(T4cpreparedstatement.java:884) at Oracle.jdbc.driver.OracleStatement.executeMaybeDescribe (Oraclestatement.java:1167) at Oracle.jdbc.driver.OracleStatement.doExecuteWithTimeout (Oraclestatement.java:1289) at Oracle.jdbc.driver.OraclePreparedStatement.executeInternal (Oraclepreparedstatement.java:3584) at Oracle.jdbc.driver.OraclePreparedStatement.executeQuery (Oraclepreparedstatement.java:3628) at Oracle.jdbc.driver.OraclePreparedStatementWrapper.executeQuery (Oraclepreparedstatementwrapper.ja
Using Hadoop to analyze and process data requires loading the data into a cluster and combining it with other data in the enterprise production database. It is a challenge to load large chunks of data from production systems into Hadoop or to get data from map reduce applications in large clusters. Users must be aware of the details of ensuring data consistency, consuming production system resources, and supplying downstream pipeline data preprocessing. Using a script to transform data is ineffi
These are from the official website of Sqoop, is 1.4.3 version of the document, if there is a mistake, I hope you will correct me. 1. Import data using Sqoop
Sqoop import--connect jdbc:mysql://localhost/db--username foo--table TEST2. Account password
Sqoop import--connect jdbc:mysql://database.example.com/employees \
, or hbase.When you use Sqoop to export data from MySQL to Hadoop, you need to consider whether you want to go directly into hive (which is the normal table) or import data to Hbase,sqoop and support both imports.Test SqoopTestAfter the execution of the above Sqoop statement, you can confirm that the Sqoop is working p
Tags: hive videoHive detailed and practical (hive Environment deployment +zeus+sqoop sqoop+ User Behavior analysis case)Course Study Address: http://www.xuetuwuyou.com/course/187The course out of self-study, worry-free network: http://www.xuetuwuyou.comCourse Description:This course introduces basic hive architecture and environment deployment, and leads you to understand the advantages of data Warehouse hi
Business BackgroundUse Sqoop to query, add and delete MySQL.Business ImplementationSelect operation:sqoop eval --connect jdbc:mysql://127.0.0.1:3306/market --username admin --password 123456 --query "select end_user_id, category_id, score, last_bought_date, days_left, update_time The results of the implementation are as follows:[[email protected]/home/pms/workspace/ouyangyewei/data] $sqoop eval >--connect j
Tags: Big Data eraSqoop as a Hadoop The bridge between the traditional database and the data import and export plays an important role. by expounding the basic grammar and function of Sqoop, the paper deeply decrypts the function and value of Sqoop. First, what is Apache Sqoop?Clouderadeveloped byApacheOpen Source project, isSql-to-hadoopthe abbreviation. Main
Sqoop importing MySQL data sheet to hive error[[Email protected]172- +-1-221lib]# sqoop Import--connect jdbc:mysql://54.223.175.12:3308/gxt3--username guesttest--password guesttest--table ecomaccessv3-m 1--hive-importWarning:/opt/cloudera/parcels/cdh-5.10.0-1. Cdh5.10.0. P0. A/bin/. /lib/sqoop/. /accumulo does not exist!Accumulo imports would fail. pleaseSet$ACCU
database into HDFsNote: By default, 4 map tasks are used, each of which writes the data it imports into a separate file, 4 files in the same directory, and in this case-m1 means that only one map task text file cannot be saved as a binary field, and the null value and string value "null" cannot be distinguished from each other. After executing the following command, a Enterprise.java file is generated that can be used by the LS Enterprise.java view, code generation is a necessary part of the
Deployment Installation # Sqoop is a tool for transferring data from Hadoop and relational databases to each other, and can lead data from a relational database (e.g. MySQL, Oracle, Postgres, etc.) into the HDFs of Hadoop. HDFs data can also be directed into a relational database.# Deploy Sqoop to 13.33, reference documentation: Sqoop installation configuration a
as-M.
The above are common command line parameters. For detailed parameters, see the official User Manual:Http://sqoop.apache.org/docs/1.4.4/SqoopUserGuide.html
*) Performance AnalysisFor two solutions:RDBMS> Local File> HDFSRDBMS> sqoop> HDFSPerformance Comparison:#) Use JDBC to improve the import/export performance, which is not necessarily better than the built-in RDBMS import/export tool. In fact, the performance is poor.#)
query statement ( use \NBSP; wrap statement ./ sqoop Import--connect jdbc:mysql://192.168.1.10:3306/ Ekp_11 --username Root--password 123 456 --query ' SELECT * from Job_log where fd_start_time > "2015-06-00 00:00:00" and $CONDITIONS '--target-dir '/sqoop/JL3 ' - M 1 Note: When using the --query command, you need to be aware of the arguments behind the where, and$CONDITIONS This parameter must
Sqoop import data time date type error, sqoop import data date
A problem has been plagued for a long time. When sqoop import is used to import data from a mysql database to HDFS, an error is reported until an invalid value of the time and date type is found.
Hive only supports the timestamp type, while the date type in mysql is datetime. When the datetime value
first, what is Sqoop?Sqoop is a bridge connecting traditional relational databases to Hadoop. It includes the following two areas:1. Import data from a relational database into Hadoop and its associated systems, such as Hive and HBase.2. Extract the data from the Hadoop system and export it to the relational database.Sqoop's core design idea is to use MapReduce to speed up data transfer. This means that Sqo
import, you need to set split-by parameters. The sqoop is segmented according to the values of the split-by parameters, and then the segmented regions are assigned to different maps. The value of one row of rows fetched in the database is processed in each map and written to HDFs (it is also known that the imported transaction is in the Mapper Task Unit). At the
import--connect jdbc:mysql://192.168.1.10:3306/itcast--username Root--password 123 \--query ' SELECT * from Trade_detail where ID > 2 and $CONDITIONS '--split-by trade_detail.id--ta Rget-dir '/sqoop/td3 ' Note: If you use the--query command, you need to be aware of the arguments behind the where, and $CONDITIONS This parameter must be added There is the difference between single and double quotes, if--q
-split-size
Split the input stream everyNBytes when importing in direct mode
-- Inline-lob-limit
Set the maximum size for an inline LOB
-M, -- num-mappers
UseNMap tasks to import in parallel
-E, -- query
Import the resultsStatement.
-- Split-by
Column of the table used to
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