You are viewing a plain text version of this content. The canonical link for it is here.
Posted to commits@iotdb.apache.org by xu...@apache.org on 2020/12/31 01:52:38 UTC
[iotdb] 01/01: change md format in spark
This is an automated email from the ASF dual-hosted git repository.
xuekaifeng pushed a commit to branch change_spark_md
in repository https://gitbox.apache.org/repos/asf/iotdb.git
commit e4eb867703ee94a8185c42a6dcf3138fcee6c714
Author: 151250176 <15...@smail.nju.edu.cn>
AuthorDate: Thu Dec 31 09:52:07 2020 +0800
change md format in spark
---
spark-iotdb-connector/Readme.md | 32 ++++++++++++++------------------
spark-tsfile/README.md | 31 +++++++++++++------------------
2 files changed, 27 insertions(+), 36 deletions(-)
diff --git a/spark-iotdb-connector/Readme.md b/spark-iotdb-connector/Readme.md
index 5fa1993..1b29530 100644
--- a/spark-iotdb-connector/Readme.md
+++ b/spark-iotdb-connector/Readme.md
@@ -76,28 +76,24 @@ df.show()
Take the following TsFile structure as an example: There are three Measurements in the TsFile schema: status, temperature, and hardware. The basic information of these three measurements is as follows:
-<center>
-<table style="text-align:center">
- <tr><th colspan="2">Name</th><th colspan="2">Type</th><th colspan="2">Encode</th></tr>
- <tr><td colspan="2">status</td><td colspan="2">Boolean</td><td colspan="2">PLAIN</td></tr>
- <tr><td colspan="2">temperature</td><td colspan="2">Float</td><td colspan="2">RLE</td></tr>
- <tr><td colspan="2">hardware</td><td colspan="2">Text</td><td colspan="2">PLAIN</td></tr>
-</table>
-</center>
+| name | type | encode|
+|------|------|-------|
+| status | Boolean | PLAIN|
+| temperature | Float | RLE|
+| hardware | Text | PLAIN|
+
The existing data in the TsFile is as follows:
-<center>
-<table style="text-align:center">
- <tr><th colspan="4">device:root.ln.wf01.wt01</th><th colspan="4">device:root.ln.wf02.wt02</th></tr>
- <tr><th colspan="2">status</th><th colspan="2">temperature</th><th colspan="2">hardware</th><th colspan="2">status</th></tr>
- <tr><th>time</th><th>value</td><th>time</th><th>value</td><th>time</th><th>value</th><th>time</th><th>value</td></tr>
- <tr><td>1</td><td>True</td><td>1</td><td>2.2</td><td>2</td><td>"aaa"</td><td>1</td><td>True</td></tr>
- <tr><td>3</td><td>True</td><td>2</td><td>2.2</td><td>4</td><td>"bbb"</td><td>2</td><td>False</td></tr>
- <tr><td>5</td><td> False </td><td>3</td><td>2.1</td><td>6</td><td>"ccc"</td><td>4</td><td>True</td></tr>
-</table>
-</center>
+| root.ln.wf01.wt01 | | root.ln.wf02.wt02 | | | | | |
+|------|------------|-----|--------|------|-------|------|-------|
+| status | | temperature | | hardware | | status | |
+| time | value | time | value | time | value |
+| 1 | True | 1 | 2.2 | 2 | "aaa" | 1 | True
+| 3 | True | 2 | 2.2 | 4 | "bbb" | 2 | False
+| 5 | False | 3 | 2.1 | 6 | "ccc" | 4 | True
+
The wide(default) table form is as follows:
diff --git a/spark-tsfile/README.md b/spark-tsfile/README.md
index b916b99..f41ad03 100644
--- a/spark-tsfile/README.md
+++ b/spark-tsfile/README.md
@@ -82,28 +82,23 @@ Note:
The way to display TsFile is dependent on the schema. Take the following TsFile structure as an example: There are three Measurements in the TsFile schema: status, temperature, and hardware. The basic information of these three measurements is as follows:
-<center>
-<table style="text-align:center">
- <tr><th colspan="2">Name</th><th colspan="2">Type</th><th colspan="2">Encode</th></tr>
- <tr><td colspan="2">status</td><td colspan="2">Boolean</td><td colspan="2">PLAIN</td></tr>
- <tr><td colspan="2">temperature</td><td colspan="2">Float</td><td colspan="2">RLE</td></tr>
- <tr><td colspan="2">hardware</td><td colspan="2">Text</td><td colspan="2">PLAIN</td></tr>
-</table>
-</center>
+| name | type | encode|
+|------|------|-------|
+| status | Boolean | PLAIN|
+| temperature | Float | RLE|
+| hardware | Text | PLAIN|
+
The existing data in the TsFile is as follows:
-<center>
-<table style="text-align:center">
- <tr><th colspan="4">device:root.ln.wf01.wt01</th><th colspan="4">device:root.ln.wf02.wt02</th></tr>
- <tr><th colspan="2">status</th><th colspan="2">temperature</th><th colspan="2">hardware</th><th colspan="2">status</th></tr>
- <tr><th>time</th><th>value</td><th>time</th><th>value</td><th>time</th><th>value</th><th>time</th><th>value</td></tr>
- <tr><td>1</td><td>True</td><td>1</td><td>2.2</td><td>2</td><td>"aaa"</td><td>1</td><td>True</td></tr>
- <tr><td>3</td><td>True</td><td>2</td><td>2.2</td><td>4</td><td>"bbb"</td><td>2</td><td>False</td></tr>
- <tr><td>5</td><td> False </td><td>3</td><td>2.1</td><td>6</td><td>"ccc"</td><td>4</td><td>True</td></tr>
-</table>
-</center>
+| root.ln.wf01.wt01 | | root.ln.wf02.wt02 | | | | | |
+|------|------------|-----|--------|------|-------|------|-------|
+| status | | temperature | | hardware | | status | |
+| time | value | time | value | time | value |
+| 1 | True | 1 | 2.2 | 2 | "aaa" | 1 | True
+| 3 | True | 2 | 2.2 | 4 | "bbb" | 2 | False
+| 5 | False | 3 | 2.1 | 6 | "ccc" | 4 | True
The corresponding SparkSQL table is as follows: