andygrove commented on a change in pull request #7972:
URL: https://github.com/apache/arrow/pull/7972#discussion_r471125731
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File path: rust/datafusion/examples/memory_table_api.rs
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@@ -51,15 +51,15 @@ fn main() -> Result<()> {
// declare a table in memory. In spark API, this corresponds to
createDataFrame(...).
let provider = MemTable::new(schema, vec![vec![batch]])?;
ctx.register_table("t", Box::new(provider));
- let t = ctx.table("t")?;
+ let df = ctx.table("t")?;
Review comment:
SparkSession has a `table` method described as `Returns the specified
table/view as a DataFrame`. I tend to follow Spark conventions where possible.
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