The CData Sync App provides a straightforward way to continuously pipeline your Cloudant data to any database, data lake, or data warehouse, making it easily available for Analytics, Reporting, AI, and Machine Learning.
The Cloudant connector can be used from the CData Sync application to pull data from Cloudant and move it to any of the supported destinations.
Create a connection to Cloudant by navigating to the Connections page in the Sync App application and selecting the corresponding icon in the Add Connections panel. If the Cloudant icon is not available, click the Add More icon to download and install the Cloudant connector from the CData site.
Required properties are listed under the Settings tab. The Advanced tab lists connection properties that are not typically required.
There are two authentication methods available for connecting to Cloudant: IBM Cloudant Legacy and IBM Cloud IAM.
Set the User and Password to your service credentials.
To create an IBM Cloudant service credential:
To connect with IBM Cloud, you will need the ApiKey and the Url of Cloudant instance ( i.e https://0c9d3837-8304-4aab-a65a-648169970943-bluemix.cloudant.com).
When you connect, the Sync App completes the OAuth process.
After you have created an account in IBM Cloud you should follow the procedure below to retrieve the connection properties:
To obtain the ApiKey, take the following steps:
If you do not already have Cloud Object Storage in your IBM Cloud account, you can follow the procedure below to install an instance of SQL Query in your account:
We support Local instances from version 1.1.0 and above.
To authenticate to your local instance:
You can use the following properties to gain control over column behavior in Automatic Schema Discovery.
Cloudant 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. The following sections show various schemes that the Sync App offers to bridge the gap with relational SQL and a document database.
The Sync App models the schemaless Cloudant objects into relational tables and translates SQL queries into Cloudant queries to get the requested data. See Query Mapping for more details on how various Cloudant operations are represented as SQL.
The Automatic Schema Discovery scheme automatically finds the data types in a Cloudant 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 Cloudant.
The schema of the table is necessary to report metadata, but you can write Free-Form Queries not tied to the schema to select, insert, update, or delete data from columns that do not exist in the schema.
The Sync App supports listing Cloudant views and retrieving data from them. This is controlled by the ListViews property which is set to false by default. Set this property to true for Cloudant views to be displayed when listing tables.
The Sync App automatically infers a relational schema by inspecting a series of Cloudant documents in a collection. You can use the RowScanDepth property to define the number of documents the Sync App will scan to do so. The columns identified during the discovery process depend on the FlattenArrays and FlattenObjects properties.
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 }This document will be represented by the following columns:
Column Name | Data Type | Example Value |
id | Integer | 12 |
name | String | Lohia Manufacturers Inc. |
address.street | String | Main Street |
address.city | String | Chapel Hill |
address.state | String | NC |
offices | String | ["Chapel Hill", "London", "New York"] |
annual_revenue | Double | 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.
You can change the separator character in the column name from a dot by setting SeparatorCharacter.
