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nextdreamblue pushed a commit to branch master
in repository https://gitbox.apache.org/repos/asf/doris.git
The following commit(s) were added to refs/heads/master by this push:
new e12af9306d5 [fix](prepare) fix datetimev2 return err when
binary_row_format (#34662)
e12af9306d5 is described below
commit e12af9306d5dc5e45f41cc845926c34fc0511abd
Author: xueweizhang <[email protected]>
AuthorDate: Fri May 17 14:19:04 2024 +0800
[fix](prepare) fix datetimev2 return err when binary_row_format (#34662)
fix datetimev2 return err when binary_row_format. before pr, Backend return
datetimev2 alwary by to_string.
fix datatimev2 return metadata loss scale.
---
.../exec/schema_scanner/schema_columns_scanner.cpp | 27 +++++++++++--
be/src/util/mysql_row_buffer.cpp | 46 ++++++++++++----------
be/src/util/mysql_row_buffer.h | 4 +-
.../serde/data_type_datetimev2_serde.cpp | 4 +-
.../org/apache/doris/mysql/MysqlSerializer.java | 2 +
.../test_compaction_uniq_keys_row_store.out | 32 +++++++--------
.../scalar_types/sql/infomation_schema.out | 2 +-
7 files changed, 71 insertions(+), 46 deletions(-)
diff --git a/be/src/exec/schema_scanner/schema_columns_scanner.cpp
b/be/src/exec/schema_scanner/schema_columns_scanner.cpp
index 6d16ecbd31d..deda8af7d8d 100644
--- a/be/src/exec/schema_scanner/schema_columns_scanner.cpp
+++ b/be/src/exec/schema_scanner/schema_columns_scanner.cpp
@@ -512,7 +512,9 @@ Status
SchemaColumnsScanner::_fill_block_impl(vectorized::Block* block) {
{
std::vector<int64_t> srcs(columns_num);
for (int i = 0; i < columns_num; ++i) {
- if (_desc_result.columns[i].columnDesc.__isset.columnPrecision) {
+ int data_type = _desc_result.columns[i].columnDesc.columnType;
+ if (_desc_result.columns[i].columnDesc.__isset.columnPrecision &&
+ data_type != TPrimitiveType::DATETIMEV2) {
srcs[i] = _desc_result.columns[i].columnDesc.columnPrecision;
datas[i] = srcs.data() + i;
} else {
@@ -525,7 +527,9 @@ Status
SchemaColumnsScanner::_fill_block_impl(vectorized::Block* block) {
{
std::vector<int64_t> srcs(columns_num);
for (int i = 0; i < columns_num; ++i) {
- if (_desc_result.columns[i].columnDesc.__isset.columnScale) {
+ int data_type = _desc_result.columns[i].columnDesc.columnType;
+ if (_desc_result.columns[i].columnDesc.__isset.columnScale &&
+ data_type != TPrimitiveType::DATETIMEV2) {
srcs[i] = _desc_result.columns[i].columnDesc.columnScale;
datas[i] = srcs.data() + i;
} else {
@@ -535,7 +539,20 @@ Status
SchemaColumnsScanner::_fill_block_impl(vectorized::Block* block) {
RETURN_IF_ERROR(fill_dest_column_for_range(block, 11, datas));
}
// DATETIME_PRECISION
- { RETURN_IF_ERROR(fill_dest_column_for_range(block, 12, null_datas)); }
+ {
+ std::vector<int64_t> srcs(columns_num);
+ for (int i = 0; i < columns_num; ++i) {
+ int data_type = _desc_result.columns[i].columnDesc.columnType;
+ if (_desc_result.columns[i].columnDesc.__isset.columnScale &&
+ data_type == TPrimitiveType::DATETIMEV2) {
+ srcs[i] = _desc_result.columns[i].columnDesc.columnScale;
+ datas[i] = srcs.data() + i;
+ } else {
+ datas[i] = nullptr;
+ }
+ }
+ RETURN_IF_ERROR(fill_dest_column_for_range(block, 12, datas));
