From 901b769e2c3b8f34105724fe7f355e4dfa5017b5 Mon Sep 17 00:00:00 2001
From: Wenjun Si <wenjun.swj@alibaba-inc.com>
Date: Thu, 3 Oct 2024 10:21:16 +0800
Subject: [PATCH] Fix arrow links in docs (#252)

---
 docs/source/base-tables.rst                   |  8 +--
 .../locale/en/LC_MESSAGES/base-tables.po      | 51 +++++++++----------
 2 files changed, 29 insertions(+), 30 deletions(-)

diff --git a/docs/source/base-tables.rst b/docs/source/base-tables.rst
index 60fd09c..b817689 100644
--- a/docs/source/base-tables.rst
+++ b/docs/source/base-tables.rst
@@ -251,9 +251,9 @@ Record表示表的一行记录，我们在 Table 对象上调用 new_record 就
    >>> for record in o.read_table('test_table', partition='pt=test,pt2=test2'):
    >>>     # 处理一条记录
 
-从 0.11.2 开始，PyODPS 支持使用 `https://arrow.apache.org/ <Arrow>`_ 格式读写数据，该格式可以以更高\
+从 0.11.2 开始，PyODPS 支持使用 `Arrow <https://arrow.apache.org/>`_ 格式读写数据，该格式可以以更高\
 效率与 pandas 等格式互相转换。安装 pyarrow 后，在调用 ``open_reader`` 时增加 ``arrow=True`` 参数，即可按
-`https://arrow.apache.org/docs/python/data.html#record-batches <Arrow RecordBatch>`_
+`Arrow RecordBatch <https://arrow.apache.org/docs/python/data.html#record-batches>`_
 格式读取表内容。
 
 .. code-block:: python
@@ -440,9 +440,9 @@ open_writer 创建的 Writer 对象通过 multiprocessing 标准库传递到需
             # 等待子进程中的执行完成
             [f.get() for f in futures]
 
-从 0.11.2 开始，PyODPS 支持使用 `https://arrow.apache.org/ <Arrow>`_ 格式读写数据，该格式可以以更高\
+从 0.11.2 开始，PyODPS 支持使用 `Arrow <https://arrow.apache.org/>`_ 格式读写数据，该格式可以以更高\
 效率与 pandas 等格式互相转换。安装 pyarrow 后，在调用 ``open_writer`` 时增加 ``arrow=True`` 参数，即可按
-`https://arrow.apache.org/docs/python/data.html#record-batches <Arrow RecordBatch>`_
+`Arrow RecordBatch <https://arrow.apache.org/docs/python/data.html#record-batches>`_
 格式写入表内容。PyODPS 也支持直接写入 pandas DataFrame，支持自动转换为 Arrow RecordBatch。
 
 .. code-block:: python
diff --git a/docs/source/locale/en/LC_MESSAGES/base-tables.po b/docs/source/locale/en/LC_MESSAGES/base-tables.po
index 2e553c0..2c6ca67 100644
--- a/docs/source/locale/en/LC_MESSAGES/base-tables.po
+++ b/docs/source/locale/en/LC_MESSAGES/base-tables.po
@@ -466,19 +466,18 @@ msgstr ""
 
 #: ../../source/base-tables.rst:254
 msgid ""
-"从 0.11.2 开始，PyODPS 支持使用 `https://arrow.apache.org/ <Arrow>`_ 格式"
+"从 0.11.2 开始，PyODPS 支持使用 `Arrow <https://arrow.apache.org/>`_ 格式"
 "读写数据，该格式可以以更高\\ 效率与 pandas 等格式互相转换。安装 pyarrow "
-"后，在调用 ``open_reader`` 时增加 ``arrow=True`` 参数，即可按 `https://"
-"arrow.apache.org/docs/python/data.html#record-batches <Arrow RecordBatch>"
-"`_ 格式读取表内容。"
-msgstr ""
-"Since 0.11.2, PyODPS supports reading and writing table data with "
-"`https://arrow.apache.org/ <Arrow>`_ format, which can be converted from "
-"and to pandas or other formats with high efficiency. After installing "
-"pyarrow, you can read data from tables with "
-"`https://arrow.apache.org/docs/python/data.html#record-batches <Arrow "
-"RecordBatch>`_ format by adding ``arrow=True`` argument when calling "
-"``open_reader`` method."
+"后，在调用 ``open_reader`` 时增加 ``arrow=True`` 参数，即可按 `Arrow "
+"RecordBatch <https://arrow.apache.org/docs/python/data.html#record-"
+"batches>`_ 格式读取表内容。"
+msgstr ""
+"Since 0.11.2, PyODPS supports reading and writing table data with `Arrow "
+"<https://arrow.apache.org/>`_ format, which can be converted from and to "
+"pandas or other formats with high efficiency. After installing pyarrow, "
+"you can read data from tables with `Arrow RecordBatch "
+"<https://arrow.apache.org/docs/python/data.html#record-batches>`_ format "
+"by adding ``arrow=True`` argument when calling ``open_reader`` method."
 
 #: ../../source/base-tables.rst:259
 msgid ""
@@ -892,21 +891,21 @@ msgstr ""
 
 #: ../../source/base-tables.rst:443
 msgid ""
-"从 0.11.2 开始，PyODPS 支持使用 `https://arrow.apache.org/ <Arrow>`_ 格式"
+"从 0.11.2 开始，PyODPS 支持使用 `Arrow <https://arrow.apache.org/>`_ 格式"
 "读写数据，该格式可以以更高\\ 效率与 pandas 等格式互相转换。安装 pyarrow "
-"后，在调用 ``open_writer`` 时增加 ``arrow=True`` 参数，即可按 `https://"
-"arrow.apache.org/docs/python/data.html#record-batches <Arrow RecordBatch>"
-"`_ 格式写入表内容。PyODPS 也支持直接写入 pandas DataFrame，支持自动转换为"
-" Arrow RecordBatch。"
-msgstr ""
-"Since 0.11.2, PyODPS supports reading and writing table data with "
-"`https://arrow.apache.org/ <Arrow>`_ format, which can be converted from "
-"and to pandas or other formats with high efficiency. After installing "
-"pyarrow, you can write data into tables with "
-"`https://arrow.apache.org/docs/python/data.html#record-batches <Arrow "
-"RecordBatch>`_ format by adding ``arrow=True`` argument when calling "
-"``open_writer`` method. PyODPS also supports writing tables with pandas "
-"DataFrames, which will be converted into Arrow RecordBatch directly."
+"后，在调用 ``open_writer`` 时增加 ``arrow=True`` 参数，即可按 `Arrow "
+"RecordBatch <https://arrow.apache.org/docs/python/data.html#record-"
+"batches>`_ 格式写入表内容。PyODPS 也支持直接写入 pandas DataFrame，支持"
+"自动转换为 Arrow RecordBatch。"
+msgstr ""
+"Since 0.11.2, PyODPS supports reading and writing table data with `Arrow "
+"<https://arrow.apache.org/>`_ format, which can be converted from and to "
+"pandas or other formats with high efficiency. After installing pyarrow, "
+"you can write data into tables with `Arrow RecordBatch "
+"<https://arrow.apache.org/docs/python/data.html#record-batches>`_ format "
+"by adding ``arrow=True`` argument when calling ``open_writer`` method. "
+"PyODPS also supports writing tables with pandas DataFrames, which will be"
+" converted into Arrow RecordBatch directly."
 
 #: ../../source/base-tables.rst:448
 msgid ""