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 ]The FlattenArrays property can be set to 2 to represent the array above as follows:
Column Name | Data Type | Example Value |
coord.0 | Float | -73.856077 |
coord.1 | Float | 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 Cloudant data. JSON Functions enable you to use standard JSON functions to summarize Cloudant data and extract values from any nested structures. 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" }You can access any nested structure in this document as a column. Use the dot notation to drill down to the values you want to access as shown in the query below. Note that arrays have a zero-based index. For example, the following query retrieves the second grade for the restaurant in the example:
SELECT [address.building], [grades.1.grade] FROM restaurants WHERE restaurant_id = '30075445'The preceding query returns the following results:
Column Name | Data Type | Example Value |
address.building | String | 1007 |
grades.1.grade | String | A |
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" }Vertical flattening will allow you to retrieve the grades array as a separate table:
SELECT * FROM [restaurants.grades]This query returns the following data set:
date | grade | score | P_id | _index |
2014-03-03T00:00:00.000Z | A | 2 | 568c37b748ddf53c5ed98932 | 1 |
2013-09-11T00:00:00.000Z | A | 6 | 568c37b748ddf53c5ed98932 | 2 |
2013-01-24T00:00:00.000Z | A | 10 | 568c37b748ddf53c5ed98932 | 3 |
SELECT [restaurants].[restaurant_id], [restaurants.grades].* FROM [restaurants.grades] JOIN [restaurants] WHERE [restaurants].name = 'Morris Park Bake Shop'This query returns the following data set:
restaurant_id | date | grade | score | P_id | _index |
30075445 | 2014-03-03T00:00:00.000Z | A | 2 | 568c37b748ddf53c5ed98932 | 1 |
30075445 | 2013-09-11T00:00:00.000Z | A | 6 | 568c37b748ddf53c5ed98932 | 2 |
30075445 | 2013-01-24T00:00:00.000Z | A | 10 | 568c37b748ddf53c5ed98932 | 3 |
30075445 | 2011-11-23T00:00:00.000Z | A | 9 | 568c37b748ddf53c5ed98932 | 4 |
30075445 | 2011-03-10T00:00:00.000Z | B | 14 | 568c37b748ddf53c5ed98932 | 5 |
The Sync App can return JSON structures as column values. The Sync App 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 } ]
SELECT Name, JSON_EXTRACT(grades,'[0].grade') AS Grade, JSON_EXTRACT(grades,'[0].score') AS Score FROM Students;
Column Name | Example Value |
Grade | A |
Score | 2 |
SELECT Name, JSON_COUNT(grades,'[x]') AS NumberOfGrades FROM Students;
Column Name | Example Value |
NumberOfGrades | 5 |
SELECT Name, JSON_SUM(score,'[x].score') AS TotalScore FROM Students;
Column Name | Example Value |
TotalScore | 41 |
SELECT Name, JSON_MIN(score,'[x].score') AS LowestScore FROM Students;
Column Name | Example Value |
LowestScore | 2 |
SELECT Name, JSON_MAX(score,'[x].score') AS HighestScore FROM Students;
Column Name | Example Value |
HighestScore | 14 |
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;The query above will return the entire document as shown.
{ "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 Sync App maps SQL queries into the corresponding Cloudant queries. The Sync App uses the Selector syntax to compute the desired results.
A detailed description of all the transformations is out of scope, but we will describe some of the common elements that are used.
The SELECT statement is mapped to the GET and POST methods. Below are example queries and the corresponding request payloads.
SQL Query | Cloudant Query |
SELECT * FROM sales |
For this query a GET request is sent to the /_all_docs endpoint. |
SELECT _id, value FROM sales | { "fields": [ "_id", "value" ], "skip": 0, "selector": { "_id": { "$exists": true } } } |
SELECT * FROM sales WHERE value=175033291697 | { "selector": { "value": { "$eq": 175033291697 } }, "skip": 0 } |
SELECT * FROM sales WHERE value = 175033291697 OR month='June' | { "selector": { "$or": [ { "value": { "$eq": 175033291697 } }, { "month": { "$eq": "June" } } ] }, "skip": 0 } |
SELECT * FROM sales WHERE name LIKE 'A%' | { "selector": { "name": { "$regex": "A%" } }, "skip": 0 } |
SELECT * FROM sales WHERE month='June' ORDER BY _id ASC | { "skip": 0, "sort": [ { "_id": "asc" } ], "selector": { "month": { "$eq": "June" } } } |
SELECT * FROM sales WHERE month='June' ORDER BY _id DESC | { "skip": 0, "sort": [ { "_id": "desc" } ], "selector": { "month": { "$eq": "June" } } } |
The INSERT statement is mapped to the HTTP POST request, as shown in the following query and request payload.
SQL Query
INSERT INTO users(_id, age, status, [address.city], [address.postalcode]) VALUES ('bcd001', 45, 'A', 'Chapel Hill', 27517)
Cloudant Query
{ "address": { "city": "Chapel Hill", "postalcode": 27517 }, "_id": "bcd001", "age": 45, "status": "A" }
The UPDATE statement is mapped to the HTTP PUT method, as shown in the following query and request payload.
SQL Query
UPDATE users SET status = 'C', [address.postalcode] = 90210 WHERE _id = 'bcd001'
Cloudant Query
{ "_id": "bcd001", "_rev": "1-446f6c67e3a483feae8eaf112f18892c", "status": "C", "age": 45, "address": { "city": "Chapel Hill", "postalcode": 90210 } }
The DELETE statement is mapped to the DELETE method as shown below.
SQL Query
DELETE FROM users WHERE _id = 'bcd001'
Cloudant Query
For this query a DELETE request is sent to the users/{_id}?rev={_rev} endpoint.
This section details a selection of advanced features of the Cloudant Sync App.
The Sync App allows you to define virtual tables, called user defined views, whose contents are decided by a pre-configured query. These views are useful when you cannot directly control queries being issued to the drivers. See User Defined Views for an overview of creating and configuring custom views.
Use SSL Configuration to adjust how Sync App handles TLS/SSL certificate negotiations. You can choose from various certificate formats; see the SSLServerCert property under "Connection String Options" for more information.
Configure the Sync App for compliance with Firewall and Proxy, including Windows proxies and HTTP proxies. You can also set up tunnel connections.
The Sync App offloads as much of the SELECT statement processing as possible to Cloudant and then processes the rest of the query in memory (client-side).
See Query Processing for more information.
See Logging for an overview of configuration settings that can be used to refine CData logging. For basic logging, you only need to set two connection properties, but there are numerous features that support more refined logging, where you can select subsets of information to be logged using the LogModules connection property.
By default, the Sync App attempts to negotiate SSL/TLS by checking the server's certificate against the system's trusted certificate store.
To specify another certificate, see the SSLServerCert property for the available formats to do so.
To connect through the Windows system proxy, you do not need to set any additional connection properties. To connect to other proxies, set ProxyAutoDetect to false.
In addition, to authenticate to an HTTP proxy, set ProxyAuthScheme, ProxyUser, and ProxyPassword, in addition to ProxyServer and ProxyPort.
Set the following properties:
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.
For more information on establishing a connection, see Establishing a Connection.
Property | Description |
AuthScheme | The type of authentication to use when connecting to Cloudant. |
URL | The URL used to connect to the Cloudant. |
User | The Cloudant user account used to authenticate. |
Password | The password used to authenticate the user. |
ApiKey | The API Key used to identify the user to IBM Cloud. |
Property | Description |
SSLServerCert | The certificate to be accepted from the server when connecting using TLS/SSL. |
Property | Description |
FirewallType | The protocol used by a proxy-based firewall. |
FirewallServer | The name or IP address of a proxy-based firewall. |
FirewallPort | The TCP port for a proxy-based firewall. |
FirewallUser | The user name to use to authenticate with a proxy-based firewall. |
FirewallPassword | A password used to authenticate to a proxy-based firewall. |
Property | Description |
ProxyAutoDetect | This indicates whether to use the system proxy settings or not. This takes precedence over other proxy settings, so you'll need to set ProxyAutoDetect to FALSE in order use custom proxy settings. |
ProxyServer | The hostname or IP address of a proxy to route HTTP traffic through. |
ProxyPort | The TCP port the ProxyServer proxy is running on. |
ProxyAuthScheme | The authentication type to use to authenticate to the ProxyServer proxy. |
ProxyUser | A user name to be used to authenticate to the ProxyServer proxy. |
ProxyPassword | A password to be used to authenticate to the ProxyServer proxy. |
ProxySSLType | The SSL type to use when connecting to the ProxyServer proxy. |
ProxyExceptions | A semicolon separated list of destination hostnames or IPs that are exempt from connecting through the ProxyServer . |
Property | Description |
LogModules | Core modules to be included in the log file. |
Property | Description |
Location | A path to the directory that contains the schema files defining tables, views, and stored procedures. |
BrowsableSchemas | This property restricts the schemas reported to a subset of the available schemas. For example, BrowsableSchemas=SchemaA,SchemaB,SchemaC. |
Tables | This property restricts the tables reported to a subset of the available tables. For example, Tables=TableA,TableB,TableC. |
