diff --git a/Cargo.lock b/Cargo.lock
index b85c873d76..94ce5f4ad5 100644
--- a/Cargo.lock
+++ b/Cargo.lock
@@ -2478,6 +2478,7 @@ dependencies = [
  "common-macro",
  "common-telemetry",
  "common-time",
+ "criterion 0.7.0",
  "datafusion",
  "datafusion-common",
  "datatypes",
@@ -11557,6 +11558,7 @@ dependencies = [
  "client",
  "common-base",
  "common-catalog",
+ "common-decimal",
  "common-error",
  "common-frontend",
  "common-grpc",
diff --git a/src/common/recordbatch/Cargo.toml b/src/common/recordbatch/Cargo.toml
index 70db559e50..a8cf6a5a7d 100644
--- a/src/common/recordbatch/Cargo.toml
+++ b/src/common/recordbatch/Cargo.toml
@@ -27,4 +27,9 @@ snafu.workspace = true
 tokio.workspace = true
 
 [dev-dependencies]
+criterion = "0.7.0"
 tokio.workspace = true
+
+[[bench]]
+name = "iter_record_batch_rows"
+harness = false
diff --git a/src/common/recordbatch/benches/iter_record_batch_rows.rs b/src/common/recordbatch/benches/iter_record_batch_rows.rs
new file mode 100644
index 0000000000..b819a4658e
--- /dev/null
+++ b/src/common/recordbatch/benches/iter_record_batch_rows.rs
@@ -0,0 +1,179 @@
+// Copyright 2023 Greptime Team
+//
+// Licensed 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.
+
+use std::hint::black_box;
+use std::sync::Arc;
+
+use criterion::{BenchmarkId, Criterion, criterion_group, criterion_main};
+use datafusion::arrow::array::{Int32Array, TimestampMillisecondArray};
+use datafusion::arrow::datatypes::{DataType, Field, TimeUnit};
+use datafusion_common::arrow::array::{ArrayRef, RecordBatch, StringArray};
+use datafusion_common::arrow::datatypes::Schema;
+use datafusion_common::{ScalarValue, utils};
+use datatypes::arrow::array::AsArray;
+use datatypes::arrow::datatypes::{
+    Int32Type, TimestampMicrosecondType, TimestampMillisecondType, TimestampNanosecondType,
+    TimestampSecondType,
+};
+use datatypes::schema::SchemaRef;
+
+fn prepare_record_batch(rows: usize) -> RecordBatch {
+    let schema = Schema::new(vec![
+        Field::new(
+            "ts",
+            DataType::Timestamp(TimeUnit::Millisecond, None),
+            false,
+        ),
+        Field::new("i", DataType::Int32, true),
+        Field::new("s", DataType::Utf8, true),
+    ]);
+
+    let columns: Vec<ArrayRef> = vec![
+        Arc::new(TimestampMillisecondArray::from_iter_values(
+            (0..rows).map(|x| (1760313600000 + x) as i64),
+        )),
+        Arc::new(Int32Array::from_iter_values((0..rows).map(|x| x as i32))),
+        Arc::new(StringArray::from_iter((0..rows).map(|x| {
+            if x % 2 == 0 {
+                Some(format!("s_{x}"))
+            } else {
+                None
+            }
+        }))),
+    ];
+
+    RecordBatch::try_new(Arc::new(schema), columns).unwrap()
+}
+
+fn iter_by_greptimedb_values(schema: SchemaRef, record_batch: RecordBatch) {
+    let record_batch =
+        common_recordbatch::RecordBatch::try_from_df_record_batch(schema, record_batch).unwrap();
+    for row in record_batch.rows() {
+        black_box(row);
+    }
+}
+
+fn iter_by_loop_rows_and_columns(record_batch: RecordBatch) {
+    for i in 0..record_batch.num_rows() {
+        for column in record_batch.columns() {
+            match column.data_type() {
+                DataType::Timestamp(time_unit, _) => {
+                    let v = match time_unit {
+                        TimeUnit::Second => {
+                            let array = column.as_primitive::<TimestampSecondType>();
+                            array.value(i)
+                        }
+                        TimeUnit::Millisecond => {
+                            let array = column.as_primitive::<TimestampMillisecondType>();
+                            array.value(i)
+                        }
+                        TimeUnit::Microsecond => {
+                            let array = column.as_primitive::<TimestampMicrosecondType>();
+                            array.value(i)
+                        }
+                        TimeUnit::Nanosecond => {
+                            let array = column.as_primitive::<TimestampNanosecondType>();
+                            array.value(i)
+                        }
+                    };
+                    black_box(v);
+                }
+                DataType::Int32 => {
+                    let array = column.as_primitive::<Int32Type>();
+                    let v = array.value(i);
+                    black_box(v);
+                }
+                DataType::Utf8 => {
+                    let array = column.as_string::<i32>();
+                    let v = array.value(i);
+                    black_box(v);
+                }
+                _ => unreachable!(),
+            }
+        }
+    }
+}
+
+fn iter_by_datafusion_scalar_values(record_batch: RecordBatch) {
+    let columns = record_batch.columns();
+    for i in 0..record_batch.num_rows() {
+        let row = utils::get_row_at_idx(columns, i).unwrap();
+        black_box(row);
+    }
+}
+
+fn iter_by_datafusion_scalar_values_with_buf(record_batch: RecordBatch) {
+    let columns = record_batch.columns();
+    let mut buf = vec![ScalarValue::Null; columns.len()];
+    for i in 0..record_batch.num_rows() {
+        utils::extract_row_at_idx_to_buf(columns, i, &mut buf).unwrap();
+    }
+}
+
+pub fn criterion_benchmark(c: &mut Criterion) {
+    let mut group = c.benchmark_group("iter_record_batch");
+
+    for rows in [1usize, 10, 100, 1_000, 10_000] {
+        group.bench_with_input(
+            BenchmarkId::new("by_greptimedb_values", rows),
+            &rows,
+            |b, rows| {
+                let record_batch = prepare_record_batch(*rows);
+                let schema =
+                    Arc::new(datatypes::schema::Schema::try_from(record_batch.schema()).unwrap());
+                b.iter(|| {
+                    iter_by_greptimedb_values(schema.clone(), record_batch.clone());
+                })
+            },
+        );
+
+        group.bench_with_input(
+            BenchmarkId::new("by_loop_rows_and_columns", rows),
+            &rows,
+            |b, rows| {
+                let record_batch = prepare_record_batch(*rows);
+                b.iter(|| {
+                    iter_by_loop_rows_and_columns(record_batch.clone());
+                })
+            },
+        );
+
+        group.bench_with_input(
+            BenchmarkId::new("by_datafusion_scalar_values", rows),
+            &rows,
+            |b, rows| {
+                let record_batch = prepare_record_batch(*rows);
+                b.iter(|| {
+                    iter_by_datafusion_scalar_values(record_batch.clone());
+                })
+            },
+        );
+
+        group.bench_with_input(
+            BenchmarkId::new("by_datafusion_scalar_values_with_buf", rows),
+            &rows,
+            |b, rows| {
+                let record_batch = prepare_record_batch(*rows);
+                b.iter(|| {
+                    iter_by_datafusion_scalar_values_with_buf(record_batch.clone());
+                })
+            },
+        );
+    }
+
+    group.finish();
+}
+
+criterion_group!(benches, criterion_benchmark);
+criterion_main!(benches);
diff --git a/src/servers/Cargo.toml b/src/servers/Cargo.toml
index 6fb0b1f1d3..6442a3533b 100644
--- a/src/servers/Cargo.toml
+++ b/src/servers/Cargo.toml
@@ -35,6 +35,7 @@ catalog.workspace = true
 chrono.workspace = true
 common-base.workspace = true
 common-catalog.workspace = true
+common-decimal.workspace = true
 common-error.workspace = true
 common-frontend.workspace = true
 common-grpc.workspace = true
diff --git a/src/servers/src/mysql/writer.rs b/src/servers/src/mysql/writer.rs
index 58cd3900a2..2b8495074a 100644
--- a/src/servers/src/mysql/writer.rs
+++ b/src/servers/src/mysql/writer.rs
@@ -12,18 +12,31 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-use std::ops::Deref;
+use std::time::Duration;
 
+use arrow::array::{Array, AsArray};
+use arrow::datatypes::{
+    Date32Type, Decimal128Type, DurationMicrosecondType, DurationMillisecondType,
