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/vsicurl/ is a file system handler that allows on-the-fly random reading of files available through HTTP/FTP web protocols, without prior download of the entire file. It requires GDAL to be built against libcurl.

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Partial downloads (requires the HTTP server to support random reading) are done with a 16 KB granularity by default. Starting with GDAL 2.3, the chunk size can be configured with the CPL_VSIL_CURL_CHUNK_SIZE configuration option, with a value in bytes. If the driver detects sequential reading it will progressively increase the chunk size up to 2 MB to improve download performance. Starting with GDAL 2.3, the GDAL_INGESTED_BYTES_AT_OPEN configuration option can be set to impose the number of bytes read in one GET call at file opening (can help performance to read Cloud optimized geotiff with a large header).

In addition, a global least-recently-used cache of 16 MB shared among all downloaded content is enabled by default, and content in it may be reused after a file handle has been closed and reopen, during the life-time of the process or until VSICurlClearCache() is called. Starting with GDAL 2.3, the size of this global LRU cache can be modified by setting the configuration option CPL_VSIL_CURL_CACHE_SIZE (in bytes).

/vsicurl_streaming/ is a file system handler that allows on-the-fly sequential reading of files streamed through HTTP/FTP web protocols, without prior download of the entire file. It requires GDAL to be built against libcurl.

Although this file handler is able seek to random offsets in the file, this will not be efficient. If you need efficient random access and that the server supports range downloading, you should use the /vsicurl/ file system handler instead.

/vsis3/ is a file system handler that allows on-the-fly random reading of (primarily non-public) files available in AWS S3 buckets, without prior download of the entire file. It requires GDAL to be built against libcurl.

/vsis3_streaming/ is a file system handler that allows on-the-fly sequential reading of (primarily non-public) files available in AWS S3 buckets, without prior download of the entire file. It requires GDAL to be built against libcurl.

/vsigs/ is a file system handler that allows on-the-fly random reading of (primarily non-public) files available in Google Cloud Storage buckets, without prior download of the entire file. It requires GDAL to be built against libcurl.

/vsigs_streaming/ is a file system handler that allows on-the-fly sequential reading of files (primarily non-public) files available in Google Cloud Storage buckets, without prior download of the entire file. It requires GDAL to be built against libcurl.

/vsiaz/ is a file system handler that allows on-the-fly random reading of (primarily non-public) files available in Microsoft Azure Blob containers, without prior download of the entire file. It requires GDAL to be built against libcurl.

/vsiaz_streaming/ is a file system handler that allows on-the-fly sequential reading of files (primarily non-public) files available in Microsoft Azure Blob containers, buckets, without prior download of the entire file. It requires GDAL to be built against libcurl.

/vsiadls/ is a file system handler that allows on-the-fly random reading of(primarily non-public) files available in Microsoft Azure Data Lake Storage filesystems, without prior download of the entire file.It requires GDAL to be built against libcurl.

/vsioss/ is a file system handler that allows on-the-fly random reading of (primarily non-public) files available in Alibaba Cloud Object Storage Service (OSS) buckets, without prior download of the entire file. It requires GDAL to be built against libcurl.

/vsioss_streaming/ is a file system handler that allows on-the-fly sequential reading of files (primarily non-public) files available in Alibaba Cloud Object Storage Service (OSS) buckets, without prior download of the entire file. It requires GDAL to be built against libcurl.

/vsiswift/ is a file system handler that allows on-the-fly random reading of (primarily non-public) files available in OpenStack Swift Object Storage (swift) buckets, without prior download of the entire file. It requires GDAL to be built against libcurl.

/vsiswift_streaming/ is a file system handler that allows on-the-fly sequential reading of files (primarily non-public) files available in OpenStack Swift Object Storage (swift) buckets, without prior download of the entire file. It requires GDAL to be built against libcurl.

I am trying to download a 2 files by creating the zip file on local-server.the file is downloaded in zip format but when i try to extract it.it gives error: End-of-central-directory signature not found. Either this file is not a zip file, or it constitutes one disk of a multi-part archive. In the latter case the central directory and zip file comment will be found on the last disk(s) of this archive.

One of the error could be that the file is not read as 'archive' format. check out ZipArchive not opening file - Error Code: 19. Open the downloaded file in text editor, if you have any html tags or debug statements at the starting, clear the buffer before reading the file.

This is the size of a ZIP header. Apparently there is no data in the downloaded ZIP file. So, can you verify that the files to be added into the ZIP file are, indeed, there (relative to the path of the download PHP script)?

Let's assume that you just want to customize the name of the zipped folder to be downloaded that is why there is a $name variable to prevent redundant file name. But you have to consider the URI where you run your script.

For example, you're using URI routing, and you load the script at -management/download-zipped-111. With your current script, the zipped folder will be stored at file-management folder. If it does not exist, you will mostly encounter the error you are experiencing right now.

Workaround:There are 2 options:1. download a new version of the update file (if exists)2. 2.1 download a copy of that file from the machine to your locale machine 2.2 rename it : > cp BrowserChallenges_20200722_072935.im BrowserChallenges__.im ## the date and time are for tracking and the have to be in a specific format DATE : YYYYMMDD, TIME: HHMMSS 2.3 upload the file and install it manually from the LiveUpdate screen.

This expression should be specific enough that it will not pick up files fromother datasets. It should not include a file extension, as the dataset may be ina different file format than what it was originally downloaded as. 041b061a72