mapreduce simplified data processing on large clusters
mapreduce simplified data processing on large clusters
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When processing a large amount of data, Xiao Dingdong encountered a memory leak.
Recently, we have been testing the effect of applying the word segmentation to the weblucene search engine.
We use an XML file of about 1.2 GB for the source data.
The index files after the creation are compared as follows:
Source File: 1
With the advancement of information, the system's dependence has become more and more strong, so a variety of data accumulation, data development rate is not high, so the data is not accurate and efficient use, this time we need to export data to Excel and then through the manual p
WebService processes large data volumes
The following error occurs when processing large data volumes through WebService:
Soap fault: An exception occurs when running the specified extension in the configuration file. ---> Exceeds the maximum request length.Solution:
Because
trigger.29. Try to avoid large transaction operation and improve the system concurrency ability.30. Try to avoid the return of large data to the client, if the amount of data is too large, should consider whether the corresponding demand is reasonable.Besides, friends, if y
PHP uses PDO to read a large amount of data processing from mysql.
Preface
This article describes how PHP uses PDO to read a large amount of data from mysql and share the content for your reference. I will not talk about it here. Let's take a look at the details.
Environment
Tags: Excel SQL bulk Data generation SQL statement databasewhen doing the system or project, often encounter such requirements: the user sent us some data, asked us to import this data into the number ofAccording to the library, for a small amount of data, with the most primitive method can be solved, directly in the S
{static unsigned char bt_rxdata_merge_status=bt_rxdata_merge_defaul_status;//means an IAP packet is sent by a bt_rxdata if (bt_ Rxdata_merge_status==bt_rxdata_merge_defaul_status 0x55==bt_rxdata->msgdata[2]) {//detect the length of the IAP packet First// IAP packet: Length field data contains 1 or 3 bytes, depending on the length of the payload//one-byte domain can behave in a single byte 0x02 to 0xFC (2 to 252) load length//Three bytes field
A big Data external sort (memory cannot load all sort elements), remove duplicate elements, quickly find random deleted elements of the bitmap small algorithm, the core idea is to index a number as subscript (index) a bit to indicate whether a number exists , The time complexity of sorting is O (N), the complexity of additional space required O (N/8), an example of an algorithm that supports the entire int range (positive and negative) is as follows:C
to this way:CREATE TABLE #t (...)13. It is a good choice to use exists instead of in.Select num from a where num in (select num from B)Replace with the following statement:Select num from a where exists (select 1 from b where num=a.num)14. Not all indexes are valid for queries, SQL is optimized for queries based on table data, and SQL queries may not take advantage of indexes when there is a large amount o
the ID to the existing record. )、、Delete EnquiryQuerying a single record by IDQuerying all libraries, documents for all tablesFinds a document with a field equal to a value in the specified library specified tablemore detailed command reference: https://www.elastic.co/guide/en/elasticsearch/reference/current/index.htmlthird, Chinese participleChinese word-breaker using IK, the default is to split each character into a word, the effect is not goodThe code is as follows:default Standard participl
JDBC uses batch processing to handle large amounts of data
in the JDBC operation, if we need to insert or delete a large amount of data at once, then we can use batch processing. Note here that you need to set the manual commit to
Tags: default art processing actions large view characters weight start databaseBecause when you insert, UPDATE, or delete a large amount of data, there are times when the transaction log is full, so resolve step 1. Connect to the current database to Uppdb2. View the database configuration file for uppdbThis command al
Just after the Android project ahead, the project summary article has not finished, the company needs to study the large data processing application platform, the task reaches our department, in view of the department physical machine only one, and the virtual machine starts too slow reason, oneself do-it-yourself in Docker set up three three node
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