Skip to Content

IBM Cloudant Connection Details

Introduction

Connector Version

This documentation is based on version 21.0.8662 of the connector.

Get Started

Cloudant Version Support

The connector leverages the Cloudant API to enable bidirectional access to Cloudant data through standard SQL. See Query Mapping for SQL-to-Cloudant-query mappings and more information about accessing unstructured data in Cloudant through SQL.

Establish a Connection

Authenticate to Cloudant

There are two authentication methods available for connecting to Cloudant: IBM Cloudant Legacy and IBM Cloud IAM.

Authenticate with IBM Cloudant Legacy

Set the User and Password to your service credentials.

To create an IBM Cloudant service credential:

  1. In the IBM Cloud dashboard, go to the Menu icon > Resource List, and open your IBM Cloudant service instance.
  2. In the menu, click Service credentials.
  3. Click the New credential button and enter a name for the new credential in the Add new credential window.
  4. Click the Add button. Your credentials are added to the Service credentials table.
  5. Click View credentials under Actions and extract the User and Password from the json file.
Authenticate to Local Instance

We support Local instances from version 1.1.0 and above.

To authenticate to your local instance you need to set:

  1. URL to the Url of your local instance. For example: http://localhost:8006
  2. User to your Username.
  3. Password to your Password.

Fine-Tuning Data Access

Fine-Tuning Data Access

You can use the following properties to gain control over column behavior in Automatic Schema Discovery.

  • RowScanDepth: This property determines the number of rows that will be scanned to detect column data types when generating table metadata.
  • TypeDetectionScheme: This property allows more control over the strategy implemented by the RowScanDepth property.

Important Notes

Configuration Files and Their Paths

  • All references to adding configuration files and their paths refer to files and locations on the Harmony Agent where the connector is installed. These paths are to be adjusted as appropriate depending on the agent and the operating system. If multiple agents are used in an agent group, identical files will be required on each agent.

NoSQL Database

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 connector offers to bridge the gap with relational SQL and a document database.

The connector 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 connector 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.

Automatic Schema Discovery

The connector 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 connector will scan to do so. The columns identified during the discovery process depend on the FlattenArrays and FlattenObjects properties.

Flatten 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
}

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.

Flatten 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 ]

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.

Free-Form Queries

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

Vertical Flattening

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

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 connector expects the left part of the join is the array document you want to flatten vertically. Disable SupportEnhancedSQL to join nested Cloudant documents -- this type of query is supported through the Cloudant API.

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

JSON Functions

The connector can return JSON structures as column values. The connector 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

The JSON_EXTRACT function can extract individual values from a JSON object. The following query returns the values shown below based on the JSON path passed as the second argument to the function:

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

JSON_COUNT

The JSON_COUNT function returns the number of elements in a JSON array within a JSON object. The following query returns the number of elements specified by the JSON path passed as the second argument to the function:

SELECT Name, JSON_COUNT(grades,'[x]') AS NumberOfGrades FROM Students;
Column Name Example Value
NumberOfGrades 5

JSON_SUM

The JSON_SUM function returns the sum of the numeric values of a JSON array within a JSON object. The following query returns the total of the values specified by the JSON path passed as the second argument to the function:

SELECT Name, JSON_SUM(score,'[x].score') AS TotalScore FROM Students;
Column Name Example Value
TotalScore 41

JSON_MIN

The JSON_MIN function returns the lowest numeric value of a JSON array within a JSON object. The following query returns the minimum value specified by the JSON path passed as the second argument to the function:

SELECT Name, JSON_MIN(score,'[x].score') AS LowestScore FROM Students;
Column Name Example Value
LowestScore 2

JSON_MAX

The JSON_MAX function returns the highest numeric value of a JSON array within a JSON object. The following query returns the maximum value specified by the JSON path passed as the second argument to the function:

SELECT Name, JSON_MAX(score,'[x].score') AS HighestScore FROM Students;
Column Name Example Value
HighestScore 14

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;

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 }

Query Mapping

The connector maps SQL queries into the corresponding Cloudant queries. The connector 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.

SELECT Queries

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"
}
}
}

INSERT Statements

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"

}

UPDATE Statements

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
  }

}

DELETE Statements

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.

System Tables

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 Cloudant:

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 connector can offload to the data source.

Query Information Tables

The following table returns query statistics for data modification queries:

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

sys_catalogs

Lists the available databases.

