How to Run Multilingual Atlas Search Queries

In Atlas, go to the Clusters page for your project.

1. If it's not already displayed, select the organization that contains your desired project from the Organizations menu in the navigation bar.

2. If it's not already displayed, select your desired project from the Projects menu in the navigation bar.

3. If the Clusters page is not already displayed, click Database in the sidebar.

   The Clusters page displays.

Go to the Atlas Search page for your cluster.

You can go the Atlas Search page from the sidebar, the Data Explorer, or your cluster details page.

Go to the Search Tester.

Click the Query button to the right of the index to query.

View and edit the query syntax.

Click Edit Query to view a default query syntax sample in JSON format.

Run an Atlas Search multilingual query that searches for an Italian term.

This query uses the following compound operator clauses to query the collection:

• must clause to search for movie plots in Italian that contain the term coppia with the text operator

• mustNot clause to exclude movies released between the years 2000 to 2009 using the range operator

• should clause to specify preference for the Drama genre with the text operator

Copy and paste the following query into the Query Editor, and then click the Search button in the Query Editor.

[
  {
    $search: {
      "index": "multilingual-tutorial",
      "compound": {
        "must": [{
          "text": {
            "path": "fullplot",
            "query":  "coppia"
          }
        }],
        "mustNot": [{
          "range": {
            "path": "released",
            "gt": ISODate("2000-01-01T00:00:00.000Z"),
            "lt": ISODate("2009-01-01T00:00:00.000Z")
          }
        }],
        "should": [{
          "text": {
            "query": "Drama",
            "path": "genres"
          }
        }]
      }
    }
  }
]

SCORE: 4.606284141540527  _id: "573a1394f29313caabce0561"
  plot: "In a Japanese slum, various residents play out their lives, dreaming o…"
  genres:
    0: "Drama"
  runtime: 137
  fullplot: "Una coppia di gretti usurai gestisce uno squallido dormitorio, nei pre…"
  released: 1957-10-01T00:00:00.000+00:00
SCORE: 3.9604406356811523  _id: "573a1395f29313caabce26d2"
  plot: "Sei persone viaggiano in un vagone-letto da Marsiglia a Parigi. All'ar…"
  genres:
    0: "Mystery"
    1: "Thriller"
  runtime: 95
  fullplot: "Sei persone viaggiano in un vagone-letto da Marsiglia a Parigi. All'ar…"
  released: 1965-11-17T00:00:00.000+00:00

Expand your query results.

The Search Tester might not display all the fields in the documents it returns. To view all the fields, including the field that you specify in the query path, expand the document in the results.

In Atlas, go to the Clusters page for your project.

1. If it's not already displayed, select the organization that contains your desired project from the Organizations menu in the navigation bar.

2. If it's not already displayed, select your desired project from the Projects menu in the navigation bar.

3. If the Clusters page is not already displayed, click Database in the sidebar.

   The Clusters page displays.

Go to the Atlas Search page for your cluster.

You can go the Atlas Search page from the sidebar, the Data Explorer, or your cluster details page.

Go to the Search Tester.

Click the Query button to the right of the index to query.

View and edit the query syntax.

Click Edit Query to view a default query syntax sample in JSON format.

Run an Atlas Search multilingual query that searches for an English and Italian term.

This query uses the following compound operator clauses to query the collection:

• must clause to search for movie plots in English and Italian that contain the term Bella with the text operator

• mustNot clause to exclude movies released between the years 1984 to 2016 using the range operator

• should clause to specify preference for the Comedy genre with the text operator

Copy and paste the following query into the Query Editor, and then click the Search button in the Query Editor.

[
  {
    $search: {
      "index": "multilingual-tutorial",
      "compound": {
        "must": [{
          "text": {
            "query": "Bella",
            "path": { "value": "fullplot", "multi": "fullplot_english" }
          }
        }],
        "mustNot": [{
          "range": {
            "path": "released",
            "gt": ISODate("1984-01-01T00:00:00.000Z"),
            "lt": ISODate("2016-01-01T00:00:00.000Z")
          }
        }],
        "should": [{
          "text": {
            "query": "Comedy",
            "path": "genres"
          }
        }]
      }
    }
  }
]

SCORE: 3.909510850906372  _id: "573a1397f29313caabce8bad"
  plot: "He is a revenge-obssessed stevedore whose sister was brutally raped an…"
  genres:
    0: "Drama"
  runtime: 137
  fullplot: "In Marseilles, a woman commits suicide after she is raped in an alley.…"
  released: 1983-05-18T00:00:00.000+00:00
SCORE: 3.4253346920013428  _id: "573a1396f29313caabce5735"
  plot: "Giovanna e' una bella ragazza, ma ha qualche problema con gli uomini: …"
  genres:
    0: "Comedy"
  runtime: 100
  fullplot: "Giovanna e' una bella ragazza, ma ha qualche problema con gli uomini: …"
  released: 1974-11-15T00:00:00.000+00:00
SCORE: 3.363344430923462  _id: "573a1395f29313caabce13cf"
  plot: "Gerardo è un attore o almeno cerca di esserlo, ma il pubblico non è de…"
  genres:
    0: "Comedy"
  runtime: 95
  fullplot: "Gerardo è un attore o almeno cerca di esserlo, ma il pubblico non è de…"
  released: 1960-02-10T00:00:00.000+00:00
SCORE: 1.9502882957458496  _id: "573a1396f29313caabce5299"
  plot: "Dr Tremayne is an enigmatic Psychiatrist running a
  Futuristic asylum h…"
  genres:
    0: "Horror"
  runtime: 90
  fullplot: "Dr Tremayne is an enigmatic Psychiatrist running a Futuristic asylum h…"
  released: 1973-10-31T00:00:00.000+00:00

Expand your query results.

The Search Tester might not display all the fields in the documents it returns. To view all the fields, including the field that you specify in the query path, expand the document in the results.

Connect to your cluster in mongosh.

Open mongosh in a terminal window and connect to your cluster. For detailed instructions on connecting, see Connect via mongosh.

Use the sample_mflix database.

Run the following command at mongosh prompt:

use sample_mflix

Run an Atlas Search multilingual query that searches for an Italian term.

This query uses the following compound operator clauses to query the collection:

• must clause to search for movie plots in Italian that contain the term coppia with the text operator

• mustNot clause to exclude movies released between the years 2000 to 2009 using the range operator

• should clause to specify preference for the Drama genre with the text operator

The query uses the $project pipeline stage to:

• Exclude all fields except title, fullplot, released, and genres

• Add a field named score

db.movies.aggregate([ 
  { 
    $search: {
      "index": "multilingual-tutorial",
      "compound": {
        "must": [{ 
          "text": { 
            "path": "fullplot", 
            "query":  "coppia"
          }
        }], 
        "mustNot": [{ 
          "range": { 
            "path": "released", 
            "gt": ISODate("2000-01-01T00:00:00.000Z"), 
            "lt": ISODate("2009-01-01T00:00:00.000Z") 
          } 
        }], 
        "should": [{ 
          "text": { 
            "query": "Drama", 
            "path": "genres" 
          } 
        }] 
      }
    }
  }, 
  { 
    $project: { 
      "_id": 0, 
      "title": 1, 
      "fullplot": 1, 
      "released": 1, 
      "genres": 1, 
      "score": { 
        "$meta": "searchScore" 
      } 
    } 
  }
])

{
  genres: [ 'Drama' ],
  title: 'Donzoko',
  fullplot: `Una coppia di gretti usurai gestisce uno squallido
  dormitorio, nei pressi di una discarica. Una folla di larve e
  relitti umani affolla il locale: un ex attore alcolizzato; una
  prostituta; un fabbro che sragiona; disoccupati ed altri ancora.
  In tutti c'è la ricerca della fuga dalla loro miseranda esistenza,
  attraverso alcool, gioco, sogni. Arriva un giorno al dormitorio
  un vecchio e saggio pellegrino, che porta in tutti una nota di
  speranza con la sua filosofia e la sua umanitè. Ma il sogno dura
  poco : lo sconforto torna ad impadronirsi di tutti, al punto da
  portare l'ex attore al suicidio e gli altri a ribellarsi ai due
  gestori. Ispirato ad un dramma di Gorkij, il film parla della parte
  sconfitta dell'umanitè, dei vinti, dei falliti, dei rifiutati
  dalla
  societè "civile".`,
  released: ISODate("1957-10-01T00:00:00.000Z"),
  score: 4.606284141540527
},
{
  genres: [ 'Mystery', 'Thriller' ],
  title: 'Compartiment tueurs',
  fullplot: "Sei persone viaggiano in un vagone-letto da Marsiglia a
  Parigi. All'arrivo, un donna viene trovata morta nella sua cuccetta.
  La polizia si mette alla ricerca delle altre persone, sospettando
  possa essere stato uno degli altri cinque passeggeri a commettere
  l'omicidio, ma questi sono uccisi uno ad uno. Gli ultimi due (una
  coppia di ragazzi conosciutisi per caso nella carrozza) decidono di
  cercare di risolvere il caso, per non essere uccisi a loro volta,
  rischiando comunque di esserlo. Con il loro aiuto il caso viene
  risolto: un giovane e squattrinato studente, amante di una ricca ed
  attempata attrice (una delle vittime) ha organizzato gli omicidi
  con il suo amante, un giovane poliziotto nevrotico, per derubare la
  donna e fuggire insieme in Africa; per cui bisognava uccidere tutti
  i componenti del vagone-letto per non destare sospetti. Alla fine,
  dopo un inseguimento notturno per le vie di Parigi, lo studente
  viene arrestato ed il complice si suicida per non essere catturato.",
  released: ISODate("1965-11-17T00:00:00.000Z"),
  score: 3.9604406356811523
}

Connect to your cluster in mongosh.

Open mongosh in a terminal window and connect to your cluster. For detailed instructions on connecting, see Connect via mongosh.

Use the sample_mflix database.

Run the following command at mongosh prompt:

use sample_mflix

Run an Atlas Search multilingual query that searches for an English and Italian term.