+    DurationNanosecondType, DurationSecondType, Float32Type, Float64Type, Int8Type, Int16Type,
+    Int32Type, Int64Type, IntervalDayTimeType, IntervalMonthDayNanoType, IntervalYearMonthType,
+    Time32MillisecondType, Time32SecondType, Time64MicrosecondType, Time64NanosecondType,
+    TimestampMicrosecondType, TimestampMillisecondType, TimestampNanosecondType,
+    TimestampSecondType, UInt8Type, UInt16Type, UInt32Type, UInt64Type,
+};
+use arrow_schema::{DataType, IntervalUnit, TimeUnit};
+use common_decimal::Decimal128;
 use common_error::ext::ErrorExt;
 use common_error::status_code::StatusCode;
 use common_query::{Output, OutputData};
 use common_recordbatch::{RecordBatch, SendableRecordBatchStream};
 use common_telemetry::{debug, error};
-use datatypes::prelude::{ConcreteDataType, Value};
+use common_time::time::Time;
+use common_time::{Date, IntervalDayTime, IntervalMonthDayNano, IntervalYearMonth, Timestamp};
+use datafusion_common::ScalarValue;
+use datatypes::prelude::ConcreteDataType;
 use datatypes::schema::SchemaRef;
 use datatypes::types::jsonb_to_string;
 use futures::StreamExt;
-use itertools::Itertools;
 use opensrv_mysql::{
     Column, ColumnFlags, ColumnType, ErrorKind, OkResponse, QueryResultWriter, RowWriter,
 };
@@ -31,7 +44,7 @@ use session::context::QueryContextRef;
 use snafu::prelude::*;
 use tokio::io::AsyncWrite;
 
-use crate::error::{self, ConvertSqlValueSnafu, Result, ToJsonSnafu};
+use crate::error::{self, ConvertSqlValueSnafu, DataFusionSnafu, NotSupportedSnafu, Result};
 use crate::metrics::*;
 
 /// Try to write multiple output to the writer if possible.
@@ -168,7 +181,7 @@ impl<'a, W: AsyncWrite + Unpin> MysqlResultWriter<'a, W> {
                         Ok(record_batch) => {
                             Self::write_recordbatch(
                                 &mut row_writer,
-                                &record_batch,
+                                record_batch,
                                 query_context.clone(),
                                 &query_result.schema,
                             )
@@ -192,69 +205,228 @@ impl<'a, W: AsyncWrite + Unpin> MysqlResultWriter<'a, W> {
 
     async fn write_recordbatch(
         row_writer: &mut RowWriter<'_, W>,
-        recordbatch: &RecordBatch,
+        record_batch: RecordBatch,
         query_context: QueryContextRef,
         schema: &SchemaRef,
     ) -> Result<()> {
-        for row in recordbatch.rows() {
-            for (value, column) in row.into_iter().zip(schema.column_schemas().iter()) {
-                match value {
-                    Value::Null => row_writer.write_col(None::<u8>)?,
-                    Value::Boolean(v) => row_writer.write_col(v as i8)?,
-                    Value::UInt8(v) => row_writer.write_col(v)?,
-                    Value::UInt16(v) => row_writer.write_col(v)?,
-                    Value::UInt32(v) => row_writer.write_col(v)?,
-                    Value::UInt64(v) => row_writer.write_col(v)?,
-                    Value::Int8(v) => row_writer.write_col(v)?,
-                    Value::Int16(v) => row_writer.write_col(v)?,
-                    Value::Int32(v) => row_writer.write_col(v)?,
-                    Value::Int64(v) => row_writer.write_col(v)?,
-                    Value::Float32(v) => row_writer.write_col(v.0)?,
-                    Value::Float64(v) => row_writer.write_col(v.0)?,
-                    Value::String(v) => row_writer.write_col(v.as_utf8())?,
-                    Value::Binary(v) => match &column.data_type {
-                        ConcreteDataType::Json(_j) => {
-                            let s = jsonb_to_string(&v).context(ConvertSqlValueSnafu)?;
+        let record_batch = record_batch.into_df_record_batch();
+        for i in 0..record_batch.num_rows() {
+            for (j, column) in record_batch.columns().iter().enumerate() {
+                if column.is_null(i) {
+                    row_writer.write_col(None::<u8>)?;
+                    continue;
