Scp Download Multiple Files Wildcard
Annalisa Vanzanten
The disadvantage of DirectoryInfo.GetFiles() is that it returns a list of files - which 99.9% of the time is great. The disadvantage is if the folder contains tens of thousands of files (which is rare) then it becomes very slow and enumerating through the matching files is much faster.
You may write: vim -p myfile* and vim will open all the matches for myfile* in the current directory into multiple tabs. Then, you can edit all files one by one. Navigate using gt for going to the next tab and gT for going to the previous tab. For saving and quiting all the files in a single go, just write :wqa inside vim.
I was facing a similar problem. I had a file named "myfile*" inside multiple subdirectories of my current directory. I wanted to edit a small change in all of them without getting to open them one by one. So, in the command line, I wrote this :
This way, find runs vim for each file. As soon as I quit an instance of vim, find automatically runs another with the next file until all of them have been done. Although, I agree that it would have been better if all the files could have been opened as tabs.
I have a wildcard input set up to import a specific sheet from 10 .xlsm files with what I thought were identical schema, but I am getting the error message that they have different schema than the 1st file and will be skipped.
I have a workflow to do this for multiple sheets with different schemas, I'm sure you could adjust it a bit to have multiple files. Essentially it's just loading in the files through an iterative macro rather than just the dynamic input tool.
the * character is indeed passed to tar. The problem, however, is that tar only supports wildcard matching on the names of members of an archive. So, while you can use wildcards when extracting or listing members from an archive, you cannot use wildcards when you are creating an archive.
The accepted answer assumes the files are taken from a single directory. If you use multiple -C options, then you need a more general approach.The following command has the shell expand the file names, which are then passed to tar.
I would like to select all files containing certain keywords in Fusion, Wrangle it to get desired output and load in Bigquery. I have tried these wildcard recipe's, but no success( , -data-cloud-storage?_ga=2.29954751.-1697255675.165329... and gs://decompressautomated/dcm_account381803_click_*\.csv).
Just to play it back ... you have a GCS bucket that contains files. You want to use GCP Data Fusion to read the files and load them into BigQuery. However, you don't want to select ALL the files ... but instead only want to select a subset of that based on the file names? What have you tried so far?
works fine. Looking at the source tail.c shows that tail starts by parsing obsolete options, then parse the rest (i.e. options not processed yet), regular options. However, parse_obsolete_option() expects an "obsolete" usage, with only one file as argument.
So when providing more files, the function returns immediately, and let the regular parser to choke on -2 (expecting -n 2).
Here's the reasoning: I have multiple vhosts and I split them up by the user that "owns" those vhosts. Since the log files are world-readable, I want to bind-mount a folder into the user home directory, but limit it to the log files that the user "owns", which is easiest achieved by separating the logs into folders (and bind-mounting requires that scheme anyway). So I'm looking for a solution to rotate both the log files under /var/log/httpd as well as all log files under subdirectories of that directory - without having to list each and every subdirectory by name.
In general the man page gives no clue whether multiple entries are at all possible for wildcard rules or only for full paths. I'm using logrotate version 3.7.8-6 which comes with Debian "Squeeze", but I reckon this is not necessarily specific to a distro or program version.
There is no option to use multiple wildcards , however , you can use Filter activity to check for the availibility of multiple file formats using expressions like @or(contains(item().name,'.json'),contains(item().name,'.txt'),contains(item().name,'.xml')) as per your requirement
Hey,
Based on my understanding you cannot use multiple wildcard characters in copy activity.
You might have to create 3 separate copy activities or iterate over the wild card characters in for each.
Thanks for looking into the issue @Nandan Hegde . You correctly mentioned that we can't use multiple wildcards within copy activity. I have shared the workaround below to use filter activity to filter out the required fileformats. Thankyou .
Later on I needed to source the setup files inside this directory so that it can overlay on the already set bash setup files for ROS. My question is, since I will be having several such projects in the same location, can I use wildcard to source the setup.bash files from my work folders?
To process multiple files, you can use the find command. source, however, is a shell builtin, i.e., not a command corresponding with an executable in your search path. Using the -exec option or xargs therefore will not work because these constructs only recognize executable files. Following construct, however, can work (with thanks to steeldriver).
Also note that '*' is not native to tar, but depends on shell expansion (in my experience...), so if you want to match only certain files in a directory on the container I include 'bash' in the call and cd to the directory first:
Starting with version 3.10, syslog-ng can collect messages from multiple text files. You do not have to specify file names one by one, just use a wildcard to select which files to read. This is especially useful when you do not know the file names by the time syslog-ng is started. This is often the case with web servers with multiple virtual hosts. From this blog you can learn how to get started using the wildcard-file() source.
The no-parse flag is necessary in this example, because by default syslog-ng parses messages using the syslog parser, but Apache HTTPD uses its own format for logging. For a complete list of wildcard-file() options check the documentation at -ng.com/technical-documents/doc/syslog-ng-open-source-edition/3.16/administration-guide.
Logging as a service (LaaS) providers often recommend their agents to be installed next to syslog(-ng) just to cover this situation. Installing additional software is not necessary any more to be able to forward messages from a directory of log files. Also, using LaaS providers from syslog-ng was never easier thanks to the syslog-ng configuration library (SCL), which hides away the complexity of setting up these destinations.
I agree with Steve (who has a very interesting post on mapping tables, by the way). The mapping load has some limitations the "normal" load does not. One of them is that it doesn't allow optimized loads and another one is that it doesn't allow either loading from multiple files using a wildcard, or joins, or so.
If data changes in your input files or tables after you begin working with your flow, you can refresh the Input step to bring in the new data or you can easily change and update individual input step connections without breaking your flow.
When working with multiple files or database tables from a single data source, you can apply filters to search for files or use a wildcard search to find tables and then union the data to include all of the file or table data in the Input step. To union files, the files must be in the same directory or sub-directory.
Packaged flow files (.tflx) won't automatically pick up new files because the files are already packaged with the flow. To include new files for packaged flows, open the flow file (.tfl) in Tableau Prep Builder to pick up the new files, then repackage the flow to include the new file data.
Matching Pattern (xxx*): Enter a wildcard search pattern to find files that have those characters in the file name. For example, if you enter order* all files that include "order" in the file name are returned. Leave this field blank to include all of the files in the specified directory.
Starting in Tableau Prep Builder version 2022.2.1 and later, the filtering options when searching for files to union have changed. While you still specify a directory and sub-directory to search in, you can now set multiple filters to perform a more granular search.
These filtering options apply to Text, Microsoft Excel, and Statistical file types. You can select multiple filters. Each filter is applied separately, in the order that you select them, top to bottom. Filters can't currently be moved around once added, but you can delete and add filters as needed.
The example below shows an input union using a matching pattern. The plus sign on the file icon on the Orders_Central Input step in the Flow pane indicates that this step includes an input union. The files in the union are listed under Included files.
I read a post saying "Using wildcard monitor statements over deep file systems has a significant performance impact, so if this can be avoided it would be of benefit."
I'd like to better understand what that exactly means? What kind of "performance impact" it is, cpu, memory, disk, IO?
When I put the wildcard at the second level of sub-folder, monitor this whole folder tree in one stanza, it shows huge memory consumption percentage, and the log server closes to freezing.
When I specify every individual log file in its own stanza without using wildcard, everything works well without any performance issue.
The issue is, the second level of sub-folder names are dynamic, we have to use an ad-hoc script to manually build configuration file for all directories/files every day. We'd really like a better solution to avoid this daily manual intervention.
Monitoring a directly with 8 subdir level and 460 files is not DEEP, but if there are too many subdirectories in those 8 levels and because your wildcard is create in such a way that Splunk have to traverse through all those huge file system, then you would see high CPU usage on that box.
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