This page provides a guide to Establishing a Connection to MongoDB in CData Cloud, as well as information on the available resources, and a reference to the available connection properties.

Connecting to MongoDB

Establishing a Connection shows how to authenticate to MongoDB and configure any necessary connection properties to create a database in CData Cloud

Accessing Data from CData Cloud Services

Accessing data from MongoDB through the available standard services and CData Cloud administration is documented in further details in the CData Cloud Documentation.

Connect to MongoDB by selecting the corresponding icon in the Database tab. Required properties are listed under Settings. The Advanced tab lists connection properties that are not typically required.

Connecting to MongoDB

Set the following connection properties to connect to a single MongoDB instance:

• Server: Set this to the name or address of the server your MongoDB instance is running on. You can specify the port here or in Port.
• Database: Set this to the database you want to read from and write to.

Connecting to MongoDB Using DNS Seed Lists

• Server: Set this to "mongodb+srv://"" + the name of the server your MongoDB instance is running on. You can specify the port here or in Port.
• Database: Set this to the database you want to read from and write to.
• DNSServer: Set this to the hostname of a DNSServer that can resolve the necessary DNS entries.

Connecting to Replica Sets

To connect to a replica set, set the following in addition to the preceding connection properties:

• ReplicaSet: Set this to a comma-separated list of secondary servers in the replica set, specified by address and port.
• SlaveOK: Set this to true if you want to read from secondary (slave) servers.
• ReadPreference: Set this to fine-tune how the Cloud reads from secondary servers.

Securing MongoDB Connections

You can set UseSSL to negotiate SSL/TLS encryption when you connect.

Authenticating MongoDB Connections

Supported AuthScheme types (MONGODB-CR,SCRAM-SHA-1,SCRAM-SHA-256,PLAIN,GSSAPI) are challenge-response authentication and LDAP.

Challenge-Response

In challenge-response authentication, the User and Password properties correspond to a username and password stored in a MongoDB database. If you want to connect to data from one database and authenticate to another database, set both Database and AuthDatabase.

LDAP

To use LDAP authentication, set AuthDatabase to "$external" and set AuthScheme to PLAIN. This value specifies the SASL PLAIN mechanism; note that this mechanism transmits credentials over plaintext, so it is not suitable for use without TLS/SSL on untrusted networks.

X.509 Certificates

Set AuthScheme to X509 to use X.509 certificate authentication.

Connecting to an Amazon DocumentDB Cluster

Before you can connect to Amazon DocumentDB, you will first need to, ensure your Amazon DocumentDB cluster and the EC2 instance containing the mongo shell are currently running.

Next, configure an SSH tunnel to the EC2 instance as follows.

1. From the AWS management console, select Services -> Database -> Amazon DocumentDB. From the DocumentDB management page, select Clusters, then click your cluster.
2. Under the Connect section, note the --host value and its port found in the sample connection string.
3. Navigate to Services -> Compute -> EC2. Select Running instances.
4. Select your instance, then click the Connect button.
5. Under the Example section, note the value identifying the instance and user, shown in the form <ami_username>@<Public DNS>
6. In your preferred SSH client, establish a connection to your EC2 instance using the Host Name from the EC2 instance's Connect page (username@publicDNS) and Port 22.
7. Provide your EC2 instance's private key file (in Putty, you will need to convert the keys from .pem to .ppk) for authentication.
8. Configure an SSH tunnel using the port and host name from the DocumentDB cluster page.
9. Establish the connection to the EC2 virtual machine.

Specify the following to connect to the DocumentDB cluster.

• Server: Set this to the machine name which is hosting the SSH tunnel.
• Port: Set this to the port the SSH tunnel is hosted on.
• User: Set this to the master username used to provision the DocumentDB cluster.
• Password: Set this to the master password set when provisioning the DocumentDB cluster.
• UseSSL: Set this to true.
• UseFindAPI Set this to true.

Connecting to CosmosDB with the MongoDB API

To obtain the connection string needed to connect to a Cosmos DB account using the MongoDB API, log in to the Azure Portal, select Azure Cosmos DB, and select your account. In the Settings section, click Connection String and set the following values.

• Server: Set this to the Host value, the FQDN of the server provisioned for your account. You can also specify the port here or in Port.
• Port: Set this to the port.
• Database: Set this to the database you want to read from and write to.
• User: Set this to the database user.
• Password: Set this to the user's password.

When you connect to Atlas, ObjectRocket, or another database-as-a-service provider, there typically are a few variations on the procedure outlined in Establishing a Connection. The following sections show how to obtain the necessary connection properties for several popular services.

Atlas

You can authenticate to MongoDB Atlas with a MongoDB user or an LDAP user. The following sections show how to map Atlas connection strings to Cloud connection properties. To obtain the Atlas connection string, follow the steps below:

1. In the Clusters view, click Connect for the cluster you want to connect to.
2. Click Connect Your Application.
3. Select either driver option to display a connection string.

Prerequisites

In addition to creating a MongoDB user and/or setting up LDAP, your Atlas project's white-list must include the IP address of the machine the Cloud is connecting from. To add an IP address to the white-list, select the Security tab in the Clusters view and then click IP Whitelist -> Add IP Address.

MongoDB User Credentials

Below is an example connection string providing a MongoDB user's credentials.

mongodb://USERNAME:[email protected]:27017,cluster0-shard-00-01.mongodb.net:27017,cluster0-shard-00-02.mongodb.net:27017/test?ssl=true&replicaSet=Cluster0-shard-0&authSource=admin

• AuthScheme: SCRAM-SHA-1 for MongoDB versions 3.0, 3.2, 3.4, and 3.6.
• Server: The first server in the replica set. Or, you can specify a primary or secondary server here (the Cloud queries the servers in Server and ReplicaSet to find the primary).
  

  cluster0-shard-00-00.mongodb.net

• Port: The port the server is running on (27017 is the default).
• ReplicaSet: The other servers in the replica set. Server and ReplicaSet together specify all instances in the MongoDB replica set. Specify both the server name and port in ReplicaSet.
  

  mycluster0-shard-00-01.mongodb.net:27017,mycluster0-shard-00-02.mongodb.net:27017

• SlaveOK: true to allow reading from secondary (slave) servers in the replica set.
• AuthDatabase: "admin" to connect to MongoDB Atlas. All MongoDB users for Atlas are associated with the admin database, their authentication database.
• Database: The database you want to read from and write to.

• User: The username of a MongoDB user you added to your MongoDB project.

• Password: The password of the MongoDB user.

• UseSSL: true. Atlas requires TLS/SSL.