+                }
+
+                match column.data_type() {
+                    DataType::Null => {
+                        row_writer.write_col(None::<u8>)?;
+                    }
+                    DataType::Boolean => {
+                        let array = column.as_boolean();
+                        row_writer.write_col(array.value(i) as i8)?;
+                    }
+                    DataType::UInt8 => {
+                        let array = column.as_primitive::<UInt8Type>();
+                        row_writer.write_col(array.value(i))?;
+                    }
+                    DataType::UInt16 => {
+                        let array = column.as_primitive::<UInt16Type>();
+                        row_writer.write_col(array.value(i))?;
+                    }
+                    DataType::UInt32 => {
+                        let array = column.as_primitive::<UInt32Type>();
+                        row_writer.write_col(array.value(i))?;
+                    }
+                    DataType::UInt64 => {
+                        let array = column.as_primitive::<UInt64Type>();
+                        row_writer.write_col(array.value(i))?;
+                    }
+                    DataType::Int8 => {
+                        let array = column.as_primitive::<Int8Type>();
+                        row_writer.write_col(array.value(i))?;
+                    }
+                    DataType::Int16 => {
+                        let array = column.as_primitive::<Int16Type>();
+                        row_writer.write_col(array.value(i))?;
+                    }
+                    DataType::Int32 => {
+                        let array = column.as_primitive::<Int32Type>();
+                        row_writer.write_col(array.value(i))?;
+                    }
+                    DataType::Int64 => {
+                        let array = column.as_primitive::<Int64Type>();
+                        row_writer.write_col(array.value(i))?;
+                    }
+                    DataType::Float32 => {
+                        let array = column.as_primitive::<Float32Type>();
+                        row_writer.write_col(array.value(i))?;
+                    }
+                    DataType::Float64 => {
+                        let array = column.as_primitive::<Float64Type>();
+                        row_writer.write_col(array.value(i))?;
+                    }
+                    DataType::Utf8 => {
+                        let array = column.as_string::<i32>();
+                        row_writer.write_col(array.value(i))?;
+                    }
+                    DataType::Utf8View => {
+                        let array = column.as_string_view();
+                        row_writer.write_col(array.value(i))?;
+                    }
+                    DataType::LargeUtf8 => {
+                        let array = column.as_string::<i64>();
+                        row_writer.write_col(array.value(i))?;
+                    }
+                    DataType::Binary => {
+                        let array = column.as_binary::<i32>();
+                        let v = array.value(i);
+                        if let ConcreteDataType::Json(_) = &schema.column_schemas()[j].data_type {
+                            let s = jsonb_to_string(v).context(ConvertSqlValueSnafu)?;
                             row_writer.write_col(s)?;
+                        } else {
+                            row_writer.write_col(v)?;
                         }
-                        _ => {
-                            row_writer.write_col(v.deref())?;
+                    }
+                    DataType::BinaryView => {
+                        let array = column.as_binary_view();
+                        let v = array.value(i);
+                        if let ConcreteDataType::Json(_) = &schema.column_schemas()[j].data_type {
+                            let s = jsonb_to_string(v).context(ConvertSqlValueSnafu)?;
+                            row_writer.write_col(s)?;