This query uses the following compound operator clauses to query the collection:

• must clause to search for movie plots in English and Italian that contain the term Bella with the text operator

• mustNot clause to exclude movies released between the years 1984 to 2016 using the range operator

• should clause to specify preference for the Comedy genre with the text operator

The query uses the $project pipeline stage to:

• Exclude all fields except title, fullplot, released, and genres

• Add a field named score

db.movies.aggregate([ 
  { 
    $search: {
      "index": "multilingual-tutorial",
      "compound": {
        "must": [{ 
          "text": {
             "query": "Bella",
             "path": { "value": "fullplot", "multi": "fullplot_english" }
          }
        }], 
        "mustNot": [{ 
          "range": { 
            "path": "released", 
            "gt": ISODate("1984-01-01T00:00:00.000Z"), 
            "lt": ISODate("2016-01-01T00:00:00.000Z") 
          } 
        }], 
        "should": [{ 
          "text": { 
            "query": "Comedy",
            "path": "genres"
          } 
        }] 
      }
    }
  }, 
  { 
    $project: { 
      "_id": 0, 
      "title": 1, 
      "fullplot": 1, 
      "released": 1, 
      "genres": 1, 
      "score": { 
        "$meta": "searchScore" 
      } 
    } 
  }
])

{
  genres: [ 'Drama' ],
  title: 'The Moon in the Gutter',
  fullplot: "In Marseilles, a woman commits suicide after she is
  raped in an alley. Nightly, her brother Gerard broods at the scene
  hoping to catch the rapist. He lives with his lover Bella whom he
  neglects, an alcoholic brother who lurks about, and his father who's
  stayed drunk since the daughter's death, ignoring work and his own
  companion. At a seedy bar, Gerard meets a wealthy, nihilistic
  hedonist and his beautiful sister. Gerard flips for her and thinks
  she's his ticket out of the slum. Bella warns him otherwise and also,
  in jealousy, sets two thugs on him. Then Gerard thinks he's found
  his sister's rapist. These emotional crises force Gerard to
  choose what's most important.",
  released: ISODate("1983-05-18T00:00:00.000Z"),
  score: 3.909510850906372
},
{
  genres: [ 'Comedy' ],
  title: 'Policewoman',
  fullplot: "Giovanna e' una bella ragazza, ma ha qualche problema
  con gli uomini: tutti la vogliono solo usare, anche il suo fidanzata
  Claudio. Trovera' una via d'uscita diventando vigile urbano. Come
  Giovanna d'Arco, il suo idolo, non guardera' in faccia a nessuno
  e con l'aiuto del pretore Patane', innamorato di lei, smascherera'
  una serie di intrallazzi e corruzione denunciando perfino il suo
  capo, Marcellini. I due paladini della giustizia coroneranno il
  loro sogno d'amore, trasferiti in una lontana isoletta a sud della
  Sicilia, ma i corrotti resteranno al loro posto.",
  released: ISODate("1974-11-15T00:00:00.000Z"),
  score: 3.4253346920013428
},
{
  genres: [ 'Comedy' ],
  title: 'Love and Larceny',
  fullplot: `Gerardo è un attore o almeno cerca di esserlo, ma il
  pubblico non è del suo parere. Cosè, per arrotondare gli
  introiti, aiuta l'amico Lallo in un suo "lavoretto". Questo gli
  costa perè la prigione, dove incontra Chinotto e Gloria Patri.
  Uscito inizia, con l'opposizione di Annalisa che lo vuole sposare,
  una carriera come truffatore, dapprima in societè con Chinotto e
  quindi con la bella Elena. Tutto sembra filare a gonfie vele, e le
  truffe divengono sempre piè grosse e di successo. Ma a volte è
  destino che il ragno resti preso dalla stessa tela che tesse.`,
  released: ISODate("1960-02-10T00:00:00.000Z"),
  score: 3.363344430923462
},
{
  genres: [ 'Horror' ],
  title: 'Tales That Witness Madness',
  fullplot: "Dr Tremayne is an enigmatic Psychiatrist running a
  Futuristic asylum housing four very special cases. Visited by
  colleague Nicholas, Tremayne explains his amazing and controversial
  theories as to why each of the four patients went mad... cue four
  distinct tales each with a different set of characters: 'Mr
  Tiger' tells of Paul, the sensitive and troubled young son of
  prosperous but constantly bickering and unlovely parents, and the
  boy's 'imaginary' friend, a tiger. 'Penny Farthing' tells of Timothy,
  an antique store owner propelled backwards in time by a
  penny-farthing bicycle in his shop, all the while being watched over
  by the constantly changing photograph of Uncle Albert, which endangers
  the lives of both Timothy and his beautiful wife, Ann. 'Mel' tells of
  Brian, a man who brings home an old dead tree and prominently
  displays it in his living room as a work of art. His fiery wife Bella
  soon becomes jealous of the tree, which the husband has lovingly
  named Mel, and it seems to be developing a will of its own. 'Luau'
  tells of Auriol, a flamboyant and ambitious literary agent who will
  do anything to impress her sinister new client, though he seems more
  interested in Auriol's beautiful and precocious young daughter Ginny.
  Ginny sneaks off on holiday while Auriol plans a sumptuous feast
  for her client.",
  released: ISODate("1973-10-31T00:00:00.000Z"),
  score: 1.9502882957458496
}

Connect to your cluster in MongoDB Compass.

Open MongoDB Compass and connect to your cluster. For detailed instructions on connecting, see Connect via Compass.

Use the movies collection in the sample_mflix database.

On the Database screen, click the sample_mflix database, then click the movies collection.

Run an Atlas Search multilingual query that searches for an Italian term.

This query uses the following compound operator clauses to query the collection:

• must clause to search for movie plots in Italian that contain the term coppia with the text operator

• mustNot clause to exclude movies released between the years 2000 to 2009 using the range operator

• should clause to specify preference for the Drama genre with the text operator

The query uses the $project pipeline stage to:

• Exclude all fields except title, fullplot, released, and genres

• Add a field named score

To run this query in MongoDB Compass:

1. Click the Aggregations tab.

2. Click Select..., then configure each of the following pipeline stages by selecting the stage from the dropdown and adding the query for that stage. Click Add Stage to add additional stages.

   Pipeline Stage	Query
   $search	{ "index": "multilingual-tutorial", "compound": { "must": [{ "text": { "path": "fullplot", "query": "coppia" } }], "mustNot": [{ "range": { "path": "released", "gt": ISODate("2000-01-01T00:00:00.000Z"), "lt": ISODate("2009-01-01T00:00:00.000Z") } }], "should": [{ "text": { "query": "Drama", "path": "genres" } }] } }
   $project	{ "_id": 0, "title": 1, "fullplot": 1, "released": 1, "genres": 1, "score": { "$meta": "searchScore" } }

If you enabled Auto Preview, MongoDB Compass displays the following documents next to the $project pipeline stage:

{
  genres: [ 'Drama' ],
  title: 'Donzoko',
  fullplot: `Una coppia di gretti usurai gestisce uno squallido
  dormitorio, nei pressi di una discarica. Una folla di larve e
  relitti umani affolla il locale: un ex attore alcolizzato; una
  prostituta; un fabbro che sragiona; disoccupati ed altri ancora.
  In tutti c'è la ricerca della fuga dalla loro miseranda esistenza,
  attraverso alcool, gioco, sogni. Arriva un giorno al dormitorio
  un vecchio e saggio pellegrino, che porta in tutti una nota di
  speranza con la sua filosofia e la sua umanitè. Ma il sogno dura
  poco : lo sconforto torna ad impadronirsi di tutti, al punto da
  portare l'ex attore al suicidio e gli altri a ribellarsi ai due
  gestori. Ispirato ad un dramma di Gorkij, il film parla della parte
  sconfitta dell'umanitè, dei vinti, dei falliti, dei rifiutati
  dalla societè "civile".`,
  released: ISODate("1957-10-01T00:00:00.000Z"),
  score: 4.606284141540527
},
{
  genres: [ 'Mystery', 'Thriller' ],
  title: 'Compartiment tueurs',
  fullplot: "Sei persone viaggiano in un vagone-letto da Marsiglia a
  Parigi. All'arrivo, un donna viene trovata morta nella sua cuccetta.
  La polizia si mette alla ricerca delle altre persone, sospettando
  possa essere stato uno degli altri cinque passeggeri a commettere
  l'omicidio, ma questi sono uccisi uno ad uno. Gli ultimi due (una
  coppia di ragazzi conosciutisi per caso nella carrozza) decidono di
  cercare di risolvere il caso, per non essere uccisi a loro volta,
  rischiando comunque di esserlo. Con il loro aiuto il caso viene
  risolto: un giovane e squattrinato studente, amante di una ricca ed
  attempata attrice (una delle vittime) ha organizzato gli omicidi
  con il suo amante, un giovane poliziotto nevrotico, per derubare la
  donna e fuggire insieme in Africa; per cui bisognava uccidere tutti
  i componenti del vagone-letto per non destare sospetti. Alla fine,
  dopo un inseguimento notturno per le vie di Parigi, lo studente
  viene arrestato ed il complice si suicida per non essere catturato.",
  released: ISODate("1965-11-17T00:00:00.000Z"),
  score: 3.9604406356811523
}

Connect to your cluster in MongoDB Compass.

Open MongoDB Compass and connect to your cluster. For detailed instructions on connecting, see Connect via Compass.

Use the movies collection in the sample_mflix database.

On the Database screen, click the sample_mflix database, then click the movies collection.

Run an Atlas Search multilingual query that searches for an English and Italian term.

This query uses the following compound operator clauses to query the collection:

• must clause to search for movie plots in English and Italian that contain the term Bella with the text operator

• mustNot clause to exclude movies released between the years 1984 to 2016 using the range operator

• should clause to specify preference for the Comedy genre with the text operator

The query uses the $project pipeline stage to:

• Exclude all fields except title, fullplot, released, and genres

• Add a field named score

To run this query in MongoDB Compass:

1. Click the Aggregations tab.

2. Click Select..., then configure each of the following pipeline stages by selecting the stage from the dropdown and adding the query for that stage. Click Add Stage to add additional stages.