LDAP

The following list shows the MongoDB Atlas requirements for authenticating with an LDAP user. Below is an example command to connect with the mongo client:

mongo "mongodb://cluster0-shard-00-00.mongodb.net:27017,cluster0-shard-00-01.mongodb.net:27017,cluster0-shard-00-02.mongodb.net:27017/test?ssl=true&replicaSet=Cluster0-shard-0&authSource=$external" --authenticationMechanism PLAIN --username cn=rob,cn=Users,dc=atlas-ldaps-01,dc=myteam,dc=com 

• Server: The first server in the replica set. Or, you can specify another primary or secondary server here (the Cloud queries the servers in Server and ReplicaSet to find the primary). For example:
  

  cluster0-shard-00-00.mongodb.net

• Port: The port the server is running on (27017 is the default).
• ReplicaSet: The other servers in the replica set. Server and ReplicaSet together specify all instances in the MongoDB replica set. Below is an example value:
  

  mycluster0-shard-00-01.mongodb.net:27017,mycluster0-shard-00-02.mongodb.net:27017

• SlaveOK: true to allow reading from secondary (slave) servers in the replica set.

• AuthScheme: PLAIN in LDAP authentication.

• Database: The database you want to read from and write to.

• AuthDatabase: "$external" to authenticate with an LDAP user.

• User: The full Distinguished Name (DN) of a user in your LDAP server as the Atlas username. For example:
  

  cn=rob,cn=Users,dc=atlas-ldaps-01,dc=myteam,dc=com

• Password: The password of the LDAP user.

• UseSSL: true. Atlas requires TLS/SSL.

ObjectRocket

To connect to ObjectRocket, you authenticate with the credentials for a database user. You can obtain the necessary connection properties from the control panel: On the Instances page, select your instance and then select the Connect menu to display a MongoDB connection string.

Prerequisites

In addition to adding a user for your database, you also need to allow access to the IP address for the machine the Cloud is connecting from. You can configure this by selecting your instance on the Instances page and then clicking Add ACL.

MongoDB User

mongodb://YOUR_USERNAME:[email protected]:52826,abc123-d4-2.mongo.objectrocket.com:52826,abc123-d4-1.mongo.objectrocket.com:52826/YOUR_DATABASE_NAME?replicaSet=89c04c5db2cf403097d8f2e8ca871a1c

• Server: The first server in the replica set. Click Replica Set to obtain the server names. Or, you can specify another primary or secondary server here (the Cloud queries the servers in Server and ReplicaSet to find the primary).
  

  abc123-d4-0.mongo.objectrocket.com

• Port: The port the server is running on (27017 is the default).
• ReplicaSet: The other servers in the replica set. Server and ReplicaSet together specify all instances in the MongoDB replica set. Below is an example value:
  

  abc123-d4-2.mongo.objectrocket.com:52826,abc123-d4-1.mongo.objectrocket.com:52826

• Database: The database you want to read from and write to. Note that this is also the authentication database for the user you are connecting with; database users cannot interact with other databases outside their database in ObjectRocket.
• User: The username of a MongoDB user you defined for the Database.
• Password: The password for the database user.
• UseSSL: true to enable TLS/SSL.

MongoDB is a schemaless, document database that provides high performance, availability, and scalability. These features are not necessarily incompatible with a standards-compliant query language like SQL-92. In this section we will show various schemes that the Cloud offers to bridge the gap with relational SQL and a document database.

Working with MongoDB Objects as Tables

The Cloud models the schemaless MongoDB objects into relational tables and translates SQL queries into MongoDB queries to get the requested data. See Query Mapping for more details on how various MongoDB operations are represented as SQL.

Discovering Schemas Automatically

The Automatic Schema Discovery scheme automatically finds the data types in a MongoDB object by scanning a configured number of rows of the object. You can use RowScanDepth, FlattenArrays, and FlattenObjects to control the relational representation of the collections in MongoDB. You can also write Free-Form Queries not tied to the schema.

The Cloud automatically infers a relational schema by inspecting a series of MongoDB documents in a collection. You can use the RowScanDepth property to define the number of documents the Cloud will scan to do so. The columns identified during the discovery process depend on the FlattenArrays and FlattenObjects properties.

Flattening Objects

If FlattenObjects is set, all nested objects will be flattened into a series of columns. For example, consider the following document:

{
  id: 12,
  name: "Lohia Manufacturers Inc.",
  address: {street: "Main Street", city: "Chapel Hill", state: "NC"},
  offices: ["Chapel Hill", "London", "New York"],
  annual_revenue: 35,600,000
}

If FlattenObjects is not set, then the address.street, address.city, and address.state columns will not be broken apart. The address column of type string will instead represent the entire object. Its value would be {street: "Main Street", city: "Chapel Hill", state: "NC"}. See JSON Functions for more details on working with JSON aggregates.

Flattening Arrays

The FlattenArrays property can be used to flatten array values into columns of their own. This is only recommended for arrays that are expected to be short, for example the coordinates below:

"coord": [ -73.856077, 40.848447 ]

It is best to leave other unbounded arrays as they are and piece out the data for them as needed using JSON Functions.

As discussed in Automatic Schema Discovery, intuited table schemas enable SQL access to unstructured MongoDB data. JSON Functions enable you to use standard JSON functions to summarize MongoDB data and extract values from any nested structures. Custom Schema Definitions enable you to define static tables and give you more granular control over the relational view of your data; for example, you can write schemas defining parent/child tables or fact/dimension tables. However, you are not limited to these schemes.

After connecting you can query any nested structure without flattening the data. Any relations that you can access with FlattenArrays and FlattenObjects can also be accessed with an ad hoc SQL query.

Let's consider an example document from the following Restaurant data set:

 
{
  "address": {
    "building": "1007",
    "coord": [
      -73.856077,
      40.848447
    ],
    "street": "Morris Park Ave",
    "zipcode": "10462"
  },
  "borough": "Bronx",
  "cuisine": "Bakery",
  "grades": [
    {
      "grade": "A",
      "score": 2,
      "date": {
        "$date": "1393804800000"
      }
    },
    {
      "date": {
        "$date": "1378857600000"
      },
      "grade": "B",
      "score": 6
    },
    {
      "score": 10,
      "date": {
        "$date": "1358985600000"
      },
      "grade": "C"
    }
  ],
  "name": "Morris Park Bake Shop",
  "restaurant_id": "30075445"
} 

SELECT [address.building], [grades.1.grade] FROM restaurants WHERE restaurant_id = '30075445'

It is possible to retrieve an array of documents as if it were a separate table. Take the following JSON structure from the restaurants collection for example:

{
  "_id" : ObjectId("568c37b748ddf53c5ed98932"),
  "address" : {
    "building" : "1007",
    "coord" : [-73.856077, 40.848447],
    "street" : "Morris Park Ave",
    "zipcode" : "10462"
  },
  "borough" : "Bronx",
  "cuisine" : "Bakery",
  "grades" : [{
      "date" : ISODate("2014-03-03T00:00:00Z"),
      "grade" : "A",
      "score" : 2
    }, {
      "date" : ISODate("2013-09-11T00:00:00Z"),
      "grade" : "A",
      "score" : 6
    }, {
      "date" : ISODate("2013-01-24T00:00:00Z"),
      "grade" : "A",
      "score" : 10
    }, {
      "date" : ISODate("2011-11-23T00:00:00Z"),
      "grade" : "A",
      "score" : 9
    }, {
      "date" : ISODate("2011-03-10T00:00:00Z"),
      "grade" : "B",
      "score" : 14
    }],
  "name" : "Morris Park Bake Shop",
  "restaurant_id" : "30075445"
}

SELECT * FROM [restaurants.grades]

You may also want to include information from the base restaurants table. You can do this with a join. Flattened arrays can only be joined with the root document. The Cloud expects the left part of the join is the array document you want to flatten vertically. Set SupportEnhancedSQL to false to join nested MongoDB documents -- this type of query is supported through the MongoDB API.

