Known issues and limitations in Data Visualization 7.0.2
Learn about the known issues and limitations that you might experience while using Cloudera Data Visualization. You can find information about the areas of impact, affected product versions, and possible workarounds.
- Picklist in complex data types Show Selected unselects previous selections
- Show selected in a filter list selection may not show all selections depending on the data type. A fix is expected in a future release.
- Workaround
- None
- Versions affected
- Cloudera Data Visualization 7.0.2 - 7.2.9
- Fixed in version
- N/A
- Cloudera issue
- VIZ-456
- Inconsistent support for non-roman or character-based alphabets across visual types
- Non-romanized or character-based alphabets are not consistently supported
across various visual types. If not supported, the affected visual is not properly rendered in
PDF/PNG downloads. CSV/Excel downloads and general dashboard viewing is available for all
languages.
The following languages are not supported when using a table visual.
In CML: In CDW: - Amharic (Ethiopia)
- Arabic (multiple countries)
- Bengali (Bangladesh)
- Berber (multiple countries)
- Burmese (Myanmar)
- Dari Pashto (Afghanistan)
- Dzongkha (Bhutan)
- Fijian (Fiji)
- Georgian
- Hebrew (Israel)
- Khmer (Cambodia)
- Lao
- Malay (Brunei)
- Many Indian languages
- Nepalese (Nepal)
- Persian (Iran)
- Tamil (Malaysia, India, Singapore)
- Thai (Thailand)
- Urdu (Pakistan)
- Amharic (Ethiopia)
- Bengali (Bangladesh)
- Burmese (Myanmar)
- Dzongkha (Bhutan)
- Fijian (Fiji)
- Khmer (Cambodia)
- Many Indian languages
- Nepalese (Nepal)
- Tamil (Malaysia, India, Singapore)
- Thai (Thailand)
- Workaround
- None
- Versions affected
- Cloudera Data Visualization 7.0.2 - 7.2.9
- Fixed in version
- N/A
- Cloudera issue
- VIZ-984
- Saved value does not show properly when arcapi is present
- After the fix included for VIZ-1070, a known issue is still present when using arcapi.sendParameters with app-scope filters.
- Workaround
- None
- Versions affected
- Cloudera Data Visualization 7.0.2 - 7.2.9
- Fixed in version
- N/A
- Cloudera issue
- VIZ-1181
- Filtering for null values does not work
- It is possible to create filters for fields whose set contains
NULL
values. However, it is not possible to display only the rows that haveNULL
for the filtered field value. - Workaround
- None
- Versions affected
- Cloudera Data Visualization 7.0.1 - 7.0.2
- Fixed in version
- 7.0.3
- Cloudera issue
- VIZ-1452
- Disable CDW warehouse input if there are no options
- In CDW, if there are no associated data warehouses in the same workspace, the dropdown appears, but remains empty. It will be disabled in future.
- Workaround
- None
- Versions affected
- Cloudera Data Visualization 7.0.1 - 7.0.4
- Fixed in version
- 7.0.5
- Cloudera issue
- VIZ-1454
- Upgrade snowflake-connector-python when the corresponding issue is fixed
- For some characters, snowflake queries return "Failed to convert current row, cause: 'utf-8' codec can't decode byte" error (SNOW-182387: UTF-8 decoding exception when querying table in SNOWFLAKE_SAMPLE_DATA).
- Workaround
- None
- Versions affected
- Cloudera Data Visualization 7.0.0 - 7.2.9
- Fixed in version
- Cloudera Data Visualization 7.2.2
- Cloudera issue
- VIZ-1455
- Console errors when queries are automatically cancelled
- Cancelled queries may result in intermittent dashboard errors or console errors unexpectedly.
- Workaround:
- None
- Versions affected:
- Cloudera Data Visualization 7.0.0 - 7.0.5
- Fixed in version:
- Cloudera Data Visualization 7.1.0
- Cloudera issue:
- VIZ-1457
- Issue with old currency display format handling
- Workaround
- None
- Versions affected:
- Cloudera Data Visualization 7.0.2
- Fixed in version:
- 7.0.3
- Cloudera issue:
- VIZ-1561
- Unable to clone visuals in some cases
- Workaround
- None
- Versions affected:
- Cloudera Data Visualization 7.0.2
- Fixed in version:
- 7.0.3
- Cloudera issue:
- VIZ-1562
- Impala connection failing
- While trying to connect Cloudera Data Visualization on CDSW, the connection test returns an error. This is due to a known THRIFT bug.
- Workaround:
- None
- Versions affected:
- Cloudera Data Visualization 7.0.2
- Fixed in version:
- 7.0.2-b35
- Cloudera issue:
- VIZ-1568
- Custom background color assignment on dimensions or measures not possible
- Cannot fix colors for specific dimension values or numeric ranges when adding background colors to tables or crosstabs.
- Workaround:
- To resolve this issue, add such basic custom styles into the application.
- Versions affected:
- Cloudera Data Visualization 7.0.0 - 7.0.3
- Fixed in version:
- 7.0.4
- Cloudera issue:
- VIZ-1580 & VIZ-1060
- If the user has not dismissed the “What’s New” modal using the “Got It” button, it can appear in emailed dashboards
- Workaround:
- To resolve this issue, click Got It in the What’s New modal.
- Versions affected:
- Cloudera Data Visualization 7.0.2
- Fixed in version:
- Cloudera Data Visualization 7.0.3
- Cloudera issue:
- VIZ-1605
- Trigger Jobs fail with "name 'username' is not defined" NameError
- Workaround:
- None
- Versions affected:
- Cloudera Data Visualization 7.0.1 - 7.0.4
- Fixed in version:
- 7.0.4-b41
- Cloudera issue:
- VIZ-1742
- Emailing jobs fail when SSL and TLS errors are disabled
- Workaround:
- To resolve this issue, switch to an email server that supports TLS or SSL.
- Versions affected:
- Cloudera Data Visualization 7.0.1 - 7.0.4
- Fixed in version:
- 7.0.4-b41
- Cloudera issue:
- VIZ-1743
- Histogram visual fails with an execution error “e.map is not a function”
- Workaround:
- N/A
- Versions affected:
- Cloudera Data Visualization 6.2.6 - 7.1.4
- Fixed in version:
- Cloudera Data Visualization 7.1.4-b74
- Cloudera issue:
- VIZ-2058
- Partitioned Cloudera Impala on premise extract tables cannot be updated
-
Tables in Cloudera Impala that are both partitioned and set as extract targets cannot be updated directly. This prevents operations such as dropping or adding new partitions.
- Workaround:
-
Move the data to a new table that supports altering commands. Then replace the original extract table by renaming the newly created table. Optionally, you can create a backup of the original table before replacing it.
A sample SQL workflow is provided below. Customize the components marked in blue, while the remaining parts of the query are standard.
-
Create a temporary table (
database_name.new_table_name
) that supports altering.create table database_name.cdv_table_name_new (table_definition) partitioned by (partition_field string) tblproperties('transactional'='false');
-
Copy existing data from the original extract target.
insert into database_name.cdv_table_name_new partition(partition_field) select * from database_name.cdv_table_name;
-
[Optional] Save the original extract target as a backup.
alter table database_name.cdv_table_name rename to database_name.cdv_table_name_bak;
-
Make the temporary table the current extract target.
alter table database_name.cdv_table_name_new rename to database_name.cdv_table_name;
-
- Versions affected:
- Cloudera Data Visualization 7.2.8 and all earlier versions
- Fixed in version:
- Cloudera Data Visualization 7.2.9
- Cloudera issue:
- VIZ-3042