Views | Restricts the views reported to a subset of the available tables. For example, Views=ViewA,ViewB,ViewC. |
ListViews | Whether to list views from Cloudant or not. |
Property | Description |
FlattenArrays | Set FlattenArrays to the number of array elements to flatten into columns. Otherwise, arrays are returned as JSON strings. |
FlattenObjects | Set FlattenObjects to true to flatten object properties into columns of their own. Otherwise, embedded objects as raw JSON strings. |
FlexibleSchema | Set FlexibleSchema to true to scan for additional metadata on the query result set. Otherwise, the metadata will remain the same. |
MaxRows | Limits the number of rows returned rows when no aggregation or group by is used in the query. This helps avoid performance issues at design time. |
Other | These hidden properties are used only in specific use cases. |
Pagesize | The maximum number of results to return per page from Cloudant. |
PseudoColumns | This property indicates whether or not to include pseudo columns as columns to the table. |
RowScanDepth | The maximum number of rows to scan to look for the columns available in a table. |
SeparatorCharacter | The character or characters used to denote hierarchy. |
Timeout | The value in seconds until the timeout error is thrown, canceling the operation. |
TypeDetectionScheme | Option for how the provider will scan the data to determine the fields and data types in each document collection. |
UserDefinedViews | A filepath pointing to the JSON configuration file containing your custom views. |
This section provides a complete list of the Authentication properties you can configure in the connection string for this provider.
Property | Description |
AuthScheme | The type of authentication to use when connecting to Cloudant. |
URL | The URL used to connect to the Cloudant. |
User | The Cloudant user account used to authenticate. |
Password | The password used to authenticate the user. |
ApiKey | The API Key used to identify the user to IBM Cloud. |
The type of authentication to use when connecting to Cloudant.
The URL used to connect to the Cloudant.
The HTTP or HTTPS URL used to connect to the Cloudant in the format https://{instance id}-bluemix.cloudantnosqldb.appdomain.cloud or in case of self hosting server http[s]://{server}:{port}
The Cloudant user account used to authenticate.
Together with Password, this field is used to authenticate against the Cloudant server.
The password used to authenticate the user.
The User and Password are together used to authenticate with the server.
The API Key used to identify the user to IBM Cloud.
Access to resources in the Cloudant REST API is governed by an API key in order to retrieve token. An API Key created by navigating to Manage --> Access (IAM) --> Users and clicking 'Create'.
This section provides a complete list of the SSL properties you can configure in the connection string for this provider.
Property | Description |
SSLServerCert | The certificate to be accepted from the server when connecting using TLS/SSL. |
The certificate to be accepted from the server when connecting using TLS/SSL.
If using a TLS/SSL connection, this property can be used to specify the TLS/SSL certificate to be accepted from the server. Any other certificate that is not trusted by the machine is rejected.
This property can take the following forms:
Description | Example |
A full PEM Certificate (example shortened for brevity) | -----BEGIN CERTIFICATE----- MIIChTCCAe4CAQAwDQYJKoZIhv......Qw== -----END CERTIFICATE----- |
A path to a local file containing the certificate | C:\cert.cer |
The public key (example shortened for brevity) | -----BEGIN RSA PUBLIC KEY----- MIGfMA0GCSq......AQAB -----END RSA PUBLIC KEY----- |
The MD5 Thumbprint (hex values can also be either space or colon separated) | ecadbdda5a1529c58a1e9e09828d70e4 |
The SHA1 Thumbprint (hex values can also be either space or colon separated) | 34a929226ae0819f2ec14b4a3d904f801cbb150d |
If not specified, any certificate trusted by the machine is accepted.
Use '*' to signify to accept all certificates. Note that this is not recommended due to security concerns.
This section provides a complete list of the Firewall properties you can configure in the connection string for this provider.
Property | Description |
FirewallType | The protocol used by a proxy-based firewall. |
FirewallServer | The name or IP address of a proxy-based firewall. |
FirewallPort | The TCP port for a proxy-based firewall. |
FirewallUser | The user name to use to authenticate with a proxy-based firewall. |
FirewallPassword | A password used to authenticate to a proxy-based firewall. |
The protocol used by a proxy-based firewall.
