Job Reader: Big Data
Use a Big Data Job Reader when reading from Azure CosmosDB or Google Cloud BigQuery system. These source platforms offer specific settings tailored to their unique characteristics.
CosmosDB Reader
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To read data from a CosmosDB database, select the desired Connection String and enter the desired SQL command. When reading from a NoSQL data source, use the Apply JSON/XML Column Transformation option to convert the data into rows and columns if desired.
A Database Name and Table is required, although DataZen can use the default settings specified by the Connection String. Only a CosmosDB SQL endpoint is supported.
This reader supports high watermark when using the @highwatermark
token directly as part
of the SQL command. The first time the job runs, or when a resync is performed, the high watermark value
will be an empty string.
BigQuery Reader
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To read data from a BigQuery table, select a BigQuery connection and enter the desired SQL command. By default, data returned by BigQuery is already provided as rows and columns.
This reader supports high watermark when using the @highwatermark
token directly as part
of the SQL command. The first time the job runs, or when a resync is performed, the high watermark value
will be an empty string.
TIP: If the high watermark field is numeric, you can prepend the token with a 0, for example:
id > 0@highwatermark
.
Since the first time the query runs the mark is an empty string, the query will return
all records in this example.