+ }
// CHARACTER_SET_NAME
{ RETURN_IF_ERROR(fill_dest_column_for_range(block, 13, null_datas)); }
// COLLATION_NAME
@@ -605,7 +622,9 @@ Status
SchemaColumnsScanner::_fill_block_impl(vectorized::Block* block) {
{
std::vector<int64_t> srcs(columns_num);
for (int i = 0; i < columns_num; ++i) {
- if (_desc_result.columns[i].columnDesc.__isset.columnScale) {
+ int data_type = _desc_result.columns[i].columnDesc.columnType;
+ if (_desc_result.columns[i].columnDesc.__isset.columnScale &&
+ data_type != TPrimitiveType::DATETIMEV2) {
srcs[i] = _desc_result.columns[i].columnDesc.columnScale;
datas[i] = srcs.data() + i;
} else {
diff --git a/be/src/util/mysql_row_buffer.cpp b/be/src/util/mysql_row_buffer.cpp
index a15fa37a0f3..3e4aa332cea 100644
--- a/be/src/util/mysql_row_buffer.cpp
+++ b/be/src/util/mysql_row_buffer.cpp
@@ -385,19 +385,25 @@ int MysqlRowBuffer<is_binary_format>::push_timev2(double
data, int scale) {
template <bool is_binary_format>
template <typename DateType>
-int MysqlRowBuffer<is_binary_format>::push_vec_datetime(DateType& data) {
+int MysqlRowBuffer<is_binary_format>::push_vec_datetime(DateType& data, int
scale) {
if (is_binary_format && !_dynamic_mode) {
- return push_datetime(data);
+ return push_datetime(data, scale);
}
char buf[64];
- char* pos = data.to_string(buf);
+ char* pos = nullptr;
+ if constexpr (std::is_same_v<DateType, DateV2Value<DateV2ValueType>> ||
+ std::is_same_v<DateType, DateV2Value<DateTimeV2ValueType>>) {
+ pos = data.to_string(buf, scale);
+ } else {
+ pos = data.to_string(buf);
+ }
return push_string(buf, pos - buf - 1);
}
template <bool is_binary_format>
template <typename DateType>
-int MysqlRowBuffer<is_binary_format>::push_datetime(const DateType& data) {
+int MysqlRowBuffer<is_binary_format>::push_datetime(const DateType& data, int
scale) {
if (is_binary_format && !_dynamic_mode) {
char buff[12], *pos;
size_t length;
@@ -410,16 +416,6 @@ int MysqlRowBuffer<is_binary_format>::push_datetime(const
DateType& data) {
pos[4] = (uchar)data.hour();
pos[5] = (uchar)data.minute();
pos[6] = (uchar)data.second();
- if constexpr (std::is_same_v<DateType, DateV2Value<DateV2ValueType>> ||
- std::is_same_v<DateType,
DateV2Value<DateTimeV2ValueType>>) {
- int4store(pos + 7, data.microsecond());
- if (data.microsecond()) {
- length = 11;
- }
- } else {
- int4store(pos + 7, 0);
- }
-
if (data.hour() || data.minute() || data.second()) {
length = 7;
} else if (data.year() || data.month() || data.day()) {
@@ -427,6 +423,14 @@ int MysqlRowBuffer<is_binary_format>::push_datetime(const
DateType& data) {
} else {
length = 0;
}
+ if constexpr (std::is_same_v<DateType, DateV2Value<DateV2ValueType>> ||
+ std::is_same_v<DateType,
DateV2Value<DateTimeV2ValueType>>) {
+ if (scale > 0 || data.microsecond()) {
+ int4store(pos + 7, data.microsecond());
+ length = 11;
+ }
+ }
+
buff[0] = (char)length; // Length is stored first
return append(buff, length + 1);
}
@@ -511,14 +515,16 @@ template class MysqlRowBuffer<true>;
template class MysqlRowBuffer<false>;
template int
MysqlRowBuffer<true>::push_vec_datetime<DateV2Value<DateV2ValueType>>(