+                        } else {
+                            row_writer.write_col(v)?;
+                        }
+                    }
+                    DataType::LargeBinary => {
+                        let array = column.as_binary::<i64>();
+                        let v = array.value(i);
+                        if let ConcreteDataType::Json(_) = &schema.column_schemas()[j].data_type {
+                            let s = jsonb_to_string(v).context(ConvertSqlValueSnafu)?;
+                            row_writer.write_col(s)?;
+                        } else {
+                            row_writer.write_col(v)?;
+                        }
+                    }
+                    DataType::Date32 => {
+                        let array = column.as_primitive::<Date32Type>();
+                        let v = Date::new(array.value(i));
+                        row_writer.write_col(v.to_chrono_date())?;
+                    }
+                    DataType::Timestamp(time_unit, _) => {
+                        let v = match time_unit {
+                            TimeUnit::Second => {
+                                let array = column.as_primitive::<TimestampSecondType>();
+                                array.value(i)
+                            }
+                            TimeUnit::Millisecond => {
+                                let array = column.as_primitive::<TimestampMillisecondType>();
+                                array.value(i)
+                            }
+                            TimeUnit::Microsecond => {
+                                let array = column.as_primitive::<TimestampMicrosecondType>();
+                                array.value(i)
+                            }
+                            TimeUnit::Nanosecond => {
+                                let array = column.as_primitive::<TimestampNanosecondType>();
+                                array.value(i)
+                            }
+                        };
+                        let v = Timestamp::new(v, time_unit.into());
+                        let v = v.to_chrono_datetime_with_timezone(Some(&query_context.timezone()));
+                        row_writer.write_col(v)?;
+                    }
+                    DataType::Interval(interval_unit) => match interval_unit {
+                        IntervalUnit::YearMonth => {
+                            let array = column.as_primitive::<IntervalYearMonthType>();
+                            let v: IntervalYearMonth = array.value(i).into();
+                            row_writer.write_col(v.to_iso8601_string())?;
+                        }
+                        IntervalUnit::DayTime => {
+                            let array = column.as_primitive::<IntervalDayTimeType>();
+                            let v: IntervalDayTime = array.value(i).into();
+                            row_writer.write_col(v.to_iso8601_string())?;
+                        }
+                        IntervalUnit::MonthDayNano => {
+                            let array = column.as_primitive::<IntervalMonthDayNanoType>();
+                            let v: IntervalMonthDayNano = array.value(i).into();
+                            row_writer.write_col(v.to_iso8601_string())?;
                         }
                     },
-                    Value::Date(v) => row_writer.write_col(v.to_chrono_date())?,
-                    // convert timestamp to timezone of current connection
-                    Value::Timestamp(v) => row_writer.write_col(
-                        v.to_chrono_datetime_with_timezone(Some(&query_context.timezone())),
-                    )?,
-                    Value::IntervalYearMonth(v) => row_writer.write_col(v.to_iso8601_string())?,
-                    Value::IntervalDayTime(v) => row_writer.write_col(v.to_iso8601_string())?,
-                    Value::IntervalMonthDayNano(v) => {
-                        row_writer.write_col(v.to_iso8601_string())?
