wangyum commented on pull request #30805:
URL: https://github.com/apache/spark/pull/30805#issuecomment-747175415
How about?
```sql
set spark.sql.parser.quotedRegexColumnNames=true;
EXPLAIN SELECT
`(c_customer_sk|c_customer_id|c_current_cdemo_sk|c_current_hdemo_sk|c_current_addr_sk|c_first_shipto_date_sk|c_first_sales_date_sk)?+.+`
FROM customer limit 5;
== Physical Plan ==
AdaptiveSparkPlan(isFinalPlan=false)
+- Project [c_salutation#1604, c_first_name#1605, c_last_name#1606,
c_preferred_cust_flag#1607, c_birth_day#1608, c_birth_month#1609,
c_birth_year#1610, c_birth_country#1611, c_login#1612, c_email_address#1613,
c_last_review_date#1614]
+- FileScan parquet carmel_tpcds5t.customer
```
```sql
EXPLAIN SELECT * FROM customer;
== Physical Plan ==
AdaptiveSparkPlan(isFinalPlan=false)
+- FileScan parquet carmel_tpcds5t.customer[c_customer_sk#1597,
c_customer_id#1598, c_current_cdemo_sk#1599, c_current_hdemo_sk#1600,
c_current_addr_sk#1601, c_first_shipto_date_sk#1602,
c_first_sales_date_sk#1603, c_salutation#1604, c_first_name#1605,
c_last_name#1606, c_preferred_cust_flag#1607, c_birth_day#1608,
c_birth_month#1609, c_birth_year#1610, c_birth_country#1611, c_login#1612,
c_email_address#1613, c_last_review_date#1614] Batched: true, DataFilters: [],
Format: Parquet,
```
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