SELECT [restaurants].[restaurant_id], [restaurants.grades].* FROM [restaurants.grades] JOIN [restaurants] WHERE [restaurants].name = 'Morris Park Bake Shop'

It's also possible to build queries targeting arrays within other arrays.

Consider this sample Inventory collection:

{
	"_id": {
		"$oid": "xxxxxxxxxxxxxxxxxxxxxx"
	},
	"Company Branch": "Main Branch",
	"ItemList": [
		{
			"item": "journal",
			"instock": [
				{
					"warehouse": "A",
					"qty": 15
				},
				{
					"warehouse": "B",
					"qty": 45
				}
			]
		},
		{
			"item": "paper",
			"instock": [
				{
					"warehouse": "A",
					"qty": 50
				},
				{
					"warehouse": "B",
					"qty": 5
				}
			]
		}
	]
}

Insert data into the nested arrays using the syntax of <parent array>.<index>.<child array>, as follows:

INSERT INTO [Inventory.ItemList] (p_id, item, [instock.0.warehouse], [instock.0.qty], [instock.0.price]) VALUES ('xxxxxxxxxxxxxxxxxxxxxx', 'NoteBook', 'B', 20, '5$')

The Inventory collection after executing the INSERT statement:

{
	"_id": {
		"$oid": "xxxxxxxxxxxxxxxxxxxxxx"
	},
	"Company Branch": "Main Branch",
	"ItemList": [
		{
			"item": "journal",
			"instock": [
				{
					"warehouse": "A",
					"qty": 15
				},
				{
					"warehouse": "B",
					"qty": 45
				}
			]
		},
		{
			"item": "paper",
			"instock": [
				{
					"warehouse": "A",
					"qty": 50
				},
				{
					"warehouse": "B",
					"qty": 5
				}
			]
		},
		{
			"item": "NoteBook",
			"instock": [
				{
					"warehouse": "B",
					"qty": 20,
					"price": "5$"
				}
			]
		}
	]
}

The Cloud can return JSON structures as column values. The Cloud enables you to use standard SQL functions to work with these JSON structures. The examples in this section use the following array:

[
     { "grade": "A", "score": 2 },
     { "grade": "A", "score": 6 },
     { "grade": "A", "score": 10 },
     { "grade": "A", "score": 9 },
     { "grade": "B", "score": 14 }
]

JSON_EXTRACT

SELECT Name, JSON_EXTRACT(grades,'[0].grade') AS Grade, JSON_EXTRACT(grades,'[0].score') AS Score FROM Students;

JSON_COUNT

SELECT Name, JSON_COUNT(grades,'[x]') AS NumberOfGrades FROM Students;

JSON_SUM

SELECT Name, JSON_SUM(score,'[x].score') AS TotalScore FROM Students;

JSON_MIN

SELECT Name, JSON_MIN(score,'[x].score') AS LowestScore FROM Students;

JSON_MAX

SELECT Name, JSON_MAX(score,'[x].score') AS HighestScore FROM Students;

DOCUMENT

The DOCUMENT function can be used to retrieve the entire document as a JSON string. See the following query and its result as an example:

SELECT DOCUMENT(*) FROM Customers;

{ "id": 12, "name": "Lohia Manufacturers Inc.", "address": { "street": "Main Street", "city": "Chapel Hill", "state": "NC"}, "offices": [ "Chapel Hill", "London", "New York" ], "annual_revenue": 35,600,000 }

The Cloud maps SQL queries into the corresponding MongoDB queries. A detailed description of all the transformations is out of scope, but we will describe some of the common elements that are used. The Cloud takes advantage of MongoDB features such as the aggregation framework to compute the desired results.

SELECT Queries

SELECT * FROM Users

db.users.find()

SELECT user_id, status 
FROM Users

db.users.find(
  {}, 
  { user_id: 1, status: 1, _id: 0 }
)

SELECT * 
FROM Users 
WHERE status = 'A'

db.users.find( 
  { status: "A" }
)

SELECT * 
FROM Users 
WHERE status = 'A' OR age=50

db.users.find(
  { $or: [ { status: "A" }, 
           { age: 50 } ] }
)

SELECT * 
FROM Users 
WHERE name LIKE 'A%'

db.users.find(
  {name: /^a/}
)

SELECT * FROM Users 
WHERE status = 'A'
ORDER BY user_id ASC

db.users.find( { status: "A" }.sort( { user_id: 1 } )

SELECT * 
FROM Users 
WHERE status = 'A' 
ORDER BY user_id DESC

db.users.find( {status: "A" }.sort( {user_id: -1} )

Aggregate Queries

SELECT Count(*) As Count 
FROM Orders

db.orders.aggregate( [ 
  { 
    $group: { 
      _id: null, 
      count: { $sum: 1 } 
    } 
  } 
] )

SELECT Sum(price) As Total 
FROM Orders

db.orders.aggregate( [ 
  { 
    $group: { 
      _id: null, 
      total: { $sum: "$price" } 
    }
  } 
] )

SELECT cust_id, Sum(price) As total 
FROM Orders 
GROUP BY cust_id 
ORDER BY total

db.orders.aggregate( [ 
  { 
    $group: { 
      _id: "$cust_id", 
      total: { $sum: "$price" } 
    } 
  } ,
  { $sort: {total: 1 } }
] )

SELECT cust_id, ord_date, Sum(price) As total 
FROM Orders 
GROUP BY cust_id, ord_date 
HAVING total > 250

db.orders.aggregate( [ 
  { 
    $group: { 
      _id: { 
        cust_id: "$cust_id", 
        ord_date: { 
          month: { $month: "$ord_date" }, 
          day: { $dayOfMonth: "$ord_date" }, 
          year: { $year: "$ord_date"} 
        } 
      }, 
      total: { $sum: "$price" } 
    }
  }, 
  { $match: { total: { $gt: 250 } } } 
] )

INSERT Statements

INSERT INTO users (user_id, age, status, [address.city], [address.postalcode]) 
VALUES ('bcd001', 45, 'A', 'Chapel Hill', 27517)

db.users.insert( 
  { user_id: "bcd001", age: 45, status: "A", address:{ city:"Chapel Hill", postalCode:27514} }
) 

