ganeshashree commented on code in PR #58034: URL: https://github.com/apache/spark/pull/58034#discussion_r4183448447
########## sql/core/src/test/scala/org/apache/spark/sql/JsonObjectSuite.scala: ########## @@ -0,0 +1,1022 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one or more + * contributor license agreements. See the NOTICE file distributed with + * this work for additional information regarding copyright ownership. + * The ASF licenses this file to You under the Apache License, Version 2.0 + * (the "License"); you may not use this file except in compliance with + * the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package org.apache.spark.sql + +import org.apache.spark.SparkRuntimeException +import org.apache.spark.sql.catalyst.analysis.Star +import org.apache.spark.sql.catalyst.analysis.TypeCheckResult.DataTypeMismatch +import org.apache.spark.sql.catalyst.expressions.{Cast, Collate, JsonConstructorNullBehavior, JsonImplicitFormatCarrier, JsonObjectExpr, Literal} +import org.apache.spark.sql.catalyst.parser.ParseException +import org.apache.spark.sql.internal.SQLConf +import org.apache.spark.sql.test.SharedSparkSession +import org.apache.spark.sql.types.{CharType, GeometryType, IntegerType, MapType, StringType, VarcharType} + +/** + * End-to-end tests for the SQL:2016 `JSON_OBJECT` constructor function. + */ +class JsonObjectSuite extends QueryTest with SharedSparkSession { + import testImplicits._ + + test("in the comma form, colon-bearing arguments bind as colon members (documented precedence)") { + // `JSON_OBJECT(a:b, c:d)` matches both list forms: the colon-member list and the comma + // (MySQL-compat) list. The colon-member alternative is declared first, so it wins -- `a:b, c:d` + // reads as the two members (a -> b) and (c -> d), the SQL-standard `key : value` reading, not + // as a single comma-form pair whose key and value are `:`-extractions. + checkAnswer( + sql("SELECT json_object(a:b, c:d) FROM VALUES ('k1','v1','k2','v2') t(a,b,c,d)"), + Row("""{"k1":"v1","k2":"v2"}""")) + // Parenthesizing each argument forces the comma form (one member whose key/value are the + // `:`-extractions). The non-VARIANT extraction target then errors -- proving it parsed as one + // comma-form pair, not two colon members (which resolve cleanly above). + val e = intercept[AnalysisException] { + sql("SELECT json_object((a:b), (c:d)) FROM VALUES ('k1','v1','k2','v2') t(a,b,c,d)").collect() + } + assert(e.getCondition == "COLUMN_IS_NOT_VARIANT_TYPE") + } + + test("basic object from key-value pairs using VALUE keyword") { + checkAnswer( + sql("SELECT json_object('id' VALUE 7, 'name' VALUE 'Ada')"), + Row("""{"id":7,"name":"Ada"}""")) + } + + test("construct object using optional KEY keyword") { + checkAnswer( + sql("SELECT json_object(KEY 'id' VALUE 7, KEY 'name' VALUE 'Ada')"), + Row("""{"id":7,"name":"Ada"}""")) + } + + test("construct object using colon syntax") { + checkAnswer( + sql("SELECT json_object('id': 7, 'name': 'Ada')"), + Row("""{"id":7,"name":"Ada"}""")) + } + + test("colon member with a column-valued value") { + // The `key : value` member overlaps the semi-structured extraction form `expr : path` + // (`primaryExpression COLON semiStructuredExtractionPath`), which also accepts a bare + // identifier on the right. Confirm a column-valued colon member still parses as a JSON_OBJECT + // pair rather than as `'k' : v` semi-structured extraction. + checkAnswer( + sql("SELECT json_object('k': v) FROM VALUES ('x') t(v)"), + Row("""{"k":"x"}""")) + } + + test("construct object using comma-separated key-value syntax") { + checkAnswer( + sql("SELECT json_object('id', 7, 'name', 'Ada')"), + Row("""{"id":7,"name":"Ada"}""")) + } + + test("an odd number of arguments in the comma syntax is rejected") { + // The comma form requires paired key/value arguments; a dangling key ('name') has no value. + // JSON_OBJECT is a non-reserved keyword, so when the constructor grammar cannot match, the call + // parses as an ordinary function call and routes to the registered built-in, whose builder + // rejects the odd argument count rather than silently dropping the dangling key. + val e = intercept[AnalysisException] { + sql("SELECT json_object('id', 7, 'name')") + } + assert(e.getCondition == "WRONG_NUM_ARGS.WITHOUT_SUGGESTION") + } + + test("mixing the VALUE/colon form and the comma form is a parse error") { + // The two member-list styles are mutually exclusive grammar alternatives, so a single + // constructor cannot mix `key VALUE value` (or `key : value`) members with `key, value` ones. + Seq( + "SELECT json_object('a', 1, 'b' VALUE 2)", + "SELECT json_object('a' VALUE 1, 'b', 2)", + "SELECT json_object('a' : 1, 'b', 2)").foreach { query => + intercept[ParseException](sql(query)) + } + } + + test("construct object with NULL values (default NULL ON NULL)") { + checkAnswer( + sql("SELECT json_object('id': 7, 'v': NULL)"), + Row("""{"id":7,"v":null}""")) + } + + test("construct object with explicit NULL ON NULL") { + checkAnswer( + sql("SELECT json_object('id', 7, 'v', NULL NULL ON NULL)"), + Row("""{"id":7,"v":null}""")) + } + + test("construct object with NULL values and ABSENT ON NULL") { + checkAnswer( + sql("SELECT json_object('id': 7, 'v': NULL ABSENT ON NULL)"), + Row("""{"id":7}""")) + } + + test("construct empty object") { + checkAnswer( + sql("SELECT json_object()"), + Row("{}")) + } + + test("construct object with mixed scalar types") { + checkAnswer( + sql("""SELECT json_object('int': 42, 'str': 'hello', 'bool': true, + 'float': 3.14)"""), + Row("""{"int":42,"str":"hello","bool":true,"float":3.14}""")) + } + + test("construct object with decimal type via Jackson") { + checkAnswer( + sql("""SELECT json_object('d' VALUE CAST('123.45' AS DECIMAL(5,2)))"""), + Row("""{"d":123.45}""")) + } + + test("construct object with DATE type via Jackson") { + checkAnswer( + sql("""SELECT json_object('d' VALUE DATE'2020-01-02')"""), + Row("""{"d":"2020-01-02"}""")) + } + + test("construct object with TIMESTAMP type via Jackson") { + // Note: Jackson includes timezone offset when session timezone is set + checkAnswer( + sql("""SELECT json_object('ts' VALUE TIMESTAMP'2020-01-02 10:30:00')"""), + Row("""{"ts":"2020-01-02T10:30:00.000-08:00"}""")) + } + + test("struct value renders like to_json") { + // A struct value must render exactly like `to_json` of the equivalent member. + checkAnswer( + sql("SELECT json_object('s' VALUE named_struct('a', 1, 'b', 'x'))"), + Row("""{"s":{"a":1,"b":"x"}}""")) + checkAnswer( + sql("SELECT json_object('s' VALUE named_struct('a', 1, 'b', 'x'))"), + sql("SELECT to_json(named_struct('s', named_struct('a', 1, 'b', 'x')))")) + } + + test("array value renders like to_json") { + checkAnswer( + sql("SELECT json_object('a' VALUE array(1, 2, 3))"), + Row("""{"a":[1,2,3]}""")) + checkAnswer( + sql("SELECT json_object('a' VALUE array(1, 2, 3))"), + sql("SELECT to_json(named_struct('a', array(1, 2, 3)))")) + } + + test("map value renders like to_json") { + checkAnswer( + sql("SELECT json_object('m' VALUE map('x', 1, 'y', 2))"), + Row("""{"m":{"x":1,"y":2}}""")) + checkAnswer( + sql("SELECT json_object('m' VALUE map('x', 1, 'y', 2))"), + sql("SELECT to_json(named_struct('m', map('x', 1, 'y', 2)))")) + } + + test("nested complex value combining struct, array and map renders like to_json") { + val value = "named_struct('arr', array(1, 2), 'm', map('k', named_struct('n', 3)))" + checkAnswer( + sql(s"SELECT json_object('c' VALUE $value)"), + sql(s"SELECT to_json(named_struct('c', $value))")) + } + + test("struct value honors spark.sql.jsonGenerator.ignoreNullFields like to_json") { + // `ON NULL` controls only top-level members; a null field *inside* a struct value follows + // spark.sql.jsonGenerator.ignoreNullFields, like `to_json`. + val value = "named_struct('a', 1, 'b', CAST(NULL AS INT))" + Seq("true", "false").foreach { ignore => + withSQLConf(SQLConf.JSON_GENERATOR_IGNORE_NULL_FIELDS.key -> ignore) { + checkAnswer( + sql(s"SELECT json_object('s' VALUE $value)"), + sql(s"SELECT to_json(named_struct('s', $value))")) + } + } + withSQLConf(SQLConf.JSON_GENERATOR_IGNORE_NULL_FIELDS.key -> "false") { + checkAnswer(sql(s"SELECT json_object('s' VALUE $value)"), Row("""{"s":{"a":1,"b":null}}""")) + } + withSQLConf(SQLConf.JSON_GENERATOR_IGNORE_NULL_FIELDS.key -> "true") { + checkAnswer(sql(s"SELECT json_object('s' VALUE $value)"), Row("""{"s":{"a":1}}""")) + } + } + + test("top-level ON NULL and struct-internal ignoreNullFields are independent") { + // With NULL ON NULL (default) and ignoreNullFields=true, a top-level NULL member is kept as + // `null` while a null field inside a struct value is dropped. + withSQLConf(SQLConf.JSON_GENERATOR_IGNORE_NULL_FIELDS.key -> "true") { + checkAnswer( + sql("""SELECT json_object('top' VALUE CAST(NULL AS INT), + 's' VALUE named_struct('a', 1, 'b', CAST(NULL AS INT)))"""), + Row("""{"top":null,"s":{"a":1}}""")) + } + } + + test("string escaping in keys") { + checkAnswer( + sql("""SELECT json_object('key"with"quotes' VALUE 1)"""), + Row("""{"key\"with\"quotes":1}""")) + } + + // For scalar string values JSON_OBJECT must escape exactly like to_json of the equivalent + // struct (both go through the same Jackson generator); assert that equivalence rather than + // hand-encoding the escaping, which is easy to get wrong across Scala/SQL/JSON layers. + test("string escaping in values matches to_json") { + checkAnswer( + sql("""SELECT json_object('msg' VALUE 'hello +world')"""), + sql("""SELECT to_json(named_struct('msg', 'hello +world'))""")) + } + + test("string escaping with backslash matches to_json") { + checkAnswer( + sql("""SELECT json_object('path' VALUE 'c:\windows')"""), + sql("""SELECT to_json(named_struct('path', 'c:\windows'))""")) + } + + test("nested JSON_OBJECT spliced raw") { + checkAnswer( + sql("""SELECT json_object('a' VALUE json_object('b' VALUE 1))"""), + Row("""{"a":{"b":1}}""")) + checkAnswer( + sql("""SELECT json_object('a', json_object('b', 1))"""), + Row("""{"a":{"b":1}}""")) + } + + test("nested JSON_OBJECT with multiple levels") { + checkAnswer( + sql("""SELECT json_object('outer' VALUE + json_object('inner' VALUE 42, 'name' VALUE 'test'))"""), + Row("""{"outer":{"inner":42,"name":"test"}}""")) + } + + test("a nested JSON_ARRAY value is spliced raw") { + checkAnswer( + sql("SELECT json_object('a' VALUE json_array(1, 2))"), + Row("""{"a":[1,2]}""")) + } + + test("JSON_OBJECT nested directly in JSON_ARRAY is spliced as an object element") { + // The inverse nesting direction: a JSON_OBJECT in a JSON_ARRAY element position stays on the + // direct grammar path (JsonArrayValueContext), so it is spliced as a JSON object rather than + // routed through resolution and emitted as a quoted string. + checkAnswer( + sql("SELECT json_array(json_object('a', 1), json_object('b', 2))"), + Row("""[{"a":1},{"b":2}]""")) + } + + test("a nested JSON_QUERY value is spliced under KEEP QUOTES and quoted under OMIT QUOTES") { + // JSON_QUERY emits JSON text under the default KEEP QUOTES, so a lexically nested JSON_QUERY is + // spliced raw: the matched object is {"x":1}, not the quoted string "{\"x\":1}". + checkAnswer( + sql("""SELECT json_object('a' VALUE json_query('{"o":{"x":1}}', '$.o'))"""), + Row("""{"a":{"x":1}}""")) + // OMIT QUOTES returns the matched scalar string's decoded content (Ada, not "Ada") -- an + // ordinary string -- so it takes the quoted path (emitsImplicitJsonText is false), never the + // invalid splice {"a":Ada}. + checkAnswer( + sql("""SELECT json_object('a' VALUE json_query('{"n":"Ada"}', '$.n' OMIT QUOTES))"""), + Row("""{"a":"Ada"}""")) + } + + test("null key error") { + val e = intercept[SparkRuntimeException] { + sql("SELECT json_object(NULL VALUE 'value')").collect() + } + // Assert the structured error contract, not just the message text. + assert(e.getCondition == "JSON_OBJECT_NULL_KEY") + assert(e.getSqlState == "2200E") + } + + test("a null key is validated before a null value is omitted under ABSENT ON NULL") { + // ABSENT ON NULL omits members with a null value, but the key is validated first, so a null key + // still raises JSON_OBJECT_NULL_KEY rather than being silently dropped along with the member. + val e = intercept[SparkRuntimeException] { + sql("SELECT json_object(NULL VALUE NULL ABSENT ON NULL)").collect() + } + assert(e.getCondition == "JSON_OBJECT_NULL_KEY") + assert(e.getSqlState == "2200E") + } + + test("non-foldable key and value expressions") { + val df = Seq(("key1", "val1"), ("key2", "val2")).toDF("k", "v") + checkAnswer( + df.selectExpr("json_object(k VALUE v)"), + Seq(Row("""{"key1":"val1"}"""), Row("""{"key2":"val2"}"""))) + } + + test("non-foldable with NULL value