          bool
          map_reduce_advanced (mongoc_database_t *database)
          {
             bson_t *command;
             bson_error_t error;
             bool res = true;
             mongoc_cursor_t *cursor;
             mongoc_read_prefs_t *read_pref;
             const bson_t *doc;

             /* Construct the mapReduce command */
             /* Other arguments can also be specified here, like "query" or "limit"
                and so on */

             /* Read the results inline from a secondary replica */
             command = BCON_NEW ("mapReduce",
                                 BCON_UTF8 (COLLECTION_NAME),
                                 "map",
                                 BCON_CODE (MAPPER),
                                 "reduce",
                                 BCON_CODE (REDUCER),
                                 "out",
                                 "{",
                                 "inline",
                                 "1",
                                 "}");

             read_pref = mongoc_read_prefs_new (MONGOC_READ_SECONDARY);
             cursor = mongoc_database_command (
                database, MONGOC_QUERY_NONE, 0, 0, 0, command, NULL, read_pref);

             /* Do something with the results */
             while (mongoc_cursor_next (cursor, &doc)) {
                print_res (doc);
             }

             if (mongoc_cursor_error (cursor, &error)) {
                fprintf (stderr, "ERROR: %s\n", error.message);
                res = false;
             }

             mongoc_cursor_destroy (cursor);
             mongoc_read_prefs_destroy (read_pref);
             bson_destroy (command);

             return res;
          }

RUNNING THE EXAMPLES

       Here's how to run the example code

       basic-aggregation.c

          /*
           * Copyright 2016 MongoDB, Inc.
           *
           * Licensed under the Apache License, Version 2.0 (the "License");
           * you may not use this file except in compliance with the License.
           * You may obtain a copy of the License at
           *
           *   http://www.apache.org/licenses/LICENSE-2.0
           *
           * Unless required by applicable law or agreed to in writing, software
           * distributed under the License is distributed on an "AS IS" BASIS,
           * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
           * See the License for the specific language governing permissions and
           * limitations under the License.
           */

          #include <mongoc/mongoc.h>
          #include <stdio.h>

          #include "constants.c"

          #include "../doc-common-insert.c"
          #include "distinct.c"
          #include "map-reduce-basic.c"
          #include "map-reduce-advanced.c"

          int
          main (int argc, char *argv[])
          {
             mongoc_database_t *database = NULL;
             mongoc_client_t *client = NULL;
             mongoc_collection_t *collection = NULL;
             mongoc_uri_t *uri = NULL;
             bson_error_t error;
             char *host_and_port = NULL;
             int exit_code = EXIT_FAILURE;

             if (argc != 2) {
                fprintf (stderr, "usage: %s CONNECTION-STRING\n", argv[0]);
                fprintf (stderr,
                         "the connection string can be of the following forms:\n");
                fprintf (stderr, "localhost\t\t\t\tlocal machine\n");
                fprintf (stderr, "localhost:27018\t\t\t\tlocal machine on port 27018\n");
                fprintf (stderr,
                         "mongodb://user:pass@localhost:27017\t"
                         "local machine on port 27017, and authenticate with username "
                         "user and password pass\n");
                return exit_code;
             }

             mongoc_init ();

             if (strncmp (argv[1], "mongodb://", 10) == 0) {
                host_and_port = bson_strdup (argv[1]);
             } else {
                host_and_port = bson_strdup_printf ("mongodb://%s", argv[1]);
             }

             uri = mongoc_uri_new_with_error (host_and_port, &error);
             if (!uri) {
                fprintf (stderr,
                         "failed to parse URI: %s\n"
                         "error message:       %s\n",
                         host_and_port,
                         error.message);
                goto cleanup;
             }

             client = mongoc_client_new_from_uri (uri);
             if (!client) {
                goto cleanup;
             }

             mongoc_client_set_error_api (client, 2);
             database = mongoc_client_get_database (client, "test");
             collection = mongoc_database_get_collection (database, COLLECTION_NAME);

             printf ("Inserting data\n");
             if (!insert_data (collection)) {
                goto cleanup;
             }

             printf ("distinct\n");
             if (!distinct (database)) {
                goto cleanup;
             }

             printf ("map reduce\n");
             if (!map_reduce_basic (database)) {
                goto cleanup;
             }

             printf ("more complicated map reduce\n");
             if (!map_reduce_advanced (database)) {
                goto cleanup;
             }

             exit_code = EXIT_SUCCESS;

          cleanup:
             if (collection) {
                mongoc_collection_destroy (collection);
             }

             if (database) {
                mongoc_database_destroy (database);
             }

             if (client) {
                mongoc_client_destroy (client);
             }

             if (uri) {
                mongoc_uri_destroy (uri);
             }

             if (host_and_port) {
                bson_free (host_and_port);
             }

             mongoc_cleanup ();
             return exit_code;
          }

       If  you  want to try the advanced map reduce example with a secondary, start a replica set
       (instructions for how to do this can be found here).

       Otherwise, just start an instance of MongoDB:

          $ mongod

       Now compile and run the example program:

          $ cd examples/basic_aggregation/
          $ gcc -Wall -o agg-example basic-aggregation.c $(pkg-config --cflags --libs libmongoc-1.0)
          $ ./agg-example localhost

          Inserting data
          distinct
          Next double: 2.000000
          Next double: 3.000000
          map reduce
          { "result" : "outCollection", "timeMillis" : 155, "counts" : { "input" : 84, "emit" : 126, "reduce" : 3, "output" : 3 }, "ok" : 1 }
          { "_id" : "cat", "value" : 63 }
          { "_id" : "dog", "value" : 42 }
          { "_id" : "mouse", "value" : 21 }
          more complicated map reduce
          { "results" : [ { "_id" : "cat", "value" : 63 }, { "_id" : "dog", "value" : 42 }, { "_id" : "mouse", "value" : 21 } ], "timeMillis" : 14, "counts" : { "input" : 84, "emit" : 126, "reduce" : 3, "output" : 3 }, "ok" : 1 }

AUTHOR

       MongoDB, Inc

COPYRIGHT

       2017-present, MongoDB, Inc