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Posted to commits@datalab.apache.org by lf...@apache.org on 2022/09/08 08:41:14 UTC

[incubator-datalab] 03/03: [DATALAB-1408]: increased check interval during cluster creation and termination

This is an automated email from the ASF dual-hosted git repository.

lfrolov pushed a commit to branch DATALAB-1408
in repository https://gitbox.apache.org/repos/asf/incubator-datalab.git

commit 2bddbd170a8a67bac89c0d9beecb75f7b283f230
Author: leonidfrolov <fr...@gmail.com>
AuthorDate: Thu Sep 8 11:40:53 2022 +0300

    [DATALAB-1408]: increased check interval during cluster creation and termination
---
 infrastructure-provisioning/src/general/lib/azure/actions_lib.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/infrastructure-provisioning/src/general/lib/azure/actions_lib.py b/infrastructure-provisioning/src/general/lib/azure/actions_lib.py
index 3f45aa41d..6cb86ded6 100644
--- a/infrastructure-provisioning/src/general/lib/azure/actions_lib.py
+++ b/infrastructure-provisioning/src/general/lib/azure/actions_lib.py
@@ -1178,7 +1178,7 @@ class AzureActions:
             result = self.hdinsight_client.clusters.begin_create(resource_group_name, cluster_name, cluster_parameters)
             cluster = datalab.meta_lib.AzureMeta().get_hdinsight_cluster(resource_group_name, cluster_name)
             while cluster.properties.cluster_state != 'Running':
-                time.sleep(15)
+                time.sleep(30)
                 logging.info('The cluster is being provisioned... Please wait')
                 cluster = datalab.meta_lib.AzureMeta().get_hdinsight_cluster(resource_group_name, cluster_name)
             return result
@@ -1197,7 +1197,7 @@ class AzureActions:
             result = self.hdinsight_client.clusters.begin_delete(resource_group_name, cluster_name)
             cluster_status = datalab.meta_lib.AzureMeta().get_hdinsight_cluster(resource_group_name, cluster_name)
             while cluster_status:
-                time.sleep(15)
+                time.sleep(30)
                 logging.info('The cluster is being terminated... Please wait')
                 cluster_status = datalab.meta_lib.AzureMeta().get_hdinsight_cluster(resource_group_name, cluster_name)
             return result


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