and NULL ON NULL") { + val df = Seq(("k", null), ("key", "val")).toDF("k", "v") + checkAnswer( + df.selectExpr("json_object(k VALUE v)"), + Seq(Row("""{"k":null}"""), Row("""{"key":"val"}"""))) + } + + test("non-foldable with NULL value and ABSENT ON NULL") { + val df = Seq(("k", null), ("key", "val")).toDF("k", "v") + checkAnswer( + df.selectExpr("json_object(k VALUE v ABSENT ON NULL)"), + Seq(Row("{}"), Row("""{"key":"val"}"""))) + } + + test("multiple keys with ABSENT ON NULL") { + checkAnswer( + sql("""SELECT json_object('a' VALUE 1, 'b' VALUE NULL, 'c' VALUE 3 + ABSENT ON NULL)"""), + Row("""{"a":1,"c":3}""")) + } + + test("duplicate keys are emitted in source order") { + checkAnswer( + sql("SELECT json_object('k' VALUE 1, 'k' VALUE 2)"), + Row("""{"k":1,"k":2}""")) + } + + test("non-string key type is rejected at analysis, not at execution") { + val ex = intercept[AnalysisException] { + sql("SELECT json_object(1 VALUE 'x')") + } + assert(ex.getMessage.contains("UNEXPECTED_INPUT_TYPE")) + } + + test("non-string key type reports the actual key argument") { + val ex = intercept[AnalysisException] { + sql("SELECT json_object('ok' VALUE 1, 2 VALUE 'bad')") + } + checkError( + exception = ex, + condition = "DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE", + sqlState = Some("42K09"), + parameters = Map( + "sqlExpr" -> "\"JSON_OBJECT(ok VALUE 1, 2 VALUE bad)\"", + "paramIndex" -> "third", + "requiredType" -> "\"STRING\"", + "inputSql" -> "\"2\"", + "inputType" -> "\"INT\""), + queryContext = Array(ExpectedContext("json_object('ok' VALUE 1, 2 VALUE 'bad')", 7, 46))) + } + + test("collated STRING RETURNING is accepted") { + // isValidReturningType must accept any StringType instance, not just the default collation. + checkAnswer( + sql("SELECT json_object('a' VALUE 1 RETURNING STRING COLLATE UTF8_LCASE)"), + Row("""{"a":1}""")) + } + + test("an invalid RETURNING type is reported under DATATYPE_MISMATCH") { + // The error is emitted as a DataTypeMismatch, so its condition must resolve under + // DATATYPE_MISMATCH -- not as a top-level INVALID_JSON_RETURNING_TYPE class. + val e = intercept[AnalysisException] { + sql("SELECT json_object('a' VALUE 1 RETURNING INT)").collect() + } + assert(e.getCondition == "DATATYPE_MISMATCH.INVALID_JSON_RETURNING_TYPE") + } + + test("a directly-constructed JsonObjectExpr with a CHAR/VARCHAR RETURNING is rejected") { + // The parser normalizes CHAR/VARCHAR RETURNING to STRING, but a raw CharType/VarcharType from + // direct Catalyst construction would advertise a length JSON_OBJECT does not enforce. + Seq(VarcharType(2), CharType(2)).foreach { returning => + val expr = JsonObjectExpr( + Seq((Literal("k"), Literal(1))), Seq(false), Seq(false), + JsonConstructorNullBehavior.Null, returning) + expr.checkInputDataTypes() match { + case DataTypeMismatch(errorSubClass, _) => + assert(errorSubClass == "INVALID_JSON_RETURNING_TYPE", s"for $returning") + case other => fail(s"expected DataTypeMismatch for $returning, got $other") + } + } + } + + test("value accepts an unparenthesized predicate expression") { + // valueExpr is parsed as a full `expression`, so ordinary predicates work without parentheses. + checkAnswer(sql("SELECT json_object('isnull' VALUE 1 IS NULL)"), Row("""{"isnull":false}""")) + checkAnswer(sql("SELECT json_object('gt' : 2 > 1)"), Row("""{"gt":true}""")) + } + + test("widening the value to expression does not change documented forms") { + // Design-doc examples where a value abuts the ON NULL / RETURNING keywords must still parse and + // evaluate identically after widening valueExpression -> expression. + checkAnswer(sql("SELECT json_object('id': 7, 'v': NULL)"), Row("""{"id":7,"v":null}""")) + checkAnswer( + sql("SELECT json_object('id': 7, 'v': NULL ABSENT ON NULL)"), Row("""{"id":7}""")) + checkAnswer( + sql("SELECT json_object('id', 7, 'v', NULL ABSENT ON NULL)"), Row("""{"id":7}""")) + checkAnswer( + sql("SELECT json_object('id' VALUE 7, 'name' VALUE 'Ada')"), + Row("""{"id":7,"name":"Ada"}""")) + } + + test("an unsupported value type is rejected at analysis") { + // A spatial value: JacksonUtils.verifyType accepts it (it is an AtomicType) but + // JacksonGenerator cannot serialize it, so JSON_OBJECT must reject it up front, not at runtime. + val bad = JsonObjectExpr( + Seq((Literal("k"), Literal.create(null, GeometryType(4326)))), + Seq(false), Seq(false), JsonConstructorNullBehavior.Null, StringType) + bad.checkInputDataTypes() match { + case DataTypeMismatch(sub, _) => assert(sub == "CANNOT_CONVERT_TO_JSON") + case other => fail(s"expected DataTypeMismatch, got $other") + } + // A spatial type nested as a MAP VALUE must still be rejected: the guard descends recursively + // into map values (unlike the top-level atomic case above), so this exercises that descent. + val badNested = JsonObjectExpr( + Seq((Literal("k"), Literal.create(null, MapType(StringType, GeometryType(4326))))), + Seq(false), Seq(false), JsonConstructorNullBehavior.Null, StringType) + badNested.checkInputDataTypes() match { + case DataTypeMismatch(sub, _) => assert(sub == "CANNOT_CONVERT_TO_JSON") + case other => fail(s"expected DataTypeMismatch for a nested spatial value, got $other") + } + // A spatial type appearing only as a MAP KEY is fine: JacksonGenerator writes map keys via + // toString, so the value-type guard must not over-reject it. + val ok = JsonObjectExpr( + Seq((Literal("k"), Literal.create(null, MapType(GeometryType(4326), IntegerType)))), + Seq(false), Seq(false), JsonConstructorNullBehavior.Null, StringType) + assert(ok.checkInputDataTypes().isSuccess) + } + + test("a raw (FORMAT JSON) value that is not a string is rejected") { + // A raw-spliced value must carry JSON text (string); a non-string raw value would fail with a + // ClassCastException at eval, so reject it at analysis with the FORMAT JSON input error. + val expr = JsonObjectExpr( + Seq((Literal("k"), Literal(1))), Seq(true), Seq(true), + JsonConstructorNullBehavior.Null, StringType) + expr.checkInputDataTypes() match { + case DataTypeMismatch(sub, _) => assert(sub == "INVALID_JSON_FORMAT_JSON_INPUT") + case other => fail(s"expected DataTypeMismatch, got $other") + } + } + + test("SQL renders an explicit collated RETURNING and an explicit ON NULL clause") { + val collated = JsonObjectExpr( + Seq((Literal("k"), Literal(1))), Seq(false), Seq(false), JsonConstructorNullBehavior.Null, + StringType("UTF8_LCASE")) + assert(collated.sql.contains("RETURNING STRING COLLATE UTF8_LCASE")) + // .sql always renders an explicit ON NULL clause so reparse stays on the direct grammar path. + val default = JsonObjectExpr( + Seq((Literal("k"), Literal(1))), Seq(false), Seq(false), + JsonConstructorNullBehavior.Null, StringType) + assert(default.sql == "JSON_OBJECT('k' VALUE 1 NULL ON NULL)") + } + + test("SQL renders a raw nested value spliced back to raw even after collation wrapping") { + val inner = JsonObjectExpr( + Seq((Literal("b"), Literal(1))), Seq(false), Seq(false), + JsonConstructorNullBehavior.Null, StringType) + // Simulate the default-collation rule wrapping the raw nested value in a Cast. rawJson stays + // frozen true; the Cast hides the bare constructor, so .sql renders an explicit FORMAT JSON so + // reparse splices it raw. + val wrapped = JsonObjectExpr( + Seq((Literal("a"), Cast(inner, StringType("UTF8_LCASE")))), Seq(true), Seq(false), + JsonConstructorNullBehavior.Null, StringType) + assert(wrapped.sql.contains("FORMAT JSON")) + checkAnswer(sql(s"SELECT ${wrapped.sql}"), Row("""{"a":{"b":1}}""")) + } + + test("emitted SQL reparses and evaluates with raw-vs-quoted semantics preserved") { + // The .sql renderings above are round-trip contracts: reparsing and evaluating them must + // reproduce the original raw-vs-quoted splicing. + // A raw nested value renders as a bare constructor and reparses back to raw splicing. + checkAnswer( + sql("SELECT JSON_OBJECT('a' VALUE JSON_OBJECT('b' VALUE 1))"), Row("""{"a":{"b":1}}""")) + // A quoted value that the optimizer inlined as an implicit-JSON expression is neutralized with + // CAST(... AS STRING); reparsing must keep it quoted rather than splicing it raw. + val inner = JsonObjectExpr( + Seq((Literal("b"), Literal(1))), Seq(false), Seq(false), + JsonConstructorNullBehavior.Null, StringType) + val quoted = JsonObjectExpr( + Seq((Literal("a"), inner)), Seq(false), Seq(false), + JsonConstructorNullBehavior.Null, StringType) + assert(quoted.sql == + "JSON_OBJECT('a' VALUE CAST(JSON_OBJECT('b' VALUE 1 NULL ON NULL) AS STRING) NULL ON NULL)") + checkAnswer(sql(s"SELECT ${quoted.sql}"), Row("""{"a":"{\"b\":1}"}""")) + } + + test("generated column names omit the synthetic NULL ON NULL ownership clause") { + // Canonical `.sql` appends a default NULL ON NULL so a clause-free call reparses to the builtin + // (see the shadowing test), but that marker is never reparsed for display. Unaliased column + // names must therefore not expose ownership text the user never wrote; a non-default + // ABSENT ON NULL the user did write is kept. + def colName(q: String): String = sql(q).schema.head.name + assert(colName("SELECT json_object()") == "JSON_OBJECT()") + assert(colName("SELECT json_object('id' VALUE 7)") == "JSON_OBJECT(id VALUE 7)") + assert(colName("SELECT json_object('id', 7)") == "JSON_OBJECT(id VALUE 7)") + assert(colName("SELECT json_object('a' VALUE json_object('b' VALUE 1))") == + "JSON_OBJECT(a VALUE JSON_OBJECT(b VALUE 1))") + assert(colName("SELECT json_object('v' VALUE NULL ABSENT ON NULL)") == + "JSON_OBJECT(v VALUE NULL ABSENT ON NULL)") + } + + test("ABSENT ON NULL round-trips through .sql keeping null members omitted") { + // The ABSENT renderer arm must emit `ABSENT ON NULL` (not the default clause and not nothing), + // so a canonical round trip keeps dropping null-valued members rather than retaining them. + val absent = JsonObjectExpr( + Seq((Literal("a"), Literal(1)), (Literal("b"), Literal.create(null, IntegerType))), + Seq(false, false), Seq(false, false), JsonConstructorNullBehavior.Absent, StringType) + assert(absent.sql == "JSON_OBJECT('a' VALUE 1, 'b' VALUE CAST(NULL AS INT) ABSENT ON NULL)") + checkAnswer(sql(s"SELECT ${absent.sql}"), Row("""{"a":1}""")) + } + + test("JSON_OBJECT is not foldable") { + // Folding a constant JSON_OBJECT would surface a null-key error at optimization even for rows a + // filter/join drops, so it stays non-foldable. + assert(!JsonObjectExpr( + Seq((Literal("k"), Literal(1))), Seq(false), Seq(false), + JsonConstructorNullBehavior.Null, StringType).foldable) + } + + test("a null key raises JSON_OBJECT_NULL_KEY before the value is evaluated") { + // The key is checked before the value is evaluated, so a null key wins deterministically even + // when the value expression would itself throw. + // `raise_error(k)` references the column so it is neither foldable nor evaluated before the + // key null-check; if the value ran first the error would come from `raise_error`, not the key. + val e = intercept[SparkRuntimeException] { + sql("SELECT json_object(k VALUE raise_error(k)) " + + "FROM VALUES (CAST(NULL AS STRING)) t(k)").collect() + } + assert(e.getCondition == "JSON_OBJECT_NULL_KEY") + assert(e.getSqlState == "2200E") + } + + test("a foldable literal key is rendered once and reused across rows") { + // JSON_OBJECT caches the rendered name of a foldable non-null key; the same key must still be + // emitted for every row. + checkAnswer( + sql("SELECT json_object('id' VALUE a) FROM VALUES (1), (2) t(a)"), + Seq(Row("""{"id":1}"""), Row("""{"id":2}"""))) + // A foldable key that evaluates to null is not cached: it must still raise JSON_OBJECT_NULL_KEY + // per row rather than being silently skipped. + Seq("NULL", "CAST(NULL AS STRING)").foreach { k => + val e = intercept[SparkRuntimeException] { + sql(s"SELECT json_object($k VALUE 1)").collect() + } + assert(e.getCondition == "JSON_OBJECT_NULL_KEY", s"for key $k") + assert(e.getSqlState == "2200E", s"for key $k") + } + } + + test("CHAR/VARCHAR RETURNING is normalized to STRING regardless of preserveCharVarcharTypeInfo") { + Seq("CHAR(2)", "VARCHAR(2)").foreach { returning => + Seq("true", "false").foreach { preserve => + withSQLConf(SQLConf.PRESERVE_CHAR_VARCHAR_TYPE_INFO.key -> preserve) { + assert( + sql(s"SELECT json_object('k' VALUE 1 RETURNING $returning)").schema.head.dataType + === StringType, + s"for RETURNING $returning, preserveCharVarcharTypeInfo=$preserve") + } + } + } + } + + test("object default collation applies only when RETURNING is not explicitly collated") { + withSQLConf(SQLConf.OBJECT_LEVEL_COLLATIONS_ENABLED.key -> "true") { + withTable("t") { + sql( + """CREATE TABLE t DEFAULT COLLATION UTF8_LCASE AS + |SELECT