   Pipeline Stage	Query
   $search	{ "index": "multilingual-tutorial", "compound": { "must": [{ "text": { "path": {"value": "fullplot", "multi": "fullplot_english"}, "query": "Bella" } }], "mustNot": [{ "range": { "path": "released", "gt": ISODate("1984-01-01T00:00:00.000Z"), "lt": ISODate("2016-01-01T00:00:00.000Z") } }], "should": [{ "text": { "query": "Comedy", "path": "genres" } }] } }
   $project	{ "_id": 0, "title": 1, "fullplot": 1, "released": 1, "genres": 1, "score": { "$meta": "searchScore" } }

If you enabled Auto Preview, MongoDB Compass displays the following documents next to the $project pipeline stage:

{
  genres: [ 'Drama' ],
  title: 'The Moon in the Gutter',
  fullplot: "In Marseilles, a woman commits suicide after she is
  raped in an alley. Nightly, her brother Gerard broods at the scene
  hoping to catch the rapist. He lives with his lover Bella whom he
  neglects, an alcoholic brother who lurks about, and his father who's
  stayed drunk since the daughter's death, ignoring work and his own
  companion. At a seedy bar, Gerard meets a wealthy, nihilistic
  hedonist and his beautiful sister. Gerard flips for her and thinks
  she's his ticket out of the slum. Bella warns him otherwise and also,
  in jealousy, sets two thugs on him. Then Gerard thinks he's found
  his sister's rapist. These emotional crises force Gerard to
  choose what's most important.",
  released: ISODate("1983-05-18T00:00:00.000Z"),
  score: 3.909510850906372
},
{
  genres: [ 'Comedy' ],
  title: 'Policewoman',
  fullplot: "Giovanna e' una bella ragazza, ma ha qualche problema
  con gli uomini: tutti la vogliono solo usare, anche il suo fidanzata
  Claudio. Trovera' una via d'uscita diventando vigile urbano. Come
  Giovanna d'Arco, il suo idolo, non guardera' in faccia a nessuno
  e con l'aiuto del pretore Patane', innamorato di lei, smascherera'
  una serie di intrallazzi e corruzione denunciando perfino il suo
  capo, Marcellini. I due paladini della giustizia coroneranno il
  loro sogno d'amore, trasferiti in una lontana isoletta a sud della
  Sicilia, ma i corrotti resteranno al loro posto.",
  released: ISODate("1974-11-15T00:00:00.000Z"),
  score: 3.4253346920013428
},
{
  genres: [ 'Comedy' ],
  title: 'Love and Larceny',
  fullplot: `Gerardo è un attore o almeno cerca di esserlo, ma il
  pubblico non è del suo parere. Cosè, per arrotondare gli
  introiti, aiuta l'amico Lallo in un suo "lavoretto". Questo gli
  costa perè la prigione, dove incontra Chinotto e Gloria Patri.
  Uscito inizia, con l'opposizione di Annalisa che lo vuole sposare,
  una carriera come truffatore, dapprima in societè con Chinotto e
  quindi con la bella Elena. Tutto sembra filare a gonfie vele, e le
  truffe divengono sempre piè grosse e di successo. Ma a volte è
  destino che il ragno resti preso dalla stessa tela che tesse.`,
  released: ISODate("1960-02-10T00:00:00.000Z"),
  score: 3.363344430923462
},
{
  genres: [ 'Horror' ],
  title: 'Tales That Witness Madness',
  fullplot: "Dr Tremayne is an enigmatic Psychiatrist running a
  Futuristic asylum housing four very special cases. Visited by
  colleague Nicholas, Tremayne explains his amazing and controversial
  theories as to why each of the four patients went mad... cue four
  distinct tales each with a different set of characters: 'Mr
  Tiger' tells of Paul, the sensitive and troubled young son of
  prosperous but constantly bickering and unlovely parents, and the
  boy's 'imaginary' friend, a tiger. 'Penny Farthing' tells of Timothy,
  an antique store owner propelled backwards in time by a
  penny-farthing bicycle in his shop, all the while being watched over
  by the constantly changing photograph of Uncle Albert, which endangers
  the lives of both Timothy and his beautiful wife, Ann. 'Mel' tells of
  Brian, a man who brings home an old dead tree and prominently
  displays it in his living room as a work of art. His fiery wife Bella
  soon becomes jealous of the tree, which the husband has lovingly
  named Mel, and it seems to be developing a will of its own. 'Luau'
  tells of Auriol, a flamboyant and ambitious literary agent who will
  do anything to impress her sinister new client, though he seems more
  interested in Auriol's beautiful and precocious young daughter Ginny.
  Ginny sneaks off on holiday while Auriol plans a sumptuous feast
  for her client.",
  released: ISODate("1973-10-31T00:00:00.000Z"),
  score: 1.9502882957458496
}

Set up and initialize the .NET/C# project for the query.

1. Create a new directory called one-language-example and initialize your project with the dotnet new command.

   mkdir one-language-example
   cd one-language-example
   dotnet new console

2. Add the .NET/C# Driver to your project as a dependency.

   dotnet add package MongoDB.Driver

Create the query in the Program.cs file.

1. Replace the contents of the Program.cs file with the following code.

   The code example performs the following tasks:

   • Imports mongodb packages and dependencies.

   • Establishes a connection to your Atlas cluster.

   • Uses the following compound operator clauses to query the collection:

     • must clause to search for movie plots in Italian that contain the term coppia with the text operator

     • mustNot clause to exclude movies released between the years 2000 to 2009 using the range operator

     • should clause to specify preference for the Drama genre with the text operator

     The query uses the $project pipeline stage to:

     • Exclude all fields except title, fullplot, released, and genres

     • Add a field named score

   • Iterates over the cursor to print the documents that match the query.

   1
   using MongoDB.Bson;
   2
   using MongoDB.Bson.Serialization.Attributes;
   3
   using MongoDB.Bson.Serialization.Conventions;
   4
   using MongoDB.Driver;
   5
   using MongoDB.Driver.Search;
   6
   7
   public class OneLanguageExample
   8
   {
   9
       private const string MongoConnectionString = "<connection-string>";
   10
   11
       public static void Main(string[] args)
   12
       {
   13
           // allow automapping of the camelCase database fields to our MovieDocument
   14
           var camelCaseConvention = new ConventionPack { new CamelCaseElementNameConvention() };
   15
           ConventionRegistry.Register("CamelCase", camelCaseConvention, type => true);
   16
   17
           // connect to your Atlas cluster
   18
           var mongoClient = new MongoClient(MongoConnectionString);
   19
           var mflixDatabase = mongoClient.GetDatabase("sample_mflix");
   20
           var moviesCollection = mflixDatabase.GetCollection<MovieDocument>("movies");
   21
   22
           // declare data for compound query
   23
           var startDate = new DateTime(2000, 01, 01, 0, 0, 0, DateTimeKind.Utc);
   24
           var endDate = new DateTime(2009, 01, 01, 0, 0, 0, DateTimeKind.Utc);
   25
   26
           // define and run pipeline
   27
           var results = moviesCollection.Aggregate()
   28
               .Search(Builders<MovieDocument>.Search.Compound()
   29
                   .Must(Builders<MovieDocument>.Search.Text(movie => movie.Fullplot, "coppia"))
   30
                   .MustNot(Builders<MovieDocument>.Search.Range(movie => movie.Released, SearchRangeBuilder.Gt(startDate).Lt(endDate)))
   31
                   .Should(Builders<MovieDocument>.Search.Text(movie => movie.Genres, "Drama")),
   32
                   indexName: "multilingual-tutorial")
   33
               .Project<MovieDocument>(Builders<MovieDocument>.Projection
   34
                   .Include(movie => movie.Fullplot)
   35
                   .Include(movie => movie.Genres)
   36
                   .Include(movie => movie.Released)
   37
                   .Include(movie => movie.Title)
   38
                   .Exclude(movie => movie.Id)
   39
                   .MetaSearchScore(movie => movie.Score))
   40
               .ToList();
   41
   42
           // print results
   43
           foreach (var movie in results)
   44
           {
   45
               Console.WriteLine(movie.ToJson());
   46
           }
   47
       }
   48
   }
   49
   50
   [BsonIgnoreExtraElements]
   51
   public class MovieDocument
   52
   {
   53
       public string Fullplot { get; set; }
   54
       [BsonIgnoreIfDefault]
   55
       public ObjectId Id { get; set; }
   56
       public string [] Genres { get; set; }
   57
       public DateTime Released { get; set; }
   58
       public string Title { get; set; }   
   59
       public double Score { get; set; }
   60
   }

2. Before you run the sample, replace <connection-string> with your Atlas connection string. Ensure that your connection string includes your database user's credentials. To learn more, see Connect via Drivers.

Compile and run the Program.cs file.

dotnet run one-language-example.csproj

{
  "fullplot" : "Una coppia di gretti usurai gestisce uno squallido
  dormitorio, nei pressi di una discarica. Una folla di larve e
  relitti umani affolla il locale: un ex attore alcolizzato; una
  prostituta; un fabbro che sragiona; disoccupati ed altri ancora. In
  tutti c'è la ricerca della fuga dalla loro miseranda esistenza,
  attraverso alcool, gioco, sogni. Arriva un giorno al dormitorio un
  vecchio e saggio pellegrino, che porta in tutti una nota di speranza
  con la sua filosofia e la sua umanitè. Ma il sogno dura poco : lo
  sconforto torna ad impadronirsi di tutti, al punto da portare l'ex
  attore al suicidio e gli altri a ribellarsi ai due gestori. Ispirato
  ad un dramma di Gorkij, il film parla della parte sconfitta
  dell'umanitè, dei vinti, dei falliti, dei rifiutati dalla societè
  \"civile\".",
  "genres" : ["Drama"],
  "released" : ISODate("1957-10-01T00:00:00Z"),
  "title" : "Donzoko",
  "score" : 4.6062841415405273
}
{
  "fullplot" : "Sei persone viaggiano in un vagone-letto da Marsiglia
  a Parigi. All'arrivo, un donna viene trovata morta nella sua
  cuccetta. La polizia si mette alla ricerca delle altre persone,
  sospettando possa essere stato uno degli altri cinque passeggeri a
  commettere l'omicidio, ma questi sono uccisi uno ad uno. Gli ultimi
  due (una coppia di ragazzi conosciutisi per caso nella carrozza)
  decidono di cercare di risolvere il caso, per non essere uccisi a
  loro volta, rischiando comunque di esserlo. Con il loro aiuto il
  caso viene risolto: un giovane e squattrinato studente, amante di
  una ricca ed attempata attrice (una delle vittime) ha organizzato
  gli omicidi con il suo amante, un giovane poliziotto nevrotico, per
  derubare la donna e fuggire insieme in Africa; per cui bisognava
  uccidere tutti i componenti del vagone-letto per non destare
  sospetti. Alla fine, dopo un inseguimento notturno per le vie di
  Parigi, lo studente viene arrestato ed il complice si suicida per
  non essere catturato.",
  "genres" : ["Mystery", "Thriller"],
  "released" : ISODate("1965-11-17T00:00:00Z"),
  "title" : "Compartiment tueurs",
  "score" : 3.9604406356811523
}

Set up and initialize the .NET/C# project for the query.

