# aliyun-odps-jdbc
**Repository Path**: mirrors_aliyun/aliyun-odps-jdbc
## Basic Information
- **Project Name**: aliyun-odps-jdbc
- **Description**: JDBC Driver for ODPS
- **Primary Language**: Unknown
- **License**: Apache-2.0
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No
## Statistics
- **Stars**: 0
- **Forks**: 0
- **Created**: 2020-08-08
- **Last Updated**: 2025-09-20
## Categories & Tags
**Categories**: Uncategorized
**Tags**: None
## README
# ODPS JDBC

[](https://maven-badges.herokuapp.com/maven-central/com.aliyun.odps/odps-jdbc)
## Chinese Docs
[MaxCompute JDBC介绍](https://help.aliyun.com/document_detail/143408.html)
## Installation
Generally, there are two ways to use ODPS JDBC driver in your project.
1.The first one is to use the standalone library:
* Download the with-dependencies-jar
from [release page](https://github.com/aliyun/aliyun-odps-jdbc/releases).
* Checkout the [CHANGELOG](https://github.com/aliyun/aliyun-odps-jdbc/blob/master/CHANGELOG.md).
2.The second is to rely on maven to resolve the dependencies for you:
```xml
com.aliyun.odpsodps-jdbcVERSION
```
## Getting Started
Using ODPS JDBC driver is just as using other JDBC drivers. It contains the following few steps:
1\. Explictly load the ODPS JDBC driver using `Class.forName()`:
```java
Class.forName("com.aliyun.odps.jdbc.OdpsDriver");
```
2\. Connect to the ODPS by creating a `Connection` object with the JDBC driver:
```java
Connection conn=DriverManager.getConnection(url,accessId,accessKey);
```
The ODPS server works with RESTful API, so the url looks like:
```java
String url="jdbc:odps:ENDPOINT?project=PROJECT_NAME&charset=UTF-8";
```
The connection properties can also be passed through `Properties`. For example:
```java
Properties config=new Properties();
config.put("access_id","...");
config.put("access_key","...");
config.put("project_name","...");
config.put("charset","...");
Connection conn=DriverManager.getConnection("jdbc:odps:",config);
```
3\. Submit SQL to ODPS by creating `Statement` object and using its `executeQuery()` method:
```java
Statement stmt=conn.createStatement();
ResultSet rs=stmt.executeQuery("SELECT foo FROM bar");
```
4\. Process the result set.
For example:
```java
while(rs.next()){
...
}
```
### Connection String Parameters
It is recommended that the key and value in URL should be encoded by using
java.net.URLEncoder#encode(java.lang.String).
#### Basic
| URL key | Property Key | Required | Default value | Description |
|:------------------:|:--------------------:|:--------:|:--------------:|:----------------------------------------------|
| `endpoint` | `end_point` | True | | The endpoint of your MaxCompute service |
| `project` | `project_name` | True | | The name of your MaxCompute project |
| `accessId` | `access_id` | True | | Your Alibaba Cloud access key ID |
| `accessKey` | `access_key` | True | | Your Alibaba Cloud access key secret |
| `interactiveMode` | `interactive_mode` | False | false | For MCQA, enable MCQA |
| `logview` | `logview_host` | False | Provided by MC | The endpoint of MaxCompute Logview |
| `tunnelEndpoint` | `tunnel_endpoint` | False | Provided by MC | The endpoint of the MaxCompute Tunnel service |
| `enableOdpsLogger` | `enable_odps_logger` | False | false | Enable MaxCompute JDBC logger |
#### Advanced
| URL key | Property Key | Required | Default value | Description |
|:-------------------------:|:----------------------------:|:--------:|:-----------------------:|:----------------------------------------------------------------------------------------------------------------------------------------------------|
| `stsToken` | `sts_token` | False | | The Alibaba Cloud STS token |
| `logConfFile` | `log_conf_file` | False | | The configuration path for SLF4J |
| `charset` | `charset` | False | UTF-8 | The charset of the inputs and outputs |
| `executeProject` | `execute_project_name` | False | | For MCQA, the name of the MaxCompute project in which actually execute the queries |
| `alwaysFallback` | `always_fallback` | False | false | For MCQA, fall back to regular mode if any exception happened |
| `instanceTunnelMaxRecord` | `instance_tunnel_max_record` | False | -1 (unlimited) | For MCQA, max number of records within a result set, enableLimit option should set to false |
| `instanceTunnelMaxSize` | `instance_tunnel_max_size` | False | -1 (unlimited) | For MCQA, max size of a result set in byte |
| `enableLimit` | `enable_limit` | False | true(limited) | For MCQA, download permission won't be checked if enableLimit is set true, but your result record count will be limited to 10000 |
| `autoLimitFallback` | `auto_limit_fallback` | False | False(no auto fallback) | For non-MCQA mode, result record count will be limited to 10000 when no download permission exception happened and autoLimitFallback is set to true |
