diff --git a/.gitmodules b/.gitmodules index 037accdbe4241..7406be483598d 100644 --- a/.gitmodules +++ b/.gitmodules @@ -8,3 +8,4 @@ path = datafusion-testing url = https://github.com/apache/datafusion-testing.git branch = main + update = none diff --git a/datafusion/common/src/scalar/mod.rs b/datafusion/common/src/scalar/mod.rs index 452d6c13b3e08..d85f45bbd8751 100644 --- a/datafusion/common/src/scalar/mod.rs +++ b/datafusion/common/src/scalar/mod.rs @@ -2378,7 +2378,7 @@ impl ScalarValue { Arc::new(array) } // explicitly enumerate unsupported types so newly added - // types must be aknowledged, Time32 and Time64 types are + // types must be acknowledged, Time32 and Time64 types are // not supported if the TimeUnit is not valid (Time32 can // only be used with Second and Millisecond, Time64 only // with Microsecond and Nanosecond) diff --git a/datafusion/core/src/datasource/listing/table.rs b/datafusion/core/src/datasource/listing/table.rs index 690ce31d0dc76..14b5bfa54eda2 100644 --- a/datafusion/core/src/datasource/listing/table.rs +++ b/datafusion/core/src/datasource/listing/table.rs @@ -1131,7 +1131,7 @@ impl ListingTable { } } -// Expressions can be used for parttion pruning if they can be evaluated using +// Expressions can be used for partition pruning if they can be evaluated using // only the partition columns and there are partition columns. fn can_be_evaluated_for_partition_pruning( partition_column_names: &[&str], diff --git a/datafusion/core/tests/physical_optimizer/filter_pushdown/mod.rs b/datafusion/core/tests/physical_optimizer/filter_pushdown/mod.rs index eaf3be2b86edb..b949ae159756c 100644 --- a/datafusion/core/tests/physical_optimizer/filter_pushdown/mod.rs +++ b/datafusion/core/tests/physical_optimizer/filter_pushdown/mod.rs @@ -1102,7 +1102,7 @@ async fn test_hashjoin_dynamic_filter_pushdown_partitioned() { Arc::new(CoalesceBatchesExec::new(hash_join, 8192)) as Arc; // Top-level CoalescePartitionsExec let cp = Arc::new(CoalescePartitionsExec::new(cb)) as Arc; - // Add a sort for determistic output + // Add a sort for deterministic output let plan = Arc::new(SortExec::new( LexOrdering::new(vec![PhysicalSortExpr::new( col("a", &probe_side_schema).unwrap(), diff --git a/datafusion/physical-expr/src/expressions/case.rs b/datafusion/physical-expr/src/expressions/case.rs index 65a2108266647..5409cfe8e7e45 100644 --- a/datafusion/physical-expr/src/expressions/case.rs +++ b/datafusion/physical-expr/src/expressions/case.rs @@ -1070,7 +1070,6 @@ mod tests { .into_iter() .collect(); - //let valid_array = vec![true, false, false, true, false, tru let null_buffer = Buffer::from([0b00101001u8]); let load4 = load4 .into_data() diff --git a/docs/source/user-guide/introduction.md b/docs/source/user-guide/introduction.md index 040405f8f63e7..68164c1cbfedd 100644 --- a/docs/source/user-guide/introduction.md +++ b/docs/source/user-guide/introduction.md @@ -86,7 +86,7 @@ Here are some example systems built using DataFusion: By using DataFusion, projects are freed to focus on their specific features, and avoid reimplementing general (but still necessary) features such as an expression representation, standard optimizations, -parellelized streaming execution plans, file format support, etc. +parallelized streaming execution plans, file format support, etc. ## Known Users diff --git a/typos.toml b/typos.toml index 5741ab8e9cc9c..7d08ce2f09c34 100644 --- a/typos.toml +++ b/typos.toml @@ -16,6 +16,7 @@ abov = "abov" Ois = "Ois" alo = "alo" Byt = "Byt" +nteger = "nteger" # abbreviations, common words, etc. typ = "typ"