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

SELECT * FROM sys_catalogs
Columns
Name Type Description
CatalogName String The database name.

sys_schemas

Lists the available schemas.

The following query retrieves all available schemas:

SELECT * FROM sys_schemas
Columns
Name Type Description
CatalogName String The database name.
SchemaName String The schema name.

sys_tables

Lists the available tables.

The following query retrieves the available tables and views:

SELECT * FROM sys_tables
Columns
Name Type Description
CatalogName String The database containing the table or view.
SchemaName String The schema containing the table or view.
TableName String The name of the table or view.
TableType String The table type (table or view).
Description String A description of the table or view.
IsUpdateable Boolean Whether the table can be updated.

sys_tablecolumns

Describes the columns of the available tables and views.

The following query returns the columns and data types for the Movies table:

SELECT ColumnName, DataTypeName FROM sys_tablecolumns WHERE TableName='Movies'
Columns
Name Type Description
CatalogName String The name of the database containing the table or view.
SchemaName String The schema containing the table or view.
TableName String The name of the table or view containing the column.
ColumnName String The column name.
DataTypeName String The data type name.
DataType Int32 An integer indicating the data type. This value is determined at run time based on the environment.
Length Int32 The storage size of the column.
DisplaySize Int32 The designated column's normal maximum width in characters.
NumericPrecision Int32 The maximum number of digits in numeric data. The column length in characters for character and date-time data.
NumericScale Int32 The column scale or number of digits to the right of the decimal point.
IsNullable Boolean Whether the column can contain null.
Description String A brief description of the column.
Ordinal Int32 The sequence number of the column.
IsAutoIncrement String Whether the column value is assigned in fixed increments.
IsGeneratedColumn String Whether the column is generated.
IsHidden Boolean Whether the column is hidden.
IsArray Boolean Whether the column is an array.

sys_procedures

Lists the available stored procedures.

The following query retrieves the available stored procedures:

SELECT * FROM sys_procedures
Columns
Name Type Description
CatalogName String The database containing the stored procedure.
SchemaName String The schema containing the stored procedure.
ProcedureName String The name of the stored procedure.
Description String A description of the stored procedure.
ProcedureType String The type of the procedure, such as PROCEDURE or FUNCTION.

sys_procedureparameters

Describes stored procedure parameters.

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

SELECT * FROM sys_procedureparameters WHERE ProcedureName='SelectEntries' AND Direction=1 OR Direction=2
Columns
Name Type Description
CatalogName String The name of the database containing the stored procedure.
SchemaName String The name of the schema containing the stored procedure.
ProcedureName String The name of the stored procedure containing the parameter.
ColumnName String The name of the stored procedure parameter.
Direction Int32 An integer corresponding to the type of the parameter: input (1), input/output (2), or output(4). input/output type parameters can be both input and output parameters.
DataTypeName String The name of the data type.
DataType Int32 An integer indicating the data type. This value is determined at run time based on the environment.
Length Int32 The number of characters allowed for character data. The number of digits allowed for numeric data.
NumericPrecision Int32 The maximum precision for numeric data. The column length in characters for character and date-time data.
NumericScale Int32 The number of digits to the right of the decimal point in numeric data.
IsNullable Boolean Whether the parameter can contain null.
IsRequired Boolean Whether the parameter is required for execution of the procedure.
IsArray Boolean Whether the parameter is an array.
Description String The description of the parameter.
Ordinal Int32 The index of the parameter.

sys_keycolumns

Describes the primary and foreign keys.

The following query retrieves the primary key for the Movies table:

SELECT * FROM sys_keycolumns WHERE IsKey='True' AND TableName='Movies'
Columns
Name Type Description
CatalogName String The name of the database containing the key.
SchemaName String The name of the schema containing the key.
TableName String The name of the table containing the key.
ColumnName String The name of the key column.
IsKey Boolean Whether the column is a primary key in the table referenced in the TableName field.
IsForeignKey Boolean Whether the column is a foreign key referenced in the TableName field.
PrimaryKeyName String The name of the primary key.
ForeignKeyName String The name of the foreign key.
ReferencedCatalogName String The database containing the primary key.
ReferencedSchemaName String The schema containing the primary key.
ReferencedTableName String The table containing the primary key.
ReferencedColumnName String The column name of the primary key.

