forked from docs/doc-exports
Reviewed-by: Pruthi, Vineet <vineet.pruthi@t-systems.com> Co-authored-by: Hasko, Vladimir <vladimir.hasko@t-systems.com> Co-committed-by: Hasko, Vladimir <vladimir.hasko@t-systems.com>
16 lines
1.4 KiB
HTML
16 lines
1.4 KiB
HTML
<a name="dli_09_0124"></a><a name="dli_09_0124"></a>
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<h1 class="topictitle1">Obtaining the Server Connection Address</h1>
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<div id="body8662426"><div class="section" id="dli_09_0124__en-us_topic_0093946851_section26616723151647"><h4 class="sectiontitle">Scenario</h4><p id="dli_09_0124__en-us_topic_0093946851_p19197496151650">On DLI, you can connect to the server for data query in the Internet environment. In this case, you need to first obtain the connection information, including the endpoint and project ID by following the following procedure.</p>
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<div class="section" id="dli_09_0124__en-us_topic_0093946851_section5539467151713"><h4 class="sectiontitle">Procedure</h4><p id="dli_09_0124__en-us_topic_0093946851_p880312216531">The format of the address for connecting to DLI is jdbc:dli://<endPoint>/<projectId>. Therefore, you need to obtain the endpoint and project ID.</p>
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<p id="dli_09_0124__en-us_topic_0093946851_p33898414152138">Obtain the DLI endpoint from the administrator. Specifically, log in to the cloud, click your username, and choose <strong id="dli_09_0124__b86924584169">My Credentials</strong> from the short-cut menu. You can obtain the project ID on the <strong id="dli_09_0124__b669265814164">My Credentials</strong> page.</p>
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<div class="familylinks">
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<div class="parentlink"><strong>Parent topic:</strong> <a href="dli_09_0123.html">Submitting a Spark SQL Job Using JDBC</a></div>
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