5results about How to "Save disk space" patented technology

The invention provides a seismic data compression method and device and a seismic data decompression method and device. The seismic data compression method comprises the steps that a main thread initializes resources; trying to calculate the fidelity of the seismic data channel before and after compression according to the compression digit of each seismic sampling point until the fidelity meets a preset fidelity threshold value; calculating the length of the compressed seismic data channel according to the compression digit of each seismic sampling point; by utilizing a synchronous concurrent bounded queue, operating a bounded queue control coordination calculation thread to convert the numerical value type of the seismic sampling point into a form with fewer digits according to a preset first rule so as to compress a data segment of the seismic data; and when one seismic channel is compressed, the corresponding calculation thread is blocked, waiting for other calculation threads to complete the compression of the remaining data channels, and placing the compressed seismic data in the compressed seismic data buffer area for the main thread to obtain. The seismic data compression rate is improved, the disk space in the seismic data processing process can be reduced, and hardware equipment is saved.

The present invention discloses a snapshot-based rapid synthetic backup and recovery method, the backup method comprising the following steps: step S1, creating a storage volume in a CDM storage machine; step S2, establishing a synthetic backup task, determining the storage volume and the target path of the synthetic backup, and mounting the storage volume to the target path, performing a full backup of data during the first backup, and after mounting the storage volume to the target path, backing up the data to be backed up of the working machine to the target path, and taking a snapshot of the storage volume after the backup is completed, recording the snapshot time to a list of recovery time points; step S3, performing an incremental backup of data during the second and subsequent backup cycles, mounting the storage volume to the target path, writing incremental or differential data to the target path, and taking a snapshot of the storage volume after the incremental backup is completed, and recording the snapshot time to a list of recovery time points.

The present invention discloses a storage and query method and device for monitoring data, and relates to the field of computer technology. A specific implementation of the storage method includes: encoding the monitoring data to be stored, and obtaining the encoded monitoring data to be stored; when the time dimension information of the monitoring data to be stored is at the second level, storing the encoded monitoring data to be stored in a cache and a database; when the time dimension information of the monitoring data to be stored is not at the second level, storing the encoded monitoring data to be stored in a database. This implementation method performs encoding processing on the monitoring data, which can significantly reduce the disk space for data storage, and stores the second-level monitoring data in the cache and the database respectively, which can meet the efficiency of different types of queries and ensure the query speed of recent data in the second-level monitoring data.

This invention discloses a method and system for time-series data persistence based on a data service platform, belonging to the field of time-series database technology. The technical problem this invention aims to solve is how to improve the query performance of total time-series data on a data service platform while simultaneously increasing file utilization. The technical solution adopted is as follows: The method involves writing the collected time-series data into memory, dividing it into multiple blocks of fixed size, and filling them with the data. When a block is full, the data is filed into the file system. Specifically, the following steps are taken: defining the file structure, including a data file (.data) and an index file (.idx); converting row-based data to column-based data; compressing by column, configuring the `compress` parameter to enable or disable compression; using different compression algorithms for each column based on its data type; and persisting the compressed data to the file system.

An embodiment of the present application provides a data lifecycle management method and device, the method comprising: when checking that the data fields and index attributes of a business table, an intermediate table, a local history table, and a history library history table are consistent and it is determined that there is no data in the local history table, obtaining the data to be migrated in the business table; migrating the data to be migrated in the business table to the local history table, and determining the corresponding history library history table according to the time field of the data to be migrated; migrating the data to be migrated in the local history table to the history library history table; the present application can effectively improve the efficiency and accuracy of data cleaning.