INSERT INTO t1 ("c1") VALUES (('a1', 'a2', 'a3'))

db.users.insert({"c1": ['a1', 'a2', 'a3']})

INSERT INTO t1 ("c1") VALUES (())

db.users.insert({"c1": []})

INSERT INTO t1 ("a.b.c.c1") VALUES (('a1', 'a2', 'a3'))

db.users.insert("a":{"b":{"c":{"c1":['a1','a2', 'a3']}}})

Update Statements

UPDATE users 
SET status = 'C', [address.postalcode] = 90210
WHERE age > 25

db.users.update( 
  { age: { $gt: 25 } }, 
  { $set: { status: "C", address.postalCode: 90210 }, 
  { multi: true }
) 

Delete Statements

DELETE FROM users WHERE status = 'D'

db.users.remove( { status: "D" } )

You can query the system tables described in this section to access schema information, information on data source functionality, and batch operation statistics.

Schema Tables

The following tables return database metadata for MongoDB:

• sys_catalogs: Lists the available databases.
• sys_schemas: Lists the available schemas.
• sys_tables: Lists the available tables and views.
• sys_tablecolumns: Describes the columns of the available tables and views.
• sys_procedures: Describes the available stored procedures.
• sys_procedureparameters: Describes stored procedure parameters.
• sys_keycolumns: Describes the primary and foreign keys.
• sys_indexes: Describes the available indexes.

Data Source Tables

The following tables return information about how to connect to and query the data source:

• sys_connection_props: Returns information on the available connection properties.
• sys_sqlinfo: Describes the SELECT queries that the Cloud can offload to the data source.

Query Information Tables

The following table returns query statistics for data modification queries, including batch operations::

• sys_identity: Returns information about batch operations or single updates.

Lists the available databases.

The following query retrieves all databases determined by the connection string:

SELECT * FROM sys_catalogs

Columns

Lists the available schemas.

The following query retrieves all available schemas:

          SELECT * FROM sys_schemas
          

Columns

Lists the available tables.

The following query retrieves the available tables and views:

          SELECT * FROM sys_tables
          

Columns

Describes the columns of the available tables and views.

The following query returns the columns and data types for the [CData].[Sample].Customers table:

SELECT ColumnName, DataTypeName FROM sys_tablecolumns WHERE TableName='Customers' AND CatalogName='CData' AND SchemaName='Sample'

Columns

Lists the available stored procedures.

The following query retrieves the available stored procedures:

          SELECT * FROM sys_procedures
          

Columns

Describes stored procedure parameters.

The following query returns information about all of the input parameters for the AddDocument stored procedure:

SELECT * FROM sys_procedureparameters WHERE ProcedureName = 'AddDocument' AND Direction = 1 OR Direction = 2

To include result set columns in addition to the parameters, set the IncludeResultColumns pseudo column to True:

SELECT * FROM sys_procedureparameters WHERE ProcedureName = 'AddDocument' AND IncludeResultColumns='True'

Columns

Pseudo-Columns

Describes the primary and foreign keys.

The following query retrieves the primary key for the [CData].[Sample].Customers table:

         SELECT * FROM sys_keycolumns WHERE IsKey='True' AND TableName='Customers' AND CatalogName='CData' AND SchemaName='Sample'
          

Columns

Describes the foreign keys.

The following query retrieves all foreign keys which refer to other tables:

         SELECT * FROM sys_foreignkeys WHERE ForeignKeyType = 'FOREIGNKEY_TYPE_IMPORT'
          

Columns

Describes the primary keys.

The following query retrieves the primary keys from all tables and views:

         SELECT * FROM sys_primarykeys
          

Columns

Describes the available indexes. By filtering on indexes, you can write more selective queries with faster query response times.

The following query retrieves all indexes that are not primary keys:

          SELECT * FROM sys_indexes WHERE IsPrimary='false'
          

Columns

Returns information on the available connection properties and those set in the connection string.

The following query retrieves all connection properties that have been set in the connection string or set through a default value:

SELECT * FROM sys_connection_props WHERE Value <> ''

Columns

Describes the SELECT query processing that the Cloud can offload to the data source.

See SQL Compliance for SQL syntax details.

Discovering the Data Source's SELECT Capabilities

Below is an example data set of SQL capabilities. Some aspects of SELECT functionality are returned in a comma-separated list if supported; otherwise, the column contains NO.

The following query retrieves the operators that can be used in the WHERE clause:

SELECT * FROM sys_sqlinfo WHERE Name = 'SUPPORTED_OPERATORS'

Columns

Returns information about attempted modifications.

The following query retrieves the Ids of the modified rows in a batch operation:

         SELECT * FROM sys_identity
          

Columns

Describes the available system information.

The following query retrieves all columns:

SELECT * FROM sys_information

Columns

Stored procedures are function-like interfaces that extend the functionality of the Cloud beyond simple SELECT/INSERT/UPDATE/DELETE operations with MongoDB.

Stored procedures accept a list of parameters, perform their intended function, and then return any relevant response data from MongoDB, along with an indication of whether the procedure succeeded or failed.

CData Cloud - MongoDB Stored Procedures

Inserts a JSON document into a MongoDB collection without modification, preserving its original structure.

Input

Result Set Columns

Creates a schema definition for a MongoDB collection, mapping document structure to a tabular format.

Input

Result Set Columns

Executes a pass-through query to retrieve specific documents from a MongoDB collection, allowing for advanced filtering and projection.

Input

Result Set Columns

Retrieves an entire MongoDB document as a JSON-formatted string, maintaining its native structure.

Input

Result Set Columns

Customizing the SSL Configuration

To enable TLS, set UseSSL to True.

With this configuration, the Cloud attempts to negotiate TLS with the server. The server certificate is validated against the default system trusted certificate store. You can override how the certificate gets validated using the SSLServerCert connection property.

To specify another certificate, see the SSLServerCert connection property.

Client SSL Certificates

The MongoDB Cloud also supports setting client certificates. Set the following to connect using a client certificate.

• SSLClientCert: The name of the certificate store for the client certificate.
• SSLClientCertType: The type of key store containing the TLS/SSL client certificate.
• SSLClientCertPassword: The password for the TLS/SSL client certificate.
• SSLClientCertSubject: The subject of the TLS/SSL client certificate.

Connecting Through a Firewall or Proxy

Set the following properties:

• To use a proxy-based firewall, set FirewallType, FirewallServer, and FirewallPort.
• To tunnel the connection, set FirewallType to TUNNEL.
• To authenticate, specify FirewallUser and FirewallPassword.
• To authenticate to a SOCKS proxy, additionally set FirewallType to SOCKS5.

The connection string properties are the various options that can be used to establish a connection. This section provides a complete list of the options you can configure in the connection string for this provider. Click the links for further details.

