partitioning

问题 Hi I have a partitioned table and when I am trying to update taking few selected partition in a loop with passing partition name dynamically, it s not working. for i in 1..partition_tbl.count Loop UPDATE cdr_data PARTITION(partition_tbl(i)) cdt SET A='B' WHERE cdt.ab='c' End Loop; The partition_tbl object has all the partition in which I want to perform this update. Please suggest me how to proceed here. Thanks in advance 回答1: What is the problem that you are trying to solve? It doesn't make

问题 We have some full text searches running on our SQL Server 2012 Development (Enterprise) database. We noticed that partition schemes and functions are being (periodically) added to the DB. I can only assume that the partitions are for FTS as they have the following form: Scheme: CREATE PARTITION SCHEME [ifts_comp_fragment_data_space_46093FC3] AS PARTITION [ifts_comp_fragment_partition_function_46093FC3] TO ([FTS], [FTS], [FTS]) Function: CREATE PARTITION FUNCTION [ifts_comp_fragment_partition

问题 Situation I have a database in PostgreSQL 9.5 used to store object locations by time. I have a main table named "position" with the columns (only relevant): position_id position_timestamp object_id It is partitioned into 100 child tables on object_id with the condition: CREATE TABLE position_object_id_00 ( CHECK object_id%100 = 0 ) INHERITS ( position ); And so on for the others children. I partitioned with a modulus relation to distribute equally the objects. Each child is indexed on

问题 I want to know that how to get utc datetime from unix_timestamp in mysql. But, I should not use CONVERT_TZ. (because Could not use timezone function in partitioning.) The error occurs in the SQL schema... CREATE TABLE `table` ( `idx` BIGINT(20) NOT NULL, etc... ) ENGINE=InnoDB DEFAULT CHARSET=utf8 PARTITION BY RANGE( YEAR(CONVERT_TZ(from_unixtime(`idx` >> 24), @@session.time_zone, '+00:00')) ) SUBPARTITION BY HASH ( MONTH(CONVERT_TZ(from_unixtime(`idx` >> 24), @@session.time_zone, '+00:00'))

问题 Postgres 9.1 - I have a schema that has tables "partitioned" by month (a new table is created each month, all columns the same). It is not set up as normal partitioning with a "master" table. I am currently writing a fairly large query, that I will have to run a few times each month. Schema: augmented_events tables: p201301 (January 2013) p201302 (Feb 2013) p201303 (March 2013) ... p201312 (December 2013) p201401 (January 2014) Right now I have to write my (simplified) query as: select * from

问题 I've been analyzing the best method to improve the performance of our SOLR index and will likely shard the current index to allow searches to become distributed. However given that our index is over 400GB and contains about 700MM documents, reindexing the data seems burdensome. I've been toying with the idea of duplicating the indexes and deleting documents as a means to more efficiently create the sharded environment. Unfortunally it seems that modulus isn't available to query against the

问题 Closed. This question is off-topic. It is not currently accepting answers. Want to improve this question? Update the question so it's on-topic for Stack Overflow. Closed 12 months ago . I'm trying to make a Diskpart script that takes in a value of a drive letter, and then deletes all the partitions of the corresponding device of that drive letter. The script that I currently have is select Disk 1 select partition 0 delete partition select partition 1 delete partition but the obvious problem

问题 I use Spark 2. Actually I am not the one executing the queries so I cannot include query plans. I have been asked this question by the data science team. We are having hive table partitioned into 2000 partitions and stored in parquet format. When this respective table is used in spark, there are exactly 2000 tasks that are executed among the executors. But we have a block size of 256 MB and we are expecting the (total size/256) number of partitions which will be much lesser than 2000 for sure

问题 I have a few Samza jobs running all reading messages off of a Kafka topic and writing a new message to a new topic. To send the new messages, I am using Samza's built in OutgoingMessageEnvelope. Also using a MessageCollector to send out the new message. It looks something like this: collector.send(new OutgoingMessageEnvelope(SystemStream, newMessage)) Is there a way I can use this to add partitions to the Kafka topic? Such as partitioning on a user ID or something like that. Or if there is a

问题 PROCEDURE purge_partitions ( p_owner IN VARCHAR2 ,p_name IN VARCHAR2 ,p_retention_period IN NUMBER ) IS BEGIN FOR partition_rec IN (SELECT partition_name ,high_value FROM dba_tab_partitions WHERE table_owner = p_owner AND table_name = p_name) LOOP IF SYSDATE >= add_months(to_date(substr(partition_rec.high_value ,12 ,19) ,'YYYY-MM-DD HH24:MI:SS') ,p_retention_period) THEN execute_immediate('ALTER TABLE ' || p_owner || '.' || p_name || ' DROP PARTITION ' || partition_rec.partition_name) END IF;