diff --git a/docs/datasource_api_userguide.md b/docs/datasource_api_userguide.md
index cf95191b13..c9e4774c13 100644
--- a/docs/datasource_api_userguide.md
+++ b/docs/datasource_api_userguide.md
@@ -341,3 +341,48 @@ The full conversion metrics is as follows.
 | LONGBLOB   | :white_check_mark: | :white_check_mark: | :white_check_mark: | :white_check_mark: | :white_check_mark: | :x:                | :x:                | :white_check_mark: | :x:                | :x:                | :x:                |
 | ENUM       | :white_check_mark: | :white_check_mark: | :white_check_mark: | :white_check_mark: | :white_check_mark: | :white_check_mark: | :white_check_mark: | :white_check_mark: | :x:                | :x:                | :x:                |
 | SET        | :x:                | :x:                | :x:                | :x:                | :x:                | :x:                | :x:                | :x:                | :x:                | :x:                | :x:                |
+
+## Write Benchmark
+Tested on 4 machines as follows:
+
+```
+Intel(R) Xeon(R) CPU E5-2630 v4 @ 2.20GHz * 2 = 40Vu
+12 * 16G = 188G
+```
+
+`FIO` test result:
+
+```
+WRITE: bw=705MiB/s (740MB/s), 705MiB/s-705MiB/s (740MB/s-740MB/s), io=20.0GiB (21.5GB), run=29034-29034msec
+```
+
+The table schema is:
+```
+CREATE TABLE ORDERS  (O_ORDERKEY       INTEGER NOT NULL,
+                      O_CUSTKEY        INTEGER NOT NULL,
+                      O_ORDERSTATUS    CHAR(1) NOT NULL,
+                      O_TOTALPRICE     DECIMAL(15,2) NOT NULL,
+                      O_ORDERDATE      DATE NOT NULL,
+                      O_ORDERPRIORITY  CHAR(15) NOT NULL,
+                      O_CLERK          CHAR(15) NOT NULL,
+                      O_SHIPPRIORITY   INTEGER NOT NULL,
+                      O_COMMENT        VARCHAR(79) NOT NULL);
+
+```
+
+### TiSpark Write Benchmark
+
+| count(*)    | data size | parallel number | prepare(s) | prewrite (s) | commit (s) | total (s) |
+| ----------- | --------- | --------------- | ---------- | ------------ | ---------- | --------- |
+| 1,500,000   | 165M      | 2               | 17         | 68           | 62         | 148       |
+| 15,000,000  | 1.7G      | 24              | 49         | 157          | 119        | 326       |
+| 150,000,000 | 17G       | 120             | 630        | 1236         | 1098       | 2964      |
+
+
+## Spark with JDBC Benchmark
+
+| count(*)    | data size | parallel number | spark jdbc write (s) | comments                            |
+| ----------- | --------- | --------------- | -------------------- | ----------------------------------- |
+| 1,500,000   | 165M      | 24              | 22                   |                                     |
+| 15,000,000  | 1.7G      | 24              | 411                  | use 120 parallel will cause KV Busy |
+| 150,000,000 | 17G       | 24              | 2936                 | use 120 parallel will cause KV Busy |