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Posted to commits@datalab.apache.org by dy...@apache.org on 2022/10/28 11:13:09 UTC
[incubator-datalab] branch DATALAB-3082 created (now 2d7d41549)
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dyankiv pushed a change to branch DATALAB-3082
in repository https://gitbox.apache.org/repos/asf/incubator-datalab.git
at 2d7d41549 add des bucket for billing
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new 2d7d41549 add des bucket for billing
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[incubator-datalab] 01/01: add des bucket for billing
Posted by dy...@apache.org.
This is an automated email from the ASF dual-hosted git repository.
dyankiv pushed a commit to branch DATALAB-3082
in repository https://gitbox.apache.org/repos/asf/incubator-datalab.git
commit 2d7d41549a356c27eb22a7a49797593277105d32
Author: Denys Yankiv <de...@gmail.com>
AuthorDate: Fri Oct 28 13:08:32 2022 +0300
add des bucket for billing
---
.../main/java/com/epam/datalab/backendapi/util/BillingUtils.java | 6 ++++++
1 file changed, 6 insertions(+)
diff --git a/services/self-service/src/main/java/com/epam/datalab/backendapi/util/BillingUtils.java b/services/self-service/src/main/java/com/epam/datalab/backendapi/util/BillingUtils.java
index 026ae6192..7eb19ba55 100644
--- a/services/self-service/src/main/java/com/epam/datalab/backendapi/util/BillingUtils.java
+++ b/services/self-service/src/main/java/com/epam/datalab/backendapi/util/BillingUtils.java
@@ -51,6 +51,7 @@ public class BillingUtils {
private static final String EDGE_VOLUME_FORMAT = "%s-%s-%s-edge-volume-primary";
private static final String PROJECT_ENDPOINT_BUCKET_FORMAT = "%s-%s-%s-bucket";
private static final String ENDPOINT_SHARED_BUCKET_FORMAT = "%s-%s-shared-bucket";
+ private static final String DATA_ENGINE_BUCKET_FORMAT = "%s-bucket";
private static final String VOLUME_PRIMARY_FORMAT = "%s-volume-primary";
private static final String VOLUME_PRIMARY_COMPUTATIONAL_FORMAT = "%s-%s-volume-primary";
@@ -178,6 +179,11 @@ public class BillingUtils {
.resourceName(cr.getComputationalName())
.datalabId(String.format(VOLUME_SECONDARY_COMPUTATIONAL_FORMAT, computationalId, "m"))
.resourceType(VOLUME)
+ .build(),
+ withUserProjectEndpoint(userInstance)
+ .resourceName(cr.getComputationalName())
+ .datalabId(String.format(DATA_ENGINE_BUCKET_FORMAT, computationalId))
+ .resourceType(BUCKET)
.build()
),
getSlaveVolumes(userInstance, cr, maxSparkInstanceCount)
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