json_object('k' VALUE 1) AS a, + | json_object('k' VALUE 1 RETURNING STRING COLLATE UTF8_BINARY) AS b""".stripMargin) + val schema = spark.table("t").schema + // Omitted RETURNING (default STRING) follows the table's default collation. + assert(schema("a").dataType === StringType("UTF8_LCASE")) + // Explicit RETURNING ... COLLATE is the user's choice and must not be overwritten. + assert(schema("b").dataType === StringType("UTF8_BINARY")) + } + } + } + + test("default collation recurses into a nested JSON_OBJECT value") { + // The rule casts each DefaultStringProducingExpression, recursing through a nested constructor + // (the flat cases above only cover a top-level constructor). This CTAS runs the default + // analyzer (single-pass included). Confirm the schema collation and that raw splicing still + // produces well-formed nested JSON at runtime. + withSQLConf(SQLConf.OBJECT_LEVEL_COLLATIONS_ENABLED.key -> "true") { + withTable("t") { + sql( + """CREATE TABLE t DEFAULT COLLATION UTF8_LCASE AS + |SELECT json_object('a' VALUE json_object('b' VALUE 1)) AS a""".stripMargin) + assert(spark.table("t").schema("a").dataType === StringType("UTF8_LCASE")) + checkAnswer(spark.table("t"), Row("""{"a":{"b":1}}""")) + } + } + } + + test("view default collation preserves an explicit collated RETURNING") { + // Exercises the CREATE VIEW resolution path (in addition to the CTAS path above): the explicit + // RETURNING collation must survive the view's default collation. Runs under dual-run (the + // default) so the single-pass resolver's view re-resolution is exercised for parity. + withSQLConf(SQLConf.OBJECT_LEVEL_COLLATIONS_ENABLED.key -> "true") { + withView("v") { + sql( + """CREATE VIEW v DEFAULT COLLATION UTF8_LCASE AS + |SELECT json_object('k' VALUE 1) AS a, + | json_object('k' VALUE 1 RETURNING STRING COLLATE UTF8_BINARY) AS b""".stripMargin) + val schema = spark.table("v").schema + assert(schema("a").dataType === StringType("UTF8_LCASE")) + assert(schema("b").dataType === StringType("UTF8_BINARY")) + } + } + } + + test("reports nullable to keep NullPropagation from skipping the null-key check") { + // The value is never null, but JSON_OBJECT is throwable (a null key raises at eval), so it must + // report nullable: were it non-nullable, `NullPropagation` would fold `IS [NOT] NULL` and + // `count(...)` away and skip the eval that must raise JSON_OBJECT_NULL_KEY (see below). + assert(JsonObjectExpr( + Seq((Literal("k"), Literal.create(null, IntegerType))), Seq(false), Seq(false), + JsonConstructorNullBehavior.Null, StringType).nullable) + assert(sql("SELECT json_object('id' VALUE a) FROM VALUES (1), (2) t(a)") + .schema.head.nullable) + } + + test("IS NOT NULL and count still raise a null-key error") { + // NullPropagation must not rewrite these to a constant / `count(1)` and skip evaluation, which + // would swallow the null-key error on the null-key row. + Seq( + "SELECT json_object(k VALUE 1) IS NOT NULL FROM VALUES ('a'), (NULL) t(k)", + "SELECT count(json_object(k VALUE 1)) FROM VALUES ('a'), (NULL) t(k)").foreach { query => + val e = intercept[SparkRuntimeException](sql(query).collect()) + assert(e.getCondition == "JSON_OBJECT_NULL_KEY") + } + } + + test("is marked throwable so the optimizer will not push it below a filtering join") { + // JSON_OBJECT throws on a null key at runtime, so throwable must be true even when its children + // are not themselves throwable. + val e = JsonObjectExpr( + Seq((Literal("k"), Literal(1))), Seq(false), Seq(false), + JsonConstructorNullBehavior.Null, StringType) + assert(e.throwable) + } + + test("throwable keeps a null-key predicate above a filtering join") { + // The optimizer must not push a throwable predicate below the join (PushPredicateThroughJoin + // only pushes non-throwable conditions), so a null-key row the join eliminates is never + // evaluated and does not throw. Were the constructor not throwable, the predicate would push to + // the probe side and throw on the eliminated row. The predicate is a throwable comparison + // (`json_object(...) = literal`) that exercises the pushdown path. + withTempView("t", "u") { + Seq((1, "k1"), (2, null)).toDF("id", "k").createOrReplaceTempView("t") + Seq(1).toDF("id").createOrReplaceTempView("u") + // id=2 has a null key but does not join u, so it is dropped first (the predicate stays above + // the join, so the constructor is never evaluated on the eliminated row). + checkAnswer( + sql("""SELECT t.id FROM t JOIN u ON t.id = u.id + |WHERE json_object(t.k VALUE 1) = '{"k1":1}'""".stripMargin), + Row(1)) + // With the null-key row surviving the join, evaluation still throws. + Seq(2).toDF("id").createOrReplaceTempView("u") + val e = intercept[SparkRuntimeException] { + sql("""SELECT t.id FROM t JOIN u ON t.id = u.id + |WHERE json_object(t.k VALUE 1) = '{"k1":1}'""".stripMargin).collect() + } + assert(e.getCondition == "JSON_OBJECT_NULL_KEY") + } + } + + test("raw splicing is decided from the source, not the optimized plan shape") { + // A directly-nested JSON_OBJECT carries implicit FORMAT JSON and is spliced raw. + checkAnswer( + sql("SELECT json_object('a' VALUE json_object('b' VALUE 1))"), + Row("""{"a":{"b":1}}""")) + // But a JSON_OBJECT result surfaced as a column is a plain STRING and must stay quoted -- even + // though CollapseProject may inline the inner JSON_OBJECT into the outer value position. The + // decision is frozen from the lexical argument at parse time, so the result stays + // {"a":"{\"b\":1}"}, never {"a":{"b":1}}. + val inlined = + sql("SELECT json_object('a' VALUE o) AS r FROM (SELECT json_object('b' VALUE 1) AS o) t") + checkAnswer(inlined, Row("""{"a":"{\"b\":1}"}""")) + // Referencing the alias twice blocks CollapseProject from inlining it; the result is identical, + // confirming independence from plan shape. + val notInlined = + sql("SELECT json_object('a' VALUE o) AS r, o FROM (SELECT json_object('b' VALUE 1) AS o) t") + checkAnswer(notInlined, Row("""{"a":"{\"b\":1}"}""", """{"b":1}""")) + } + + test("COLLATE on a nested JSON_OBJECT value still splices it raw") { + // COLLATE is a pass-through wrapper (collation metadata only), so a nested constructor under + // COLLATE is still spliced raw -- a no-op-looking annotation must not flip it to a quoted + // string, and the COLLATE form must agree with the bare