Installation is a snap as you can just grab the binary you need for mac, windows or linux and put it in your path and you’ve got another great grep-like tool.Perl is famous for processing text files via regular expressions. Imitation is clearly the highest form of flattery. Like ack and ag it also ignores code repo files you don’t want to search through. This solution is coded in Go and makes fantastic use of Go’s built in concurrency support to obtain its solid performance. I discovered this when Dave Cheney gave a shoutout to Monochromegane’s The Platinum Searcher on episode 16 of the stellar Go Time podcast. We are working towards our upcoming ActiveGo™ distribution and I would be remiss if I didn’t mention another fantastic grep-like tool built out of Go that is performance equivalent to ag. Lastly, we’ve been doing a lot of work with the Go language here at ActiveState. hgignore files and you can even specify your own. It also ignores files you normally don’t want to be searching in your codebase and looks for. Now, instead of “ack”, we can just type the clever “ag”, which is the periodic table chemical symbol for silver: This fantastic tool claims to be an order of magnitude faster than ack due to its implementation in C and use of pthreads to provide concurrency among many other improvements. This brings us to Geoff Greer’s feature-rich, ack-inspired, The Silver Searcher (great name!). However, ack has a performance weakness…it still isn’t concurrent out-of-the-box (but could be used in a similar way like in the above grep example). Typical usage:Īck, why didn’t you specify the directory to search from? Well in order to be maximally productive, it defaults to recursive directory search from the current working directory! This is perfect when searching your code trees. It also has the advantage of using Perl’s regular expressions which have always been top notch amongst languages. In the Perl world we have Andy Lester’s excellent ack! This works on any Perl (or ActivePerl of course!) A great benefit for developers, it ignores your coredump files, binaries, backup and code repository files. In fact, why don’t we have a tool that is both fast, concurrently capable, and tailored to the needs of developers? In fact, we do! This gets the job done, but surely we can more productive than this for our everyday development. I say “potential” as there are many factors involved including your search tree, hardware, IO bottlenecks, etc. Now you can break up a grep in a variety of ways in order to inject some potential concurrency upside for your search. Grep uses a single thread to do its work, and performance clearly suffers over large filesets even with our modern powerful systems. A good example is the source code for the linux kernel which at version 1.0 in 1994 consisted of 170,000 lines of code, and as of version 4.8 is now over 22M lines of code.Īs you can well imagine, grep on most systems is fairly dated when taking modern multicore processors into account. However, as time and technology has advanced, the sheer size and number of files has grown at a rapid rate. Grep has been the defacto standard for programmers everywhere to find stuff in files. Originally invented by computer science luminary Ken Thompson in November 1974, it was originally developed for the Unix operating system, but is available today, in some form or another, on almost all systems. Grep is the ubiquitous command line tool for finding lines in files that match a pattern.
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Leslie Jenea Chance makes the admission in a new episode of NBC Dateline, titled Point Blank, which is due to air at 9pm on Friday, November 20. Led by reporter Andrea Canning, the episode revisits the murder of 45-year-old Todd Chance, who was found dead with two bullet wounds to the chest in a rural almond orchard in Bakersfield, California, on August 25, 2013.Ĭhance, 53, who was once the principal of Fairview Elementary, was convicted of first-degree murder in the case in January this year and later sentenced to 50 years to life in prison.ĭuring the trial, prosecutors said she decided to kill Todd after unearthing a steamy texting tryst between him and his ex-fiancee.Ĭhance allegedly planned the murder out over a series of months beforehand, using information she had learned from a Crime Scene Investigation (CSI) convention she'd recently attended in Las Vegas to help cover her tracks. While the evidence mounted against her was substantial, Chance revealed to Dateline that she didn't believe for a moment that jurors would find her guilty. 