Authentication

SSL

SSH

Logging

Schema

Miscellaneous

This section provides a complete list of the Authentication properties you can configure in the connection string for this provider.

The authentication mechanism that MongoDB will use to authenticate the connection.

Possible Values

Data Type

string

Default Value

"SCRAM-SHA-1"

Remarks

Accepted values are MONGODB-CR, SCRAM-SHA-1, SCRAM-SHA-256, GSSAPI, PLAIN, and NONE. The following authentication types correspond to the authentication values.

Authenticating with Challenge-Response

Generally, this property does not need to be set for this authentication type, as the Cloud uses different challenge-response mechanisms by default to authenticate a user to different versions of MongoDB.

• MongoDB 2: MongoDB 2 uses MONGODB-CR to authenticate.
• MongoDB 3.x: MongoDB 3 uses SCRAM-SHA-1 by default; new users you create in MongoDB 3 use this authentication method. However, MongoDB 3 servers will continue to use MONGODB-CR to authenticate users created in MongoDB 2.6.
• MongoDB 4.x: MongoDB 4 uses SCRAM-SHA-1 by default and does not support the deprecated MongoDB MONGODB-CR authentication mechanism.

Authenticating with LDAP

Set AuthScheme to PLAIN to use LDAP authentication. This value specifies the SASL PLAIN mechanism; note that this mechanism transmits credentials over plain-text, so it is not suitable for use without TLS/SSL on untrusted networks.

Authenticating with Kerberos

Set AuthScheme to GSSAPI to use Kerberos authentication. Additionally configure the following properties as configured for the MongoDB environment:

Authenticating with X.509 Authentication

Set AuthScheme to X509 to use X.509 certificate authentication.

The host name or IP address of the server hosting the MongoDB database.

Data Type

string

Default Value

""

Remarks

The host name or IP address of the server hosting the MongoDB database. If you choose to connect using DNS seed lists, set this option to "mongodb+srv://" + the name of the server your MongoDB instance is running on.

If connecting through MongoDB Atlas, set the Server connection property to the shard value of the primary cluster (ex: cluster0-shard-00-00-test.mongodb.net). More information about sharding can be found here: MongoDB Sharding.

The port for the MongoDB database.

Data Type

string

Default Value

"27017"

Remarks

The port for the MongoDB database.

Specifies the authenticating user's user ID.

Data Type

string

Default Value

""

Remarks

The authenticating server requires both User and Password to validate the user's identity.

Specifies the authenticating user's password.

Data Type

string

Default Value

""

Remarks

The authenticating server requires both User and Password to validate the user's identity.

The name of the MongoDB database.

Data Type

string

Default Value

""

Remarks

The name of the MongoDB database.

This field sets whether SSL is enabled.

Data Type

bool

Default Value

true

Remarks

This field sets whether the Cloud will attempt to negotiate TLS/SSL connections to the server. By default, the Cloud checks the server's certificate against the system's trusted certificate store. To specify another certificate, set SSLServerCert.

The name of the MongoDB database for authentication.

Data Type

string

Default Value

""

Remarks

The name of the MongoDB database for authentication. Only needed if the authentication database is different from the database to retrieve data from.

This property allows you to specify multiple servers in addition to the one configured in Server and Port . Specify both a server name and port; separate servers with a comma.

Data Type

string

Default Value

""

Remarks

This property allows you to specify the other servers in the replica set in addition to the one configured in Server and Port. You must specify all servers in the replica set using ReplicaSet, Server, and Port.

Specify both a server name and port in ReplicaSet; separate servers with a comma. For example:

Server=localhost;Port=27017;ReplicaSet=localhost:27018,localhost:27019;

To find the primary server, the Cloud queries the servers in ReplicaSet and the server specified by Server and Port.

Note that only the primary server in a replica set is writable. Secondaries can be readable if the SlaveOK setting allows it. To configure a strategy executing SELECT queries to secondaries, see ReadPreference.

Specify the DNS server when resolving MongoDB seed list.

Data Type

string

Default Value

""

Remarks

Specify the DNS server when resolving MongoDB seed list.

This section provides a complete list of the SSL properties you can configure in the connection string for this provider.

Specifies the certificate to be accepted from the server when connecting using TLS/SSL.

Data Type

string

Default Value

""

Remarks

If you are using a TLS/SSL connection, use this property to specify the TLS/SSL certificate to be accepted from the server. If you specify a value for this property, all other certificates that are not trusted by the machine are rejected.

This property can take the following forms:

Note: It is possible to use '*' to signify that all certificates should be accepted, but due to security concerns this is not recommended.

This section provides a complete list of the SSH properties you can configure in the connection string for this provider.

The authentication method used when establishing an SSH Tunnel to the service.

Possible Values

Data Type

string

Default Value

"Password"

Remarks

• None: No authentication is performed. The current SSHUser value is ignored, and the connection is logged in as anonymous.
• Password: The Cloud uses the values of SSHUser and SSHPassword to authenticate the user.
• Public_Key: The Cloud uses the values of SSHUser and SSHClientCert to authenticate the user. SSHClientCert must have a private key available for this authentication method to succeed.

A certificate to be used for authenticating the SSHUser.

Data Type

string

Default Value

""

Remarks

SSHClientCert must contain a valid private key in order to use public key authentication. A public key is optional, if one is not included then the Cloud generates it from the private key. The Cloud sends the public key to the server and the connection is allowed if the user has authorized the public key.

The SSHClientCertType field specifies the type of the key store specified by SSHClientCert. If the store is password protected, specify the password in SSHClientCertPassword.

Some types of key stores are containers which may include multiple keys. By default the Cloud will select the first key in the store, but you can specify a specific key using SSHClientCertSubject.

The password of the SSHClientCert key if it has one.

Data Type

string

Default Value

""

Remarks

This property is required for SSH tunneling when using certificate-based authentication. If the SSH certificate is in a password-protected key store, provide the password using this property to access the certificate.

The subject of the SSH client certificate.

Data Type

string

Default Value

"*"

Remarks

When loading a certificate the subject is used to locate the certificate in the store.

If an exact match is not found, the store is searched for subjects containing the value of the property.

If a match is still not found, the property is set to an empty string, and no certificate is selected.

The special value "*" picks the first certificate in the certificate store.

The certificate subject is a comma separated list of distinguished name fields and values. For instance "CN=www.server.com, OU=test, C=US, [email protected]". Common fields and their meanings are displayed below.

If a field value contains a comma it must be quoted.

The type of SSHClientCert private key.

Possible Values

Data Type

string

Default Value

"PEMKEY_BLOB"

Remarks

This property can take one of the following values:

The SSH server.

Data Type

string

Default Value

""

Remarks

The SSH server.

The SSH port.

Data Type

string

Default Value

"22"

Remarks

The SSH port.

The SSH user.

Data Type

string

Default Value

""

Remarks

The SSH user.

