database-partitioning

How to Partitioning a table using a LIKE criteria in Mysql

被刻印的时光 ゝ 提交于 2019-12-08 11:28:05
问题 I've a large table to partition by value of a field of varchar(200) type. I have already read this question but because the size of the field I cannot use this solution. My question is: Can I use a Like criteria as LIKE 'b%' or LIKE 'o%' and so on? If not, How can I solve this? Thanks in advance, Antonio 回答1: You'd better specify the range as less than ('c') It is short and readable. 回答2: It seems that partitioning on varchar is allowed only if partitioning is by key (no duplicate values and

Encode PartitionKey into Document Id?

十年热恋 提交于 2019-12-08 10:56:31
问题 I have set the partition key of one of my Cosmos DBs to /partition . For example: We have a Chat document that contains a list of Subscribers , then we have ChatMessages that contain a text, a reference to the author and some other properties. Both documents have a partition property that contains the type 'chat' and the chats id. Chat example: { "id" : "955f3eca-d28d-4f83-976a-f5ff26d0cf2c", "name" : "SO questions", "isChat" : true, "partition" : "chat_955f3eca-d28d-4f83-976a-f5ff26d0cf2c",

Teradata: How to add range partition to non empty table?

与世无争的帅哥 提交于 2019-12-08 10:19:15
问题 I have such table: CREATE SET TABLE ONLINE_BANKING.TRANSACTIONS ,NO FALLBACK , NO BEFORE JOURNAL, NO AFTER JOURNAL, CHECKSUM = DEFAULT, DEFAULT MERGEBLOCKRATIO ( transaction_id INTEGER NOT NULL, date_of_transaction DATE FORMAT 'YYYYMMDD' NOT NULL, amount_of_transaction DECIMAL(38,2) NOT NULL, transaction_type_code BYTEINT NOT NULL DEFAULT 25 , UNIQUE PRIMARY INDEX ( transaction_id ); I would like to add partition to my filled with data table to date_of_transaction column. I tried this way:

Mysql partitioning and joins

☆樱花仙子☆ 提交于 2019-12-07 13:59:25
问题 Sorry if this is a stupid question but new to this so need some help to understand a couple of things. Im currently upgrading mysql to 5.1 so I can use partitions in mysql. My question is if I partition a table, would a partitioned table, including the pruning process, still work on a quering using a join or is partitioning optimal if your just quering the table that has the partitions? EDIT Here is an example query: SELECT event.*,site.* FROM event INNER JOIN site ON event.siteid = site.id

Control data locality in Impala by partitioning

浪子不回头ぞ 提交于 2019-12-06 06:31:41
问题 I would like to avoid Impala nodes unnecessarily requesting data from other nodes over the network in cases when the ideal data locality or layout is known at table creation time. This would be helpful with 'non-additive' operations where all records from a partition are needed at the same place (node) anyway (for ex. percentiles). Is it possible to tell Impala that all data in a partition should always be co-located on a single node for any HDFS replica? In Impala-SQL, I am not sure if the

DB2 Partitioning

折月煮酒 提交于 2019-12-04 19:38:12
I know how partitioning in DB2 works but I am unaware about where this partition values exactly get stored. After writing a create partition query, for example: CREATE TABLE orders(id INT, shipdate DATE, …) PARTITION BY RANGE(shipdate) ( STARTING '1/1/2006' ENDING '12/31/2006' EVERY 3 MONTHS ) after running the above query we know that partitions are created on order for every 3 month but when we run a select query the query engine refers this partitions. I am curious to know where this actually get stored, whether in the same table or DB2 has a different table where partition value for every

Partition pruning based on check constraint not working as expected

。_饼干妹妹 提交于 2019-12-04 16:39:14
Why is the table "events_201504" included in the query plan below? Based on my query and the check constraint on that table I would expect the query planner to be able to prune it entirely: database=# \d events_201504 Table "public.events_201504" Column | Type | Modifiers ---------------+-----------------------------+--------------------------------------------------------------- id | bigint | not null default nextval('events_id_seq'::regclass) created_at | timestamp without time zone | Indexes: "events_201504_pkey" PRIMARY KEY, btree (id) "events_201504_created_at" btree (created_at) Check

mySQL partitioning multi-file vs. one-file performance?

落爺英雄遲暮 提交于 2019-12-04 12:56:28
When partitioning a large table, I have a choice to set the flag -innodb_file_per_table to TRUE or FALSE. True will create many files (one per partition) and greatly increase my disk usage, but allows me to spread partitions on different volumes (which I do not plan to do). FALSE will keep the table as one big file. Assuming I keep all files on the same logical volume, can I expect any significant query performance difference between the two options? Or, more generally, are there any issues to consider when making the choice between the two options besides disk usage and management? Some stats

Control data locality in Impala by partitioning

那年仲夏 提交于 2019-12-04 12:53:58
I would like to avoid Impala nodes unnecessarily requesting data from other nodes over the network in cases when the ideal data locality or layout is known at table creation time. This would be helpful with 'non-additive' operations where all records from a partition are needed at the same place (node) anyway (for ex. percentiles). Is it possible to tell Impala that all data in a partition should always be co-located on a single node for any HDFS replica? In Impala-SQL, I am not sure if the "PARTITIONED BY" clause provide this feature. In my understanding, Impala chunks its partitions into

Oracle DB daily partitioning

我们两清 提交于 2019-12-04 12:53:23
问题 I have the following table CREATE TABLE "METRIC_VALUE_RAW" ( "SUBELEMENT_ID" INTEGER NOT NULL , "METRIC_METADATA_ID" INTEGER NOT NULL , "METRIC_VALUE_INT" INTEGER, "METRIC_VALUE_FLOAT" FLOAT(126), "TIME_STAMP" TIMESTAMP NOT NULL ) ; Every hour data will be loaded into the table using sql loader. I want to create partitions so that data for every day go into a partition. In table I want to store data for 30 days. So when it crosses 30 days, the oldest partition should get deleted. Can you