sys_foreignkeys

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
Name Type Description
CatalogName String The name of the database containing the key.
SchemaName String The name of the schema containing the key.
TableName String The name of the table containing the key.
ColumnName String The name of the key column.
PrimaryKeyName String The name of the primary key.
ForeignKeyName String The name of the foreign key.
ReferencedCatalogName String The database containing the primary key.
ReferencedSchemaName String The schema containing the primary key.
ReferencedTableName String The table containing the primary key.
ReferencedColumnName String The column name of the primary key.
ForeignKeyType String Designates whether the foreign key is an import (points to other tables) or export (referenced from other tables) key.

sys_indexes

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
Name Type Description
CatalogName String The name of the database containing the index.
SchemaName String The name of the schema containing the index.
TableName String The name of the table containing the index.
IndexName String The index name.
ColumnName String The name of the column associated with the index.
IsUnique Boolean True if the index is unique. False otherwise.
IsPrimary Boolean True if the index is a primary key. False otherwise.
Type Int16 An integer value corresponding to the index type: statistic (0), clustered (1), hashed (2), or other (3).
SortOrder String The sort order: A for ascending or D for descending.
OrdinalPosition Int16 The sequence number of the column in the index.

sys_connection_props

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

When querying this table, the config connection string should be used:

jdbc:cdata:cloudant:config:

This connection string enables you to query this table without a valid connection.

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
Name Type Description
Name String The name of the connection property.
ShortDescription String A brief description.
Type String The data type of the connection property.
Default String The default value if one is not explicitly set.
Values String A comma-separated list of possible values. A validation error is thrown if another value is specified.
Value String The value you set or a preconfigured default.
Required Boolean Whether the property is required to connect.
Category String The category of the connection property.
IsSessionProperty String Whether the property is a session property, used to save information about the current connection.
Sensitivity String The sensitivity level of the property. This informs whether the property is obfuscated in logging and authentication forms.
PropertyName String A camel-cased truncated form of the connection property name.
Ordinal Int32 The index of the parameter.
CatOrdinal Int32 The index of the parameter category.
Hierarchy String Shows dependent properties associated that need to be set alongside this one.
Visible Boolean Informs whether the property is visible in the connection UI.
ETC String Various miscellaneous information about the property.

sys_sqlinfo

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

Collaborative Query Processing

When working with data sources that do not support SQL-92, you can query the sys_sqlinfo view to determine the query capabilities of the underlying APIs, expressed in SQL syntax. The connector offloads as much of the SELECT statement processing as possible to the server and then processes the rest of the query in memory.

Discover the Data Source's SELECT Capabilities

Below is an example data set of SQL capabilities. The following result set indicates the SELECT functionality that the connector can offload to the data source or process client side. Your data source may support additional SQL syntax. Some aspects of SELECT functionality are returned in a comma-separated list if supported; otherwise, the column contains NO.

