'Rename array() function to make_array(), extend array[]

datafusion/core/src/logical_plan/mod.rs

@@ -27,11 +27,11 @@ pub use datafusion_common::{
     Column, DFField, DFSchema, DFSchemaRef, ExprSchema, ToDFSchema,
 };
 pub use datafusion_expr::{
-    abs, acos, and, approx_distinct, approx_percentile_cont, array, ascii, asin, atan,
-    atan2, avg, bit_length, btrim, call_fn, case, cast, ceil, character_length, chr,
-    coalesce, col, combine_filters, concat, concat_expr, concat_ws, concat_ws_expr, cos,
-    count, count_distinct, create_udaf, create_udf, date_part, date_trunc, digest,
-    exists, exp, expr_rewriter,
+    abs, acos, and, approx_distinct, approx_percentile_cont, ascii, asin, atan, atan2,
+    avg, bit_length, btrim, call_fn, case, cast, ceil, character_length, chr, coalesce,
+    col, combine_filters, concat, concat_expr, concat_ws, concat_ws_expr, cos, count,
+    count_distinct, create_udaf, create_udf, date_part, date_trunc, digest, exists, exp,
+    expr_rewriter,
     expr_rewriter::{
         normalize_col, normalize_col_with_schemas, normalize_cols, replace_col,
         rewrite_sort_cols_by_aggs, unnormalize_col, unnormalize_cols, ExprRewritable,
@@ -50,11 +50,11 @@ pub use datafusion_expr::{
         StringifiedPlan, Subquery, TableScan, ToStringifiedPlan, Union,
         UserDefinedLogicalNode, Values,
     },
-    lower, lpad, ltrim, max, md5, min, not_exists, not_in_subquery, now, now_expr,
-    nullif, octet_length, or, power, random, regexp_match, regexp_replace, repeat,
-    replace, reverse, right, round, rpad, rtrim, scalar_subquery, sha224, sha256, sha384,
-    sha512, signum, sin, split_part, sqrt, starts_with, strpos, substr, sum, tan, to_hex,
-    to_timestamp_micros, to_timestamp_millis, to_timestamp_seconds, translate, trim,
-    trunc, unalias, upper, when, Expr, ExprSchemable, Literal, Operator,
+    lower, lpad, ltrim, make_array, max, md5, min, not_exists, not_in_subquery, now,
+    now_expr, nullif, octet_length, or, power, random, regexp_match, regexp_replace,
+    repeat, replace, reverse, right, round, rpad, rtrim, scalar_subquery, sha224, sha256,
+    sha384, sha512, signum, sin, split_part, sqrt, starts_with, strpos, substr, sum, tan,
+    to_hex, to_timestamp_micros, to_timestamp_millis, to_timestamp_seconds, translate,
+    trim, trunc, unalias, upper, when, Expr, ExprSchemable, Literal, Operator,
 };
 pub use datafusion_optimizer::expr_simplifier::{ExprSimplifiable, SimplifyInfo};

datafusion/core/src/prelude.rs

@@ -31,10 +31,10 @@ pub use crate::execution::options::{
     AvroReadOptions, CsvReadOptions, NdJsonReadOptions, ParquetReadOptions,
 };
 pub use crate::logical_plan::{
-    approx_percentile_cont, array, ascii, avg, bit_length, btrim, cast, character_length,
-    chr, coalesce, col, concat, concat_ws, count, create_udf, date_part, date_trunc,
-    digest, exists, from_unixtime, in_list, in_subquery, initcap, left, length, lit,
-    lower, lpad, ltrim, max, md5, min, not_exists, not_in_subquery, now, octet_length,
+    approx_percentile_cont, ascii, avg, bit_length, btrim, cast, character_length, chr,
+    coalesce, col, concat, concat_ws, count, create_udf, date_part, date_trunc, digest,
+    exists, from_unixtime, in_list, in_subquery, initcap, left, length, lit, lower, lpad,
+    ltrim, make_array, max, md5, min, not_exists, not_in_subquery, now, octet_length,
     random, regexp_match, regexp_replace, repeat, replace, reverse, right, rpad, rtrim,
     scalar_subquery, sha224, sha256, sha384, sha512, split_part, starts_with, strpos,
     substr, sum, to_hex, translate, trim, upper, Column, Expr, JoinType, Partitioning,

datafusion/core/tests/sql/functions.rs

@@ -111,8 +111,8 @@ async fn query_concat() -> Result<()> {
     Ok(())
 }
 
-#[tokio::test]
-async fn query_array() -> Result<()> {
+// Return a session context with table "test" registered with 2 columns
+fn array_context() -> SessionContext {
     let schema = Arc::new(Schema::new(vec![
         Field::new("c1", DataType::Utf8, false),
         Field::new("c2", DataType::Int32, true),
@@ -124,43 +124,110 @@ async fn query_array() -> Result<()> {
             Arc::new(StringArray::from_slice(&["", "a", "aa", "aaa"])),
             Arc::new(Int32Array::from(vec![Some(0), Some(1), None, Some(3)])),
         ],
-    )?;
+    )
+    .unwrap();
 