'I was very confident,' Chance tells Canning in a clip obtained by, which was filmed at the Kern County Correctional Facility back in February. Actually when I would lay in bed at night, I thought, 'My goodness, they're not only gonna stand up and say, 'She's not guilty,' they're gonna say, 'She's innocent and this was a ridiculous, you know, case,' Chance said.Ĭhance (shown left at trial) said she thought she 'heard the verdict wrong' when she was convicted of Todd's murder in January (Todd Chance shown right) 'I expected to go back the next day and it be done. Todd Chance's body was found in on August 25, 2013. He'd last been seen alive hours earlier, leaving his home with another woman between 7:30am and 8:00am, before they both got into his black 2011 Ford Mustang. Later that day, police found Todd's car abandoned at an intersection, with a revolver on the floorboard. The gun was later found to belong to Todd and Chance and was also confirmed to be the murder weapon.Ī grainy surveillance video also showed a woman leaving the area at the time the car car was abandoned, which police identified to be Chance. The figure, who was wearing a hat and sunglasses, was walking down the street and into a Walmart store on a circuitous route prosecutors said Chance took to get home on the morning she murdered her husband.Īlong the route, prosecutors said Chance disguised herself by changing her clothes. She also threw away a number of items and used a payphone to hail a cab. Prosecutors said her motives for the killing were money and infidelity. The only way to know for certain is to test and measure. It is harder to see if disk I/O is the limiting factor, and depending on the disk system it may be faster or slower to parallelize. when running top), then RAM is a limiting factor.ĬPU is also easy to measure: If the grep takes >90% CPU in top, then the CPU is a limiting factor, and parallelization will speed this up. RAM is easy to measure: If the grep process takes up most of your free memory (e.g. There are 3 limiting factors: CPU, RAM, and disk I/O. grep filters out the large images, and parallel finally uses wget to fetch the images. parallel then calls wget to get each collection, which is passed to jq to extract the URLs of all images. jq is then used to extract the URLs of the collections. Wget is used to get the JSON for the search query. One of the pictures in each of these collection is large. The search query returns JSON containing URLs to JSON containing collections of pictures. Search NASA using their API to get JSON for images related to 'apollo 11' and has 'moon landing' in the description. jpg EXAMPLE: Download Apollo-11 images from NASA using jq cgi service = "SERVICE=WMTS&REQUEST=GetTile&VERSION=1.0.0" layer = "LAYER=BlueMarble_ShadedRelief_Bathymetry" set = "STYLE=&TILEMATRIXSET=EPSG4326_500m&TILEMATRIX=5" tile = "TILEROW=. Saving output to shell variables (advanced)īase = https: //m ap1a.EXAMPLE: Protecting pod2html from itself.EXAMPLE: GNU Parallel as queue system/batch manager.EXAMPLE: Start editor with file names from stdin (standard input).EXAMPLE: Working as mutex and counting semaphore.EXAMPLE: Running more than 250 jobs workaround.EXAMPLE: Processing a big file using more CPUs.EXAMPLE: Call program with interleaved FASTQ records.EXAMPLE: Call program with FASTA sequence.EXAMPLE: Use multiple inputs in one command.EXAMPLE: Using remote computers behind NAT wall. EXAMPLE: Running 'sudo' on remote computers.EXAMPLE: Running the same command on remote computers.EXAMPLE: Distributing work to local and remote computers.EXAMPLE: Grepping n lines for m regular expressions.EXAMPLE: Keep order of output same as order of input.EXAMPLE: Count the differences between all files in a dir.EXAMPLE: Finding the lowest difference between files.EXAMPLE: Rewriting a for-loop and a while-read-loop.EXAMPLE: Process files from a tar file while unpacking.EXAMPLE: Breadth first parallel web crawler/mirrorer.EXAMPLE: Digital clock with "blinking" :.EXAMPLE: Prepend last modified date (ISO8601) to file name.EXAMPLE: Download video playlist in parallel.EXAMPLE: Download Apollo-11 images from NASA using jq.EXAMPLE: Download 24 images for each of the past 30 days.EXAMPLE: Removing strings from the argument.EXAMPLE: Removing file extension when processing files.EXAMPLE: Continously show the latest line of output.EXAMPLE: Composed command with multiple input sources.EXAMPLE: Composed command with perl replacement string.EXAMPLE: Compute intensive jobs and substitution.EXAMPLE: Reading arguments from command line.DIFFERENCES BETWEEN GNU Parallel AND ALTERNATIVES.COMPLETE RUNNING JOBS BUT DO NOT START NEW JOBS. |
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