The SSH password.

Data Type

string

Default Value

""

Remarks

The SSH password.

The SSH server fingerprint.

Data Type

string

Default Value

""

Remarks

The SSH server fingerprint.

Whether to tunnel the MongoDB connection over SSH. Use SSH.

Data Type

bool

Default Value

false

Remarks

By default the Cloud will attempt to connect directly to MongoDB. When this option is enabled, the Cloud will instead establish an SSH connection with the SSHServer and tunnel the connection to MongoDB through it.

This section provides a complete list of the Logging properties you can configure in the connection string for this provider.

Specifies the verbosity level of the log file, which controls the amount of detail logged. Supported values range from 1 to 5.

Data Type

string

Default Value

"1"

Remarks

This property defines the level of detail the Cloud includes in the log file. Higher verbosity levels increase the detail of the logged information, but may also result in larger log files and slower performance due to the additional data being captured.

The default verbosity level is 1, which is recommended for regular operation. Higher verbosity levels are primarily intended for debugging purposes. For more information on each level, refer to Logging.

When combined with the LogModules property, Verbosity can refine logging to specific categories of information.

This section provides a complete list of the Schema properties you can configure in the connection string for this provider.

Optional setting that restricts the schemas reported to a subset of all available schemas. For example, BrowsableSchemas=SchemaA,SchemaB,SchemaC .

Data Type

string

Default Value

""

Remarks

Listing all available database schemas can take extra time, thus degrading performance. Providing a list of schemas in the connection string saves time and improves performance.

This section provides a complete list of the Miscellaneous properties you can configure in the connection string for this provider.

A comprehensive list detailing the mappings of column names for the built-in fields used in MongoDB.

Data Type

string

Default Value

""

Remarks

This property allows users to input a list of MongoDB column names, separated by commas, and maps these built-in columns to newly defined names. If this property is defined, it directs the Cloud to utilize a predefined set of mappings between MongoDB's document fields and the SQL columns.

The remappable built-in columns are "_index", "P_id", "_id" and "parent_id".

For example:

_index=BuiltInIndex,P_id=Root_Id,_id=My_Id,parent_id=My_Parent_id

Remapping these columns is important, particularly in addressing common issues such as "column names must be unique" errors. These conflicts often occur when the Cloud encounters extra columns labeled "_index", "P_id", "_id" or "parent_id" in addition to the standard built-in columns.

This property is useful for modifying reserved names, offering flexibility in database design, and avoiding conflicts.

Specifies the compression method used for network communication between the client and the MongoDB server.

Possible Values

Data Type

string

Default Value

"None"

Remarks

This property enables compression and decompression of messages between the application and MongoDB, thereby reducing the total amount of data transmitted over the network.

• When Compression is set to None, it is not enabled. This means that the data can remain in its original, uncompressed form.
  
• When Compression is set to Snappy, it indicates that network traffic between the MongoDB client and server will be compressed using the Snappy algorithm. Both the client and the server must support Snappy compression, which is enabled by default in most modern versions of the service.
  
• When Compression is set to Zlib, the Cloud activates network compression using the zlib algorithm for communication between the client and server.

This property helps improve performance when working with large MongoDB documents or tables.

By default, the provider will not automatically discover the metadata for a child table as its own distinct table. To enable this functionality, set DataModel to Relational .

Possible Values

Data Type

string

Default Value

"DOCUMENT"

Remarks

When setting DataModel to Relational, the discovery of child tables extends to root-level elements and those found within top-level array elements. Additionally, the provider exposes _id and parent_id columns to enable JOIN operations between parent and child tables. The _id column acts as a primary key for the flattened table, while the parent_id column identifies the parent document.

Determines the format of datetime values returned by the Document function. This property only takes effect when StrictMode=true.

Possible Values

Data Type

string

Default Value

"Canonical"

Remarks

• Canonical: According to MongoDB standards, for dates before the year 1970 or after the year 9999, the format will always be millis.
• ISO8601: The format will always be ISO8601.
• UnixTS: The format will always be millis.

This property specifies whether nested array elements are flattened into individual columns. By default, nested arrays are returned as JSON strings. Set this property to the number of elements to extract from nested arrays.

Data Type

string

Default Value

""

Remarks

By default, nested arrays are returned as strings of JSON. The FlattenArrays property can be used to flatten the elements of nested arrays into columns of their own. This is only recommended for arrays that are expected to be short.

Set FlattenArrays to the number of elements you want to return from nested arrays. The specified elements are returned as columns. The zero-based index is concatenated to the column name. Other elements are ignored.

For example, you can return an arbitrary number of elements from an array of strings:

["FLOW-MATIC","LISP","COBOL"]

Setting FlattenArrays to -1 will flatten all the elements of nested arrays.

This property specifies whether the attributes of objects are flattened into separate columns.

Data Type

bool

Default Value

true

Remarks

Set FlattenObjects to true to flatten the properties of objects into individual columns. If set to false, nested properties can remain nested and can be returned as JSON strings.
The Cloud generates the column name by concatenating the property name with the object name, separated by a dot.

For example, you can flatten the nested objects below at connection time:

[
     { "grade": "A", "score": 2 },
     { "grade": "A", "score": 6 },
     { "grade": "A", "score": 10 },
     { "grade": "A", "score": 9 },
     { "grade": "B", "score": 14 }
]

Specifies the maximum number of rows returned for queries that do not include either aggregation or GROUP BY.

Data Type

int

Default Value

-1

Remarks

The default value for this property, -1, means that no row limit is enforced unless the query explicitly includes a LIMIT clause. (When a query includes a LIMIT clause, the value specified in the query takes precedence over the MaxRows setting.)

Setting MaxRows to a whole number greater than 0 ensures that queries do not return excessively large result sets by default.

This property is useful for optimizing performance and preventing excessive resource consumption when executing queries that could otherwise return very large datasets.

The server typically terminates idle cursors after 30 minutes of inactivity to prevent excessive memory usage. Set this option to true to avoid automatic timeouts and keep your cursors active.

Data Type

bool

Default Value

false

Remarks

By default, the MongoDB server automatically closes idle cursors associated with the session after 30 minutes of inactivity to free up resources. The session refreshes with each new document batch request. If processing takes longer than 30 minutes, the session can expire and close. When NoCursorTimeout is set to true, the cursor can not time out due to inactivity. It remains open until it is explicitly closed by the application or the cursor has exhausted all results.

This property is useful in controlling whether a cursor automatically times out after a period of inactivity.

Specifies the maximum number of records per page the provider returns when requesting data from MongoDB.

Data Type

int

Default Value

4096

Remarks

When processing a query, instead of requesting all of the queried data at once from MongoDB, the Cloud can request the queried data in pieces called pages.

This connection property determines the maximum number of results that the Cloud requests per page.

Note: Setting large page sizes may improve overall query execution time, but doing so causes the Cloud to use more memory when executing queries and risks triggering a timeout.

