Hi, aaron:
A PR has been raised for this issue
https://github.com/apache/carbondata/pull/2812, please check.
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Hi, arron, I go through the code and find the root cause.
While writing dataframe to carbontable, we have to keep the order of the
fields in dataframe the same as that in carbontable. The code lies in
`NewCarbonDataLoadRDD.scala#486`. This is because we judge whether the field
is a
Thanks, I will have a try
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Yeah, aaron, the problem may lies in the dataframe and long_string_columns.
Can you try the following statement? It is from the test code in
'VarcharDataTypesBasicTestCase', which suggests you to specify the
'long_string_columns' while writing the dataframe.
```scala
test("write from dataframe
Hi Community, I found that if I match the table columns order and dataframe
order through below way, then it works.
_df
.select(
"market_code", "product_id", "country_code", "category_id",
"company_id", "name", "company", "release_date", "price", "version",
Hi Community,
I encounter a issue, the LONG_STRING_COLUMNS config for big strings not
work. My env is spark2.3.2 + carbon 1.5.0
1. DDL Sql
carbon.sql(
s"""
|CREATE TABLE IF NOT EXISTS product(
|market_code STRING,
|product_id LONG,
|country_code STRING,
