Скачать или смотреть SQOOP codes in BIGDATA || Importing and Exporting into HADOOP || V5

Here are codes for importing and exporting data using Sqoop in Hadoop.

Importing data into Hadoop using Sqoop:
```
sqoop import \
--connect jdbc:mysql://localhost/mydatabase \
--username myuser \
--password mypassword \
--table mytable \
--target-dir /path/to/hdfs/directory \
--m 1
```
Explanation:
`--connect`: Specifies the JDBC URL for the database.
`--username` and `--password`: Credentials for connecting to the database.
`--table`: Specifies the table to import.
`--target-dir`: The HDFS directory where the imported data will be stored.
`--m`: Specifies the number of map tasks to use for import (in this case, 1).

Exporting data from Hadoop using Sqoop:
```
sqoop export \
--connect jdbc:mysql://localhost/mydatabase \
--username myuser \
--password mypassword \
--table mytable \
--export-dir /path/to/hdfs/directory \
--input-fields-terminated-by ',' \
--m 1
```
Explanation:
`--connect`: Specifies the JDBC URL for the database.
`--username` and `--password`: Credentials for connecting to the database.
`--table`: Specifies the table to export to.
`--export-dir`: The HDFS directory from which data will be exported.
`--input-fields-terminated-by`: Specifies the field delimiter in the exported data.
`--m`: Specifies the number of map tasks to use for export (in this case, 1).

These are basic examples of importing and exporting data using Sqoop in Hadoop. You can customize these commands based on your specific requirements, such as specifying the format, columns, filters, etc.

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