hive big data

Differences between hadoop computing platform and hadoop Data WarehouseHttp://datasearch.ruc.edu.cn /~ Boliangfeng/blog /? Tag = % E6 % 95% B0 % E6 % 8d % AE % E4 % BB % 93% E5 % Ba % 93 Hive (III)-similarities and differences between hive and databasesHttp://www.tbdata.org/archives/551 Hadoop ecosystem solution-Data

:# Create Hive data table Pms.yhd_categ_prior_userhive-e " set Mapred.job.queue.name=pms; set mapred.job.name=[cis]yhd_categ_prior_user;--Hive DDL DROP TABLE IF EXISTS pms.yhd_categ_prior_user;create TABLE Pms.yhd_categ_prior_user (category_id bigint, category_name string, Categor Y_level int , Default_import_categ_prior int , User_import_categ_prior int , Defa

After the project was completed, we found the tragedy. By default, sqoop was used to list data tables from Oracle databases. If the data accuracy is greater than 15 digits, some fields in the imported table are of the double type by default. As a result, more than 16 fields are imported to hive. The query time is only 15-bit precise. Sorry, remember. Hadoop clus

1, the whole library importSqoop import-all-tables--connect jdbc:mysql://ip:3306/dbname--username user--password password--hive-database ABC- M--create-hive-table--hive-import--hive-overwriteImport-all-tables: Import All Tables--connect: URL address of the connection--username:mysql User Name--password:mysql Password--

Java is simpler to use with JDBC to connect to hive, but the computational power of hive is weaker than that of other databases, and it is cumbersome to perform unconventional computations that require data to be taken out of Java for further computation.Using the collector with Java programming can reduce the complexity of the computational effort required for J

What is 1.HDFS?The Hadoop Distributed File System (HDFS) is designed to be suitable for distributed file systems running on general-purpose hardware (commodity hardware). It has a lot in common with existing Distributed file systems.Basic Concepts in 2.HDFS(1) blocks (block)"Block" is a fixed-size storage unit, HDFS files are partitioned into blocks for storage, HDFs block default size is 64MB. After the file is delivered, HDFs splits the file into blocks for management, and "block" is the logic

Is there a way to display hive data using php? QUESTION: (1) Where are the username and password set when php connects to hive2 through thrift? I think the net is a tsocket object directly, and then the SQL statement is executed directly. I tried and couldn't connect to it! I don't think the user name and password won't be connected? (2) has someone connected hive2 through php? (3) you can connect to

Tags: hiveOne, sqoop in synchronizing MySQL table structure to hiveSqoop create-hive-table--connect jdbc:mysql://ip:3306/sampledata--table t1--username Dev--password 1234--hive-table T1;Execution to this step exits, but in Hadoop's HDFs/hive/warehouse/directory is not found T1 table directory,But the normal execution is done as follows:The error is that Hive's ja

5.1 loading data into the management tableHive does not have row-level data to insert updates and deletions, the only way to load data into a table is to use a "large amount" of data-loading operations, or to simply write files to the correct directory in other ways;LOAD DATA