This property specifies the protocol that the Sync App will use to tunnel traffic through the FirewallServer proxy. Note that by default, the Sync App connects to the system proxy; to disable this behavior and connect to one of the following proxy types, set ProxyAutoDetect to false.
Type | Default Port | Description |
TUNNEL | 80 | When this is set, the Sync App opens a connection to Cloudant and traffic flows back and forth through the proxy. |
SOCKS4 | 1080 | When this is set, the Sync App sends data through the SOCKS 4 proxy specified by FirewallServer and FirewallPort and passes the FirewallUser value to the proxy, which determines if the connection request should be granted. |
SOCKS5 | 1080 | When this is set, the Sync App sends data through the SOCKS 5 proxy specified by FirewallServer and FirewallPort. If your proxy requires authentication, set FirewallUser and FirewallPassword to credentials the proxy recognizes. |
To connect to HTTP proxies, use ProxyServer and ProxyPort. To authenticate to HTTP proxies, use ProxyAuthScheme, ProxyUser, and ProxyPassword.
The name or IP address of a proxy-based firewall.
This property specifies the IP address, DNS name, or host name of a proxy allowing traversal of a firewall. The protocol is specified by FirewallType: Use FirewallServer with this property to connect through SOCKS or do tunneling. Use ProxyServer to connect to an HTTP proxy.
Note that the Sync App uses the system proxy by default. To use a different proxy, set ProxyAutoDetect to false.
The TCP port for a proxy-based firewall.
This specifies the TCP port for a proxy allowing traversal of a firewall. Use FirewallServer to specify the name or IP address. Specify the protocol with FirewallType.
The user name to use to authenticate with a proxy-based firewall.
The FirewallUser and FirewallPassword properties are used to authenticate against the proxy specified in FirewallServer and FirewallPort, following the authentication method specified in FirewallType.
A password used to authenticate to a proxy-based firewall.
This property is passed to the proxy specified by FirewallServer and FirewallPort, following the authentication method specified by FirewallType.
This section provides a complete list of the Proxy properties you can configure in the connection string for this provider.
Property | Description |
ProxyAutoDetect | This indicates whether to use the system proxy settings or not. This takes precedence over other proxy settings, so you'll need to set ProxyAutoDetect to FALSE in order use custom proxy settings. |
ProxyServer | The hostname or IP address of a proxy to route HTTP traffic through. |
ProxyPort | The TCP port the ProxyServer proxy is running on. |
ProxyAuthScheme | The authentication type to use to authenticate to the ProxyServer proxy. |
ProxyUser | A user name to be used to authenticate to the ProxyServer proxy. |
ProxyPassword | A password to be used to authenticate to the ProxyServer proxy. |
ProxySSLType | The SSL type to use when connecting to the ProxyServer proxy. |
ProxyExceptions | A semicolon separated list of destination hostnames or IPs that are exempt from connecting through the ProxyServer . |
This indicates whether to use the system proxy settings or not. This takes precedence over other proxy settings, so you'll need to set ProxyAutoDetect to FALSE in order use custom proxy settings.
This takes precedence over other proxy settings, so you'll need to set ProxyAutoDetect to FALSE in order use custom proxy settings.
To connect to an HTTP proxy, see ProxyServer. For other proxies, such as SOCKS or tunneling, see FirewallType.
The hostname or IP address of a proxy to route HTTP traffic through.
The hostname or IP address of a proxy to route HTTP traffic through. The Sync App can use the HTTP, Windows (NTLM), or Kerberos authentication types to authenticate to an HTTP proxy.
If you need to connect through a SOCKS proxy or tunnel the connection, see FirewallType.
By default, the Sync App uses the system proxy. If you need to use another proxy, set ProxyAutoDetect to false.
The TCP port the ProxyServer proxy is running on.
The port the HTTP proxy is running on that you want to redirect HTTP traffic through. Specify the HTTP proxy in ProxyServer. For other proxy types, see FirewallType.
The authentication type to use to authenticate to the ProxyServer proxy.
