MRS provides enterprise-level big data clusters on the cloud. It contains HDFS, Hive, and Spark components and is applicable to massive data analysis of enterprises.
Hive supports SQL to help users perform extraction, transformation, and loading (ETL) operations on large-scale data sets. Query on large-scale data sets takes a long time. In many scenarios, you can create Hive partitions to reduce the total amount of data to be scanned each time. This significantly improves query performance.
Hive partitions are implemented by using the HDFS subdirectory function. Each subdirectory contains the column names and values of each partition. If there are multiple partitions, many HDFS subdirectories exist. It is not easy to load external data to each partition of the Hive table without relying on tools. With CDM, you can easily load data of the external data sources (relational databases, object storage services, and file system services) to Hive partition tables.
This section describes how to migrate data from the MySQL database to the MRS Hive partition table.
Suppose that there is a trip_data table in the MySQL database. The table stores cycling records such as the start time, end time, start sites, end sites, and rider IDs. For details about the fields in the trip_data table, see Figure 1.
The following describes how to use CDM to import the trip_data table in the MySQL database to the MRS Hive partition table. The procedure is as follows:
1 | create table trip_data(TripID int,Duration int,StartDate timestamp,StartStation varchar(64),StartTerminal int,EndDate timestamp,EndStation varchar(64),EndTerminal int,Bike int,SubscriberType varchar(32),ZipCodev varchar(10))partitioned by (y int,ym int,ymd int); |
The trip_data partition table has three partition fields: year, year and month, and year, month, and date of the start time of a ride. For example, if the start time of a ride is 2018/5/11 9:40, the record is saved in the trip_data/2018/201805/20180511 partition. When the records in the trip_data table are summarized, only part of the data needs to be scanned, greatly improving the performance.
If SSL encryption is configured for the access channel of a local data source, CDM cannot connect to the data source using the EIP.

Click Show Advanced Attributes to view more optional parameters. For details, see RDS for MySQL/MySQL Database Link Parameters. Retain the default values for the optional parameters and configure the mandatory parameters described in Table 1.
Parameter |
Description |
Example Value |
|---|---|---|
Name |
Enter a unique link name. |
mysqllink |
Database Server |
IP address or domain name of the MySQL database |
N/A |
Port |
MySQL database port |
3306 |
Database Name |
Name of the MySQL database |
sqoop |
Username |
User who has the read, write, and delete permissions on the MySQL database |
admin |
Password |
Password of the user |
N/A |
Use Local API |
Whether to use the local API of the database for acceleration. (The system attempts to enable the local_infile system variable of the MySQL database.) |
Yes |
Use Agent |
Whether to extract data from the data source through an agent |
No |
local_infile Character Set |
When using local_infile to import data to MySQL, you can configure the encoding format. |
utf8 |
Driver Version |
Before connecting CDM to a relational database, you need to upload the JDK 8 .jar driver of the relational database. Download the MySQL driver 5.1.48 from https://downloads.mysql.com/archives/c-j/, obtain mysql-connector-java-5.1.48.jar, and upload it. |
N/A |
If an error occurs during the saving, the security settings of the MySQL database are incorrect. In this case, you need to enable the EIP of the CDM cluster to access the MySQL database.

Table 2 lists the parameters. Configure these parameters based on your actual situation.
Parameter |
Description |
Example Value |
|---|---|---|
Name |
Link name, which should be defined based on the data source type, so it is easier to remember what the link is for |
hivelink |
Manager IP |
Floating IP address of MRS Manager. Click Select next to the Manager IP text box to select an MRS cluster. CDM automatically fills in the authentication information.
NOTE:
DataArts Studio does not support MRS clusters whose Kerberos encryption type is aes256-sha2,aes128-sha2, and only supports MRS clusters whose Kerberos encryption type is aes256-sha1,aes128-sha1. |
127.0.0.1 |
Authentication Method |
Authentication method used for accessing MRS
|
SIMPLE |
HIVE Version |
Set this to the Hive version on the server. |
HIVE_3_X |
Username |
If Authentication Method is set to KERBEROS, you must provide the username and password used for logging in to MRS Manager. If you need to create a snapshot when exporting a directory from HDFS, the user configured here must have the administrator permission on HDFS. To create a data connection for an MRS security cluster, do not use user admin. The admin user is the default management page user and cannot be used as the authentication user of the security cluster. You can create an MRS user and set Username and Password to the username and password of the created MRS user when creating an MRS data connection.
NOTE:
|
cdm |
Password |
Password used for logging in to MRS Manager |
- |
Enable ldap |
This parameter is available when Proxy connection is selected for Connection Type. If LDAP authentication is enabled for an external LDAP server connected to MRS Hive, the LDAP username and password are required for authenticating the connection to MRS Hive. In this case, this option must be enabled. Otherwise, the connection will fail. |
No |
ldapUsername |
This parameter is mandatory when Enable ldap is enabled. Enter the username configured when LDAP authentication was enabled for MRS Hive. |
- |
ldapPassword |
This parameter is mandatory when Enable ldap is enabled. Enter the password configured when LDAP authentication was enabled for MRS Hive. |
- |
OBS storage support |
The server must support OBS storage. When creating a Hive table, you can store the table in OBS. |
No |
AK |
This parameter is mandatory when OBS storage support is enabled. The account corresponding to the AK/SK pair must have the OBS Buckets Viewer permission. Otherwise, OBS cannot be accessed and the "403 AccessDenied" error is reported. You need to create an access key for the current account and obtain an AK/SK pair.
|
- |
SK |
- |
|
Run Mode |
This parameter is used only when the Hive version is HIVE_3_X. Possible values are:
|
EMBEDDED |
Check Hive JDBC Connectivity |
Whether to check the Hive JDBC connectivity |
No |
Use Cluster Config |
You can use the cluster configuration to simplify parameter settings for the Hadoop connection. |
No |
Cluster Config Name |
This parameter is valid only when Use Cluster Config is set to Yes. Select a cluster configuration that has been created. For details about how to configure a cluster, see "DataArts Migration" > "Managing Links" > "Managing Cluster Configurations" in User Guide. |
hive_01 |
Set Clear Data Before Import to Yes, so that the data in the Hive table will be cleared before data import.
Map the fields of the MySQL table and Hive table. The Hive table has three more fields y, ym, and ymd than the MySQL table, which are the Hive partition fields. Because the fields of the source table cannot be directly mapped to the destination table, you need to configure an expression to extract data from the StartDate field in the source table.
to display the Converter List dialog box, and then choose . See Figure 6.The expressions for the y, ym, and ymd fields are as follows:
DateUtils.format(DateUtils.parseDate(row[2],"yyyy-MM-dd HH:mm:ss.SSS"),"yyyy")
DateUtils.format(DateUtils.parseDate(row[2],"yyyy-MM-dd HH:mm:ss.SSS"),"yyyyMM")
DateUtils.format(DateUtils.parseDate(row[2],"yyyy-MM-dd HH:mm:ss.SSS"),"yyyyMMdd")
The expressions in CDM support field conversion of common character strings, dates, and values.

On the Historical Record page, click Log to view the job logs.