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new 24b1d3becdf [Fix](Variant) forbit create variant as key (#36555)
24b1d3becdf is described below
commit 24b1d3becdf0b5d366341dbdde496f32428d3818
Author: lihangyu <[email protected]>
AuthorDate: Thu Jun 20 10:42:19 2024 +0800
[Fix](Variant) forbit create variant as key (#36555)
---
.../plans/commands/info/ColumnDefinition.java | 3 ++
regression-test/suites/variant_p0/load.groovy | 54 +++++++++++++++-------
2 files changed, 40 insertions(+), 17 deletions(-)
diff --git
a/fe/fe-core/src/main/java/org/apache/doris/nereids/trees/plans/commands/info/ColumnDefinition.java
b/fe/fe-core/src/main/java/org/apache/doris/nereids/trees/plans/commands/info/ColumnDefinition.java
index 9c6835a347d..5bc79a0b27f 100644
---
a/fe/fe-core/src/main/java/org/apache/doris/nereids/trees/plans/commands/info/ColumnDefinition.java
+++
b/fe/fe-core/src/main/java/org/apache/doris/nereids/trees/plans/commands/info/ColumnDefinition.java
@@ -245,6 +245,9 @@ public class ColumnDefinition {
} else if (type.isJsonType()) {
throw new AnalysisException(
"JsonType type should not be used in key column[" +
getName() + "].");
+ } else if (type.isVariantType()) {
+ throw new AnalysisException(
+ "Variant type should not be used in key column[" +
getName() + "].");
} else if (type.isMapType()) {
throw new AnalysisException("Map can only be used in the
non-key column of"
+ " the duplicate table at present.");
diff --git a/regression-test/suites/variant_p0/load.groovy
b/regression-test/suites/variant_p0/load.groovy
index 899f7218b8e..572f7ce8ffc 100644
--- a/regression-test/suites/variant_p0/load.groovy
+++ b/regression-test/suites/variant_p0/load.groovy
@@ -255,23 +255,6 @@ suite("regression_test_variant", "nonConcurrent"){
// b? 7.111 [123,{"xx":1}] {"b":{"c":456,"e":7.111}} 456
qt_sql_30 "select v['b']['e'], v['a'], v['b'], v['b']['c'] from
jsonb_values where cast(v['b']['e'] as double) > 1;"
- test {
- sql "select v['a'] from ${table_name} group by v['a']"
- exception("errCode = 2, detailMessage = Doris hll, bitmap, array,
map, struct, jsonb, variant column must use with specific function, and don't
support filter, group by or order by")
- }
-
- test {
- sql """
- create table var(
- `content` variant
- )distributed by hash(`content`) buckets 8
- properties(
- "replication_allocation" = "tag.location.default: 1"
- );
- """
- exception("errCode = 2, detailMessage = Hash distribution info
should not contain variant columns")
- }
-
// 13. sparse columns
table_name = "sparse_columns"
create_table table_name
@@ -440,6 +423,43 @@ suite("regression_test_variant", "nonConcurrent"){
qt_sql_records3 """SELECT value FROM records WHERE value['text99']
MATCH_ALL '来 广州 但是嗯嗯 还 不能 在' OR ( value['text47'] MATCH_ALL '你 觉得 超 好看 的 动' )
OR ( value['text43'] MATCH_ALL ' 楼主 拒绝 了 一个 女生 我 傻逼 吗手' ) LIMIT 0, 100"""
qt_sql_records4 """SELECT value FROM records WHERE value['id16'] =
'39960' AND ( value['text59'] = '非 明显 是 一 付 很 嫌') AND ( value['text99'] = '来
广州 但是嗯嗯 还 不能 在 ') """
qt_sql_records5 """SELECT value FROM records WHERE value['text3']
MATCH_ALL '伊心 是 来 搞笑 的' LIMIT 0, 100"""
+
+ test {
+ sql "select v['a'] from ${table_name} group by v['a']"
+ exception("errCode = 2, detailMessage = Doris hll, bitmap, array,
map, struct, jsonb, variant column must use with specific function, and don't
support filter, group by or order by")
+ }
+
+ test {
+ sql """
+ create table var(
+ `key` int,
+ `content` variant
+ )
+ DUPLICATE KEY(`key`)
+ distributed by hash(`content`) buckets 8
+ properties(
+ "replication_allocation" = "tag.location.default: 1"
+ );
+ """
+ exception("errCode = 2, detailMessage = Hash distribution info
should not contain variant columns")
+ }
+
+ test {
+ sql """
+ CREATE TABLE `var_as_key` (
+ `key` int NULL,
+ `var` variant NULL
+ ) ENGINE=OLAP
+ DUPLICATE KEY(`key`, `var`)
+ COMMENT 'OLAP'
+ DISTRIBUTED BY RANDOM BUCKETS 1
+ PROPERTIES (
+ "replication_allocation" = "tag.location.default: 1"
+ );
+ """
+ exception("errCode = 2, detailMessage = Variant type should not be
used in key")
+ }
+
} finally {
// reset flags
set_be_config.call("variant_ratio_of_defaults_as_sparse_column",
"0.95")
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