1. Create a new directory called two-languages-example and initialize your project with the dotnet new command.

   mkdir two-languages-example
   cd two-languages-example
   dotnet new console

2. Add the .NET/C# Driver to your project as a dependency.

   dotnet add package MongoDB.Driver

Create the query in the Program.cs file.

1. Replace the contents of the Program.cs file with the following code.

   The code example performs the following tasks:

   • Imports mongodb packages and dependencies.

   • Establishes a connection to your Atlas cluster.

   • Uses the following compound operator clauses to query the collection:

     • must clause to search for movie plots in English and Italian that contain the term Bella with the text operator

     • mustNot clause to exclude movies released between the years 1984 to 2016 using the range operator

     • should clause to specify preference for the Comedy genre with the text operator

     The query uses the $project pipeline stage to:

     • Exclude all fields except title, fullplot, released, and genres

     • Add a field named score

   • Iterates over the cursor to print the documents that match the query.

   1
   using MongoDB.Bson;
   2
   using MongoDB.Bson.Serialization.Attributes;
   3
   using MongoDB.Bson.Serialization.Conventions;
   4
   using MongoDB.Driver;
   5
   using MongoDB.Driver.Search;
   6
   7
   public class TwoLanguagesExample
   8
   {
   9
       private const string MongoConnectionString = "<connection-string>";
   10
   11
       public static void Main(string[] args)
   12
       {
   13
           // allow automapping of the camelCase database fields to our MovieDocument
   14
           var camelCaseConvention = new ConventionPack { new CamelCaseElementNameConvention() };
   15
           ConventionRegistry.Register("CamelCase", camelCaseConvention, type => true);
   16
   17
           // connect to your Atlas cluster
   18
           var mongoClient = new MongoClient(MongoConnectionString);
   19
           var mflixDatabase = mongoClient.GetDatabase("sample_mflix");
   20
           var moviesCollection = mflixDatabase.GetCollection<MovieDocument>("movies");
   21
   22
           // declare data for compound query
   23
           var startDate = new DateTime(1984, 01, 01, 0, 0, 0, DateTimeKind.Utc);
   24
           var endDate = new DateTime(2016, 01, 01, 0, 0, 0, DateTimeKind.Utc);
   25
   26
           // define and run pipeline
   27
           var results = moviesCollection.Aggregate()
   28
               .Search(Builders<MovieDocument>.Search.Compound()
   29
                   .Must(Builders<MovieDocument>.Search.Text(Builders<MovieDocument>.SearchPath.Analyzer(movie => movie.Fullplot, "fullplot_english"), "Bella"))
   30
                   .MustNot(Builders<MovieDocument>.Search.Range(movie => movie.Released, SearchRangeBuilder.Gt(startDate).Lt(endDate)))
   31
                   .Should(Builders<MovieDocument>.Search.Text(movie => movie.Genres, "Comedy")),
   32
                   indexName: "multilingual-tutorial")
   33
               .Project<MovieDocument>(Builders<MovieDocument>.Projection
   34
                   .Include(movie => movie.Fullplot)
   35
                   .Include(movie => movie.Genres)
   36
                   .Include(movie => movie.Released)
   37
                   .Include(movie => movie.Title)
   38
                   .Exclude(movie => movie.Id)
   39
                   .MetaSearchScore(movie => movie.Score))
   40
               .ToList();
   41
   42
           // print results
   43
           foreach (var movie in results)
   44
           {
   45
               Console.WriteLine(movie.ToJson());
   46
           }
   47
       }
   48
   }
   49
   50
   [BsonIgnoreExtraElements]
   51
   public class MovieDocument
   52
   {
   53
       public string Fullplot { get; set; }
   54
       [BsonIgnoreIfDefault]
   55
       public ObjectId Id { get; set; }
   56
       public string [] Genres { get; set; }
   57
       public DateTime Released { get; set; }
   58
       public string Title { get; set; }
   59
       public double Score { get; set; }
   60
   }

2. Before you run the sample, replace <connection-string> with your Atlas connection string. Ensure that your connection string includes your database user's credentials. To learn more, see Connect via Drivers.

Compile and run the Program.cs file.

dotnet run two-languages-example.csproj

{
  "fullplot" : "In Marseilles, a woman commits suicide after she is
  raped in an alley. Nightly, her brother Gerard broods at the scene
  hoping to catch the rapist. He lives with his lover Bella whom he
  neglects, an alcoholic brother who lurks about, and his father who's
  stayed drunk since the daughter's death, ignoring work and his own
  companion. At a seedy bar, Gerard meets a wealthy, nihilistic hedonist
  and his beautiful sister. Gerard flips for her and thinks she's his
  ticket out of the slum. Bella warns him otherwise and also, in
  jealousy, sets two thugs on him. Then Gerard thinks he's found his
  sister's rapist. These emotional crises force Gerard to choose what's
  most important.",
  "genres" : ["Drama"],
  "released" : ISODate("1983-05-18T00:00:00Z"),
  "title" : "The Moon in the Gutter",
  "score" : 3.9095108509063721
}
{
  "fullplot" : "Giovanna e' una bella ragazza, ma ha qualche problema
  con gli uomini: tutti la vogliono solo usare, anche il suo fidanzata
  Claudio. Trovera' una via d'uscita diventando vigile urbano. Come
  Giovanna d'Arco, il suo idolo, non guardera' in faccia a nessuno e con
  l'aiuto del pretore Patane', innamorato di lei, smascherera' una serie
  di intrallazzi e corruzione denunciando perfino il suo capo,
  Marcellini. I due paladini della giustizia coroneranno il loro sogno
  d'amore, trasferiti in una lontana isoletta a sud della Sicilia, ma i
  corrotti resteranno al loro posto.",
  "genres" : ["Comedy"],
  "released" : ISODate("1974-11-15T00:00:00Z"),
  "title" : "Policewoman",
  "score" : 3.4253346920013428
}
{
  "fullplot" : "Gerardo è un attore o almeno cerca di esserlo, ma il
  pubblico non è del suo parere. Cosè, per arrotondare gli introiti,
  aiuta l'amico Lallo in un suo \"lavoretto\". Questo gli costa perè la
  prigione, dove incontra Chinotto e Gloria Patri. Uscito inizia, con
  l'opposizione di Annalisa che lo vuole sposare, una carriera come
  truffatore, dapprima in societè con Chinotto e quindi con la bella
  Elena. Tutto sembra filare a gonfie vele, e le truffe divengono sempre
  piè grosse e di successo. Ma a volte è destino che il ragno resti
  preso dalla stessa tela che tesse.",
  "genres" : ["Comedy"],
  "released" : ISODate("1960-02-10T00:00:00Z"),
  "title" : "Love and Larceny",
  "score" : 3.3633444309234619
}
{
  "fullplot" : "Dr Tremayne is an enigmatic Psychiatrist running a
  Futuristic asylum housing four very special cases. Visited by
  colleague Nicholas, Tremayne explains his amazing and controversial
  theories as to why each of the four patients went mad... cue four
  distinct tales each with a different set of characters: 'Mr Tiger'
  tells of Paul, the sensitive and troubled young son of prosperous but
  constantly bickering and unlovely parents, and the boy's 'imaginary'
  friend, a tiger. 'Penny Farthing' tells of Timothy, an antique store
  owner propelled backwards in time by a penny-farthing bicycle in his
  shop, all the while being watched over by the constantly changing
  photograph of Uncle Albert, which endangers the lives of both Timothy
  and his beautiful wife, Ann. 'Mel' tells of Brian, a man who brings
  home an old dead tree and prominently displays it in his living room
  as a work of art. His fiery wife Bella soon becomes jealous of the
  tree, which the husband has lovingly named Mel, and it seems to be
  developing a will of its own. 'Luau' tells of Auriol, a flamboyant and
  ambitious literary agent who will do anything to impress her sinister
  new client, though he seems more interested in Auriol's beautiful and
  precocious young daughter Ginny. Ginny sneaks off on holiday while
  Auriol plans a sumptuous feast for her client.",
  "genres" : ["Horror"],
  "released" : ISODate("1973-10-31T00:00:00Z"),
  "title" : "Tales That Witness Madness",
  "score" : 1.9502882957458496
}

Run an Atlas Search multilingual query that searches for an Italian term.

1. Create a file named one-language-query.go.

2. Copy and paste the following code into the one-language-query.go file.

   The code example performs the following tasks:

   • Imports mongodb packages and dependencies.

   • Establishes a connection to your Atlas cluster.

   • Uses the following compound operator clauses to query the collection:

     • must clause to search for movie plots in Italian that contain the term coppia with the text operator

     • mustNot clause to exclude movies released between the years 2000 to 2009 using the range operator

     • should clause to specify preference for the Drama genre with the text operator

     The query uses the $project pipeline stage to:

     • Exclude all fields except title, fullplot, released, and genres

     • Add a field named score

   • Iterates over the cursor to print the documents that match the query.

   1
   package main
   2
   3
   import (
   4
   	"context"
   5
   	"fmt"
   6
   	"time"
   7
   8
   	"go.mongodb.org/mongo-driver/bson"
   9
   	"go.mongodb.org/mongo-driver/mongo"
   10
   	"go.mongodb.org/mongo-driver/mongo/options"
   11
   )
   12
   13
   func main() {
   14
   	// connect to your Atlas cluster
   15
   	client, err := mongo.Connect(context.TODO(), options.Client().ApplyURI("<connection-string>"))
   16
   	if err != nil {
   17
   		panic(err)
   18
   	}
   19
   	defer client.Disconnect(context.TODO())
   20
   21
   	// set namespace
   22
   	collection := client.Database("sample_mflix").Collection("movies")
   23
   24
   	// define pipeline stages
   25
   	searchStage := bson.D{{"$search", bson.M{
   26
   		"index": "multilingual-tutorial",
   27
   		"compound": bson.M{
   28
   			"must": bson.D{
   29
   				{"text", bson.M{
   30
   					"path": "fullplot", "query": "coppia",
   31
   				}}},
   32
   			"mustNot": bson.M{
   33
   				"range": bson.M{
   34
   					"path": "released",
   35
   					"gt":   time.Date(2000, time.January, 1, 0, 0, 0, 0, time.UTC),
   36
   					"lt":   time.Date(2009, time.January, 1, 0, 0, 0, 0, time.UTC),
   37
   				}},
   38
   			"should": bson.D{
   39
   				{"text", bson.M{
   40
   					"path": "genres", "query": "Drama",
   41
   				}}},
   42
   		}}}}
   43
   	projectStage := bson.D{{"$project", bson.D{{"_id", 0}, {"title", 1}, {"fullplot", 1}, {"released", 1}, {"genres", 1}, {"score", bson.D{{"$meta", "searchScore"}}}}}}
   44
   45
   	// run pipeline
   46
   	cursor, err := collection.Aggregate(context.TODO(), mongo.Pipeline{searchStage, projectStage})
   47
   	if err != nil {
   48
   		panic(err)
   49
   	}
   50
   51
   	// print results
   52
   	var results []bson.D
   53
   	if err = cursor.All(context.TODO(), &results); err != nil {
   54
   		panic(err)
   55
   	}
   56
   	for _, result := range results {
   57
   		fmt.Println(result)
   58
   	}
   59
   }

3. Before you run the sample, replace <connection-string> with your Atlas connection string. Ensure that your connection string includes your database user's credentials. To learn more, see Connect via Drivers.

