Apache Livy可以执行minio上的jar吗
时间: 2023-11-13 09:04:04 浏览: 40
Apache Livy是一个开源的Apache Spark REST服务,可以与任何支持Hadoop HDFS或Amazon S3的分布式文件系统一起使用,包括Minio。因此,Apache Livy可以执行存储在Minio上的jar文件,只要Minio存储桶的访问密钥和密钥被正确配置并且jar文件的路径正确指定。
相关问题
Apache Livy可以执行minio上的jar的java示例代码
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"]
```
Apache Livy
Apache Livy is an open-source project that provides a REST interface for interacting with Apache Spark clusters. It allows users to submit and manage Spark jobs from remote applications, such as web or mobile apps, without the need for direct access to the Spark cluster.
Livy provides a simple REST API for submitting jobs, monitoring job status, and retrieving job results. It also supports various programming languages, including Java, Scala, and Python. Additionally, Livy supports different authentication mechanisms, such as OAuth2 and Kerberos, to ensure secure access to the Spark cluster.
Livy is designed to simplify the deployment and management of Spark applications in a distributed environment. It enables users to run Spark jobs on a shared cluster, reducing the need for individual Spark deployments. Moreover, Livy allows users to leverage the scalability and performance benefits of Spark without having to manage the underlying infrastructure.
Overall, Apache Livy is a valuable tool for organizations looking to streamline their Spark deployment and management processes. It provides a simple, secure, and scalable way to interact with Spark clusters, making it easier for users to develop and deploy Spark applications.
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