# Fast reading **URL:** \ **Category:** KNIME Analytics Platform\ **Created:** [December 1, 2021, 4:37pm UTC](https://forum.knime.com/t/fast-reading/37740 "2021-12-01T16:37:34Z")\ **Posts on this page:** 1\ **Showing post:** 4
**Author:** ![mlauber71](https://forum-cdn.knime.com/user_avatar/forum.knime.com/mlauber71/32/73590_2.png) [@mlauber71](https://forum.knime.com/u/mlauber71)\ **Post date:** [December 1, 2021, 11:33pm UTC](https://forum.knime.com/t/fast-reading/37740/4 "2021-12-01T23:33:17Z")
@jorgemartcaam you could try and first download the files (maybe one by one) and then import them > [@"CSV Writer" node cannot write the word COM?](https://forum.knime.com/t/csv-writer-node-cannot-write-the-word-com/20623/2): > > Not exactly sure what happened but again I have this modified solution to offer that would first download the files and later import them all into CSV and even collect them in a KNIME table in the end. If one download fails you could resume the download, that might be faster and more robust than to use the file reader directly. In the hub, there are all files contained from your example. As a side note, you might want to think about using the [relative KNIME paths](https://forum.knime.com/t/extract-rows-data-in-multiple-text-files-and-name-files-basis-a-row-cell-value/12556/8) like: knime://knim… Also there have been other debates about Excel import with big files. Useb the newest KNIME version or try R. > [@How to fix "ZIP entry size is too large or invalid" in Excel Reader](https://forum.knime.com/t/how-to-fix-zip-entry-size-is-too-large-or-invalid-in-excel-reader/37630/4): > > @chunhlim you might want to upgrade to the latest version. And you could check these thread which deals with a similar problem: [https://forum.knime.com/t/excel-reader-node-requested-array-size-exceeds-vm-limit/36908/6?u=mlauber71](https://forum.knime.com/t/excel-reader-node-requested-array-size-exceeds-vm-limit/36908/6) I assume there is no chance to share the files in question? --- _[View the full topic](https://forum.knime.com/t/fast-reading/37740)._