4. Run the following command to query your collection:

   go run one-language-query.go

   HIDE OUTPUT

   [
     {genres [Drama]}
     {title Donzoko}
     {fullplot Una coppia di gretti usurai gestisce uno squallido
     dormitorio, nei pressi di una discarica. Una folla di larve e
     relitti umani affolla il locale: un ex attore alcolizzato; una
     prostituta; un fabbro che sragiona; disoccupati ed altri ancora.
     In tutti c'è la ricerca della fuga dalla loro miseranda
     esistenza, attraverso alcool, gioco, sogni. Arriva un giorno al
     dormitorio un vecchio e saggio pellegrino, che porta in tutti una
     nota di speranza con la sua filosofia e la sua umanitè. Ma il
     sogno dura poco : lo sconforto torna ad impadronirsi di tutti, al
     punto da portare l'ex attore al suicidio e gli altri a ribellarsi
     ai due gestori. Ispirato ad un dramma di Gorkij, il film parla
     della parte sconfitta dell'umanitè, dei vinti, dei falliti, dei
     rifiutati dalla societè "civile".}
     {released -386640000000}
     {score 4.606284141540527}
   ]
   [
     {genres [Mystery Thriller]}
     {title Compartiment tueurs}
     {fullplot Sei persone viaggiano in un vagone-letto da Marsiglia a
     Parigi. All'arrivo, un donna viene trovata morta nella sua
     cuccetta. La polizia si mette alla ricerca delle altre persone,
     sospettando possa essere stato uno degli altri cinque passeggeri
     a commettere l'omicidio, ma questi sono uccisi uno ad uno. Gli
     ultimi due (una coppia di ragazzi conosciutisi per caso nella
     carrozza) decidono di cercare di risolvere il caso, per non
     essere uccisi a loro volta, rischiando comunque di esserlo. Con
     il loro aiuto il caso viene risolto: un giovane e squattrinato
     studente, amante di una ricca ed attempata attrice (una delle
     vittime) ha organizzato gli omicidi con il suo amante, un giovane
     poliziotto nevrotico, per derubare la donna e fuggire insieme in
     Africa; per cui bisognava uccidere tutti i componenti del
     vagone-letto per non destare sospetti. Alla fine, dopo un
     inseguimento notturno per le vie di Parigi, lo studente viene
     arrestato ed il complice si suicida per non essere catturato.}
     {released -130118400000} {score 3.9604406356811523}
   ]

Run an Atlas Search multilingual query that searches for an English and Italian term.

1. Create a file named two-languages-query.go.

2. Copy and paste the following code into the two-languages-query.go file.

   The code example performs the following tasks:

   • Imports mongodb packages and dependencies.

   • Establishes a connection to your Atlas cluster.

   • Uses the following compound operator clauses to query the collection:

     • must clause to search for movie plots in English and Italian that contain the term Bella with the text operator

     • mustNot clause to exclude movies released between the years 1984 to 2016 using the range operator

     • should clause to specify preference for the Comedy genre with the text operator

     The query uses the $project pipeline stage to:

     • Exclude all fields except title, fullplot, released, and genres

     • Add a field named score

   • Iterates over the cursor to print the documents that match the query.

   1
   package main
   2
   3
   import (
   4
   	"context"
   5
   	"fmt"
   6
   	"time"
   7
   8
   	"go.mongodb.org/mongo-driver/bson"
   9
   	"go.mongodb.org/mongo-driver/mongo"
   10
   	"go.mongodb.org/mongo-driver/mongo/options"
   11
   )
   12
   13
   func main() {
   14
   	// connect to your Atlas cluster
   15
   	client, err := mongo.Connect(context.TODO(), options.Client().ApplyURI("<connection-string>"))
   16
   	if err != nil {
   17
   		panic(err)
   18
   	}
   19
   	defer client.Disconnect(context.TODO())
   20
   21
   	// set namespace
   22
   	collection := client.Database("sample_mflix").Collection("movies")
   23
   24
   	// define pipeline stages
   25
   	searchStage := bson.D{{"$search", bson.M{
   26
   		"index": "multilingual-tutorial",
   27
   		"compound": bson.M{
   28
   			"must": bson.D{
   29
   				{"text", bson.M{
   30
   					"path": bson.M{"value": "fullplot", "multi": "fullplot_english"}, "query": "Bella",
   31
   				}}},
   32
   			"mustNot": bson.M{
   33
   				"range": bson.M{
   34
   					"path": "released",
   35
   					"gt":   time.Date(1984, time.January, 1, 0, 0, 0, 0, time.UTC),
   36
   					"lt":   time.Date(2016, time.January, 1, 0, 0, 0, 0, time.UTC),
   37
   				}},
   38
   			"should": bson.D{
   39
   				{"text", bson.M{
   40
   					"path": "genres", "query": "Comedy",
   41
   				}}},
   42
   		}}}}
   43
   	projectStage := bson.D{{"$project", bson.D{{"_id", 0}, {"title", 1}, {"fullplot", 1}, {"released", 1}, {"genres", 1}, {"score", bson.D{{"$meta", "searchScore"}}}}}}
   44
   45
   	// run pipeline
   46
   	cursor, err := collection.Aggregate(context.TODO(), mongo.Pipeline{searchStage, projectStage})
   47
   	if err != nil {
   48
   		panic(err)
   49
   	}
   50
   51
   	// print results
   52
   	var results []bson.D
   53
   	if err = cursor.All(context.TODO(), &results); err != nil {
   54
   		panic(err)
   55
   	}
   56
   	for _, result := range results {
   57
   		fmt.Println(result)
   58
   	}
   59
   }

3. Before you run the sample, replace <connection-string> with your Atlas connection string. Ensure that your connection string includes your database user's credentials. To learn more, see Connect via Drivers.

4. Run the following command to query your collection:

   go run two-languages-query.go

   HIDE OUTPUT

   [
     {genres [Drama]}
     {title The Moon in the Gutter}
     {fullplot In Marseilles, a woman commits suicide after she is raped
     in an alley. Nightly, her brother Gerard broods at the scene
     hoping to catch the rapist. He lives with his lover Bella whom he
     neglects, an alcoholic brother who lurks about, and his father
     who's stayed drunk since the daughter's death, ignoring work and his
     own companion. At a seedy bar, Gerard meets a wealthy, nihilistic
     hedonist and his beautiful sister. Gerard flips for her and thinks
     she's his ticket out of the slum. Bella warns him otherwise and
     also, in jealousy, sets two thugs on him. Then Gerard thinks he's
     found his sister's rapist. These emotional crises force Gerard to
     choose what's most important.}
     {released 422064000000}
     {score 3.909510850906372}
   ]
   [
     {genres [Comedy]}
     {title Policewoman}
     {fullplot Giovanna e' una bella ragazza, ma ha qualche problema con
     gli uomini: tutti la vogliono solo usare, anche il suo fidanzata
     Claudio. Trovera' una via d'uscita diventando vigile urbano. Come
     Giovanna d'Arco, il suo idolo, non guardera' in faccia a nessuno e con
     l'aiuto del pretore Patane', innamorato di lei, smascherera' una serie
     di intrallazzi e corruzione denunciando perfino il suo capo, Marcellini.
     I due paladini della giustizia coroneranno il loro sogno d'amore,
     trasferiti in una lontana isoletta a sud della Sicilia, ma i
     corrotti resteranno al loro posto.}
     {released 153705600000}
     {score 3.4253346920013428}
   ]
   [
     {genres [Comedy]}
     {title Love and Larceny}
     {fullplot Gerardo è un attore o almeno cerca di esserlo, ma il pubblico
     non è del suo parere. Cosè, per arrotondare gli introiti, aiuta l'amico
     Lallo in un suo "lavoretto". Questo gli costa perè la prigione,
     dove incontra Chinotto e Gloria Patri. Uscito inizia, con l'opposizione
     di Annalisa che lo vuole sposare, una carriera come truffatore, dapprima
     in societè con Chinotto e quindi con la bella Elena. Tutto sembra filare
     a gonfie vele, e le truffe divengono sempre piè grosse e di
     successo. Ma a volte è destino che il ragno resti preso dalla stessa
     tela che tesse.}
     {released -312163200000}
     {score 3.363344430923462}
   ]
   [
     {genres [Horror]}
     {title Tales That Witness Madness}
     {fullplot Dr Tremayne is an enigmatic Psychiatrist running a Futuristic
     asylum housing four very special cases. Visited by colleague Nicholas,
     Tremayne explains his amazing and controversial theories as to why each of
     the four patients went mad... cue four distinct tales each with a different
     set of characters: 'Mr Tiger' tells of Paul, the sensitive and troubled
     young son of prosperous but constantly bickering and unlovely parents,
     and the boy's 'imaginary' friend, a tiger. 'Penny Farthing' tells of
     Timothy, an antique store owner propelled backwards in time by a
     penny-farthing bicycle in his shop, all the while being watched over by
     the constantly changing photograph of Uncle Albert, which endangers the
     lives of both Timothy and his beautiful wife, Ann. 'Mel' tells of Brian,
     a man who brings home an old dead tree and prominently displays it in
     his living room as a work of art. His fiery wife Bella soon becomes
     jealous of the tree, which the husband has lovingly named Mel, and it
     seems to be developing a will of its own. 'Luau' tells of Auriol, a
     flamboyant and ambitious literary agent who will do anything to impress
     her sinister new client, though he seems more interested in Auriol's
     beautiful and precocious young daughter Ginny. Ginny sneaks off on
     holiday while Auriol plans a sumptuous feast for her client.}
     {released 120873600000}
     {score 1.9502882957458496}
   ]

Ensure that your CLASSPATH contains the following libraries.