## Example
### JDBC Client Sample Code
```java
import java.sql.SQLException;
import java.sql.Connection;
import java.sql.ResultSet;
import java.sql.Statement;
import java.sql.DriverManager;
public class OdpsJdbcClient {
private static String driverName = "com.aliyun.odps.jdbc.OdpsDriver";
/**
* @param args
* @throws SQLException
*/
public static void main(String[] args) throws SQLException {
try {
Class.forName(driverName);
} catch (ClassNotFoundException e) {
e.printStackTrace();
System.exit(1);
}
// fill in the information here
String accessId = "your_access_id";
String accessKey = "your_access_key";
Connection
conn =
DriverManager.getConnection(
"jdbc:odps:https://service.odps.aliyun.com/api?project=", accessId,
accessKey);
Statement stmt = conn.createStatement();
String tableName = "testOdpsDriverTable";
stmt.execute("drop table if exists " + tableName);
stmt.execute("create table " + tableName + " (key int, value string)");
String sql;
ResultSet rs;
// insert a record
sql =
String.format(
"insert into table %s select 24 key, 'hours' value from (select count(1) from %s) a",
tableName, tableName);
System.out.println("Running: " + sql);
int count = stmt.executeUpdate(sql);
System.out.println("updated records: " + count);
// select * query
sql = "select * from " + tableName;
System.out.println("Running: " + sql);
rs = stmt.executeQuery(sql);
while (rs.next()) {
System.out.println(String.valueOf(rs.getInt(1)) + "\t" + rs.getString(2));
}
// regular query
sql = "select count(1) from " + tableName;
System.out.println("Running: " + sql);
rs = stmt.executeQuery(sql);
while (rs.next()) {
System.out.println(rs.getString(1));
}
// do not forget to close
stmt.close();
conn.close();
}
}
```
### Setting SQL task properties
```java
stmt.execute("set biz_id=xxxxxx;");
stmt.execute("set odps.sql.mapper.split.size=512;");
```
## Third-party Integration
It is also recommended to use ODPS by using other third-party BI tools or DB visualizer that
supports JDBC.
For example:
* [SQLWorkbench/J]()
* [Squrriel SQL]()
* [Pentaho]()
## Getting Involved
The project is under construction (and not fully JDBC-compliant).
If you dicover any good features which have not been implemented, please fire me
an [Email](mailto:zhangdingxin.zdx@alibaba-inc.com) or just pull a request.
### Architecture
[](mindmap.pdf)
### Build and run unitest
1.Build from source locally:
```
git clone ....
cd odps-jdbc
mvn package -DskipTests
```
2.Copy out a configuration file:
```
cp ./src/test/resources/conf.properties.example ./src/test/resources/conf.properties
```
3.Fill in your connection strings:
```
access_id=...
access_key=...
end_point=...
project_name=...
logview_host=...
charset=UTF-8
```
4.Run maven test command (or just test it in IntelliJ IDEA):
```
mvn test
```
### Data Type Mapping
Currently, 16 ODPS data types are supported. Please see the following table for supported ODPS data
types and corresponding JDBC interfaces.
| ODPS Type | JDBC Interface | JDBC Type |
|:-------------:|:--------------------------------:|:---------:|
| TINYINT | java.sql.ResultSet.getByte | TINYINT |
| SMALLINT | java.sql.ResultSet.getShort | SMALLINT |
| INT | java.sql.ResultSet.getInt | INTEGER |
| BIGINT | java.sql.ResultSet.getLong | BIGINT |
| FLOAT | java.sql.ResultSet.getFloat | FLOAT |
| DOUBLE | java.sql.ResultSet.getDouble | DOUBLE |
| DECIMAL | java.sql.ResultSet.getBigDecimal | DECIMAL |
| VARCHAR | java.sql.ResultSet.getString | VARCHAR |
| CHAR | java.sql.ResultSet.getString | CHAR |
| STRING | java.sql.ResultSet.getString | VARCHAR |
| BOOLEAN | java.sql.ResultSet.getBoolean | BOOLEAN |
| DATE | java.sql.ResultSet.getDate | DATE |
| DATETIME | java.sql.ResultSet.getTimestamp | TIMESTAMP |
| TIMESTAMP | java.sql.ResultSet.getTimestamp | TIMESTAMP |
| TIMESTAMP_NTZ | java.sql.ResultSet.getTimestamp | TIMESTAMP |
| BINARY | java.sql.ResultSet.getBytes | BINARY |
| ARRAY | java.sql.ResultSet.getArray | ARRAY |
When the `getObject()` method is called, what is obtained is the Java type directly corresponding to
each ODPS type without any conversion operation. Please see the following table for he
correspondence between ODPS types and Java types.
| ODPS Type | Java Type |
|:-------------:|:-----------------------------:|
| TINYINT | java.lang.Byte |
| SMALLINT | java.lang.Short |
| INT | java.lang.Integer |
| BIGINT | java.lang.Long |
| FLOAT | java.lang.Float |
| DOUBLE | java.lang.Double |
| DECIMAL | java.math.BigDecimal |
| VARCHAR | com.aliyun.odps.data.Varchar |
| CHAR | com.aliyun.odps.data.Char |
| STRING | byte[] |
| BOOLEAN | java.sql.ResultSet.getBoolean |
| DATE | java.time.LocalDate |
| DATETIME | java.time.ZonedDateTime |
| TIMESTAMP | java.time.Instant |
| TIMESTAMP_NTZ | java.time.LocalDateTime |
| BINARY | com.aliyun.odps.data.Binary |
| ARRAY | java.util.List