[Feature][Sink] When The Source Is LocalFile And The Sink Is HTTP, How To Set The Batch Read Size?
Introduction
Seatunnel is a powerful, high-performance data integration tool that enables users to easily integrate various data sources and sinks. When working with local files as a source and HTTP as a sink, users may encounter issues with batch read size. In this article, we will explore how to set the batch read size when the source is LocalFile and the sink is HTTP in Seatunnel.
Problem Statement
When the batch size is set to 50 for the sink, the HTTP call still sends only one record at a time. This can lead to performance issues and inefficient data transfer. To resolve this issue, we need to understand how to set the batch read size correctly.
Understanding Batch Read Size
Batch read size refers to the number of records that are read from the source and sent to the sink in a single batch. This setting is crucial for optimizing data transfer performance. When the batch size is set too low, it can lead to increased network traffic and decreased performance. On the other hand, setting the batch size too high can result in memory usage issues.
Setting Batch Read Size for LocalFile Source and HTTP Sink
To set the batch read size for a LocalFile source and an HTTP sink in Seatunnel, you can use the following configuration:
env {
execution.parallelism = 4
job.mode = "BATCH"
}
source {
LocalFile {
path = "/home/user/1million.csv"
file_format_type = "csv"
field_delimiter = ","
skip_header_row_number = 1
encoding = "utf-8"
schema {
fields {
sfwh = boolean
create_time = "string"
hm = string
zjhm = string
yearr = string
cylx = string
level = int
}
}
}
}
transform {
sql {
plugin_input = "csv_source"
plugin_output = "processed_data"
query = "SELECT * from csv_source"
}
}
sink {
Http {
url = "http://192.168.2.131/accept"
method = "POST"
headers = {
"Content-Type" = "application/json"
}
batch_size = 50
plugin_input = "processed_data"
format = "json"
request_interval_ms = 500
}
}
In the above configuration, the batch size is set to 50 for the HTTP sink. However, as mentioned earlier, this setting may not work as expected. To resolve this issue, we need to understand how to set the batch read size correctly.
Resolving the Issue
To resolve the issue, we need to understand that the batch size setting only applies to the sink. Therefore, we need to set the batch read size for the LocalFile source. We can do this by adding the following configuration:
source {
LocalFile {
path = "/home/user/1million.csv"
file_format_type = "csv"
field_delimiter = ","
skip_header_row_number = 1
encoding = "utf-8"
schema {
fields {
sf = boolean
create_time = "string"
hm = string
zjhm = string
yearr = string
cylx = string
level = int
}
}
batch_size = 50
}
}
In the above configuration, the batch read size is set to 50 for the LocalFile source. This setting will ensure that the source reads 50 records at a time and sends them to the sink in a single batch.
Conclusion
In conclusion, setting the batch read size for a LocalFile source and an HTTP sink in Seatunnel requires a clear understanding of how batch read size works. By setting the batch read size for the source, we can ensure that the data is transferred efficiently and effectively. We hope this article has provided valuable insights into setting batch read size for LocalFile source and HTTP sink in Seatunnel.
Related Issues
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Yes, I am willing to submit a PR!
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Introduction
In our previous article, we explored how to set the batch read size when the source is LocalFile and the sink is HTTP in Seatunnel. However, we understand that there may be additional questions and concerns regarding this topic. In this article, we will address some of the most frequently asked questions related to setting batch read size for LocalFile source and HTTP sink in Seatunnel.
Q: What is the default batch read size for LocalFile source?
A: The default batch read size for LocalFile source is 1000 records.
Q: How do I set the batch read size for LocalFile source?
A: To set the batch read size for LocalFile source, you can add the batch_size parameter to the LocalFile configuration. For example:
source {
LocalFile {
path = "/home/user/1million.csv"
file_format_type = "csv"
field_delimiter = ","
skip_header_row_number = 1
encoding = "utf-8"
schema {
fields {
sf = boolean
create_time = "string"
hm = string
zjhm = string
yearr = string
cylx = string
level = int
}
}
batch_size = 50
}
}
Q: What is the effect of setting a high batch read size for LocalFile source?
A: Setting a high batch read size for LocalFile source can lead to increased memory usage and potentially cause the application to run out of memory.
Q: Can I set the batch read size for HTTP sink?
A: Yes, you can set the batch read size for HTTP sink by adding the batch_size parameter to the Http configuration. For example:
sink {
Http {
url = "http://192.168.2.131/accept"
method = "POST"
headers = {
"Content-Type" = "application/json"
}
batch_size = 50
plugin_input = "processed_data"
format = "json"
request_interval_ms = 500
}
}
Q: What is the effect of setting a low batch read size for HTTP sink?
A: Setting a low batch read size for HTTP sink can lead to increased network traffic and potentially cause performance issues.
Q: Can I set the batch read size for both LocalFile source and HTTP sink?
A: Yes, you can set the batch read size for both LocalFile source and HTTP sink. However, be aware that setting a high batch read size for LocalFile source and a low batch read size for HTTP sink can lead to performance issues.
Q: How do I troubleshoot batch read size issues?
A: To troubleshoot batch read size issues, you can check the application logs for errors related to batch read size. Additionally, you can use tools such as top or htop to monitor the application's memory usage and CPU usage.
Conclusion
In conclusion, setting read size for LocalFile source and HTTP sink in Seatunnel requires a clear understanding of how batch read size works. By setting the batch read size correctly, you can ensure that your application runs efficiently and effectively. We hope this Q&A article has provided valuable insights into setting batch read size for LocalFile source and HTTP sink in Seatunnel.
Related Issues
Are You Willing to Submit a PR?
Yes, I am willing to submit a PR!
Code of Conduct
I agree to follow this project's Code of Conduct.