![]() ![]() ![]() In Navigator, select the data you require, and then select Transform data. Select or clear Use Encrypted Connection depending on whether you want to use an encrypted connection or not. Select the type of authentication you want to use in Authentication kind, and then enter your credentials. If needed, select the on-premises data gateway in Data gateway. In this example, :5439 is the server name and port number, and dev is the database name. In Database, enter the name of the Amazon Redshift database you want to access. As part of the Server field, you can also specify a port in the following format: ServerURL:Port. In Server, enter the server name where your data is located. Select the Amazon Redshift option in the Power Query - Choose data source page. Select either the Import or DirectQuery data connectivity mode, and then select OK.Ĭonnect to Amazon Redshift data from Power Query Online Once you've selected the elements you want, then either select Load to load the data or Transform Data to continue transforming the data in Power Query Editor. Choose one or more of the elements you want to import. Once you successfully connect, a Navigator window appears and displays the data available on the server. More information: Authentication with a data source If this is the first time you're connecting to this database, enter your credentials in the User name and Password boxes of the Amazon Redshift authentication type. More information: Connect using advanced optionsĪfter you have finished filling in and selecting all the options you need, select OK. ![]() You can also choose some optional advanced options for your connection. In this example, :5439 is the server name and port number, dev is the database name, and Data Connectivity mode is set to Import. Select the Amazon Redshift option in the Get Data selection. PrerequisitesĬonnect to Amazon Redshift data from Power Query Desktop The queries presume that the Redshift data source is configured to support native queries, which is done by adding "supportsNativeQueries=TRUE" as a translator property to the data source configuration.Some capabilities may be present in one product but not others due to deployment schedules and host-specific capabilities. This can be achieved by scheduling the following SQL job, for example, to run every night. For optimal operation, Redshift requires that the VACUUM and ANALYZE commands are run at regular intervals of time.Please consult Amazon Redshift documentation for details: how to configure Query concurrency on Amazon Redshift. For heavy loads, an even higher number will be necessary. We recommend allowing at least 15 concurrent queries. Default query concurrency on Redshift - 5 concurrent queries - should be increased for the Data Virtuality Server.Please use the translator properties varcharReserveAdditionalSpacePercent and truncateStrings to configure your Analytical Storage if needed That means that the varchar(X) field on RedShift is sometimes able to store fewer characters than comparable types on other systems, especially if and when international characters are used. Redshift calculates the VARCHAR length in bytes, whereas most other SQL databases, including the Data Virtuality Server, calculate the size in characters. The maximum length of the VARCHAR type is 65534 bytes.Redshift does not support BLOB or CLOB type.Loading data using S3 (S3LOAD) should be configured for any productive usage, as inserting data into Redshift using standard JDBC protocol can be extremely slow.When using Amazon Redshift as analytical storage, keep in mind the following: ![]()
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