-    let table = MemTable::try_new(schema, vec![vec![data]])?;
+    let table = MemTable::try_new(schema, vec![vec![data]]).unwrap();
 
     let ctx = SessionContext::new();
-    ctx.register_table("test", Arc::new(table))?;
-    let sql = "SELECT array(c1, cast(c2 as varchar)) FROM test";
+    ctx.register_table("test", Arc::new(table)).unwrap();
+    ctx
+}
+
+#[tokio::test]
+async fn query_array() {
+    let ctx = array_context();
+    let sql = "SELECT array[c1, cast(c2 as varchar)] FROM test";
     let actual = execute_to_batches(&ctx, sql).await;
     let expected = vec![
-        "+--------------------------------------+",
-        "| array(test.c1,CAST(test.c2 AS Utf8)) |",
-        "+--------------------------------------+",
-        "| [, 0]                                |",
-        "| [a, 1]                               |",
-        "| [aa, ]                               |",
-        "| [aaa, 3]                             |",
-        "+--------------------------------------+",
+        "+----------+",
+        "| array    |",
+        "+----------+",
+        "| [, 0]    |",
+        "| [a, 1]   |",
+        "| [aa, ]   |",
+        "| [aaa, 3] |",
+        "+----------+",
+    ];
+    assert_batches_eq!(expected, &actual);
+}
+
+#[tokio::test]
+async fn query_make_array() {
+    let ctx = array_context();
+    let sql = "SELECT make_array(c1, cast(c2 as varchar)) FROM test";
+    let actual = execute_to_batches(&ctx, sql).await;
+    let expected = vec![
+        "+------------------------------------------+",
+        "| makearray(test.c1,CAST(test.c2 AS Utf8)) |",
+        "+------------------------------------------+",
+        "| [, 0]                                    |",
+        "| [a, 1]                                   |",
+        "| [aa, ]                                   |",
+        "| [aaa, 3]                                 |",
+        "+------------------------------------------+",
     ];
     assert_batches_eq!(expected, &actual);
-    Ok(())
 }
 
 #[tokio::test]
-async fn query_array_scalar() -> Result<()> {
+async fn query_array_scalar() {
     let ctx = SessionContext::new();
 
-    let sql = "SELECT array(1, 2, 3);";
+    let sql = "SELECT array[1, 2, 3];";
     let actual = execute_to_batches(&ctx, sql).await;
     let expected = vec![
-        "+-----------------------------------+",
-        "| array(Int64(1),Int64(2),Int64(3)) |",
-        "+-----------------------------------+",
-        "| [1, 2, 3]                         |",
-        "+-----------------------------------+",
+        "+-----------+",
+        "| array     |",
+        "+-----------+",
+        "| [1, 2, 3] |",
+        "+-----------+",
+    ];
+    assert_batches_eq!(expected, &actual);
+
+    // alternate syntax format
+    let sql = "SELECT [1, 2, 3];";
+    let actual = execute_to_batches(&ctx, sql).await;
+    assert_batches_eq!(expected, &actual);
+}
+
+#[tokio::test]
+async fn query_array_scalar_bad_types() {
+    let ctx = SessionContext::new();
+
+    // no common type to coerce to, should error
+    let err = plan_and_collect(&ctx, "SELECT [1, true, null]")
+        .await
+        .unwrap_err();
+    assert_eq!(err.to_string(), "Error during planning: Coercion from [Int64, Boolean, Null] to the signature VariadicEqual failed.",);
+}
+
+#[tokio::test]
+async fn query_array_scalar_coerce() {
+    let ctx = SessionContext::new();
+
+    // The planner should be able to coerce this to all integers
+    // https://github.com/apache/arrow-datafusion/issues/3170
+    let err = plan_and_collect(&ctx, "SELECT [1, 2, '3']")
+        .await
+        .unwrap_err();
+    assert_eq!(err.to_string(), "Error during planning: Coercion from [Int64, Int64, Utf8] to the signature VariadicEqual failed.",);
+}
+
+#[tokio::test]
+async fn query_make_array_scalar() {
+    let ctx = SessionContext::new();
+
+    let sql = "SELECT make_array(1, 2, 3);";
+    let actual = execute_to_batches(&ctx, sql).await;
+    let expected = vec![
+        "+---------------------------------------+",
+        "| makearray(Int64(1),Int64(2),Int64(3)) |",
+        "+---------------------------------------+",
+        "| [1, 2, 3]                             |",
+        "+---------------------------------------+",
     ];
     assert_batches_eq!(expected, &actual);
-    Ok(())
 }
 
