# \#metadata

**URL:** https://community.cdata.com/tag/metadata/393.md

[Latest](https://community.cdata.com/latest.md) · [Categories](https://community.cdata.com/categories.md) · [Tags](https://community.cdata.com/tags.md)

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## [HRESULT: 0xC0047043 Exception when using SSIS components](https://community.cdata.com/t/hresult-0xc0047043-exception-when-using-ssis-components/1245)

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**Author:** [@Bergi\_M](https://community.cdata.com/u/Bergi_M)\
**Replies:** 0\
**Last updated:** [December 2, 2025, 2:58pm UTC](https://community.cdata.com/t/hresult-0xc0047043-exception-when-using-ssis-components/1245 "2025-12-02T14:58:20Z")

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While working with our SSIS components in Visual Studio, you may encounter an Exception from HRESULT: 0xC0047043 error: This is a known issue in Visual Studio SSIS project. It occurs because Visual Studio UI attemp…

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## [How to Utilise the Information Schema in Data Virtuality](https://community.cdata.com/t/how-to-utilise-the-information-schema-in-data-virtuality/1021)

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**Author:** [@Marijan](https://community.cdata.com/u/Marijan)\
**Replies:** 0\
**Last updated:** [February 13, 2025, 12:11pm UTC](https://community.cdata.com/t/how-to-utilise-the-information-schema-in-data-virtuality/1021 "2025-02-13T12:11:10Z")

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Introduction One of the often overlooked features of CData Virtuality is the fact that it contains a complete and ready to use metadata repository containing all of the tables, views, columns and data types for all of …

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## [Source CSV file attributes as columns](https://community.cdata.com/t/source-csv-file-attributes-as-columns/617)

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**Author:** [@DougN\_Nouria](https://community.cdata.com/u/DougN_Nouria)\
**Replies:** 3\
**Last updated:** [February 2, 2024, 5:22pm UTC](https://community.cdata.com/t/source-csv-file-attributes-as-columns/617 "2024-02-02T17:22:15Z")

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I have 3 different CSV files to load each week, and they always have the same filename. I set up a “Sync All” job to read these files and load them into my destination. However, I would like to pass the files’ creation…

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## [Reporting database on Cdata Sync](https://community.cdata.com/t/reporting-database-on-cdata-sync/586)

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**Author:** [@DougN\_Nouria](https://community.cdata.com/u/DougN_Nouria)\
**Replies:** 0\
**Last updated:** [December 28, 2023, 5:24pm UTC](https://community.cdata.com/t/reporting-database-on-cdata-sync/586 "2023-12-28T17:24:21Z")

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It would be super cool if the underlying metadata and job/task history (in the internal Derby database) were available to be queried. The simplest way to do this might be to replicate the internal database (using Sync!)…

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## [History of a Task within a Job](https://community.cdata.com/t/history-of-a-task-within-a-job/585)

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**Author:** [@DougN\_Nouria](https://community.cdata.com/u/DougN_Nouria)\
**Replies:** 0\
**Last updated:** [December 28, 2023, 5:18pm UTC](https://community.cdata.com/t/history-of-a-task-within-a-job/585 "2023-12-28T17:18:12Z")

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When viewing the details of a Task (task-details.rst page), I’d like to see a tab for History. That would show me the date times and, more importantly, the volumes, of that table that was loaded over the last N days.

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## [Connect Cloud Some Tables and Columns are missing and are not appearing](https://community.cdata.com/t/connect-cloud-some-tables-and-columns-are-missing-and-are-not-appearing/167)

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**Author:** [@Om\_D](https://community.cdata.com/u/Om_D)\
**Replies:** 1\
**Last updated:** [April 28, 2023, 5:52pm UTC](https://community.cdata.com/t/connect-cloud-some-tables-and-columns-are-missing-and-are-not-appearing/167 "2023-04-28T17:52:32Z")

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I am using Connect AI to pull some data but I am missing some Tables and Columns that exist in the data source. Where can I find them and what can I do to make sure that I am getting all of my data?

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## [Connect AI Missing Tables and Columns](https://community.cdata.com/t/connect-ai-missing-tables-and-columns/39)

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**Author:** [@Om\_D](https://community.cdata.com/u/Om_D)\
**Replies:** 1\
**Last updated:** [March 20, 2023, 2:44pm UTC](https://community.cdata.com/t/connect-ai-missing-tables-and-columns/39 "2023-03-20T14:44:09Z")

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I am trying to query my sources in CData Connect AI but they are running slow. They used to run instantly. What can I do to return to the speed the queries were running with?
