Querying with Select

The examples in this section query a document store and retrieve specific fields from the documents.

Note: Selecting a specific field is also known as a projection. You can improve the performance of projection queries by using secondary indexes. See Using Indexes to Optimize Projections in Queries for more details.

Java

The following example shows how to retrieve the _id and address.zipCode fields from all documents in a store using the Query.select method.

/**
 * Copyright (c) 2017 MapR, 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.
 */
package com.mapr.ojai.examples;

import org.ojai.Document;
import org.ojai.DocumentStream;
import org.ojai.store.Connection;
import org.ojai.store.DocumentStore;
import org.ojai.store.DriverManager;
import org.ojai.store.Query;

public class OJAI_006_FindQueryWithSelect {

  public static void main(final String[] args) {

    System.out.println("==== Start Application ===");

    // Create an OJAI connection to MapR cluster
    final Connection connection = DriverManager.getConnection("ojai:mapr:");

    // Get an instance of OJAI DocumentStore
    final DocumentStore store = connection.getStore("/demo_table");

    // Build an OJAI query
    final Query query = connection.newQuery()
        .select("_id", "address.zipCode")
        .build();

    // fetch all OJAI Documents from this store
    final DocumentStream stream = store.find(query);

    for (final Document userDocument : stream) {
      // Print the OJAI Document
      System.out.println(userDocument.asJsonString());
    }

    // Close this instance of OJAI DocumentStore
    store.close();

    // close the OJAI connection and release any resources held by the connection
    connection.close();

    System.out.println("==== End Application ===");
  }

}

Node.js

The following example shows how to retrieve the _id and address.zipCode fields from all documents in a store using an OJAI query.

/*
 * Copyright (c) 2018 MapR, 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.
 */

const { ConnectionManager } = require('node-maprdb');

const connectionString = 'localhost:5678?' +
  'auth=basic;' +
  'user=mapr;' +
  'password=mapr;' +
  'ssl=true;' +
  'sslCA=/opt/mapr/conf/ssl_truststore.pem;' +
  'sslTargetNameOverride=node1.mapr.com';

let connection;

// Create a connection to data access server
ConnectionManager.getConnection(connectionString)
  .then((conn) => {
    connection = conn;
    // Get a store
    return connection.getStore('/demo_table');
  })
  .then((store) => {
    // Create an OJAI query
    const query = {"$select": ["_id", "address.zipCode"]};
    // fetch OJAI Documents by query
    return store.find(query);
  })
  .then((queryResult) => {
    queryResult.on('data', (document) => {
      // Print OJAI Documents from document stream
      console.log(document);
    });
    queryResult.on('end', () => {
      // close the OJAI connection
      connection.close();
    });
  });

Python

The following example shows how to retrieve the _id and address.zipCode fields from all documents in a store using an OJAI query.

from mapr.ojai.storage.ConnectionFactory import ConnectionFactory

# Create a connection to data access server
connection_str = "localhost:5678?auth=basic;user=mapr;password=mapr;" \
          "ssl=true;" \
          "sslCA=/opt/mapr/conf/ssl_truststore.pem;" \
          "sslTargetNameOverride=node1.mapr.com"
connection = ConnectionFactory.get_connection(connection_str=connection_str)

# Get a store and assign it as a DocumentStore object
store = connection.get_store('/demo_table')

# Create an OJAI query
query = {"$select": ["_id", "address.zipCode"]}

# options for find request
options = {
    'ojai.mapr.query.result-as-document': True
    }

# fetch OJAI Documents by query
query_result = store.find(query, options=options)

# Print OJAI Documents from document stream
for doc in query_result:
    print(doc.as_dictionary())

# close the OJAI connection
connection.close()

dbshell

The following two dbshell commands are equivalent to the code examples. See dbshell find or findbyid for more details about the syntax dbshell provides.

# mapr dbshell
maprdb root:> find /demo_table --query {"$select":["_id","address.zipcode"]}

maprdb root:> find /demo_table --fields _id,address.zipcode

C#

The following example shows how to retrieve the _id and address.zipCode fields from all documents in a store using an OJAI query.

using System;
using MapRDB.Driver;
using MapRDB.Driver.Ojai;

public class FindQueryWithSelect
{
	public async void FindQueryWithSelect()
	{
        // Create a connection to data access server
        var connectionStr = $"localhost:5678?auth=basic;" +
            $"user=mapr;" +
            $"password=mapr;" +
            $"ssl=true;" +
            $"sslCA=/opt/mapr/conf/ssl_truststore.pem;" +
            $"sslTargetNameOverride=node1.mapr.com";
        var connection = ConnectionFactory.CreateConnection(connectionStr);

        // Get a store and assign it as a DocumentStore object
        var store = connection.GetStore("/demo_table");

        //Create an OJAI query
        var query = connection.NewQuery().Select("_id", "address.zipCode").Build();

        // Options for find request
        var options = new QueryOptions(1000, true);

        // Fetch OJAI Documents by query
        var queryResult = store.Find(query, options);

        var documentStream = await queryResult.GetDocumentAsyncStream().GetAllDocuments();
        // Print OJAI Documents from document stream
        foreach (var document in documentStream)
        {
            Console.WriteLine(document.ToDictionary());
        }

        // Close the OJAI connection
        connection.Close();
    }
}

Go

The following example shows how to retrieve the _id and address.zipCode fields from all documents in a store using an OJAI query.

package main

import (
	"fmt"
	client "github.com/mapr/private-maprdb-go-client"
)

func main() {
	// Create connection string
	connectionString := "192.168.33.11:5678?" +
		"auth=basic;" +
		"user=mapr;" +
		"password=mapr;" +
		"ssl=true;" +
		"sslCA=/opt/mapr/conf/ssl_truststore.pem;" +
		"sslTargetNameOverride=node1.cluster.com"

	storeName := "/demo_table"

	// Create a connection to DAG
	connection, err := client.MakeConnection(connectionString)
	if err != nil {
		panic(err)
	}

	// Get a store and assign it as a DocumentStore struct
	store, err := connection.GetStore(storeName)
	if err != nil {
		panic(err)
	}

	// Options for find request
	options := &client.FindOptions{ResultAsDocument: true}

	// Create an OJAI query
	query := map[string]interface{}{"$select": []interface{}{"_id", "address.zipCode"}}

	// Fetch all OJAI Documents from table
	findResult, err := store.FindQueryMap(query, options)

	// Print OJAI Documents from document stream
	for _, doc := range findResult.DocumentList() {
		fmt.Println(doc)
	}

	// Close connection
	connection.Close()
}