- DateV2Value<DateV2ValueType>& value);
+ DateV2Value<DateV2ValueType>& value, int scale);
template int
MysqlRowBuffer<true>::push_vec_datetime<DateV2Value<DateTimeV2ValueType>>(
- DateV2Value<DateTimeV2ValueType>& value);
-template int
MysqlRowBuffer<true>::push_vec_datetime<VecDateTimeValue>(VecDateTimeValue&
value);
+ DateV2Value<DateTimeV2ValueType>& value, int scale);
+template int
MysqlRowBuffer<true>::push_vec_datetime<VecDateTimeValue>(VecDateTimeValue&
value,
+ int
scale);
template int
MysqlRowBuffer<false>::push_vec_datetime<DateV2Value<DateV2ValueType>>(
- DateV2Value<DateV2ValueType>& value);
+ DateV2Value<DateV2ValueType>& value, int scale);
template int
MysqlRowBuffer<false>::push_vec_datetime<DateV2Value<DateTimeV2ValueType>>(
- DateV2Value<DateTimeV2ValueType>& value);
-template int
MysqlRowBuffer<false>::push_vec_datetime<VecDateTimeValue>(VecDateTimeValue&
value);
+ DateV2Value<DateTimeV2ValueType>& value, int scale);
+template int
MysqlRowBuffer<false>::push_vec_datetime<VecDateTimeValue>(VecDateTimeValue&
value,
+ int
scale);
} // namespace doris
diff --git a/be/src/util/mysql_row_buffer.h b/be/src/util/mysql_row_buffer.h
index 6f12fda1ecb..b740efa7764 100644
--- a/be/src/util/mysql_row_buffer.h
+++ b/be/src/util/mysql_row_buffer.h
@@ -76,7 +76,7 @@ public:
int push_time(double data);
int push_timev2(double data, int scale);
template <typename DateType>
- int push_datetime(const DateType& data);
+ int push_datetime(const DateType& data, int scale);
int push_decimal(const DecimalV2Value& data, int round_scale);
int push_ipv4(const IPv4Value& ipv4_val);
int push_ipv6(const IPv6Value& ipv6_val);
@@ -84,7 +84,7 @@ public:
int push_null();
template <typename DateType>
- int push_vec_datetime(DateType& data);
+ int push_vec_datetime(DateType& data, int scale = -1);
// this function reserved size, change the pos step size, return old pos
// Becareful when use the returned pointer.
diff --git a/be/src/vec/data_types/serde/data_type_datetimev2_serde.cpp
b/be/src/vec/data_types/serde/data_type_datetimev2_serde.cpp
index 56aeb3c29ca..73e859f985a 100644
--- a/be/src/vec/data_types/serde/data_type_datetimev2_serde.cpp
+++ b/be/src/vec/data_types/serde/data_type_datetimev2_serde.cpp
@@ -178,10 +178,8 @@ Status
DataTypeDateTimeV2SerDe::_write_column_to_mysql(const IColumn& column,
int row_idx, bool
col_const) const {
auto& data = assert_cast<const ColumnVector<UInt64>&>(column).get_data();
const auto col_index = index_check_const(row_idx, col_const);
- char buf[64];
DateV2Value<DateTimeV2ValueType> date_val =
binary_cast<UInt64,
DateV2Value<DateTimeV2ValueType>>(data[col_index]);
- char* pos = date_val.to_string(buf, scale);
// _nesting_level >= 2 means this datetimev2 is in complex type
// and we should add double quotes
if (_nesting_level >= 2) {
@@ -189,7 +187,7 @@ Status
DataTypeDateTimeV2SerDe::_write_column_to_mysql(const IColumn& column,
return Status::InternalError("pack mysql buffer failed.");
}
}
- if (UNLIKELY(0 != result.push_string(buf, pos - buf - 1))) {
+ if (UNLIKELY(0 != result.push_vec_datetime(date_val, scale))) {
return Status::InternalError("pack mysql buffer failed.");
}