form. + Seq("UTF8_BINARY", "UTF8_LCASE").foreach { collation => + checkAnswer( + sql(s"SELECT json_object('a' VALUE json_object('b' VALUE 1) COLLATE $collation)"), + Row("""{"a":{"b":1}}""")) + } + checkAnswer( + sql("SELECT json_object('a' VALUE json_object('b' VALUE 1) COLLATE UTF8_BINARY)"), + sql("SELECT json_object('a' VALUE json_object('b' VALUE 1))")) + } + + test("explicit CAST(... AS STRING) still cancels raw splicing") { + // In contrast to COLLATE, an explicit CAST(... AS STRING) is the documented way to quote a + // nested constructor rather than splice it raw. + checkAnswer( + sql("SELECT json_object('a' VALUE CAST(json_object('b' VALUE 1) AS STRING))"), + Row("""{"a":"{\"b\":1}"}""")) + } + + test("explicit FORMAT JSON splices a string value raw; a plain string is quoted") { + checkAnswer( + sql("""SELECT json_object('a' VALUE '{"b":1}' FORMAT JSON)"""), Row("""{"a":{"b":1}}""")) + checkAnswer( + sql("SELECT json_object('a' VALUE '[1,2]' FORMAT JSON)"), Row("""{"a":[1,2]}""")) + // Without FORMAT JSON the same string is quoted, even though its contents are valid JSON. + checkAnswer( + sql("""SELECT json_object('a' VALUE '{"b":1}')"""), Row("""{"a":"{\"b\":1}"}""")) + } + + test("per-member rawJson and validation flags stay tied to their own member") { + // Ordered object mixing a quoted string (rawJson=false), a trusted nested producer + // (rawJson=true), and an explicit FORMAT JSON string (rawJson=true, validated). Each member + // must render from its own flag, not a neighbour's. + checkAnswer( + sql("""SELECT json_object( + | 'a' VALUE '{"x":1}', + | 'b' VALUE json_object('c' VALUE 1), + | 'd' VALUE '[1,2]' FORMAT JSON)""".stripMargin), + Row("""{"a":"{\"x\":1}","b":{"c":1},"d":[1,2]}""")) + // A later malformed explicit value: validation must fire for that member (flattened arg 8), not + // be masked by the trusted/quoted earlier members. + val e = intercept[SparkRuntimeException] { + sql("""SELECT json_object( + | 'a' VALUE '{"x":1}', + | 'b' VALUE json_object('c' VALUE 1), + | 'd' VALUE '[1,2]' FORMAT JSON, + | 'e' VALUE '{bad' FORMAT JSON)""".stripMargin).collect() + } + assert(e.getCondition == "INVALID_JSON_FORMAT_JSON_VALUE") + assert(e.getMessageParameters.get("position") == "8") + } + + test("a malformed FORMAT JSON value raises an error at runtime") { + Seq("'{bad'", "'1,2'", "''").foreach { value => + val e = intercept[SparkRuntimeException] { + sql(s"SELECT json_object('a' VALUE $value FORMAT JSON)").collect() + } + assert(e.getCondition == "INVALID_JSON_FORMAT_JSON_VALUE", s"for $value") + } + // The reported position is the flattened value-argument position, not the member ordinal: the + // bad value below is the 4th argument (`a`, 1, `b`, `{bad`), not the 2nd member. + val runtimeErr = intercept[SparkRuntimeException] { + sql("SELECT json_object('a' VALUE 1, 'b' VALUE '{bad' FORMAT JSON)").collect() + } + assert(runtimeErr.getCondition == "INVALID_JSON_FORMAT_JSON_VALUE") + assert(runtimeErr.getMessageParameters.get("position") == "4") + } + + test("FORMAT JSON on a non-string value is rejected at analysis") { + val e = intercept[AnalysisException] { + sql("SELECT json_object('a' VALUE 123 FORMAT JSON)") + } + assert(e.getCondition == "DATATYPE_MISMATCH.INVALID_JSON_FORMAT_JSON_INPUT") + // The reported position is the flattened value-argument position, not the member ordinal: the + // bad value below is the 4th argument (`a`, 1, `b`, 123), not the 2nd member. + val laterMemberErr = intercept[AnalysisException] { + sql("SELECT json_object('a' VALUE 1, 'b' VALUE 123 FORMAT JSON)") + } + assert(laterMemberErr.getCondition == "DATATYPE_MISMATCH.INVALID_JSON_FORMAT_JSON_INPUT") + assert(laterMemberErr.getMessageParameters.get("position") == "4") + } + + test("a NULL FORMAT JSON value follows ON NULL like any other null") { + checkAnswer(sql("SELECT json_object('a' VALUE NULL FORMAT JSON)"), Row("""{"a":null}""")) + checkAnswer( + sql("SELECT json_object('a' VALUE NULL FORMAT JSON ABSENT ON NULL)"), Row("{}")) + } + + test("a per-row (non-foldable) FORMAT JSON value is validated for each row") { + // A column-valued FORMAT JSON is non-foldable, so it exercises the per-row validation branch + // (not the cached foldable branch). + checkAnswer( + Seq("""{"b":1}""").toDF("j").selectExpr("json_object('a' VALUE j FORMAT JSON)"), + Row("""{"a":{"b":1}}""")) + val e = intercept[SparkRuntimeException] { + Seq("bad").toDF("j").selectExpr("json_object('a' VALUE j FORMAT JSON)").collect() + } + assert(e.getCondition == "INVALID_JSON_FORMAT_JSON_VALUE") + } + + test("a constant-folded raw nested value round-trips through .sql as raw") { + // ConstantFolding rewrites the nested json_array(1) to the literal '[1]', but rawJson stays + // frozen true. .sql must emit FORMAT JSON so reparse splices it raw rather than quoting it. + val jsonObj = sql("SELECT json_object('a' VALUE json_array(1)) AS r") + .queryExecution.optimizedPlan.expressions + .flatMap(_.collect { case j: JsonObjectExpr => j }).head + assert(jsonObj.children(1).isInstanceOf[Literal], + "the nested constructor should have been constant-folded to a literal") + assert(jsonObj.sql.contains("FORMAT JSON")) + checkAnswer(sql(s"SELECT ${jsonObj.sql} AS r"), Row("""{"a":[1]}""")) + } + + test("canonical .sql reparses to the built-in even under a shadowing routine") { + // .sql renders an explicit ON NULL clause, forcing the direct grammar path, so a resolved + // built-in round-trips to the built-in even when a same-named routine is on the path. + val objSql = JsonObjectExpr( + Seq((Literal("id"), Literal(7))), Seq(false), Seq(false), + JsonConstructorNullBehavior.Null, StringType).sql + assert(objSql.contains("NULL ON NULL")) + withSQLConf( + SQLConf.PATH_ENABLED.key -> "true", + SQLConf.SESSION_FUNCTION_RESOLUTION_ORDER.key -> "second") { + try { + sql("CREATE TEMPORARY FUNCTION json_object(a STRING, b INT) RETURNS STRING " + + "RETURN 'shadowed'") + sql("SET PATH = system.session, system.builtin") + // The clause-free call is shadowed, but the canonical .sql (with ON NULL) is not. + checkAnswer(sql("SELECT json_object('id', 7)"), Row("shadowed")) + checkAnswer(sql(s"SELECT $objSql"), Row("""{"id":7}""")) + } finally { + sql("SET PATH = DEFAULT_PATH") + sql("DROP TEMPORARY FUNCTION IF EXISTS json_object") + } + } + } + + test("SQL renders a COLLATE-wrapped raw nested value as its bare