Name Description Possible Values
AGGREGATE_FUNCTIONS Supported aggregation functions. AVG, COUNT, MAX, MIN, SUM, DISTINCT
COUNT Whether COUNT function is supported. YES, NO
IDENTIFIER_QUOTE_OPEN_CHAR The opening character used to escape an identifier. [
IDENTIFIER_QUOTE_CLOSE_CHAR The closing character used to escape an identifier. ]
SUPPORTED_OPERATORS A list of supported SQL operators. =, >, <, >=, <=, <>, !=, LIKE, NOT LIKE, IN, NOT IN, IS NULL, IS NOT NULL, AND, OR
GROUP_BY Whether GROUP BY is supported, and, if so, the degree of support. NO, NO_RELATION, EQUALS_SELECT, SQL_GB_COLLATE
STRING_FUNCTIONS Supported string functions. LENGTH, CHAR, LOCATE, REPLACE, SUBSTRING, RTRIM, LTRIM, RIGHT, LEFT, UCASE, SPACE, SOUNDEX, LCASE, CONCAT, ASCII, REPEAT, OCTET, BIT, POSITION, INSERT, TRIM, UPPER, REGEXP, LOWER, DIFFERENCE, CHARACTER, SUBSTR, STR, REVERSE, PLAN, UUIDTOSTR, TRANSLATE, TRAILING, TO, STUFF, STRTOUUID, STRING, SPLIT, SORTKEY, SIMILAR, REPLICATE, PATINDEX, LPAD, LEN, LEADING, KEY, INSTR, INSERTSTR, HTML, GRAPHICAL, CONVERT, COLLATION, CHARINDEX, BYTE
NUMERIC_FUNCTIONS Supported numeric functions. ABS, ACOS, ASIN, ATAN, ATAN2, CEILING, COS, COT, EXP, FLOOR, LOG, MOD, SIGN, SIN, SQRT, TAN, PI, RAND, DEGREES, LOG10, POWER, RADIANS, ROUND, TRUNCATE
TIMEDATE_FUNCTIONS Supported date/time functions. NOW, CURDATE, DAYOFMONTH, DAYOFWEEK, DAYOFYEAR, MONTH, QUARTER, WEEK, YEAR, CURTIME, HOUR, MINUTE, SECOND, TIMESTAMPADD, TIMESTAMPDIFF, DAYNAME, MONTHNAME, CURRENT_DATE, CURRENT_TIME, CURRENT_TIMESTAMP, EXTRACT
REPLICATION_SKIP_TABLES Indicates tables skipped during replication.
REPLICATION_TIMECHECK_COLUMNS A string array containing a list of columns which will be used to check for (in the given order) to use as a modified column during replication.
IDENTIFIER_PATTERN String value indicating what string is valid for an identifier.
SUPPORT_TRANSACTION Indicates if the provider supports transactions such as commit and rollback. YES, NO
DIALECT Indicates the SQL dialect to use.
KEY_PROPERTIES Indicates the properties which identify the uniform database.
SUPPORTS_MULTIPLE_SCHEMAS Indicates if multiple schemas may exist for the provider. YES, NO
SUPPORTS_MULTIPLE_CATALOGS Indicates if multiple catalogs may exist for the provider. YES, NO
DATASYNCVERSION The Data Sync version needed to access this driver. Standard, Starter, Professional, Enterprise
DATASYNCCATEGORY The Data Sync category of this driver. Source, Destination, Cloud Destination
SUPPORTSENHANCEDSQL Whether enhanced SQL functionality beyond what is offered by the API is supported. TRUE, FALSE
SUPPORTS_BATCH_OPERATIONS Whether batch operations are supported. YES, NO
SQL_CAP All supported SQL capabilities for this driver. SELECT, INSERT, DELETE, UPDATE, TRANSACTIONS, ORDERBY, OAUTH, ASSIGNEDID, LIMIT, LIKE, BULKINSERT, COUNT, BULKDELETE, BULKUPDATE, GROUPBY, HAVING, AGGS, OFFSET, REPLICATE, COUNTDISTINCT, JOINS, DROP, CREATE, DISTINCT, INNERJOINS, SUBQUERIES, ALTER, MULTIPLESCHEMAS, GROUPBYNORELATION, OUTERJOINS, UNIONALL, UNION, UPSERT, GETDELETED, CROSSJOINS, GROUPBYCOLLATE, MULTIPLECATS, FULLOUTERJOIN, MERGE, JSONEXTRACT, BULKUPSERT, SUM, SUBQUERIESFULL, MIN, MAX, JOINSFULL, XMLEXTRACT, AVG, MULTISTATEMENTS, FOREIGNKEYS, CASE, LEFTJOINS, COMMAJOINS, WITH, LITERALS, RENAME, NESTEDTABLES, EXECUTE, BATCH, BASIC, INDEX
PREFERRED_CACHE_OPTIONS A string value specifies the preferred cacheOptions.
ENABLE_EF_ADVANCED_QUERY Indicates if the driver directly supports advanced queries coming from Entity Framework. If not, queries will be handled client side. YES, NO
PSEUDO_COLUMNS A string array indicating the available pseudo columns.
MERGE_ALWAYS If the value is true, The Merge Mode is forcibly executed in Data Sync. TRUE, FALSE
REPLICATION_MIN_DATE_QUERY A select query to return the replicate start datetime.
REPLICATION_MIN_FUNCTION Allows a provider to specify the formula name to use for executing a server side min.
REPLICATION_START_DATE Allows a provider to specify a replicate startdate.
REPLICATION_MAX_DATE_QUERY A select query to return the replicate end datetime.
REPLICATION_MAX_FUNCTION Allows a provider to specify the formula name to use for executing a server side max.
IGNORE_INTERVALS_ON_INITIAL_REPLICATE A list of tables which will skip dividing the replicate into chunks on the initial replicate.
CHECKCACHE_USE_PARENTID Indicates whether the CheckCache statement should be done against the parent key column. TRUE, FALSE
CREATE_SCHEMA_PROCEDURES Indicates stored procedures that can be used for generating schema files.