Run an Atlas Search multilingual query that searches for an Italian term.

1. Create a file named OneLanguageQuery.java.

2. Copy and paste the following code into the OneLanguageQuery.java file.

   The code example performs the following tasks:

   • Imports mongodb packages and dependencies.

   • Establishes a connection to your Atlas cluster.

   • Uses the following compound operator clauses to query the collection:

     • must clause to search for movie plots in Italian that contain the term coppia with the text operator

     • mustNot clause to exclude movies released between the years 2000 to 2009 using the range operator

     • should clause to specify preference for the Drama genre with the text operator

     The query uses the $project pipeline stage to:

     • Exclude all fields except title, fullplot, released, and genres

     • Add a field named score

   • Iterates over the cursor to print the documents that match the query.

   1
   import java.util.Arrays;
   2
   3
   import static com.mongodb.client.model.Aggregates.project;
   4
   import static com.mongodb.client.model.Projections.*;
   5
   import com.mongodb.client.MongoClient;
   6
   import com.mongodb.client.MongoClients;
   7
   import com.mongodb.client.MongoCollection;
   8
   import com.mongodb.client.MongoDatabase;
   9
   import org.bson.Document;
   10
   11
   public class OneLanguageQuery {
   12
       public static void main( String[] args ) {
   13
           // define clauses
   14
           List<Document> mustClauses =
   15
              List.of( new Document(
   16
                 "text", new Document("path", "fullplot").append("query", "coppia")));
   17
           List<Document> mustNotClauses =
   18
              List.of( new Document(
   19
                 "range", new Document("path", "released")
   20
                 .append("gt", Date.from(Instant.parse("2000-01-01T00:00:00.000Z")))
   21
                 .append("lt", Date.from(Instant.parse("2009-01-01T00:00:00.000Z")))));
   22
           List<Document> shouldClauses =
   23
               List.of(
   24
                   new Document("text",
   25
                       new Document("query", "Drama")
   26
                           .append("path", "genres"))); 
   27
           // define query
   28
           Document agg = 
   29
               new Document( "$search",
   30
                   new Document( "index", "multilingual-tutorial")
   31
                   .append("compound",
   32
                       new Document().append("must", mustClauses)
   33
                       .append("mustNot", mustNotClauses)
   34
                       .append("should", shouldClauses)));
   35
           
   36
           // specify connection
   37
           String uri = "<connection-string>";
   38
           
   39
           // establish connection and set namespace
   40
           try (MongoClient mongoClient = MongoClients.create(uri)) {
   41
             MongoDatabase database = mongoClient.getDatabase("sample_mflix");
   42
             MongoCollection<Document> collection = database.getCollection("movies");
   43
             
   44
             // run query and print results
   45
             collection.aggregate(Arrays.asList(agg, 
   46
             project(fields(
   47
                 excludeId(), 
   48
                 include("title", "fullplot", "released", "genres"), 
   49
                 computed("score", new Document("$meta", "searchScore"))))))
   50
               .forEach(doc -> System.out.println(doc.toJson()));	
   51
           }
   52
         }
   53
   }

   Note

   To run the sample code in your Maven environment, add the following code above the import statements in your file.

   package com.mongodb.drivers;

3. Before you run the sample, replace <connection-string> with your Atlas connection string. Ensure that your connection string includes your database user's credentials. To learn more, see Connect via Drivers.

4. Compile and run the OneLanguageQuery.java file.

javac OneLanguageQuery.java
java OneLanguageQuery

{
  "genres": ["Drama"],
  "title": "Donzoko",
  "fullplot":
  "Una coppia di gretti usurai gestisce uno squallido dormitorio,
  nei pressi di una discarica. Una folla di larve e relitti umani
  affolla il locale: un ex attore alcolizzato; una prostituta; un
  fabbro che sragiona; disoccupati ed altri ancora. In tutti c'è la
  ricerca della fuga dalla loro miseranda esistenza, attraverso
  alcool, gioco, sogni. Arriva un giorno al dormitorio un vecchio e
  saggio pellegrino, che porta in tutti una nota di speranza con la
  sua filosofia e la sua umanitè. Ma il sogno dura poco : lo
  sconforto torna ad impadronirsi di tutti, al punto da portare
  l'ex attore al suicidio e gli altri a ribellarsi ai due gestori.
  Ispirato ad un dramma di Gorkij, il film parla della parte
  sconfitta dell'umanitè, dei vinti, dei falliti, dei rifiutati
  dalla societè \"civile\".",
  "released": {"$date": {"$numberLong": "-386640000000"}},
  "score": 4.606284141540527
}
{
  "genres": ["Mystery", "Thriller"],
  "title": "Compartiment tueurs",
  "fullplot":
  "Sei persone viaggiano in un vagone-letto da Marsiglia a Parigi.
  All'arrivo, un donna viene trovata morta nella sua cuccetta. La
  polizia si mette alla ricerca delle altre persone, sospettando
  possa essere stato uno degli altri cinque passeggeri a commettere
  l'omicidio, ma questi sono uccisi uno ad uno. Gli ultimi due (una
  coppia di ragazzi conosciutisi per caso nella carrozza) decidono
  di cercare di risolvere il caso, per non essere uccisi a loro
  volta, rischiando comunque di esserlo. Con il loro aiuto il caso
  viene risolto: un giovane e squattrinato studente, amante di una
  ricca ed attempata attrice (una delle vittime) ha organizzato gli
  omicidi con il suo amante, un giovane poliziotto nevrotico, per
  derubare la donna e fuggire insieme in Africa; per cui bisognava
  uccidere tutti i componenti del vagone-letto per non destare
  sospetti. Alla fine, dopo un inseguimento notturno per le vie di
  Parigi, lo studente viene arrestato ed il complice si suicida per
  non essere catturato.",
  "released": {"$date": {"$numberLong": "-130118400000"}},
  "score": 3.9604406356811523
}

Ensure that your CLASSPATH contains the following libraries.

Run an Atlas Search multilingual query that searches for an English and Italian term.

1. Create a file named TwoLanguagesQuery.java.

2. Copy and paste the following code into the TwoLanguagesQuery.java file.

   The code example performs the following tasks:

   • Imports mongodb packages and dependencies.

   • Establishes a connection to your Atlas cluster.

   • Uses the following compound operator clauses to query the collection:

     • must clause to search for movie plots in English and Italian that contain the term Bella with the text operator

     • mustNot clause to exclude movies released between the years 1984 to 2016 using the range operator

     • should clause to specify preference for the Comedy genre with the text operator

     The query uses the $project pipeline stage to:

     • Exclude all fields except title, fullplot, released, and genres

     • Add a field named score

   • Iterates over the cursor to print the documents that match the query.

   1
   import java.util.Arrays;
   2
   3
   import static com.mongodb.client.model.Aggregates.project;
   4
   import static com.mongodb.client.model.Projections.*;
   5
   import com.mongodb.client.MongoClient;
   6
   import com.mongodb.client.MongoClients;
   7
   import com.mongodb.client.MongoCollection;
   8
   import com.mongodb.client.MongoDatabase;
   9
   import org.bson.Document;
   10
   11
   public class TwoLanguagesQuery {
   12
       public static void main( String[] args ) {
   13
           // define clauses
   14
           List<Document> mustClauses =
   15
               List.of( new Document(
   16
                   "text", new Document("path", new Document("value", "fullplot").append("multi", "fullplot_english")).append("query", "Bella")));
   17
           List<Document> mustNotClauses =
   18
               List.of( new Document(
   19
                   "range", new Document("path", "released")
   20
                   .append("gt", Date.from(Instant.parse("1984-01-01T00:00:00.000Z")))
   21
                   .append("lt", Date.from(Instant.parse("2016-01-01T00:00:00.000Z")))));
   22
           List<Document> shouldClauses =
   23
               List.of(
   24
                   new Document("text",
   25
                       new Document("query", "Comedy")
   26
                           .append("path", "genres"))); 
   27
        // define query
   28
           // define query
   29
           Document agg = 
   30
               new Document( "$search",
   31
                   new Document( "index", "multilingual-tutorial")
   32
                   .append("compound",
   33
                       new Document().append("must", mustClauses)
   34
                       .append("mustNot", mustNotClauses)
   35
                       .append("should", shouldClauses))));
   36
           
   37
           // specify connection
   38
           String uri = "<connection-string>";
   39
           
   40
           // establish connection and set namespace
   41
           try (MongoClient mongoClient = MongoClients.create(uri)) {
   42
             MongoDatabase database = mongoClient.getDatabase("sample_mflix");
   43
             MongoCollection<Document> collection = database.getCollection("movies");
   44
             
   45
             // run query and print results
   46
             collection.aggregate(Arrays.asList(agg, 
   47
             project(fields(
   48
                 excludeId(), 
   49
                 include("title", "fullplot", "released", "genres"), 
   50
                 computed("score", new Document("$meta", "searchScore"))))))
   51
               .forEach(doc -> System.out.println(doc.toJson()));	
   52
           }
   53
         }
   54
   }

   Note

   To run the sample code in your Maven environment, add the following code above the import statements in your file.

   package com.mongodb.drivers;

3. Before you run the sample, replace <connection-string> with your Atlas connection string. Ensure that your connection string includes your database user's credentials. To learn more, see Connect via Drivers.