if (_nesting_level >= 2) {
diff --git
a/fe/fe-core/src/main/java/org/apache/doris/mysql/MysqlSerializer.java
b/fe/fe-core/src/main/java/org/apache/doris/mysql/MysqlSerializer.java
index 228f3891ce9..1454dca3c3d 100644
--- a/fe/fe-core/src/main/java/org/apache/doris/mysql/MysqlSerializer.java
+++ b/fe/fe-core/src/main/java/org/apache/doris/mysql/MysqlSerializer.java
@@ -298,6 +298,8 @@ public class MysqlSerializer {
case DECIMAL64:
case DECIMAL128:
case DECIMAL256:
+ case TIMEV2:
+ case DATETIMEV2:
return ((ScalarType) type).decimalScale();
case FLOAT:
case DOUBLE:
diff --git
a/regression-test/data/compaction/test_compaction_uniq_keys_row_store.out
b/regression-test/data/compaction/test_compaction_uniq_keys_row_store.out
index e49aea97d90..cedf0dbe9bd 100644
--- a/regression-test/data/compaction/test_compaction_uniq_keys_row_store.out
+++ b/regression-test/data/compaction/test_compaction_uniq_keys_row_store.out
@@ -1,49 +1,49 @@
-- This file is automatically generated. You should know what you did if you
want to edit this
-- !point_select --
-1 2017-10-01 2017-10-01 2017-10-01 11:11:11.021 2017-10-01
11:11:11.011000 Beijing 10 1 2020-01-01 00:00:00 2020-01-01
00:00:00 2017-10-01 11:11:11.170 2017-10-01 11:11:11.110111 2020-01-01
00:00:00 1 30 20
+1 2017-10-01 2017-10-01 2017-10-01T11:11:11.021
2017-10-01T11:11:11.011 Beijing 10 1 2020-01-01T00:00
2020-01-01T00:00 2017-10-01T11:11:11.170 2017-10-01T11:11:11.110111
2020-01-01T00:00 1 30 20
-- !point_select --
-1 2017-10-01 2017-10-01 2017-10-01 11:11:11.022 2017-10-01
11:11:11.012000 Beijing 10 1 2020-01-02 00:00:00 2020-01-02
00:00:00 2017-10-01 11:11:11.160 2017-10-01 11:11:11.100111 2020-01-02
00:00:00 1 31 19
+1 2017-10-01 2017-10-01 2017-10-01T11:11:11.022
2017-10-01T11:11:11.012 Beijing 10 1 2020-01-02T00:00
2020-01-02T00:00 2017-10-01T11:11:11.160 2017-10-01T11:11:11.100111
2020-01-02T00:00 1 31 19
-- !point_select --
-2 2017-10-01 2017-10-01 2017-10-01 11:11:11.023 2017-10-01
11:11:11.013000 Beijing 10 1 2020-01-02 00:00:00 2020-01-02
00:00:00 2017-10-01 11:11:11.150 2017-10-01 11:11:11.130111 2020-01-02
00:00:00 1 31 21
+2 2017-10-01 2017-10-01 2017-10-01T11:11:11.023
2017-10-01T11:11:11.013 Beijing 10 1 2020-01-02T00:00
2020-01-02T00:00 2017-10-01T11:11:11.150 2017-10-01T11:11:11.130111
2020-01-02T00:00 1 31 21
-- !point_select --
-2 2017-10-01 2017-10-01 2017-10-01 11:11:11.024 2017-10-01
11:11:11.014000 Beijing 10 1 2020-01-03 00:00:00 2020-01-03
00:00:00 2017-10-01 11:11:11.140 2017-10-01 11:11:11.120111 2020-01-03
00:00:00 1 32 20
+2 2017-10-01 2017-10-01 2017-10-01T11:11:11.024
2017-10-01T11:11:11.014 Beijing 10 1 2020-01-03T00:00
2020-01-03T00:00 2017-10-01T11:11:11.140 2017-10-01T11:11:11.120111
2020-01-03T00:00 1 32 20
-- !point_select --
-3 2017-10-01 2017-10-01 2017-10-01 11:11:11.025 2017-10-01
11:11:11.015000 Beijing 10 1 2020-01-03 00:00:00 2020-01-03
00:00:00 2017-10-01 11:11:11.100 2017-10-01 11:11:11.140111 2020-01-03
00:00:00 1 32 22
+3 2017-10-01 2017-10-01 2017-10-01T11:11:11.025
2017-10-01T11:11:11.015 Beijing 10 1 2020-01-03T00:00
2020-01-03T00:00 2017-10-01T11:11:11.100 2017-10-01T11:11:11.140111