constructor") { + // A raw value behind a pass-through Collate renders as the bare inner constructor so reparse + // re-derives raw splicing (the collation does not affect the spliced-raw bytes). + val inner = JsonObjectExpr( + Seq((Literal("b"), Literal(1))), Seq(false), Seq(false), + JsonConstructorNullBehavior.Null, StringType) + val wrapped = JsonObjectExpr( + Seq((Literal("a"), Collate(inner, Literal("UTF8_BINARY")))), Seq(true), Seq(false), + JsonConstructorNullBehavior.Null, StringType) + assert(wrapped.sql == + "JSON_OBJECT('a' VALUE JSON_OBJECT('b' VALUE 1 NULL ON NULL) NULL ON NULL)") + checkAnswer(sql(s"SELECT ${wrapped.sql}"), Row("""{"a":{"b":1}}""")) + } + + test("plain call goes through routine resolution and can be shadowed via SET PATH") { + // `withUserDefinedFunction` is unusable here: its cleanup asserts the name no longer resolves, + // but `json_object` is now a registered built-in, so drop the temporary routine explicitly. + withSQLConf( + SQLConf.PATH_ENABLED.key -> "true", + SQLConf.SESSION_FUNCTION_RESOLUTION_ORDER.key -> "second") { + try { + sql("CREATE TEMPORARY FUNCTION json_object(a STRING, b INT) RETURNS STRING " + + "RETURN 'shadowed'") + sql("SET PATH = system.session, system.builtin") + // A plain call is an ordinary function call, so the temporary routine (ahead of + // system.builtin on the path) shadows the built-in constructor. + checkAnswer(sql("SELECT json_object('id', 7)"), Row("shadowed")) + checkAnswer(sql("SELECT json_object('id' VALUE 7)"), Row("shadowed")) + checkAnswer(sql("SELECT json_object(*) FROM VALUES ('id', 7) AS t(a, b)"), Row("shadowed")) + // A clause-bearing form is not a function call, so it stays the built-in constructor. + checkAnswer(sql("SELECT json_object('id' VALUE 7 RETURNING STRING)"), Row("""{"id":7}""")) + checkAnswer(sql("SELECT json_object('id' VALUE NULL ABSENT ON NULL)"), Row("{}")) + // A nested JSON constructor stays on the direct-construction path, so it is not shadowed + // and its parse-time raw splice is preserved. + checkAnswer( + sql("SELECT json_object('a' VALUE json_object('b' VALUE 1))"), + Row("""{"a":{"b":1}}""")) + } finally { + sql("SET PATH = DEFAULT_PATH") + sql("DROP TEMPORARY FUNCTION IF EXISTS json_object") + } + } + } + + test("a comma-form nested JSON producer is spliced raw when unshadowed") { + // The comma form routes through resolution, but the unshadowed built-in reconstruction still + // splices a lexically nested constructor raw (via JsonImplicitFormatCarrier), matching VALUE. + checkAnswer(sql("SELECT json_object('a', json_object('b', 1))"), Row("""{"a":{"b":1}}""")) + checkAnswer(sql("SELECT json_object('a', json_array(1, 2))"), Row("""{"a":[1,2]}""")) + checkAnswer( + sql("SELECT json_object('a', json_object('b', 1))"), + sql("SELECT json_object('a' VALUE json_object('b' VALUE 1))")) + // A pass-through COLLATE still splices raw; a plain string and an explicit CAST stay quoted. + checkAnswer( + sql("SELECT json_object('a', json_object('b', 1) COLLATE UTF8_LCASE)"), + Row("""{"a":{"b":1}}""")) + checkAnswer(sql("""SELECT json_object('a', '{"b":1}')"""), Row("""{"a":"{\"b\":1}"}""")) + checkAnswer( + sql("SELECT json_object('a', CAST(json_object('b', 1) AS STRING))"), + Row("""{"a":"{\"b\":1}"}""")) + } + + test("routed comma-form builder ties each member's raw flag to its own position") { + // The routed builder groups the flat arg list by pairs and derives each member's raw flag from + // its own carrier. Mix a quoted ordinary string, a raw nested object, and a raw nested array in + // distinct positions so a grouping/indexing slip would splice or quote a neighbouring member. + checkAnswer( + sql("""SELECT json_object('a', '{"x":1}', 'b', json_object('c', 1), 'd', json_array(1))"""), + Row("""{"a":"{\"x\":1}","b":{"c":1},"d":[1]}""")) + } + + test("a compatible routine shadows a comma-form call even with a nested producer value") { + // The finding: argument shape must not remove routine candidates. A (STRING, STRING) routine is + // compatible with the nested-producer call (the nested value is STRING), so the clause-free + // comma form resolves to the routine, not the built-in -- the carrier is transparent to + // overload selection. + withSQLConf( + SQLConf.PATH_ENABLED.key -> "true", + SQLConf.SESSION_FUNCTION_RESOLUTION_ORDER.key -> "second") { + try { + sql("CREATE TEMPORARY FUNCTION json_object(a STRING, b STRING) RETURNS STRING " + + "RETURN 'shadowed'") + sql("SET PATH = system.session, system.builtin") + checkAnswer(sql("SELECT json_object('a', 'x')"), Row("shadowed")) + // Previously the nested-producer form bypassed the routine (built-in); now it is shadowed. + checkAnswer(sql("SELECT json_object('a', json_object('b', 1))"), Row("shadowed")) + checkAnswer(sql("SELECT json_object('a', json_array(1))"), Row("shadowed")) + // The dedicated VALUE form's nested value stays on the direct path, so it is not shadowed + // and its parse-time raw splice is preserved. + checkAnswer( + sql("SELECT json_object('a' VALUE json_object('b' VALUE 1))"), + Row("""{"a":{"b":1}}""")) + } finally { + sql("SET PATH = DEFAULT_PATH") + sql("DROP TEMPORARY FUNCTION IF EXISTS json_object") + } + } + } + + test("a nested JSON_OBJECT in key position routes through resolution and can be shadowed") { + // Keys are never spliced raw, so a nested constructor in key position stays routable (unlike a + // value-position one) and a shadowing routine applies to it. A RETURNING clause keeps the outer + // call a direct constructor, so only the inner call's routing is exercised. + val query = "SELECT json_object(json_object('b', 1) VALUE 2 RETURNING STRING)" + // Absent a shadowing routine the inner call resolves to the built-in, so the key is its JSON. + checkAnswer(sql(query), Row("""{"{\"b\":1}":2}""")) + withSQLConf( + SQLConf.PATH_ENABLED.key -> "true", + SQLConf.SESSION_FUNCTION_RESOLUTION_ORDER.key -> "second") { + try { + sql("CREATE TEMPORARY FUNCTION json_object(a STRING, b INT) RETURNS STRING " + + "RETURN 'shadowed'") + sql("SET PATH = system.session, system.builtin") + checkAnswer(sql(query), Row("""{"shadowed":2}""")) + } finally { + sql("SET PATH = DEFAULT_PATH") + sql("DROP TEMPORARY FUNCTION IF EXISTS json_object") + } + } + } + + test("qualified plain JSON_OBJECT resolves to the built-in constructor") { + checkAnswer(sql("SELECT builtin.json_object('id', 