partitioning

问题 I'm trying to use PowerShell and WMI to remotely extend a C drive partition on Windows VMs running on VMware. These VM do not have WinRM enabled and that's not an option. What I'm trying to do is an equivalent of remotely managing an Active Directory computer object in an AD console to extend a partition, but in PowerShell. I'v already managed to pull partition informations through Win32 WMI objects but not yet the extension part. Does anyone know how to max out a C partition on a drive like

问题 I want to find a combinatorial formula that given a certain number of integers, I can find the number of all possible groupings of these integers (such that all values belong to a single group) Say I have 3 integers, 1, 2, 3 There would be 5 groupings: 1 2 3 1|2|3| 1 2|3 1|2 3 2|1 3 I have calculated these computationally for N = 3 to 11, but I am trying to theoretically assertain. These values are: (I believe they are correct) num_integers num_groupings 3 5 4 15 5 52 6 203 7 877 8 4140 9

问题 The Problem I need an algorithm that does this: Find all the unique ways to partition a given sum across 'buckets' not caring about order I hope I was clear reasonably coherent in expressing myself. Example For the sum 5 and 3 buckets, what the algorithm should return is: [5, 0, 0] [4, 1, 0] [3, 2, 0] [3, 1, 1] [2, 2, 1] Disclaimer I'm sorry if this question might be a dupe, but I don't know exactly what these sort of problems are called. Still, I searched on Google and SO using all wordings

问题 We have large amount of data partitioned on year value using range partition in oracle. We have used range partition but each partition contains data only for one year. When we write a query targeting a specific year, oracle fetches the information from that partition but still checks if the year is what we have specified. Since this year column is not part of the index it fetches the year from table and compares it. We have seen that any time the query goes to fetch table data it is getting

问题 I have some grouped data with one row per item. I want to do a stratified sampling by group, with two restrictions: (1) a certain total sample size; (2) samples should be partitioned as evenly as possible among groups (i.e. minimal sd of the group sample sizes). Ideally, we pick the same (fixed) number of items from each group, which is no problem when the group size is >= the desired size for all groups. However, sometimes group size is less than size . The total number of items is always

问题 I'm interested to find out if there is a performance benefit to partitioning a numeric column that is often the target of a query. Currently I have a materialized view that contains ~50 million records. When using a regular b-tree index and searching by this numeric column I get a cost of 7 and query results in about 0.8 seconds (with non-primed cache). After adding a global hash partition (with 64 partitions) for that column I get a cost of 6 and query results in about 0.2 seconds (again

问题 I have posted a bit here related to a project I have been trying to work on and I keep hitting design problems and have to design from scratch. So I'm wondering if I can post what I'm trying to do and someone can help me understand how I can get the result I want. BackGround: I'm new to programming and trying to learn. So I took a project that interested me which involves basically taking list and breaking down each number using only numbers from the list. I know I could easily brute force

问题 My DB design includes multiple MYISAM tables with measurements collected online, Each row record contains auto-incremented id, some data and an integer representing unixtime. I am designing an aging mechanism, and i am interested to use MySQL partitioning to partition each such table based on unixtime dynamically. Say that i am interested that each partition will represent single month of data, last partition should represent 2 months, if records arrive for the next not represented month, the

问题 Is there any relationship between the number of elements an RDD contained and its ideal number of partitions ? I have a RDD that has thousand of partitions (because I load it from a source file composed by multiple small files, that's a constraint I can't fix so I have to deal with it). I would like to repartition it (or use the coalesce method). But I don't know in advance the exact number of events the RDD will contain. So I would like to do it in an automated way. Something that will look

问题 I generate KML files which may have 50,000 placemarks or more, arranged in Folders based on a domain-specific grouping. The KML file uses custom images which are packed in to a KMZ file. I'm looking to breakup the single KML file in to multiple files, partitioned based on the grouping, so rather than having 1 large document with folders, i'd have a root/index KML file with folders linking to the smaller KML files. Is this possible though? I think that a KMZ file can contain only 1 KML file,