2020-01-03T00:00 1 32 22
-- !point_select --
-3 2017-10-01 2017-10-01 2017-10-01 11:11:11.026 2017-10-01
11:11:11.016000 Beijing 10 1 2020-01-04 00:00:00 2020-01-04
00:00:00 2017-10-01 11:11:11.110 2017-10-01 11:11:11.150111 2020-01-04
00:00:00 1 33 21
+3 2017-10-01 2017-10-01 2017-10-01T11:11:11.026
2017-10-01T11:11:11.016 Beijing 10 1 2020-01-04T00:00
2020-01-04T00:00 2017-10-01T11:11:11.110 2017-10-01T11:11:11.150111
2020-01-04T00:00 1 33 21
-- !point_select --
-3 2017-10-01 2017-10-01 2017-10-01 11:11:11.027 2017-10-01
11:11:11.017000 Beijing 10 1 1970-01-01 00:00:00 1970-01-01
00:00:00 1970-01-01 00:00:00.111 1970-01-01 00:00:00.000000 2020-01-05
00:00:00 1 34 20
+3 2017-10-01 2017-10-01 2017-10-01T11:11:11.027
2017-10-01T11:11:11.017 Beijing 10 1 1970-01-01T00:00
1970-01-01T00:00 1970-01-01T00:00:00.111 1970-01-01T00:00
2020-01-05T00:00 1 34 20
-- !point_select --
-4 2017-10-01 2017-10-01 2017-10-01 11:11:11.028 2017-10-01
11:11:11.018000 Beijing 10 1 1970-01-01 00:00:00 1970-01-01
00:00:00 1970-01-01 00:00:00.111 1970-01-01 00:00:00.000000 2020-01-05
00:00:00 1 34 20
+4 2017-10-01 2017-10-01 2017-10-01T11:11:11.028
2017-10-01T11:11:11.018 Beijing 10 1 1970-01-01T00:00
1970-01-01T00:00 1970-01-01T00:00:00.111 1970-01-01T00:00
2020-01-05T00:00 1 34 20
-- !point_select --
-1 2017-10-01 2017-10-01 2017-10-01 11:11:11.021 2017-10-01
11:11:11.011000 Beijing 10 1 2020-01-01 00:00:00 2020-01-01
00:00:00 2017-10-01 11:11:11.170 2017-10-01 11:11:11.110111 2020-01-01
00:00:00 1 30 20
+1 2017-10-01 2017-10-01 2017-10-01T11:11:11.021
2017-10-01T11:11:11.011 Beijing 10 1 2020-01-01T00:00
2020-01-01T00:00 2017-10-01T11:11:11.170 2017-10-01T11:11:11.110111
2020-01-01T00:00 1 30 20
-- !point_select --
-1 2017-10-01 2017-10-01 2017-10-01 11:11:11.022 2017-10-01
11:11:11.012000 Beijing 10 1 2020-01-02 00:00:00 2020-01-02
00:00:00 2017-10-01 11:11:11.160 2017-10-01 11:11:11.100111 2020-01-02
00:00:00 1 31 19
+1 2017-10-01 2017-10-01 2017-10-01T11:11:11.022
2017-10-01T11:11:11.012 Beijing 10 1 2020-01-02T00:00
2020-01-02T00:00 2017-10-01T11:11:11.160 2017-10-01T11:11:11.100111
2020-01-02T00:00 1 31 19
-- !point_select --
-2 2017-10-01 2017-10-01 2017-10-01 11:11:11.023 2017-10-01
11:11:11.013000 Beijing 10 1 2020-01-02 00:00:00 2020-01-02
00:00:00 2017-10-01 11:11:11.150 2017-10-01 11:11:11.130111 2020-01-02
00:00:00 1 31 21
+2 2017-10-01 2017-10-01 2017-10-01T11:11:11.023
2017-10-01T11:11:11.013 Beijing 10 1 2020-01-02T00:00
2020-01-02T00:00 2017-10-01T11:11:11.150 2017-10-01T11:11:11.130111
2020-01-02T00:00 1 31 21
-- !point_select --
-2 2017-10-01 2017-10-01 2017-10-01 11:11:11.024 2017-10-01
11:11:11.014000 Beijing 10 1 2020-01-03 00:00:00 2020-01-03
00:00:00 2017-10-01 11:11:11.140 2017-10-01 11:11:11.120111 2020-01-03
00:00:00 1 32 20
+2 2017-10-01 2017-10-01 2017-10-01T11:11:11.024
2017-10-01T11:11:11.014 Beijing 10 1 2020-01-03T00:00
2020-01-03T00:00 2017-10-01T11:11:11.140 2017-10-01T11:11:11.120111
2020-01-03T00:00 1 32 20
-- !point_select --
-3 2017-10-01 2017-10-01 2017-10-01 11:11:11.025 2017-10-01
11:11:11.015000 Beijing 10 1 2020-01-03 00:00:00 2020-01-03
00:00:00 2017-10-01 11:11:11.100 2017-10-01 11:11:11.140111 2020-01-03
