walkerline117
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Best way to manage Snaplex
Hi, How can we manage our snaplex such that only certain number of projects can have access to this snaplex in the same project space? How can we manage our snaplex such that only certain number of project space can access to this snaplex. E.g. 2 out of 3 project spaces can access to our cloudplex . Thanks2.4KViews0likes1CommentNo space available to perform operation
Hi We notice that when we use aggregation snaps(e.g. sort/join) to process a large amount of data, we got “no space available to perform operation” error some times. It seems Snaplogic tries to hold those data in some disk space to do sorting/joining. Does anyone know which file system or path we should increase the space so we can eliminate the error? We are using Redhat Linux ThanksSolved4.2KViews0likes2CommentsRe: SnapLogic May 2019 (4.17) Release
we have a lot of errors during the upgrade window on Sunday: Basically we see below error in some of our Scheduled tasks that were triggered during the upgrade window on Sunday: HTTP Code: 500 Status: GET https://elastic.snaplogic.com:443/api/1/rest/asset/: Internal Server Error Errors: 500 Internal Server Error 500 Internal Server Error nginx . error_response: HTTP Code: 500 Status: GET https://elastic.snaplogic.com:443/api/1/rest/asset/: Internal Server Error Errors: 500 Internal Server Error 500 Internal Server Error nginx3KViews0likes0CommentsRe: Run ssh with Snaplogic script snap
from com.snaplogic.scripting.language import ScriptHook from com.snaplogic.scripting.language.ScriptHook import * from subprocess import Popen, PIPE import subprocess as subprocess class TransformScript(ScriptHook): def init(self, input, output, error, log): self.input = input self.output = output self.error = error self.log = log def execute(self): self.log.info("Executing Transform script") proc = Popen(["ssh", "orsubdev@dev-server.com", " pwd "], shell=False, stdout=PIPE, stderr=PIPE) proc1 = Popen(["ssh", "orsubdev@dev-server.com", " 7za x /dsdata/application/ORSUBDEV/CornerstoneLms/SourceFiles/testCasesSql.zip "], shell=False, stdout=PIPE, stderr=PIPE) out, err = proc.communicate() exitcode = proc.returncode proc.kill() self.output.write(out) self.log.info("Finished executing the Transform script") hook = TransformScript(input, output, error, log)2.5KViews0likes1Comment