This value specifies the authentication type to use to authenticate to the HTTP proxy specified by ProxyServer and ProxyPort.
Note that the Sync App will use the system proxy settings by default, without further configuration needed; if you want to connect to another proxy, you will need to set ProxyAutoDetect to false, in addition to ProxyServer and ProxyPort. To authenticate, set ProxyAuthScheme and set ProxyUser and ProxyPassword, if needed.
The authentication type can be one of the following:
If you need to use another authentication type, such as SOCKS 5 authentication, see FirewallType.
A user name to be used to authenticate to the ProxyServer proxy.
The ProxyUser and ProxyPassword options are used to connect and authenticate against the HTTP proxy specified in ProxyServer.
You can select one of the available authentication types in ProxyAuthScheme. If you are using HTTP authentication, set this to the user name of a user recognized by the HTTP proxy. If you are using Windows or Kerberos authentication, set this property to a user name in one of the following formats:
user@domain domain\user
A password to be used to authenticate to the ProxyServer proxy.
This property is used to authenticate to an HTTP proxy server that supports NTLM (Windows), Kerberos, or HTTP authentication. To specify the HTTP proxy, you can set ProxyServer and ProxyPort. To specify the authentication type, set ProxyAuthScheme.
If you are using HTTP authentication, additionally set ProxyUser and ProxyPassword to HTTP proxy.
If you are using NTLM authentication, set ProxyUser and ProxyPassword to your Windows password. You may also need these to complete Kerberos authentication.
For SOCKS 5 authentication or tunneling, see FirewallType.
By default, the Sync App uses the system proxy. If you want to connect to another proxy, set ProxyAutoDetect to false.
The SSL type to use when connecting to the ProxyServer proxy.
This property determines when to use SSL for the connection to an HTTP proxy specified by ProxyServer. This value can be AUTO, ALWAYS, NEVER, or TUNNEL. The applicable values are the following:
AUTO | Default setting. If the URL is an HTTPS URL, the Sync App will use the TUNNEL option. If the URL is an HTTP URL, the component will use the NEVER option. |
ALWAYS | The connection is always SSL enabled. |
NEVER | The connection is not SSL enabled. |
TUNNEL | The connection is through a tunneling proxy. The proxy server opens a connection to the remote host and traffic flows back and forth through the proxy. |
A semicolon separated list of destination hostnames or IPs that are exempt from connecting through the ProxyServer .
The ProxyServer is used for all addresses, except for addresses defined in this property. Use semicolons to separate entries.
Note that the Sync App uses the system proxy settings by default, without further configuration needed; if you want to explicitly configure proxy exceptions for this connection, you need to set ProxyAutoDetect = false, and configure ProxyServer and ProxyPort. To authenticate, set ProxyAuthScheme and set ProxyUser and ProxyPassword, if needed.
This section provides a complete list of the Logging properties you can configure in the connection string for this provider.
Property | Description |
LogModules | Core modules to be included in the log file. |
Core modules to be included in the log file.
Only the modules specified (separated by ';') will be included in the log file. By default all modules are included.
See the Logging page for an overview.
This section provides a complete list of the Schema properties you can configure in the connection string for this provider.
Property | Description |
Location | A path to the directory that contains the schema files defining tables, views, and stored procedures. |
BrowsableSchemas | This property restricts the schemas reported to a subset of the available schemas. For example, BrowsableSchemas=SchemaA,SchemaB,SchemaC. |
Tables | This property restricts the tables reported to a subset of the available tables. For example, Tables=TableA,TableB,TableC. |
Views | Restricts the views reported to a subset of the available tables. For example, Views=ViewA,ViewB,ViewC. |
ListViews | Whether to list views from Cloudant or not. |
A path to the directory that contains the schema files defining tables, views, and stored procedures.
The path to a directory which contains the schema files for the Sync App (.rsd files for tables and views, .rsb files for stored procedures). The folder location can be a relative path from the location of the executable. The Location property is only needed if you want to customize definitions (for example, change a column name, ignore a column, and so on) or extend the data model with new tables, views, or stored procedures.