Specifies the pseudocolumns to expose as table columns, expressed as a string in the format 'TableName=ColumnName;TableName=ColumnName'.

Data Type

string

Default Value

""

Remarks

This property allows you to define which pseudocolumns the Cloud exposes as table columns.

To specify individual pseudocolumns, use the following format:

Table1=Column1;Table1=Column2;Table2=Column3

To include all pseudocolumns for all tables use:

*=*

Set this to a strategy for reading from a replica set. Accepted values are primary, primaryPreferred, secondary, secondaryPreferred, and nearest.

Possible Values

Data Type

string

Default Value

"primary"

Remarks

This property enables you to execute queries to a member in a replica set other other than the primary member. Accepted values are the following:

• primary: All SELECT queries are executed against the primary server.
• primaryPreferred: If the primary server is not available, SELECT queries are executed to a secondary server.
• secondary: All SELECT queries are executed to the secondary servers.
• secondaryPreferred: SELECT queries are executed to a secondary server if one is available. Otherwise, the queries are executed to the primary server.
• nearest: SELECT queries are executed to the server with the least latency.

When to Use ReadPreference

When this property is set, query results may not reflect the latest changes if a write operation has not yet been replicated to a secondary machine. You can use ReadPreference to accomplish the following, with some risk that the Cloud will return stale data:

• Configure failover queries: If the primary server is unavailable, you can set this property to "primaryPreferred" to continue to execute queries online.
• Execute faster queries to geographically distributed replica sets: If your deployment uses multiple data centers, setting ReadPreference to "nearest" can result in faster queries, as the Cloud executes SELECT queries to whichever replica set member has the lowest latency.

When directing the Cloud to execute SELECT statements to a secondary server, SlaveOK must also be set. Otherwise, the Cloud will return an error response.

This property is used to identify and interact with one or more members of a replica set that are linked to specific tags.

Data Type

string

Default Value

""

Remarks

To use the ReadPreferenceTags property, it is necessary to configure the ReadPreference to a value other than the default 'primary' value. The required format consists of a list of semicolon-separated tag sets, where each tag set includes key-value pairs separated by commas.

For example:

• tag1:val1,tag2:val2;: Find members with both tag values. If none are found, find any eligible member.
• tag1:val1;tag2:val2;: Find members with the specified tag1, otherwise find members with the specified tag2. If none are found find any eligible member.
• tag1:val1: Find only members with the specified tag.
• ;: (semicolon only) Find any eligible member. If left empty, any eligible member is targeted.

The maximum number of rows to scan to look for the columns available in a table.

Data Type

int

Default Value

100

Remarks

The columns in a table must be determined by scanning table rows. This value determines the maximum number of rows that will be scanned.

Setting a high value may decrease performance. Setting a low value may prevent the data type from being determined properly, especially when there is null data.

Setting to a value of -1 causes the Cloud to scan an arbitrary number of rows until it reaches the final row.

Specifies the type of service the provider can interact with.

Possible Values

Data Type

string

Default Value

"MongoDB"

Remarks

The ServiceKind property informs the Cloud of the type of MongoDB service to which it is connecting. This can affect how the connection operates or which features are accessible. Typical values include MongoDB for standard MongoDB deployments. This is the default option.

This property is useful for tools that support various MongoDB services.

Determines the provider's capability to read data from secondary (slave) servers. It controls whether the provider can access and retrieve information from these backup systems.

Data Type

bool

Default Value

false

Remarks

The SlaveOK property allows read operations on secondary servers in a replica set. This connection property is deprecated. The recommended option is ReadPreference for version 4.2 or above.

When set to true, it enables reading from secondary replica set servers, in addition to the primary server. This property is useful for configuring how the driver queries secondary servers using the ReadPreference setting.

Specifies the maximum time, in seconds, that the provider waits for a server response before throwing a timeout error.

Data Type

int

Default Value

60

Remarks

The timeout applies to each individual communication with the server rather than the entire query or operation. For example, a query could continue running beyond 60 seconds if each paging call completes within the timeout limit.

Timeout is set to 60 seconds by default. To disable timeouts, set this property to 0.

Disabling the timeout allows operations to run indefinitely until they succeed or fail due to other conditions such as server-side timeouts, network interruptions, or resource limits on the server.

Note: Use this property cautiously to avoid long-running operations that could degrade performance or result in unresponsive behavior.

Specifies the method for detecting metadata discovery.

Possible Values

Data Type

string

Default Value

"RowScan"

Remarks

A detailed list of enumerated options outlines the methods the provider uses to examine the data. This property helps identify different fields and their data types in each document collection.

Specifies the strategy that can be used when executing an update statement.

Possible Values

Data Type

string

Default Value

"Default"

Remarks

When updating a target document with fields that are replaced or merged, an update statement is executed. If the default value is set to Default, the Cloud replaces the entire original document with a new one. However, if the value is set to Merge, only specific fields in the target document can be updated.

This property helps trigger the system to identify which document needs modifications.

For example, if you have a collection 'classySample' as below.

{
  "_id": "1",
  "message": {
    "component_items": [{"locked": true}],
    "id":1
  }
}

UPDATE [classySample] SET [message.component_items.0.locked] = false  WHERE [message.id] = 1

In the query above, the 'message' document will be replaced with new document constructed with SET clause, the collection after updating looks like

{
  "_id": "1",
  "message": {
    "component_items": [
      {
        "locked": false
      }
    ]
  }
}

But when using Merge, only the 'locked' field in 'component_items' will be updated, the collection becomes

{
    "_id": "1",
    "message": {
        "component_items": [
            {
                "locked": false
            }
        ],
        "id": 1
    }
}

Specifies whether MongoDB queries using the method db.collection.find(), allow retrieval of documents from a specific collection based on defined criteria.

Data Type

bool

Default Value

true

Remarks

When UseFindAPI is set to true, the Cloud uses the new Find Command API instead of the older OP_QUERY interface. Therefore, this must be set to true in order to query DocumentDB clusters using db.collection.find(). If set to false, the Cloud can revert to the legacy find operation, such as OP_QUERY, particularly when working with older versions of MongoDB servers.

This property is useful for filtering, sorting, and manipulating data in MongoDB's flexible document structure.

Determines the level of acknowledgment requested for write operations in MongoDB, applicable to standalone mongod, replica sets, or sharded clusters.

Data Type

string

Default Value

"0"

Remarks

The WriteConcern property in MongoDB defines the acknowledgment level required for write operations, determining how confident MongoDB must be about the success of a write before confirming it. The default value is { w: 1 }, meaning the primary node must acknowledge the write operation before returning success to the client.

This property is useful for balancing data safety and performance.

Determines whether write operations can be recorded in the on-disk journal before being acknowledged as successful.