+                    DataType::Duration(time_unit) => match time_unit {
+                        TimeUnit::Second => {
+                            let array = column.as_primitive::<DurationSecondType>();
+                            let v = array.value(i);
+                            row_writer.write_col(Duration::from_secs(v as u64))?;
+                        }
+                        TimeUnit::Millisecond => {
+                            let array = column.as_primitive::<DurationMillisecondType>();
+                            let v = array.value(i);
+                            row_writer.write_col(Duration::from_millis(v as u64))?;
+                        }
+                        TimeUnit::Microsecond => {
+                            let array = column.as_primitive::<DurationMicrosecondType>();
+                            let v = array.value(i);
+                            row_writer.write_col(Duration::from_micros(v as u64))?;
+                        }
+                        TimeUnit::Nanosecond => {
+                            let array = column.as_primitive::<DurationNanosecondType>();
+                            let v = array.value(i);
+                            row_writer.write_col(Duration::from_nanos(v as u64))?;
+                        }
+                    },
+                    DataType::List(_) => {
+                        let v = ScalarValue::try_from_array(column, i).context(DataFusionSnafu)?;
+                        row_writer.write_col(v.to_string())?;
                     }
-                    Value::Duration(v) => row_writer.write_col(v.to_std_duration())?,
-                    Value::List(v) => row_writer.write_col(format!(
-                        "[{}]",
-                        v.items().iter().map(|x| x.to_string()).join(", ")
-                    ))?,
-                    Value::Struct(struct_value) => row_writer.write_col(format!(
-                        "{{{}}}",
-                        struct_value
-                            .struct_type()
-                            .fields()
-                            .iter()
-                            .map(|f| f.name())
-                            .zip(struct_value.items().iter())
-                            .map(|(k, v)| format!("{k}: {v}"))
-                            .join(", ")
-                    ))?,
-                    Value::Json(inner) => {
-                        let json_value =
-                            serde_json::Value::try_from(*inner).context(ToJsonSnafu)?;
-                        row_writer.write_col(json_value.to_string())?
+                    DataType::Struct(_) => {
+                        let v = ScalarValue::try_from_array(column, i).context(DataFusionSnafu)?;
+                        row_writer.write_col(v.to_string())?;
+                    }
+                    DataType::Time32(time_unit) => {
+                        let time = match time_unit {
+                            TimeUnit::Second => {
+                                let array = column.as_primitive::<Time32SecondType>();
+                                Time::new_second(array.value(i) as i64)
+                            }
+                            TimeUnit::Millisecond => {
+                                let array = column.as_primitive::<Time32MillisecondType>();
+                                Time::new_millisecond(array.value(i) as i64)
+                            }
+                            _ => unreachable!(
+                                "`DataType::Time32` has only second and millisecond time units"
+                            ),
+                        };
+                        let v = time.to_timezone_aware_string(Some(&query_context.timezone()));
+                        row_writer.write_col(v)?;
+                    }
+                    DataType::Time64(time_unit) => {
+                        let time = match time_unit {
+                            TimeUnit::Microsecond => {
+                                let array = column.as_primitive::<Time64MicrosecondType>();
+                                Time::new_microsecond(array.value(i))
+                            }
+                            TimeUnit::Nanosecond => {
+                                let array = column.as_primitive::<Time64NanosecondType>();
+                                Time::new_nanosecond(array.value(i))
+                            }
+                            _ => unreachable!(
+                                "`DataType::Time64` has only microsecond and nanosecond time units"
+                            ),
+                        };
+                        let v = time.to_timezone_aware_string(Some(&query_context.timezone()));
+                        row_writer.write_col(v)?;
+                    }
+                    DataType::Decimal128(precision, scale) => {
+                        let array = column.as_primitive::<Decimal128Type>();
+                        let v = Decimal128::new(array.value(i), *precision, *scale);
+                        row_writer.write_col(v.to_string())?;
+                    }
+                    _ => {
+                        return NotSupportedSnafu {
+                            feat: format!("convert {} to MySQL value", column.data_type()),
+                        }
+                        .fail();
                     }
-                    Value::Time(v) => row_writer
-                        .write_col(v.to_timezone_aware_string(Some(&query_context.timezone())))?,
-                    Value::Decimal128(v) => row_writer.write_col(v.to_string())?,
                 }
             }
             row_writer.end_row().await?;