If left unspecified, the default location is "%APPDATA%\\CData\\Cloudant Data Provider\\Schema" with %APPDATA% being set to the user's configuration directory:
This property restricts the schemas reported to a subset of the available schemas. For example, BrowsableSchemas=SchemaA,SchemaB,SchemaC.
Listing the schemas from databases can be expensive. Providing a list of schemas in the connection string improves the performance.
This property restricts the tables reported to a subset of the available tables. For example, Tables=TableA,TableB,TableC.
Listing the tables from some databases can be expensive. Providing a list of tables in the connection string improves the performance of the Sync App.
This property can also be used as an alternative to automatically listing views if you already know which ones you want to work with and there would otherwise be too many to work with.
Specify the tables you want in a comma-separated list. Each table should be a valid SQL identifier with any special characters escaped using square brackets, double-quotes or backticks. For example, Tables=TableA,[TableB/WithSlash],WithCatalog.WithSchema.`TableC With Space`.
Note that when connecting to a data source with multiple schemas or catalogs, you will need to provide the fully qualified name of the table in this property, as in the last example here, to avoid ambiguity between tables that exist in multiple catalogs or schemas.
Restricts the views reported to a subset of the available tables. For example, Views=ViewA,ViewB,ViewC.
Listing the views from some databases can be expensive. Providing a list of views in the connection string improves the performance of the Sync App.
This property can also be used as an alternative to automatically listing views if you already know which ones you want to work with and there would otherwise be too many to work with.
Specify the views you want in a comma-separated list. Each view should be a valid SQL identifier with any special characters escaped using square brackets, double-quotes or backticks. For example, Views=ViewA,[ViewB/WithSlash],WithCatalog.WithSchema.`ViewC With Space`.
Note that when connecting to a data source with multiple schemas or catalogs, you will need to provide the fully qualified name of the table in this property, as in the last example here, to avoid ambiguity between tables that exist in multiple catalogs or schemas.
Whether to list views from Cloudant or not.
Set this property to true for Cloudant views to show up when listing tables.
This section provides a complete list of the Miscellaneous properties you can configure in the connection string for this provider.
Property | Description |
FlattenArrays | Set FlattenArrays to the number of array elements to flatten into columns. Otherwise, arrays are returned as JSON strings. |
FlattenObjects | Set FlattenObjects to true to flatten object properties into columns of their own. Otherwise, embedded objects as raw JSON strings. |
FlexibleSchema | Set FlexibleSchema to true to scan for additional metadata on the query result set. Otherwise, the metadata will remain the same. |
MaxRows | Limits the number of rows returned rows when no aggregation or group by is used in the query. This helps avoid performance issues at design time. |
Other | These hidden properties are used only in specific use cases. |
Pagesize | The maximum number of results to return per page from Cloudant. |
PseudoColumns | This property indicates whether or not to include pseudo columns as columns to the table. |
RowScanDepth | The maximum number of rows to scan to look for the columns available in a table. |
SeparatorCharacter | The character or characters used to denote hierarchy. |
Timeout | The value in seconds until the timeout error is thrown, canceling the operation. |
TypeDetectionScheme | Option for how the provider will scan the data to determine the fields and data types in each document collection. |
UserDefinedViews | A filepath pointing to the JSON configuration file containing your custom views. |
Set FlattenArrays to the number of array elements to flatten into columns. Otherwise, arrays are returned as JSON strings.
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: Set FlattenArrays to the number of elements you want to return from nested arrays. The zero-based index is concatenated to the column name with a dot or the character specified by SeparatorCharacter. Other elements are ignored.
For example, you can return an arbitrary number of elements from an array of strings:
["FLOW-MATIC","LISP","COBOL"]When FlattenArrays is set to 1, the preceding array is flattened into the following table:
Column Name | Column Value |
languages.0 | FLOW-MATIC |
Setting FlattenArrays to -1 will flatten all the elements of nested arrays.
Using FlattenArrays is only recommended for arrays that are expected to be short. See NoSQL Database for other ways to access nested arrays.
Set FlattenObjects to true to flatten object properties into columns of their own. Otherwise, embedded objects as raw JSON strings.
