- #SNOWFLAKE MULTITOUCH SOFTWARE INSTALL#
- #SNOWFLAKE MULTITOUCH SOFTWARE ZIP FILE#
- #SNOWFLAKE MULTITOUCH SOFTWARE FULL#
Although most commonly used with touch screens on handheld devices, such as smartphones and tablets, multi-touch has been adapted for other surfaces as well, including touch pads and mice, whiteboards, tables and walls. Multi-touch, in a computing context, is an interface technology that enables input through pressure and gestures on multiple points on the surface of a device. Multi-touch is something typically associated with capacitive touchscreen displays rather than with more common resistive touchscreen displays. Apple's iPhone is famous for introducing multi-touch to the cell phone world by using it to allow pinching and stretching gestures on the screen to control zooming. Put_threads.Multi-touch is a method of input on a touchscreen that allows two or more fingers to be used on the screen at one time. Temp = pd.read_csv(filename, skiprows=skip, Temp = pd.read_csv(zipname, skiprows=skip, The split files are compressed into a gzip format, as Snowflake can natively decompress these files.ĭef chunk_file(skip, rows_to_read, filename,
txt formats are assumed, and the file is read and chunked appropriately. *based on my own testing and profiling, with a 2.1GB compressed/41GB uncompressed csv fileĭef _init_(self, thread_id, skip, rows_to_read,Ĭhunk_file(self.skip, self.rows_to_read, self.filename, Python’s internal threading.Thread class is overridden with our own variables:
#SNOWFLAKE MULTITOUCH SOFTWARE ZIP FILE#
zip file allows us to run multiple threads at the same time, reducing the file chunking time by 84%* over a non-threaded approach. zip format within Python, please let me know!Ĭreating a class and function to split up the. If you find a faster way to chunk files from a. I elected to do it programmatically, as I was constrained by my available access permissions and software. Splitting Your FileĪ note before discussing the splitting of files: this can also be done through command line (on Linux/MacOS) or through third-party software. The “ user” value in the snowflake_credentials.py file must match the account that you are logged into in your browser. Note: the authenticator=’externalbrowser’ argument is necessary for SSO authentication and will open a tab in your default browser to confirm that you are logged in. # define table checking and creation/replacing functions Print(‘Connection to Snowflake refused, trying again…’)Ĭonnection to Snowflake refused after 5 attempts.
#SNOWFLAKE MULTITOUCH SOFTWARE FULL#
The full code can be seen at the bottom of this walkthrough, or on GitHub.Įxcept as e: Next, define a SnowConnector class to connect to your Snowflake instance and access tables within your database. # Credential file: snowflake_credentials.py Import nnector # snowflake-connector-python=2.2.5 The credentials file is named snowflake_credentials.py, and the template can be found in the project Git folder.
#SNOWFLAKE MULTITOUCH SOFTWARE INSTALL#
Then install and import all the necessary libraries. zip files to a Snowflake table using Single Sign-On (SSO) authentication: Getting Startedįirst, make sure you are using Python version 3.6+. The RXA Data Enigneering team has developed a solution to handling the transfer of large. zip files, the recommended maximum file upload size for the Python/Snowflake connector is 100MB when using parallel processing, and there may be memory issues with trying to open the entire file locally (or on a server) to chunk it. zip files from a cloud drive or local machine into Snowflake can be tricky for more than one reason Snowflake does not natively handle the upload of. But getting 2.1GB compressed (41GB uncompressed). Snowflake is great for long term data storage and access. Python allows for fast processing of large datasets. Solution for uploading large datasets from Snowflake to Python
As a leader in Growth Marketing Technology, RXA ( RXA.IO) continues to develop solutions delivering on the expectation of performance optimization, accountability, and demonstrable financial benefits through SaaS or custom, data driven and channel agnostic Media Mix Modeling (MMM) analysis. The information available to measure marketing effectiveness and measure the impact of short- and long-term effect of marketing investment has greatly increased the size of datasets for statistical analysis and complicated connections between platforms. Working with SSO and Splitting Large Zip Files
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