 #[tokio::test]

datafusion/expr/src/built_in_function.rs

@@ -71,9 +71,11 @@ pub enum BuiltinScalarFunction {
     /// trunc
     Trunc,
 
-    // string functions
+    // array functions
     /// construct an array from columns
-    Array,
+    MakeArray,
+
+    // string functions
     /// ascii
     Ascii,
     /// bit_length
@@ -204,7 +206,7 @@ impl BuiltinScalarFunction {
             BuiltinScalarFunction::Sqrt => Volatility::Immutable,
             BuiltinScalarFunction::Tan => Volatility::Immutable,
             BuiltinScalarFunction::Trunc => Volatility::Immutable,
-            BuiltinScalarFunction::Array => Volatility::Immutable,
+            BuiltinScalarFunction::MakeArray => Volatility::Immutable,
             BuiltinScalarFunction::Ascii => Volatility::Immutable,
             BuiltinScalarFunction::BitLength => Volatility::Immutable,
             BuiltinScalarFunction::Btrim => Volatility::Immutable,
@@ -297,8 +299,10 @@ impl FromStr for BuiltinScalarFunction {
             // conditional functions
             "coalesce" => BuiltinScalarFunction::Coalesce,
 
+            // array functions
+            "make_array" => BuiltinScalarFunction::MakeArray,
+
             // string functions
-            "array" => BuiltinScalarFunction::Array,
             "ascii" => BuiltinScalarFunction::Ascii,
             "bit_length" => BuiltinScalarFunction::BitLength,
             "btrim" => BuiltinScalarFunction::Btrim,

datafusion/expr/src/expr_fn.rs

@@ -382,9 +382,9 @@ scalar_expr!(FromUnixtime, from_unixtime, unixtime);
 unary_scalar_expr!(ArrowTypeof, arrow_typeof, "data type");
 
 /// Returns an array of fixed size with each argument on it.
-pub fn array(args: Vec<Expr>) -> Expr {
+pub fn make_array(args: Vec<Expr>) -> Expr {
     Expr::ScalarFunction {
-        fun: built_in_function::BuiltinScalarFunction::Array,
+        fun: built_in_function::BuiltinScalarFunction::MakeArray,
         args,
     }
 }

datafusion/expr/src/function.rs

@@ -21,8 +21,8 @@ use crate::nullif::SUPPORTED_NULLIF_TYPES;
 use crate::type_coercion::data_types;
 use crate::ColumnarValue;
 use crate::{
-    array_expressions, conditional_expressions, struct_expressions, Accumulator,
-    BuiltinScalarFunction, Signature, TypeSignature,
+    conditional_expressions, struct_expressions, Accumulator, BuiltinScalarFunction,
+    Signature, TypeSignature,
 };
 use arrow::datatypes::{DataType, Field, IntervalUnit, TimeUnit};
 use datafusion_common::{DataFusionError, Result};
@@ -96,7 +96,7 @@ pub fn return_type(
     // the return type of the built in function.
     // Some built-in functions' return type depends on the incoming type.
     match fun {
-        BuiltinScalarFunction::Array => Ok(DataType::FixedSizeList(
+        BuiltinScalarFunction::MakeArray => Ok(DataType::FixedSizeList(
             Box::new(Field::new("item", input_expr_types[0].clone(), true)),
             input_expr_types.len() as i32,
         )),
@@ -267,12 +267,8 @@ pub fn return_type(
 pub fn signature(fun: &BuiltinScalarFunction) -> Signature {
     // note: the physical expression must accept the type returned by this function or the execution panics.
 
