Apache Livy可以执行minio上的jar的java示例代码
时间: 2024-05-03 07:23:34 浏览: 29
Apache Livy是一种开源的REST服务,它可以使用户通过Web界面或API执行交互式Spark、PySpark和SparkR作业。虽然Apache Livy本身不直接支持执行minio上的jar文件,但是可以将minio上的jar文件下载到本地,然后使用Livy API将其提交到Spark集群上执行。
以下是使用Apache Livy执行minio上的jar文件的示例代码:
1. 下载minio上的jar文件到本地。
```
aws s3 cp s3://bucket-name/path/to/jar/file.jar /path/to/local/jar/file.jar
```
2. 使用Livy API提交作业。
```python
import requests
import json
livy_url = "http://localhost:8998"
jar_file_path = "/path/to/local/jar/file.jar"
class_name = "com.example.Main"
args = ["arg1", "arg2"]
# Upload the jar file
with open(jar_file_path, "rb") as f:
files = {"file": f}
response = requests.post(livy_url + "/batches/upload", files=files)
file_url = livy_url + response.json()["url"]
# Submit the job
data = {
"file": file_url,
"className": class_name,
"args": args
}
headers = {"Content-Type": "application/json"}
response = requests.post(livy_url + "/batches", data=json.dumps(data), headers=headers)
batch_id = response.json()["id"]
```
3. 获取作业状态和结果。
```python
# Get the status of the job
response = requests.get(livy_url + "/batches/" + str(batch_id))
status = response.json()["state"]
# Get the result of the job (if completed successfully)
if status == "success":
response = requests.get(livy_url + "/batches/" + str(batch_id) + "/log")
result = response.json()["stdout"]
```