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Google Cloud Storage

Google Cloud Storage can be used as:

Limitations and considerations

The following limitations apply:

  • Full LOB Mode is not supported.
  • Database names, schema names, or table names containing slash (/) or backslash (\) characters are not supported.

Prerequisites

The JSON credentials specified in the connector settings must be for an account that has read and write access to the specified bucket.

Setting Google Cloud Storage connection properties

To configure the connector, do the following:

  1. In Connections, click Create connection.

  2. Select the Google Cloud Storage target connector and then provide the following settings:

Data target

Data gateway: Select the Data Movement gateway that will be used to test the connection to Google Cloud Storage. This should be the same Data Movement gateway deployed to land data from the data source.

Connection properties

  • Service account key: The JSON credentials for the service account key with read and write access to the Google Cloud Storage bucket. Click Upload and select the JSON file with the service account key.

    Information noteThe specified account key must have read and write access to the specified bucket and folder.
  • Bucket name: The Google Cloud Storage bucket.

Internal properties

Internal properties are for special use cases and are therefore not exposed in the dialog. You should only use them if instructed by Qlik Support.

Use the Create new and Cancel buttons to the right of the fields to add or remove properties as needed.

Name

The display name for the connection.

Data type mapping

The following table shows the default mapping from Qlik Cloud data types to Google Cloud Storage data types.

Information noteThe data type mappings are only relevant if the Create metadata files in the target folder option in the "Land data in data lake" task settings is enabled.

Mapping from Qlik Cloud data types to Google Cloud Storage

Qlik Cloud and Google Cloud Storage data types
Data Movement gateway data types Google Cloud Storage Target data types

DATE

DATE

TIME

TIME

DATETIME

DATETIME

BYTES

BYTES (length)

BLOB

BLOB

REAL4

REAL4 (7)

REAL8

REAL8 (14)

INT1

INT1 (3)

INT2

INT2 (5)

INT4

INT4 (10)

INT8

INT8 (19)

UINT1

UINT1 (3)

UINT2

UINT2 (5)

UINT4

UINT4 (10)

UINT8

UINT8 (20)

NUMERIC

NUMERIC (p,s)

STRING

STRING (Length)

WSTRING

STRING (Length)

CLOB

CLOB

NCLOB

NCLOB

BOOLEAN

BOOLEAN (1)

Mapping from Qlik Cloud data types to Parquet

When Parquet is set as the file format, due to the limited number of data types supported by Parquet, the data type mappings will be as follows:

Parquet data type mappings
Qlik Cloud Data Type Parquet Primitive Type Logical Type

BOOLEAN

BOOLEAN

 

INT1

INT32

INT(8, true)

INT2

INT32

INT(16, true)

INT4

INT32

 

INT8

INT64

 

UINT1

INT32

INT(8, false)

UINT2

INT32

INT(16, false)

UINT4

INT64

 

UINT8

INT64

INT(64, false)

REAL4

FLOAT

 

REAL8

DOUBLE

 

NUMERIC

FIXED_LEN_BYTE_ARRAY (16)

DECIMAL (precision, scale)

STRING

BYTE_ARRAY

STRING

WSTRING

BYTE_ARRAY

STRING

BYTES

BYTE_ARRAY

 

BLOB

BYTE_ARRAY

 

CLOB

BYTE_ARRAY

STRING

NCLOB

BYTE_ARRAY

STRING

DATE

INT32

DATE

TIME

INT32

TIME (UTC=true, unit=MILLIS)

DATETIME

INT64

TIMESTAMP (UTC=true, unit=MICROS)

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