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

SELECT * FROM sys_sqlinfo WHERE Name='SUPPORTED_OPERATORS'

Note that individual tables may have different limitations or requirements on the WHERE clause; refer to the NoSQL Database section for more information.

Columns
Name Type Description
NAME String A component of SQL syntax, or a capability that can be processed on the server.
VALUE String Detail on the supported SQL or SQL syntax.

sys_identity

Returns information about attempted modifications.

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

SELECT * FROM sys_identity
Columns
Name Type Description
Id String The database-generated ID returned from a data modification operation.
Batch String An identifier for the batch. 1 for a single operation.
Operation String The result of the operation in the batch: INSERTED, UPDATED, or DELETED.
Message String SUCCESS or an error message if the update in the batch failed.

Stored Procedures

Stored procedures are available to complement the data available from the NoSQL Database. It may be necessary to update data available from a view using a stored procedure because the data does not provide for direct, table-like, two-way updates. In these situations, the retrieval of the data is done using the appropriate view or table, while the update is done by calling a stored procedure. Stored procedures take a list of parameters and return back a dataset that contains the collection of tuples that constitute the response.

Jitterbit Connector for Cloudant Stored Procedures

Name Description
CreateSchema Creates a schema definition of a table in Cloudant. Control column discovery with FlattenObjects, FlattenArrays, TypeDetectionScheme, and RowScanDepth.
GetOAuthAccessToken Gets an authentication token from IBM Cloud. The connection property ApiKey must be specified when calling this stored procedure.
RefreshOAuthAccessToken Refreshes the OAuth access token used for authentication with IBM Cloud. The connection property ApiKey must be specified when calling this stored procedure.

CreateSchema

Creates a schema definition of a table in Cloudant. Control column discovery with FlattenObjects, FlattenArrays, TypeDetectionScheme, and RowScanDepth.

Input
Name Type Required Description
TableName String True The name of the table.
FileName String False The full file path and name of the schema to generate, required if the location connection property is not set. Ex : 'C:\Users\User\Desktop\Cloudant\sheet.rsd'
SimplifyNames String False Whether to output simple names for columns or not. Default is to simplify.
Result Set Columns
Name Type Description
Result String Whether or not the schema was successfully downloaded.

GetOAuthAccessToken

Gets an authentication token from IBM Cloud. The connection property ApiKey must be specified when calling this stored procedure.

Result Set Columns
Name Type Description
OAuthAccessToken String The access token used for communication with IBM Cloud.
OAuthRefreshToken String The OAuth refresh token. This is the same as the access token in the case of IBM Cloud.
ExpiresIn String The remaining lifetime on the access token. A -1 denotes that it will not expire.

RefreshOAuthAccessToken

Refreshes the OAuth access token used for authentication with IBM Cloud. The connection property ApiKey must be specified when calling this stored procedure.

Input
Name Type Required Description
OAuthRefreshToken String True The refresh token returned from the original authorization code exchange.
Result Set Columns
Name Type Description
OAuthAccessToken String The authentication token returned from IBM CLoud. This can be used in subsequent calls to other operations for this particular service.
OAuthRefreshToken String A token that may be used to obtain a new access token.
ExpiresIn String The remaining lifetime on the access token.

Advanced Features

This section details a selection of advanced features of the Cloudant connector.

User Defined Views

The connector 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.

SSL Configuration

Use SSL Configuration to adjust how connector handles TLS/SSL certificate negotiations. You can choose from various certificate formats; see the SSLServerCert property under "Connection String Options" for more information.

Proxy

To configure the connector using Private Agent proxy settings, select the Use Proxy Settings checkbox on the connection configuration screen.

User Defined Views

The Jitterbit Connector for Cloudant allows you to define a virtual table whose contents are decided by a pre-configured query. These are called User Defined Views, which are useful in situations where you cannot directly control the query being issued to the driver, e.g. when using the driver from Jitterbit. The User Defined Views can be used to define predicates that are always applied. If you specify additional predicates in the query to the view, they are combined with the query already defined as part of the view.