7)"), Row("""{"id":7}""")) + checkAnswer(sql("SELECT system.builtin.json_object('id', 7)"), Row("""{"id":7}""")) + checkAnswer(sql("SELECT builtin.json_object()"), Row("{}")) + } + + test("a nested JSON-producing argument through a routed JSON_OBJECT call is quoted") { Review Comment: Done ########## sql/core/src/test/scala/org/apache/spark/sql/JsonObjectSuite.scala: ########## @@ -0,0 +1,1022 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one or more + * contributor license agreements. See the NOTICE file distributed with + * this work for additional information regarding copyright ownership. + * The ASF licenses this file to You under the Apache License, Version 2.0 + * (the "License"); you may not use this file except in compliance with + * the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package org.apache.spark.sql + +import org.apache.spark.SparkRuntimeException +import org.apache.spark.sql.catalyst.analysis.Star +import org.apache.spark.sql.catalyst.analysis.TypeCheckResult.DataTypeMismatch +import org.apache.spark.sql.catalyst.expressions.{Cast, Collate, JsonConstructorNullBehavior, JsonImplicitFormatCarrier, JsonObjectExpr, Literal} +import org.apache.spark.sql.catalyst.parser.ParseException +import org.apache.spark.sql.internal.SQLConf +import org.apache.spark.sql.test.SharedSparkSession +import org.apache.spark.sql.types.{CharType, GeometryType, IntegerType, MapType, StringType, VarcharType} + +/** + * End-to-end tests for the SQL:2016 `JSON_OBJECT` constructor function. + */ +class JsonObjectSuite extends QueryTest with SharedSparkSession { + import testImplicits._ + + test("in the comma form, colon-bearing arguments bind as colon members (documented precedence)") { + // `JSON_OBJECT(a:b, c:d)` matches both list forms: the colon-member list and the comma + // (MySQL-compat) list. The colon-member alternative is declared first, so it wins -- `a:b, c:d` + // reads as the two members (a -> b) and (c -> d), the SQL-standard `key : value` reading, not + // as a single comma-form pair whose key and value are `:`-extractions. + checkAnswer( + sql("SELECT json_object(a:b, c:d) FROM VALUES ('k1','v1','k2','v2') t(a,b,c,d)"), + Row("""{"k1":"v1","k2":"v2"}""")) + // Parenthesizing each argument forces the comma form (one member whose key/value are the + // `:`-extractions). The non-VARIANT extraction target then errors -- proving it parsed as one + // comma-form pair, not two colon members (which resolve cleanly above). + val e = intercept[AnalysisException] { + sql("SELECT json_object((a:b), (c:d)) FROM VALUES ('k1','v1','k2','v2') t(a,b,c,d)").collect() + } + assert(e.getCondition == "COLUMN_IS_NOT_VARIANT_TYPE") + } + + test("basic object from key-value pairs using VALUE keyword") { + checkAnswer( + sql("SELECT json_object('id' VALUE 7, 'name' VALUE 'Ada')"), + Row("""{"id":7,"name":"Ada"}""")) + } + + test("construct object using optional KEY keyword") { + checkAnswer( + sql("SELECT json_object(KEY 'id' VALUE 7, KEY 'name' VALUE 'Ada')"), + Row("""{"id":7,"name":"Ada"}""")) + } + + test("construct object using colon syntax") { + checkAnswer( + sql("SELECT json_object('id': 7, 'name': 'Ada')"), + Row("""{"id":7,"name":"Ada"}""")) + } + + test("colon member with a column-valued value") { + // The `key : value` member overlaps the semi-structured extraction form `expr : path` + // (`primaryExpression COLON semiStructuredExtractionPath`), which also accepts a bare + // identifier on the right. Confirm a column-valued colon member still parses as a JSON_OBJECT + // pair rather than as `'k' : v` semi-structured extraction. + checkAnswer( + sql("SELECT json_object('k': v) FROM VALUES ('x') t(v)"), + Row("""{"k":"x"}""")) + } + + test("construct object using comma-separated key-value syntax") { + checkAnswer( + sql("SELECT json_object('id', 7, 'name', 'Ada')"), + Row("""{"id":7,"name":"Ada"}""")) + } + + test("an odd number of arguments in the comma syntax is rejected") { + // The comma form requires paired key/value arguments; a dangling key ('name') has no value. + // JSON_OBJECT is a non-reserved keyword, so when the constructor grammar cannot match, the call + // parses as an ordinary function call and routes to the registered built-in, whose builder + // rejects the odd argument count rather than silently dropping the dangling key. + val e = intercept[AnalysisException] { + sql("SELECT json_object('id', 7, 'name')") + } + assert(e.getCondition == "WRONG_NUM_ARGS.WITHOUT_SUGGESTION") + } + + test("mixing the VALUE/colon form and the comma form is a parse error") { + // The two member-list styles are mutually exclusive grammar alternatives, so a single + // constructor cannot mix `key VALUE value` (or `key : value`) members with `key, value` ones. + Seq( + "SELECT json_object('a', 1, 'b' VALUE 2)", + "SELECT json_object('a' VALUE 1, 'b', 2)", + "SELECT json_object('a' : 1, 'b', 2)").foreach { query => + intercept[ParseException](sql(query)) + } + } + + test("construct object with NULL values (default NULL ON NULL)") { + checkAnswer( + sql("SELECT json_object('id': 7, 'v': NULL)"), + Row("""{"id":7,"v":null}""")) + } + + test("construct object with explicit NULL ON NULL") { + checkAnswer( + sql("SELECT json_object('id', 7, 'v', NULL NULL ON NULL)"), + Row("""{"id":7,"v":null}""")) + } + + test("construct object with NULL values and ABSENT ON NULL") { + checkAnswer( + sql("SELECT json_object('id': 7, 'v': NULL ABSENT ON NULL)"), + Row("""{"id":7}""")) + } + + test("construct empty object") { + checkAnswer( + sql("SELECT json_object()"), + Row("{}")) + } + + test("construct object with mixed scalar types") { + checkAnswer( + sql("""SELECT json_object('int': 42, 'str': 'hello', 'bool': true, + 'float': 3.14)"""), + Row("""{"int":42,"str":"hello","bool":true,"float":3.14}""")) + } + + test("construct object with decimal type via Jackson") { + checkAnswer( + sql("""SELECT json_object('d' VALUE CAST('123.45' AS DECIMAL(5,2)))"""), + Row("""{"d":123.45}""")) + } + + test("construct object with DATE type via Jackson") { + checkAnswer( + sql("""SELECT json_object('d' VALUE DATE'2020-01-02')"""), + Row("""{"d":"2020-01-02"}""")) + } + + test("construct object with TIMESTAMP type via Jackson") { Review Comment: Done -- This is an automated message from the Apache Git Service. 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