4. Compile and run the TwoLanguagesQuery.java file.

javac TwoLanguagesQuery.java
java TwoLanguagesQuery

{
  "genres": ["Drama"],
  "title": "Donzoko",
  "fullplot":
  "Una coppia di gretti usurai gestisce uno squallido dormitorio,
  nei pressi di una discarica. Una folla di larve e relitti umani
  affolla il locale: un ex attore alcolizzato; una prostituta; un
  fabbro che sragiona; disoccupati ed altri ancora. In tutti c'è la
  ricerca della fuga dalla loro miseranda esistenza, attraverso
  alcool, gioco, sogni. Arriva un giorno al dormitorio un vecchio e
  saggio pellegrino, che porta in tutti una nota di speranza con la
  sua filosofia e la sua umanitè. Ma il sogno dura poco : lo
  sconforto torna ad impadronirsi di tutti, al punto da portare
  l'ex attore al suicidio e gli altri a ribellarsi ai due gestori.
  Ispirato ad un dramma di Gorkij, il film parla della parte
  sconfitta dell'umanitè, dei vinti, dei falliti, dei rifiutati
  dalla societè \"civile\".",
  "released": {"$date": {"$numberLong": "-386640000000"}},
  "score": 4.606284141540527
}
{
  "genres": ["Drama"], "title": "The Moon in the Gutter",
  "fullplot":
  "In Marseilles, a woman commits suicide after she is
  raped in an alley. Nightly, her brother Gerard broods at the scene
  hoping to catch the rapist. He lives with his lover Bella whom he
  neglects, an alcoholic brother who lurks about, and his father
  who's stayed drunk since the daughter's death, ignoring work and
  his own companion. At a seedy bar, Gerard meets a wealthy,
  nihilistic hedonist and his beautiful sister. Gerard flips for her
  and thinks she's his ticket out of the slum. Bella warns him
  otherwise and also, in jealousy, sets two thugs on him. Then Gerard
  thinks he's found his sister's rapist. These emotional crises force
  Gerard to choose what's most important.",
  "released": {"$date": "1983-05-18T00:00:00Z"},
  "score": 3.909510850906372
}
{
  "genres": ["Comedy"],
  "title": "Policewoman",
  "fullplot":
  "Giovanna e' una bella ragazza, ma ha qualche problema con gli
  uomini: tutti la vogliono solo usare, anche il suo fidanzata
  Claudio. Trovera' una via d'uscita diventando vigile urbano. Come
  Giovanna d'Arco, il suo idolo, non guardera' in faccia a nessuno e
  con l'aiuto del pretore Patane', innamorato di lei, smascherera'
  una serie di intrallazzi e corruzione denunciando perfino il suo
  capo, Marcellini. I due paladini della giustizia coroneranno il
  loro sogno d'amore, trasferiti in una lontana isoletta a sud della
  Sicilia, ma i corrotti resteranno al loro posto.", "released":
  {"$date": "1974-11-15T00:00:00Z"}, "score": 3.4253346920013428}
  {"genres": ["Comedy"], "title": "Love and Larceny", "fullplot":
  "Gerardo è un attore o almeno cerca di esserlo, ma il pubblico non
  è del suo parere. Cosè, per arrotondare gli introiti, aiuta l'amico
  Lallo in un suo \"lavoretto\". Questo gli costa perè la prigione,
  dove incontra Chinotto e Gloria Patri. Uscito inizia, con
  l'opposizione di Annalisa che lo vuole sposare, una carriera come
  truffatore, dapprima in societè con Chinotto e quindi con la bella
  Elena. Tutto sembra filare a gonfie vele, e le truffe divengono
  sempre piè grosse e di successo. Ma a volte è destino che il ragno
  resti preso dalla stessa tela che tesse.",
  "released": {"$date": {"$numberLong": "-312163200000"}},
  "score": 3.363344430923462
}
{
  "genres": ["Horror"],
  "title": "Tales That Witness Madness",
  "fullplot":
  "Dr Tremayne is an enigmatic Psychiatrist running a Futuristic
  asylum housing four very special cases. Visited by colleague Nicholas,
  Tremayne explains his amazing and controversial theories as to why
  each of the four patients went mad... cue four distinct tales each
  with a different set of characters: 'Mr Tiger' tells of Paul, the
  sensitive and troubled young son of prosperous but constantly bickering
  and unlovely parents, and the boy's 'imaginary' friend, a tiger. 'Penny
  Farthing' tells of Timothy, an antique store owner propelled
  backwards in time by a penny-farthing bicycle in his shop, all the while
  being watched over by the constantly changing photograph of Uncle Albert,
  which endangers the lives of both Timothy and his beautiful wife, Ann.
  'Mel' tells of Brian, a man who brings home an old dead tree and
  prominently displays it in his living room as a work of art. His
  fiery wife Bella soon becomes jealous of the tree, which the husband
  has lovingly named Mel, and it seems to be developing a will of its own.
  'Luau' tells of Auriol, a flamboyant and ambitious literary agent who
  will do anything to impress her sinister new client, though he
  seems more interested in Auriol's beautiful and precocious young daughter
  Ginny. Ginny sneaks off on holiday while Auriol plans a sumptuous
  feast for her client.",
  "released": {"$date": "1973-10-31T00:00:00Z"},
  "score": 1.9502882957458496
}

Ensure that you add the following dependency to your project.

Run an Atlas Search multilingual query that searches for an Italian term.

1. Create a file named OneLanguageQuery.kt.

2. Copy and paste the following code into the OneLanguageQuery.kt file.

   The code example performs the following tasks:

   • Imports mongodb packages and dependencies.

   • Establishes a connection to your Atlas cluster.

   • Uses the following compound operator clauses to query the collection:

     • must clause to search for movie plots in Italian that contain the term coppia with the text operator

     • mustNot clause to exclude movies released between the years 2000 to 2009 using the range operator

     • should clause to specify preference for the Drama genre with the text operator

     The query uses the $project pipeline stage to:

     • Exclude all fields except title, fullplot, released, and genres

     • Add a field named score

   • Prints the documents that match the query from the AggregateFlow instance.

   1
   import com.mongodb.client.model.Aggregates.project
   2
   import com.mongodb.client.model.Projections.*
   3
   import com.mongodb.kotlin.client.coroutine.MongoClient
   4
   import kotlinx.coroutines.runBlocking
   5
   import org.bson.Document
   6
   import java.time.Instant
   7
   import java.util.*
   8
   9
   fun main() {
   10
       // establish connection and set namespace
   11
       val uri = "<connection-string>"
   12
       val mongoClient = MongoClient.create(uri)
   13
   14
       val database = mongoClient.getDatabase("sample_mflix")
   15
       val collection = database.getCollection<Document>("movies")
   16
   17
       runBlocking {
   18
           // define clauses
   19
           val mustClauses = listOf(
   20
               Document(
   21
                   "text", Document("path", "fullplot")
   22
                       .append("query", "coppia")
   23
               )
   24
           )
   25
   26
           val mustNotClauses = listOf(
   27
                   Document(
   28
                       "range",
   29
                       Document("path", "released")
   30
                           .append("gt", Date.from(Instant.parse("2000-01-01T00:00:00.000Z")))
   31
                           .append("lt", Date.from(Instant.parse("2009-01-01T00:00:00.000Z")))
   32
                   )
   33
           )
   34
   35
           val shouldClauses = listOf(
   36
               Document(
   37
                   "text",
   38
                   Document("query", "Drama")
   39
                       .append("path", "genres")
   40
               )
   41
           )
   42
   43
           // define query
   44
           val agg = Document(
   45
               "\$search",
   46
               Document("index", "multilingual-tutorial")
   47
                   .append(
   48
                       "compound",
   49
                       Document().append("must", mustClauses)
   50
                           .append("mustNot", mustNotClauses)
   51
                           .append("should", shouldClauses)
   52
                   )
   53
           )
   54
   55
           // run query and print results
   56
           val resultsFlow = collection.aggregate<Document>(
   57
               listOf(
   58
                   agg,
   59
                   project(fields(
   60
                       excludeId(),
   61
                       include("title", "fullplot", "released", "genres"),
   62
                       computed("score", Document("\$meta", "searchScore"))
   63
                   ))
   64
               )
   65
           )
   66
   67
           resultsFlow.collect { println(it) }
   68
       }
   69
   70
       mongoClient.close()
   71
   }

3. Before you run the sample, replace <connection-string> with your Atlas connection string. Ensure that your connection string includes your database user's credentials. To learn more, see Connect via Drivers.

4. Run the OneLanguageQuery.kt file.

   When you run the OneLanguageQuery.kt program in your IDE, it prints the following document:

   Document{{genres=[Mystery, Thriller], title=Compartiment tueurs, fullplot=Sei persone viaggiano in un vagone-letto da Marsiglia a Parigi. All'arrivo, un donna viene trovata morta nella sua cuccetta. La polizia si mette alla ricerca delle altre persone, sospettando possa essere stato uno degli altri cinque passeggeri a commettere l'omicidio, ma questi sono uccisi uno ad uno. Gli ultimi due (una coppia di ragazzi conosciutisi per caso nella carrozza) decidono di cercare di risolvere il caso, per non essere uccisi a loro volta, rischiando comunque di esserlo. Con il loro aiuto il caso viene risolto: un giovane e squattrinato studente, amante di una ricca ed attempata attrice (una delle vittime) ha organizzato gli omicidi con il suo amante, un giovane poliziotto nevrotico, per derubare la donna e fuggire insieme in Africa; per cui bisognava uccidere tutti i componenti del vagone-letto per non destare sospetti. Alla fine, dopo un inseguimento notturno per le vie di Parigi, lo studente viene arrestato ed il complice si suicida per non essere catturato., released=Tue Nov 16 19:00:00 EST 1965, score=4.068507194519043}}

Ensure that you add the following dependency to your project.

Run an Atlas Search multilingual query that searches for an English and Italian term.

1. Create a file named TwoLanguagesQuery.kt.

2. Copy and paste the following code into the TwoLanguagesQuery.kt file.

   The code example performs the following tasks:

   • Imports mongodb packages and dependencies.

   • Establishes a connection to your Atlas cluster.

   • Uses the following compound operator clauses to query the collection:

     • must clause to search for movie plots in English and Italian that contain the term Bella with the text operator

     • mustNot clause to exclude movies released between the years 1984 to 2016 using the range operator

     • should clause to specify preference for the Comedy genre with the text operator

     The query uses the $project pipeline stage to:

     • Exclude all fields except title, fullplot, released, and genres

     • Add a field named score

   • Prints the documents that match the query from the AggregateFlow instance.