00:00:00 1 32 22
+3 2017-10-01 2017-10-01 2017-10-01T11:11:11.025
2017-10-01T11:11:11.015 Beijing 10 1 2020-01-03T00:00
2020-01-03T00:00 2017-10-01T11:11:11.100 2017-10-01T11:11:11.140111
2020-01-03T00:00 1 32 22
-- !point_select --
-3 2017-10-01 2017-10-01 2017-10-01 11:11:11.026 2017-10-01
11:11:11.016000 Beijing 10 1 2020-01-04 00:00:00 2020-01-04
00:00:00 2017-10-01 11:11:11.110 2017-10-01 11:11:11.150111 2020-01-04
00:00:00 1 33 21
+3 2017-10-01 2017-10-01 2017-10-01T11:11:11.026
2017-10-01T11:11:11.016 Beijing 10 1 2020-01-04T00:00
2020-01-04T00:00 2017-10-01T11:11:11.110 2017-10-01T11:11:11.150111
2020-01-04T00:00 1 33 21
-- !point_select --
-3 2017-10-01 2017-10-01 2017-10-01 11:11:11.027 2017-10-01
11:11:11.017000 Beijing 10 1 1970-01-01 00:00:00 1970-01-01
00:00:00 1970-01-01 00:00:00.111 1970-01-01 00:00:00.000000 2020-01-05
00:00:00 1 34 20
+3 2017-10-01 2017-10-01 2017-10-01T11:11:11.027
2017-10-01T11:11:11.017 Beijing 10 1 1970-01-01T00:00
1970-01-01T00:00 1970-01-01T00:00:00.111 1970-01-01T00:00
2020-01-05T00:00 1 34 20
-- !point_select --
-4 2017-10-01 2017-10-01 2017-10-01 11:11:11.028 2017-10-01
11:11:11.018000 Beijing 10 1 1970-01-01 00:00:00 1970-01-01
00:00:00 1970-01-01 00:00:00.111 1970-01-01 00:00:00.000000 2020-01-05
00:00:00 1 34 20
+4 2017-10-01 2017-10-01 2017-10-01T11:11:11.028
2017-10-01T11:11:11.018 Beijing 10 1 1970-01-01T00:00
1970-01-01T00:00 1970-01-01T00:00:00.111 1970-01-01T00:00
2020-01-05T00:00 1 34 20
diff --git
a/regression-test/data/datatype_p0/scalar_types/sql/infomation_schema.out
b/regression-test/data/datatype_p0/scalar_types/sql/infomation_schema.out
index a5c5eaad199..97e08bc652c 100644
--- a/regression-test/data/datatype_p0/scalar_types/sql/infomation_schema.out
+++ b/regression-test/data/datatype_p0/scalar_types/sql/infomation_schema.out
@@ -14,7 +14,7 @@ internal regression_test_datatype_p0_scalar_types
tbl_scalar_types_dup c_decimal
internal regression_test_datatype_p0_scalar_types
tbl_scalar_types_dup c_date 12 \N YES date \N \N
\N \N \N \N \N date
\N \N \N \N
internal regression_test_datatype_p0_scalar_types
tbl_scalar_types_dup c_datetime 13 \N YES datetime
\N \N \N \N \N \N \N datetime
\N \N \N \N
internal regression_test_datatype_p0_scalar_types
tbl_scalar_types_dup c_datev2 14 \N YES date \N
\N \N \N \N \N \N date
\N \N \N \N
-internal regression_test_datatype_p0_scalar_types
tbl_scalar_types_dup c_datetimev2 15 \N YES datetime
\N \N 18 0 \N \N \N datetime
\N 0 \N \N
+internal regression_test_datatype_p0_scalar_types
tbl_scalar_types_dup c_datetimev2 15 \N YES datetime
\N \N \N \N 0 \N \N datetime
\N \N \N \N
internal regression_test_datatype_p0_scalar_types
tbl_scalar_types_dup c_char 16 \N YES char 15 60
\N \N \N \N \N char(15)
15 \N \N \N
internal regression_test_datatype_p0_scalar_types
tbl_scalar_types_dup c_varchar 17 \N YES varchar 100
400 \N \N \N \N \N varchar(100)
100 \N \N \N
internal regression_test_datatype_p0_scalar_types
tbl_scalar_types_dup c_string 18 \N YES varchar
2147483643 8589934572 \N \N \N \N \N string
2147483643 \N \N \N
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