There are two ways to create user defined views:

  • Create a JSON-formatted configuration file defining the views you want.
  • DDL statements.

Define Views Using a Configuration File

User Defined Views are defined in a JSON-formatted configuration file called UserDefinedViews.json. The connector 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 connector.

This User Defined View configuration file is formatted as follows:

  • Each root element defines the name of a view.
  • Each root element contains a child element, called query, which contains the custom SQL query for the view.

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"

Schema for User Defined Views

User Defined Views are exposed in the UserViews schema by default. This is done to avoid the view's name clashing with an actual entity in the data model. You can change the name of the schema used for UserViews by setting the UserViewsSchemaName property.

Work with User Defined Views

For example, a SQL statement with a User Defined View called UserViews.RCustomers only lists customers in Raleigh:

SELECT * FROM Customers WHERE City = 'Raleigh';

An example of a query to the driver:

SELECT * FROM UserViews.RCustomers WHERE Status = 'Active';

Resulting in the effective query to the source:

SELECT * FROM Customers WHERE City = 'Raleigh' AND Status = 'Active';

That is a very simple example of a query to a User Defined View that is effectively a combination of the view query and the view definition. It is possible to compose these queries in much more complex patterns. All SQL operations are allowed in both queries and are combined when appropriate.

SSL Configuration

Customize the SSL Configuration

By default, the connector 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.

Advanced Configurations Properties

The advanced configurations 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. Click the links for further details.

Authentication

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.

OAuth

Property Description
InitiateOAuth Set this property to initiate the process to obtain or refresh the OAuth access token when you connect.
OAuthRefreshToken The OAuth refresh token for the corresponding OAuth access token.
OAuthExpiresIn The lifetime in seconds of the OAuth AccessToken.
OAuthTokenTimestamp The Unix epoch timestamp in milliseconds when the current Access Token was created.

SSL

Property Description
SSLServerCert The certificate to be accepted from the server when connecting using TLS/SSL.

Schema

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.

Miscellaneous

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.

Authentication

This section provides a complete list of authentication properties you can configure.

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.

AuthScheme

The type of authentication to use when connecting to Cloudant.

Possible Values

Auto, Basic, OAuth

Data Type

string

Default Value

Auto

Remarks
  • Auto: Lets the driver decide automatically based on the other connection properties you have set.
  • Basic: Set this to use BASIC user / password authentication.
  • OAuth: Set this to perform OAuth authentication. For this method you will need the APIKey and URL of Cloudant instance.

URL

The URL used to connect to the Cloudant.

Data Type

string

Default Value

""

Remarks

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}

User

The Cloudant user account used to authenticate.

Data Type

string

Default Value

""

Remarks

Together with Password, this field is used to authenticate against the Cloudant server.

Password

The password used to authenticate the user.

Data Type

string

Default Value

""

Remarks

The User and Password are together used to authenticate with the server.

ApiKey

The API Key used to identify the user to IBM Cloud.

Data Type

string

Default Value

""

Remarks

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'.

OAuth

This section provides a complete list of OAuth properties you can configure.

Property Description
InitiateOAuth Set this property to initiate the process to obtain or refresh the OAuth access token when you connect.
OAuthRefreshToken The OAuth refresh token for the corresponding OAuth access token.
OAuthExpiresIn The lifetime in seconds of the OAuth AccessToken.
OAuthTokenTimestamp The Unix epoch timestamp in milliseconds when the current Access Token was created.

InitiateOAuth

Set this property to initiate the process to obtain or refresh the OAuth access token when you connect.

Possible Values

OFF, GETANDREFRESH, REFRESH

Data Type

string

Default Value

OFF

Remarks

The following options are available:

  1. OFF: Indicates that the OAuth flow will be handled entirely by the user. An OAuthAccessToken will be required to authenticate.
  2. GETANDREFRESH: Indicates that the entire OAuth Flow will be handled by the connector. If no token currently exists, it will be obtained by prompting the user via the browser. If a token exists, it will be refreshed when applicable.
  3. REFRESH: Indicates that the connector will only handle refreshing the OAuthAccessToken. The user will never be prompted by the connector to authenticate via the browser. The user must handle obtaining the OAuthAccessToken and OAuthRefreshToken initially.

OAuthRefreshToken

The OAuth refresh token for the corresponding OAuth access token.

