blue-boots-43993
01/27/2022, 8:24 AMloud-camera-71352
01/27/2022, 9:39 AMblue-boots-43993
01/27/2022, 9:41 AMblue-boots-43993
01/27/2022, 9:43 AMblue-boots-43993
01/27/2022, 9:44 AMbig-carpet-38439
01/28/2022, 12:32 AMbig-carpet-38439
01/28/2022, 12:32 AMbig-carpet-38439
01/28/2022, 12:32 AMbig-carpet-38439
01/28/2022, 12:32 AMblue-boots-43993
01/28/2022, 7:44 PMurn:li:dataset:(urn:li:dataPlatform:qlik,Actual,PROD) and chart's is urn:li:chart:(qlik,dummy)blue-boots-43993
01/28/2022, 7:45 PMinput_datasets: List[str] = [
builder.make_dataset_urn(platform="qlik", name="RegMans", env="PROD"),
builder.make_dataset_urn(platform="qlik", name="Master_Calendar", env="PROD"),
builder.make_dataset_urn(platform="qlik", name="Actual", env="PROD"),
builder.make_dataset_urn(platform="qlik", name="SubscriptionRevenue", env="PROD")
]
last_modified = ChangeAuditStampsClass()
chart_info = ChartInfoClass(
title="dummy",
description="",
lastModified=last_modified,
inputs=input_datasets
)
chart_info_mcp = MetadataChangeProposalWrapper(
entityType="chart",
changeType=ChangeTypeClass.UPSERT,
entityUrn=builder.make_chart_urn(platform="qlik", name="dummy"),
aspectName="chartInfo",
aspect=chart_info,
)blue-boots-43993
01/28/2022, 7:46 PMblue-boots-43993
01/28/2022, 7:50 PMblue-boots-43993
01/28/2022, 7:52 PMblue-boots-43993
01/28/2022, 7:56 PMbig-carpet-38439
01/28/2022, 8:25 PMbig-carpet-38439
01/28/2022, 8:25 PMbig-carpet-38439
01/28/2022, 8:26 PMbig-carpet-38439
01/28/2022, 8:26 PMbig-carpet-38439
01/28/2022, 8:27 PMbig-carpet-38439
01/28/2022, 8:27 PMbig-carpet-38439
01/28/2022, 8:42 PMbig-carpet-38439
01/28/2022, 8:42 PMbig-carpet-38439
01/28/2022, 8:43 PMbig-carpet-38439
01/28/2022, 8:43 PMbig-carpet-38439
01/28/2022, 8:43 PMdazzling-appointment-34954
02/04/2022, 10:59 AMdazzling-appointment-34954
02/04/2022, 11:01 AMbig-carpet-38439
02/06/2022, 8:42 PMbig-carpet-38439
02/06/2022, 8:43 PMdazzling-appointment-34954
02/07/2022, 7:47 AMblue-boots-43993
02/07/2022, 6:55 PMQuick question - if you fill out the "description" field in the ChartInfo aspect, do you see that reflected into DataHub?positive
I also notice you have salesforce in there -- awesome!!! Would you be willing to share code for that?Yes I do, and it's nothing spectacular....I downloaded a free trial of CDATA's driver and basically used a standard sqlalchemy recipe
What version of datahub cli and server are you running?0.8.22.1
blue-boots-43993
02/07/2022, 7:00 PMblue-boots-43993
02/07/2022, 7:13 PMblue-boots-43993
02/07/2022, 7:58 PMblue-boots-43993
02/07/2022, 7:59 PMblue-boots-43993
02/07/2022, 8:50 PMdazzling-appointment-34954
02/07/2022, 9:15 PMbig-carpet-38439
02/07/2022, 9:34 PMbig-carpet-38439
02/07/2022, 9:35 PMbig-carpet-38439
02/07/2022, 9:37 PM0.8.24 of DataHub this issue should be resolved.. Sometimes the images are cached by docker and the new version is not fetched, so you need to be sure that you're Docker image is actually being updatedblue-boots-43993
02/08/2022, 6:09 AMdatahub dokcer quickstart in order to fetch new versions of containers and then
python -m pip install --upgrade acryl-datahub
to update the python packagedazzling-appointment-34954
02/08/2022, 11:46 AMblue-boots-43993
02/08/2022, 11:54 AMbig-carpet-38439
02/09/2022, 2:53 AMbig-carpet-38439
02/09/2022, 2:53 AMfresh-cricket-75926
12/09/2022, 9:37 AMblue-boots-43993
12/11/2022, 12:22 PMblue-boots-43993
12/11/2022, 12:22 PM