> For the complete documentation index, see [llms.txt](https://docs.redivis.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.redivis.com/api/client-libraries/redivis-r/reference/upload/uploadusdinsert_rows.md).

# Upload$insert\_rows

### Upload$<mark style="color:purple;">insert\_rows</mark>(*rows, update\_schema=FALSE*) → ***list***[\<insertRows response>](/api/rest-api/uploads/insertrows.md#response-body)

Insert rows into the upload. Can only be called on unreleased uploads of type `"stream".` Should be called at most once per second, per upload; for increased performance try batching multiple rows into a single request, up to a limit of 10MB per request.

### **Parameters:**

**`rows` :&#x20;*****data.frame | character***\
The rows to insert. Either a data.frame (or something that inherits from data.frame; e.g., a tibble), or a character vector that is a valid JSON string for an [insertRows payload](/api/rest-api/uploads/insertrows.md).

### **Returns:**&#x20;

**List**[**\<insertRows response>**](/api/rest-api/uploads/insertrows.md#response-body)

### Examples

```r
library(redivis)

dataset <- redivis$user("user_name")$dataset("dataset_name", version="next")
table <- dataset$table("table_name")

# Providing a schema with the initial request is optional (but recommended).
# If not set, schema will be inferred based on the first batch of rows.
schema <- list(
  list(name = "var1", type = "string"),
  list(name = "var2", type = "integer"),
  list(name = "var3", type = "dateTime")
)

# Construct a data.frame to send (or alternatively, a stringified JSON array of objects)
rows <- data.frame(
  var1 = c("hello", "world"),
  var2 = c(1, 2),
  var3 = c(NA, "2020-01-01T00:00:00.123")
)

upload <- table$upload(name="my_stream")

# Create, or get a reference to an exisiting upload named "my_stream"
upload.create(type="stream", schema=schema, if_not_exists=True) 

insert_response = upload.insert_rows(rows)

# See REST API / uploads / insertRows
print(insert_response)
```


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter:

```
GET https://docs.redivis.com/api/client-libraries/redivis-r/reference/upload/uploadusdinsert_rows.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.