   1
   import com.mongodb.client.model.Aggregates.project
   2
   import com.mongodb.client.model.Projections.*
   3
   import com.mongodb.kotlin.client.coroutine.MongoClient
   4
   import kotlinx.coroutines.runBlocking
   5
   import org.bson.Document
   6
   import java.time.Instant
   7
   import java.util.*
   8
   9
   fun main() {
   10
       // establish connection and set namespace
   11
       val uri = "<connection-string>"
   12
       val mongoClient = MongoClient.create(uri)
   13
       
   14
       val database = mongoClient.getDatabase("sample_mflix")
   15
       val collection = database.getCollection<Document>("movies")
   16
   17
       runBlocking {
   18
           // define clauses
   19
           val mustClauses = listOf(
   20
               Document(
   21
                   "text",
   22
                   Document("path", Document("value", "fullplot")
   23
                       .append("multi", "fullplot_english"))
   24
                       .append("query", "Bella")
   25
               )
   26
           )
   27
   28
           val mustNotClauses = listOf(
   29
               Document(
   30
                   "range", Document("path", "released")
   31
                       .append("gt", Date.from(Instant.parse("1984-01-01T00:00:00.000Z")))
   32
                       .append("lt", Date.from(Instant.parse("2016-01-01T00:00:00.000Z")))
   33
               )
   34
           )
   35
   36
           val shouldClauses = listOf(
   37
               Document(
   38
                   "text",
   39
                   Document("query", "Comedy")
   40
                       .append("path", "genres")
   41
               )
   42
           )
   43
   44
           // define query
   45
           val agg = Document(
   46
               "\$search", Document( "index", "multilingual-tutorial")
   47
               .append("compound",
   48
                   Document().append("must", mustClauses)
   49
                       .append("mustNot", mustNotClauses)
   50
                       .append("should", shouldClauses)
   51
               )
   52
           )
   53
   54
           // run query and print results
   55
           val resultsFlow = collection.aggregate<Document>(
   56
               listOf(
   57
                   agg,
   58
                   project(fields(
   59
                       excludeId(),
   60
                       include("title", "fullplot", "released", "genres"),
   61
                       computed("score", Document("\$meta", "searchScore"))
   62
                   ))
   63
               )
   64
           )
   65
           resultsFlow.collect { println(it) }
   66
       }
   67
       mongoClient.close()
   68
   }

3. Before you run the sample, replace <connection-string> with your Atlas connection string. Ensure that your connection string includes your database user's credentials. To learn more, see Connect via Drivers.

4. Run the TwoLanguagesQuery.kt file.

   When you run the TwoLanguagesQuery.kt program in your IDE, it prints the following documents:

   Document{{genres=[Drama], title=The Moon in the Gutter, fullplot=In Marseilles, a woman commits suicide after she is raped in an alley. Nightly, her brother Gerard broods at the scene hoping to catch the rapist. He lives with his lover Bella whom he neglects, an alcoholic brother who lurks about, and his father who's stayed drunk since the daughter's death, ignoring work and his own companion. At a seedy bar, Gerard meets a wealthy, nihilistic hedonist and his beautiful sister. Gerard flips for her and thinks she's his ticket out of the slum. Bella warns him otherwise and also, in jealousy, sets two thugs on him. Then Gerard thinks he's found his sister's rapist. These emotional crises force Gerard to choose what's most important., released=Tue May 17 20:00:00 EDT 1983, score=3.9086267948150635}}
   Document{{genres=[Comedy], title=Policewoman, fullplot=Giovanna e' una bella ragazza, ma ha qualche problema con gli uomini: tutti la vogliono solo usare, anche il suo fidanzata Claudio. Trovera' una via d'uscita diventando vigile urbano. Come Giovanna d'Arco, il suo idolo, non guardera' in faccia a nessuno e con l'aiuto del pretore Patane', innamorato di lei, smascherera' una serie di intrallazzi e corruzione denunciando perfino il suo capo, Marcellini. I due paladini della giustizia coroneranno il loro sogno d'amore, trasferiti in una lontana isoletta a sud della Sicilia, ma i corrotti resteranno al loro posto., released=Thu Nov 14 19:00:00 EST 1974, score=3.410970687866211}}
   Document{{genres=[Comedy], title=Love and Larceny, fullplot=Gerardo è un attore o almeno cerca di esserlo, ma il pubblico non è del suo parere. Cosè, per arrotondare gli introiti, aiuta l'amico Lallo in un suo "lavoretto". Questo gli costa perè la prigione, dove incontra Chinotto e Gloria Patri. Uscito inizia, con l'opposizione di Annalisa che lo vuole sposare, una carriera come truffatore, dapprima in societè con Chinotto e quindi con la bella Elena. Tutto sembra filare a gonfie vele, e le truffe divengono sempre piè grosse e di successo. Ma a volte è destino che il ragno resti preso dalla stessa tela che tesse., released=Tue Feb 09 19:00:00 EST 1960, score=3.349022388458252}}
   Document{{genres=[Horror], title=Tales That Witness Madness, fullplot=Dr Tremayne is an enigmatic Psychiatrist running a Futuristic asylum housing four very special cases. Visited by colleague Nicholas, Tremayne explains his amazing and controversial theories as to why each of the four patients went mad... cue four distinct tales each with a different set of characters: 'Mr Tiger' tells of Paul, the sensitive and troubled young son of prosperous but constantly bickering and unlovely parents, and the boy's 'imaginary' friend, a tiger. 'Penny Farthing' tells of Timothy, an antique store owner propelled backwards in time by a penny-farthing bicycle in his shop, all the while being watched over by the constantly changing photograph of Uncle Albert, which endangers the lives of both Timothy and his beautiful wife, Ann. 'Mel' tells of Brian, a man who brings home an old dead tree and prominently displays it in his living room as a work of art. His fiery wife Bella soon becomes jealous of the tree, which the husband has lovingly named Mel, and it seems to be developing a will of its own. 'Luau' tells of Auriol, a flamboyant and ambitious literary agent who will do anything to impress her sinister new client, though he seems more interested in Auriol's beautiful and precocious young daughter Ginny. Ginny sneaks off on holiday while Auriol plans a sumptuous feast for her client., released=Tue Oct 30 19:00:00 EST 1973, score=1.9505233764648438}}

Run an Atlas Search multilingual query that searches for an Italian term.

1. Create a file named one-language-query.js.

2. Copy and paste the following code into the one-language-query.js file.

   The code example performs the following tasks:

   • Imports mongodb, MongoDB's Node.js driver.

   • Creates an instance of the MongoClient class to establish a connection to your Atlas cluster.

   • Uses the following compound operator clauses to query the collection:

     • must clause to search for movie plots in Italian that contain the term coppia with the text operator

     • mustNot clause to exclude movies released between the years 2000 to 2009 using the range operator

     • should clause to specify preference for the Drama genre with the text operator

     The query uses the $project pipeline stage to:

     • Exclude all fields except title, fullplot, released, and genres

     • Add a field named score

   • Iterates over the cursor to print the documents that match the query.

   1
   const { MongoClient } = require("mongodb");
   2
   3
   // connect to your Atlas cluster
   4
   const uri =
   5
       "<connection-string>";
   6
       
   7
   const client = new MongoClient(uri);
   8
   9
   async function run() {
   10
       try {
   11
           await client.connect();
   12
   13
           // set namespace
   14
           const database = client.db("sample_mflix");
   15
           const coll = database.collection("movies");
   16
   17
           // define pipeline
   18
           const agg = [
   19
               { $search: { 
   20
                   index: "multilingual-tutorial",
   21
                   compound: { 
   22
                       must: [{ text: { path: "fullplot", query:  "coppia"} }], 
   23
                       mustNot: [{ range: { path: "released", gt: new Date("2000-01-01T00:00:00.000Z"), lt: new Date("2009-01-01T00:00:00.000Z") } }], 
   24
                       should: [{ text: { query: "Drama", path: "genres" }}]}}}, 
   25
               { $project: {_id: 0, title: 1, fullplot: 1, released: 1, genres: 1, score: { $meta: "searchScore" }}}
   26
           ];
   27
           // run pipeline
   28
           const result = await coll.aggregate(agg);
   29
   30
           // print results
   31
           await result.forEach((doc) => console.log(doc));
   32
       } finally {
   33
           await client.close();
   34
       }
   35
   }
   36
   run().catch(console.dir);

3. Before you run the sample, replace <connection-string> with your Atlas connection string. Ensure that your connection string includes your database user's credentials. To learn more, see Connect via Drivers.

4. Run the following command to query your collection:

   node one-language-query.js

   HIDE OUTPUT

   {
     genres: [ 'Drama' ],
     title: 'Donzoko',
     fullplot:
     `Una coppia di gretti usurai gestisce uno squallido dormitorio, nei
     pressi di una discarica. Una folla di larve e relitti umani affolla il
     locale: un ex attore alcolizzato; una prostituta; un fabbro che sragiona;
     disoccupati ed altri ancora. In tutti c\'\xe8 la ricerca della fuga dalla
     loro miseranda esistenza, attraverso alcool, gioco, sogni. Arriva un
     giorno al dormitorio un vecchio e saggio pellegrino, che porta in tutti
     una nota di speranza con la sua filosofia e la sua umanit\xe8. Ma
     il sogno dura poco : lo sconforto torna ad impadronirsi di tutti, al
     punto da portare l\'ex attore al suicidio e gli altri a ribellarsi ai
     due gestori. Ispirato ad un dramma di Gorkij, il film parla della parte
     sconfitta dell\'umanit\xe8, dei vinti, dei falliti, dei rifiutati
     dalla societ\xe8 "civile".`,
     released: 1957-10-01T00:00:00.000Z,
     score: 4.606284141540527
   }
   {
     genres: [ 'Mystery', 'Thriller' ],
     title: 'Compartiment tueurs',
     fullplot:
     "Sei persone viaggiano in un vagone-letto da Marsiglia a Parigi.
     All'arrivo, un donna viene trovata morta nella sua cuccetta. La polizia
     si mette alla ricerca delle altre persone, sospettando possa essere
     stato uno degli altri cinque passeggeri a commettere l'omicidio, ma
     questi sono uccisi uno ad uno. Gli ultimi due (una coppia di ragazzi
     conosciutisi per caso nella carrozza) decidono di cercare di risolvere
     il caso, per non essere uccisi a loro volta, rischiando comunque di
     esserlo. Con il loro aiuto il caso viene risolto: un giovane e
     squattrinato studente, amante di una ricca ed attempata attrice (una
     delle vittime) ha organizzato gli omicidi con il suo amante, un giovane
     poliziotto nevrotico, per derubare la donna e fuggire insieme in Africa;
     per cui bisognava uccidere tutti i componenti del vagone-letto per non
     destare sospetti. Alla fine, dopo un inseguimento notturno per le vie di
     Parigi, lo studente viene arrestato ed il complice si suicida per non
     essere catturato.",
     released: 1965-11-17T00:00:00.000Z,
     score: 3.9604406356811523
   }