Data Type

bool

Default Value

true

Remarks

The WriteConcernJournaled property in MongoDB controls whether write operations must be written to the on-disk journal before being acknowledged as successful.

When set to True, MongoDB acknowledges a write operation only after the data has been committed to the on-disk journal. If the option is set to false, a write operation is acknowledged without waiting for journaling.

The WriteConcernTimeout property specifies the maximum time (in milliseconds) that the server should wait for a write concern to be acknowledged before returning an error.

Data Type

string

Default Value

"0"

Remarks

This property specifies the level of acknowledgment requested from MongoDB for write operations, such as INSERT, UPDATE, and DELETE. If a timeout is set for a write operation in MongoDB, it can wait to confirm the write on secondary nodes. If it times out, a write concern error occurs, but the write can still succeed on the primary node.

Sets whether the object type for inserted or updated objects is determined from the existing column metadata or the input value type.

Possible Values

Data Type

string

Default Value

"Metadata"

Remarks

Sets whether the object type for inserted or updated objects is determined from the existing column metadata or the input value type. When the default value Metadata is used, the Cloud uses the data type as determined by the TypeDetectionScheme for objects pushed to MongoDB. When the value is set to RawValue, the type of the object in the INSERT determines what type is used for MongoDB.

For example, if you have a field 'c1' in MongoDB defined as String type, the metadata returns the column as String as well. In the following query, the resulting field in MongoDB is therefore defined as String when using WriteScheme=Metadata. But when using RawValue, the inserting field type is Date instead since the FROM_UNIXTIME() function returns an actual Date object:

INSERT INTO Table1 (c1) VALUES (FROM_UNIXTIME(1636910867039, 0))

Inserting an empty array

INSERT INTO t1 ("c1") VALUES (())

This returns an empty array:

"c1":[]

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Each Contributor must identify itself as the originator of its Contribution, if any, in a manner that reasonably allows subsequent Recipients to identify the originator of the Contribution.

4. COMMERCIAL DISTRIBUTION

Commercial distributors of software may accept certain responsibilities with respect to end users, business partners and the like. While this license is intended to facilitate the commercial use of the Program, the Contributor who includes the Program in a commercial product offering should do so in a manner which does not create potential liability for other Contributors. Therefore, if a Contributor includes the Program in a commercial product offering, such Contributor ("Commercial Contributor") hereby agrees to defend and indemnify every other Contributor ("Indemnified Contributor") against any losses, damages and costs (collectively "Losses") arising from claims, lawsuits and other legal actions brought by a third party against the Indemnified Contributor to the extent caused by the acts or omissions of such Commercial Contributor in connection with its distribution of the Program in a commercial product offering. The obligations in this section do not apply to any claims or Losses relating to any actual or alleged intellectual property infringement. In order to qualify, an Indemnified Contributor must: a) promptly notify the Commercial Contributor in writing of such claim, and b) allow the Commercial Contributor to control, and cooperate with the Commercial Contributor in, the defense and any related settlement negotiations. The Indemnified Contributor may participate in any such claim at its own expense.

For example, a Contributor might include the Program in a commercial product offering, Product X. That Contributor is then a Commercial Contributor. If that Commercial Contributor then makes performance claims, or offers warranties related to Product X, those performance claims and warranties are such Commercial Contributor's responsibility alone. Under this section, the Commercial Contributor would have to defend claims against the other Contributors related to those performance claims and warranties, and if a court requires any other Contributor to pay any damages as a result, the Commercial Contributor must pay those damages.

5. NO WARRANTY

EXCEPT AS EXPRESSLY SET FORTH IN THIS AGREEMENT, THE PROGRAM IS PROVIDED ON AN "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, EITHER EXPRESS OR IMPLIED INCLUDING, WITHOUT LIMITATION, ANY WARRANTIES OR CONDITIONS OF TITLE, NON-INFRINGEMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Each Recipient is solely responsible for determining the appropriateness of using and distributing the Program and assumes all risks associated with its exercise of rights under this Agreement, including but not limited to the risks and costs of program errors, compliance with applicable laws, damage to or loss of data, programs or equipment, and unavailability or interruption of operations.

6. DISCLAIMER OF LIABILITY

EXCEPT AS EXPRESSLY SET FORTH IN THIS AGREEMENT, NEITHER RECIPIENT NOR ANY CONTRIBUTORS SHALL HAVE ANY LIABILITY FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING WITHOUT LIMITATION LOST PROFITS), HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OR DISTRIBUTION OF THE PROGRAM OR THE EXERCISE OF ANY RIGHTS GRANTED HEREUNDER, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGES.

7. GENERAL

If any provision of this Agreement is invalid or unenforceable under applicable law, it shall not affect the validity or enforceability of the remainder of the terms of this Agreement, and without further action by the parties hereto, such provision shall be reformed to the minimum extent necessary to make such provision valid and enforceable.

If Recipient institutes patent litigation against a Contributor with respect to a patent applicable to software (including a cross-claim or counterclaim in a lawsuit), then any patent licenses granted by that Contributor to such Recipient under this Agreement shall terminate as of the date such litigation is filed. In addition, if Recipient institutes patent litigation against any entity (including a cross-claim or counterclaim in a lawsuit) alleging that the Program itself (excluding combinations of the Program with other software or hardware) infringes such Recipient's patent(s), then such Recipient's rights granted under Section 2(b) shall terminate as of the date such litigation is filed.

All Recipient's rights under this Agreement shall terminate if it fails to comply with any of the material terms or conditions of this Agreement and does not cure such failure in a reasonable period of time after becoming aware of such noncompliance. If all Recipient's rights under this Agreement terminate, Recipient agrees to cease use and distribution of the Program as soon as reasonably practicable. However, Recipient's obligations under this Agreement and any licenses granted by Recipient relating to the Program shall continue and survive.

Everyone is permitted to copy and distribute copies of this Agreement, but in order to avoid inconsistency the Agreement is copyrighted and may only be modified in the following manner. The Agreement Steward reserves the right to publish new versions (including revisions) of this Agreement from time to time. No one other than the Agreement Steward has the right to modify this Agreement. IBM is the initial Agreement Steward. IBM may assign the responsibility to serve as the Agreement Steward to a suitable separate entity. Each new version of the Agreement will be given a distinguishing version number. The Program (including Contributions) may always be distributed subject to the version of the Agreement under which it was received. In addition, after a new version of the Agreement is published, Contributor may elect to distribute the Program (including its Contributions) under the new version. Except as expressly stated in Sections 2(a) and 2(b) above, Recipient receives no rights or licenses to the intellectual property of any Contributor under this Agreement, whether expressly, by implication, estoppel or otherwise. All rights in the Program not expressly granted under this Agreement are reserved.

This Agreement is governed by the laws of the State of New York and the intellectual property laws of the United States of America. No party to this Agreement will bring a legal action under this Agreement more than one year after the cause of action arose. Each party waives its rights to a jury trial in any resulting litigation.