-    // for now, the list is small, as we do not have many built-in functions.
     match fun {
-        BuiltinScalarFunction::Array => Signature::variadic(
-            array_expressions::SUPPORTED_ARRAY_TYPES.to_vec(),
-            fun.volatility(),
-        ),
+        BuiltinScalarFunction::MakeArray => Signature::variadic_equal(fun.volatility()),
         BuiltinScalarFunction::Struct => Signature::variadic(
             struct_expressions::SUPPORTED_STRUCT_TYPES.to_vec(),
             fun.volatility(),

datafusion/physical-expr/src/array_expressions.rs

@@ -34,7 +34,10 @@ macro_rules! downcast_vec {
     }};
 }
 
-macro_rules! array {
+/// Create an array of FixedSizeList from a set of individual Arrays
+/// where each element in the output FixedSizeList is the result of
+/// concatenating the corresponding values in the input Arrays
+macro_rules! make_fixed_size_list {
     ($ARGS:expr, $ARRAY_TYPE:ident, $BUILDER_TYPE:ident) => {{
         // downcast all arguments to their common format
         let args =
@@ -59,7 +62,7 @@ macro_rules! array {
     }};
 }
 
-fn array_array(args: &[ArrayRef]) -> Result<ArrayRef> {
+fn arrays_to_fixed_size_list_array(args: &[ArrayRef]) -> Result<ArrayRef> {
     // do not accept 0 arguments.
     if args.is_empty() {
         return Err(DataFusionError::Internal(
@@ -68,19 +71,21 @@ fn array_array(args: &[ArrayRef]) -> Result<ArrayRef> {
     }
 
     let res = match args[0].data_type() {
-        DataType::Utf8 => array!(args, StringArray, StringBuilder),
-        DataType::LargeUtf8 => array!(args, LargeStringArray, LargeStringBuilder),
-        DataType::Boolean => array!(args, BooleanArray, BooleanBuilder),
-        DataType::Float32 => array!(args, Float32Array, Float32Builder),
-        DataType::Float64 => array!(args, Float64Array, Float64Builder),
-        DataType::Int8 => array!(args, Int8Array, Int8Builder),
-        DataType::Int16 => array!(args, Int16Array, Int16Builder),
-        DataType::Int32 => array!(args, Int32Array, Int32Builder),
-        DataType::Int64 => array!(args, Int64Array, Int64Builder),
-        DataType::UInt8 => array!(args, UInt8Array, UInt8Builder),
-        DataType::UInt16 => array!(args, UInt16Array, UInt16Builder),
-        DataType::UInt32 => array!(args, UInt32Array, UInt32Builder),
-        DataType::UInt64 => array!(args, UInt64Array, UInt64Builder),
+        DataType::Utf8 => make_fixed_size_list!(args, StringArray, StringBuilder),
+        DataType::LargeUtf8 => {
+            make_fixed_size_list!(args, LargeStringArray, LargeStringBuilder)
+        }
+        DataType::Boolean => make_fixed_size_list!(args, BooleanArray, BooleanBuilder),
+        DataType::Float32 => make_fixed_size_list!(args, Float32Array, Float32Builder),
+        DataType::Float64 => make_fixed_size_list!(args, Float64Array, Float64Builder),
+        DataType::Int8 => make_fixed_size_list!(args, Int8Array, Int8Builder),
+        DataType::Int16 => make_fixed_size_list!(args, Int16Array, Int16Builder),
+        DataType::Int32 => make_fixed_size_list!(args, Int32Array, Int32Builder),
+        DataType::Int64 => make_fixed_size_list!(args, Int64Array, Int64Builder),
+        DataType::UInt8 => make_fixed_size_list!(args, UInt8Array, UInt8Builder),
+        DataType::UInt16 => make_fixed_size_list!(args, UInt16Array, UInt16Builder),
+        DataType::UInt32 => make_fixed_size_list!(args, UInt32Array, UInt32Builder),
+        DataType::UInt64 => make_fixed_size_list!(args, UInt64Array, UInt64Builder),
         data_type => {
             return Err(DataFusionError::NotImplemented(format!(
                 "Array is not implemented for type '{:?}'.",
@@ -92,13 +97,15 @@ fn array_array(args: &[ArrayRef]) -> Result<ArrayRef> {
 }
 
 /// put values in an array.
-pub fn array(values: &[ColumnarValue]) -> Result<ColumnarValue> {
+pub fn make_array(values: &[ColumnarValue]) -> Result<ColumnarValue> {
     let arrays: Vec<ArrayRef> = values
         .iter()
         .map(|x| match x {
             ColumnarValue::Array(array) => array.clone(),
             ColumnarValue::Scalar(scalar) => scalar.to_array().clone(),
         })
         .collect();
-    Ok(ColumnarValue::Array(array_array(arrays.as_slice())?))
+    Ok(ColumnarValue::Array(arrays_to_fixed_size_list_array(
+        arrays.as_slice(),
+    )?))
 }