Data Type

string

Default Value

""

Remarks

The OAuthRefreshToken property is used to refresh the OAuthAccessToken when using OAuth authentication.

OAuthExpiresIn

The lifetime in seconds of the OAuth AccessToken.

Data Type

string

Default Value

""

Remarks

Pair with OAuthTokenTimestamp to determine when the AccessToken will expire.

OAuthTokenTimestamp

The Unix epoch timestamp in milliseconds when the current Access Token was created.

Data Type

string

Default Value

""

Remarks

Pair with OAuthExpiresIn to determine when the AccessToken will expire.

SSL

This section provides a complete list of SSL properties you can configure.

Property Description
SSLServerCert The certificate to be accepted from the server when connecting using TLS/SSL.

SSLServerCert

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

Data Type

string

Default Value

""

Remarks

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.

Certificates are validated as trusted by the machine based on the System's trust store. The trust store used is the 'javax.net.ssl.trustStore' value specified for the system. If no value is specified for this property, Java's default trust store is used (for example, JAVA_HOME\lib\security\cacerts).

Use '*' to signify to accept all certificates. Note that this is not recommended due to security concerns.

Schema

This section provides a complete list of schema properties you can configure.

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.

Location

A path to the directory that contains the schema files defining tables, views, and stored procedures.

Data Type

string

Default Value

%APPDATA%\Cloudant Data Provider\Schema

Remarks

The path to a directory which contains the schema files for the connector (.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%\Cloudant Data Provider\Schema" with %APPDATA% being set to the user's configuration directory:

Platform %APPDATA%
Windows The value of the APPDATA environment variable
Mac ~/Library/Application Support
Linux ~/.config

BrowsableSchemas

This property restricts the schemas reported to a subset of the available schemas. For example, BrowsableSchemas=SchemaA,SchemaB,SchemaC.

Data Type

string

Default Value

""

Remarks

Listing the schemas from databases can be expensive. Providing a list of schemas in the connection string improves the performance.

Tables

This property restricts the tables reported to a subset of the available tables. For example, Tables=TableA,TableB,TableC.

Data Type

string

Default Value

""

Remarks

Listing the tables from some databases can be expensive. Providing a list of tables in the connection string improves the performance of the connector.

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.

Views

Restricts the views reported to a subset of the available tables. For example, Views=ViewA,ViewB,ViewC.

Data Type

string

Default Value

""

Remarks

Listing the views from some databases can be expensive. Providing a list of views in the connection string improves the performance of the connector.

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.

ListViews

Whether to list views from Cloudant or not.

Data Type

bool

Default Value

false

Remarks

Set this property to true for Cloudant views to show up when listing tables.

Miscellaneous

This section provides a complete list of miscellaneous properties you can configure.

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.

FlattenArrays

Set FlattenArrays to the number of array elements to flatten into columns. Otherwise, arrays are returned as JSON strings.

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: 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.

FlattenObjects

Set FlattenObjects to true to flatten object properties into columns of their own. Otherwise, embedded objects as raw JSON strings.

Data Type

bool

Default Value

true

Remarks

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

FlexibleSchema

Set FlexibleSchema to true to scan for additional metadata on the query result set. Otherwise, the metadata will remain the same.

Data Type

bool

Default Value

true

Remarks

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.

Data Type

int

Default Value

-1

Remarks

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.

Data Type

string

Default Value

""

Remarks

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.

Integration and Formatting
Property Description
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.

Pagesize

The maximum number of results to return per page from Cloudant.

Data Type

int

Default Value

1000

Remarks

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.

PseudoColumns

This property indicates whether or not to include pseudo columns as columns to the table.

Data Type

string

Default Value

""

Remarks

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, "*=*".

RowScanDepth

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

Data Type

int

Default Value

50

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.

SeparatorCharacter

The character or characters used to denote hierarchy.

Data Type

string

Default Value

.

Remarks

In order to flatten out hierarchical structures, the connector 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.

Timeout

The value in seconds until the timeout error is thrown, canceling the operation.

Data Type

int

Default Value

60

Remarks

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 connector throws an exception.

TypeDetectionScheme

Option for how the provider will scan the data to determine the fields and data types in each document collection.

Data Type

string

Default Value

RowScan

Remarks

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.

Property Description
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.
See Also

Type detection is part of Automatic Schema Discovery. Set FlattenArrays and FlattenObjects to configure how the connector 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.