Set FlattenObjects to true to flatten object properties into columns of their own. Otherwise, embedded objects as raw JSON strings. The property name is concatenated onto the object name with a dot or the character specified by SeparatorCharacter.
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 } ]When FlattenObjects is set to true and FlattenArrays is set to 1, the preceding array is flattened into the following table:
Column Name | Column Value |
grades.0.grade | A |
grades.0.score | 2 |
Set FlexibleSchema to true to scan for additional metadata on the query result set. Otherwise, the metadata will remain the same.
Set FlexibleSchema to true to scan for additional metadata on the query result set. Otherwise, the metadata will remain the same.
Limits the number of rows returned rows when no aggregation or group by is used in the query. This helps avoid performance issues at design time.
Limits the number of rows returned rows when no aggregation or group by is used in the query. This helps avoid performance issues at design time.
These hidden properties are used only in specific use cases.
The properties listed below are available for specific use cases. Normal driver use cases and functionality should not require these properties.
Specify multiple properties in a semicolon-separated list.
DefaultColumnSize | Sets the default length of string fields when the data source does not provide column length in the metadata. The default value is 2000. |
ConvertDateTimeToGMT | Determines whether to convert date-time values to GMT, instead of the local time of the machine. |
RecordToFile=filename | Records the underlying socket data transfer to the specified file. |
The maximum number of results to return per page from Cloudant.
The Pagesize property affects the maximum number of results to return per page from Cloudant. Setting a higher value may result in better performance at the cost of additional memory allocated per page consumed.
This property indicates whether or not to include pseudo columns as columns to the table.
This setting is particularly helpful in Entity Framework, which does not allow you to set a value for a pseudo column unless it is a table column. The value of this connection setting is of the format "Table1=Column1, Table1=Column2, Table2=Column3". You can use the "*" character to include all tables and all columns; for example, "*=*".
The maximum number of rows to scan to look for the columns available in a table.
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.
The character or characters used to denote hierarchy.
In order to flatten out hierarchical structures, the Sync App needs some specifier that states the path to a column through the hierarchy. If this value is "." and a column comes back with the name address.city, this indicates that there is a mapped attribute with a child called city. If your data has columns that already use a single period within the attribute name, set the SeparatorCharacter to a different character or characters.
The value in seconds until the timeout error is thrown, canceling the operation.
If Timeout = 0, operations do not time out. The operations run until they complete successfully or until they encounter an error condition.
If Timeout expires and the operation is not yet complete, the Sync App throws an exception.
Option for how the provider will scan the data to determine the fields and data types in each document collection.
Since Cloudant is schemaless, the columns in a table must be determined by scanning table rows. Set TypeDetectionScheme to toggle the automatic discovery of data types. Set RowScanDepth to configure type detection.
None | Setting TypeDetectionScheme to None will return all columns as a string type. |
RowScan | Setting TypeDetectionScheme to RowScan will scan rows to heuristically determine the data type. The RowScanDepth property determines the number of rows to be scanned. |
Type detection is part of Automatic Schema Discovery. Set FlattenArrays and FlattenObjects to configure how the Sync App projects columns over the hierarchical data.
You can fine-tune the discovered columns and data types by calling CreateSchema to generate a schema file. Schema files have a simple format that makes it easy to change column behavior.
A filepath pointing to the JSON configuration file containing your custom views.
User Defined Views are defined in a JSON-formatted configuration file called UserDefinedViews.json. The Sync App automatically detects the views specified in this file.
You can also have multiple view definitions and control them using the UserDefinedViews connection property. When you use this property, only the specified views are seen by the Sync App.
This User Defined View configuration file is formatted as follows:
For example:
{ "MyView": { "query": "SELECT * FROM Movies WHERE MyColumn = 'value'" }, "MyView2": { "query": "SELECT * FROM MyTable WHERE Id IN (1,2,3)" } }Use the UserDefinedViews connection property to specify the location of your JSON configuration file. For example:
"UserDefinedViews", "C:\\Users\\yourusername\\Desktop\\tmp\\UserDefinedViews.json"