partitioning

问题 My solution(months in german): PARTITION BY LIST ((to_char(GEBURTSDATUM, 'Month'))) ( PARTITION p1 VALUES('JANUAR'), PARTITION p2 VALUES('Februar'), PARTITION p3 VALUES('MÄRZ'), PARTITION p4 VALUES('APRIL'), PARTITION p5 VALUES('MAI'), PARTITION p6 VALUES('JUNI'), PARTITION p7 VALUES('JULI'), PARTITION p8 VALUES('AUGUST'), PARTITION p9 VALUES('SEPTEMBER'), PARTITION p10 VALUES('OKTOBER'), PARTITION p11 VALUES('NOVEMBER'), PARTITION p12 VALUES('DEZEMBER') ); This doesn't work because of the to

问题 I uploaded a virtual box image in vdi format to OpenStack. I added a flavor of 100 G size to the instance created using that .vdi image. But it still showing the 15 G size allocated in virtual box. I dont know how to partition the disk to use the size provided by the OpenStack flavor. # df -h is as follows Filesystem Size Used Avail Use% Mounted on /dev/vda1 15G 4,4G 9,3G 32% / none 4,0K 0 4,0K 0% /sys/fs/cgroup udev 2,0G 4,0K 2,0G 1% /dev tmpfs 396M 824K 395M 1% /run none 5,0M 0 5,0M 0% /run

问题 I have my data folder in the below structure with 2 years data(2015-2017). AppData/ContryName/year/month/Day/app1.json For eg: AppData/India/2016/07/01/geek.json AppData/India/2016/07/02/geek.json AppData/US/2016/07/01/geek.json Now I have created an external table with partition. PARTITIONED BY (Country String, Year String, Month String, day String) After this, I need to add the partition in alter table statement. ALTER TABLE mytable ADD PARTITION (country='India', year='2016',month='01',

问题 An application sets the value of EventData.PartitionKey to a new Guid upon start-up. For each new deployment, the Partition Key will therefore change. I understand that Event Hubs leverage a hashing mechanism in order to route messages to specific Partitions. Does regenerating the Partition Key impede, or affect, this mechanism in any detrimental way? I notice from time to time that messages do not appear in the Event Hub (regardless of how much time has passed) after multiple deployments,

问题 I`m trying to write a code in C++ and using MPI. In my code, I want to read from a file. I just want the master processor reads the data and later on, I will scatter it to the others. The goal is reading a graph from a file and then scatter its adjacency matrix row-wise. The issue is when I want to open the file. If I generate a matrix it would scatter it nicely ( I used the code from here and changed it based on my need), so I don`t have any issues with scattering as I tested it several

问题 I am writing a cloud dataflow that reads messages from Pubsub and stores those into BigQuery. I want to use partitioned table (by date) and I am using Timestamp associated with message to determine which partition the message should go into. Below is my code: BigQueryIO.writeTableRows() .to(new SerializableFunction<ValueInSingleWindow<TableRow>, TableDestination>() { private static final long serialVersionUID = 1L; @Override public TableDestination apply(ValueInSingleWindow<TableRow> value) {

问题 I am wondering if the following is possible. I have data in Hive partitioned by date and logger, but I also have data that does not fall under a particular logger. e.g. date=2012-01-01/logger=1/part000 date=2012-01-01/logger=1/part001 date=2012-01-01/logger=2/part000 date=2012-01-01/logger=2/part001 date=2012-01-01/part000 I created my table with: create table mytable ( ... ) partitioned by (date string, logger int) .... ; and added partitions: alter table mytable add partition (date='2012-01

问题 Suppose I have a table like this: id | part | value ----+-------+------- 1 | 0 | 8 2 | 0 | 3 3 | 0 | 4 4 | 1 | 6 5 | 0 | 13 6 | 0 | 4 7 | 1 | 2 8 | 0 | 11 9 | 0 | 15 10 | 0 | 3 11 | 0 | 2 I would like to enumerate groups between rows that have part atribute 1. So I would like to get this: id | part | value | number ----+-------+----------------- 1 | 0 | 8 | 1 2 | 0 | 3 | 1 3 | 0 | 4 | 1 4 | 1 | 6 | 0 5 | 0 | 13 | 2 6 | 0 | 4 | 2 7 | 1 | 2 | 0 8 | 0 | 11 | 3 9 | 0 | 15 | 3 10 | 0 | 3 | 3 11 |

问题 Given a 2D space limited by a (white) rectangle and a set of (black) rectangles occupying that space I am looking for a way to somehow index the empty (white) space. For that purpose I would like to create a set of (white) rectangles such that for any given point in the space (point not belonging to any "black" rectangle) maximal empty rectangle exists in that resulting set of white rectangles. Thanks 回答1: Are you in a grid (i.e. an image) or in a continuous 2D space ? My answer is for the

问题 I have an usecase where a set of records in a collection need to be deleted after a specified interval of time. For ex: Records older than 10hours be deleted every 10th hour. We have tried deletion based on id but found it to be slow. Is there a way to partition the records in a collection and drop a partition as and when required in Mongo 回答1: MongoDB does not currently support partitions, there is a JIRA ticket to add this as a feature (SERVER-2097). One solution is to leverage multiple,