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HcmV?d00001
From b57f404cd400ae7de80d8c081db73943e2f90f81 Mon Sep 17 00:00:00 2001
From: CyC2018 <1029579233@qq.com>
Date: Sat, 22 Sep 2018 15:46:59 +0800
Subject: [PATCH 2/3] auto commit
---
notes/CyC 学习交流群 问题汇总.md | 16 ----------------
1 file changed, 16 deletions(-)
delete mode 100644 notes/CyC 学习交流群 问题汇总.md
diff --git a/notes/CyC 学习交流群 问题汇总.md b/notes/CyC 学习交流群 问题汇总.md
deleted file mode 100644
index 806d48d0..00000000
--- a/notes/CyC 学习交流群 问题汇总.md
+++ /dev/null
@@ -1,16 +0,0 @@
-
-* [0. 进程内存空间中,堆和栈的区别](#0-进程内存空间中,堆和栈的区别)
-
-
-
-# 0. 进程内存空间中,堆和栈的区别
-
-> C++
-
-堆:动态、malloc()、new、链式分配、向上生长;栈:函数调用、编译器分配回收、向下生长。
-
-https://www.cnblogs.com/sunziying/p/6510030.html
-
-By @CyC
-
----
From 3ab4f89da6d560e3d641d09930eb8a16e053e870 Mon Sep 17 00:00:00 2001
From: CyC2018 <1029579233@qq.com>
Date: Sat, 22 Sep 2018 20:35:51 +0800
Subject: [PATCH 3/3] auto commit
---
notes/CyC 学习交流群 问题汇总.md | 16 ++++++++++++++++
notes/Leetcode 题解.md | 1 -
notes/Redis.md | 2 +-
3 files changed, 17 insertions(+), 2 deletions(-)
create mode 100644 notes/CyC 学习交流群 问题汇总.md
diff --git a/notes/CyC 学习交流群 问题汇总.md b/notes/CyC 学习交流群 问题汇总.md
new file mode 100644
index 00000000..806d48d0
--- /dev/null
+++ b/notes/CyC 学习交流群 问题汇总.md
@@ -0,0 +1,16 @@
+
+* [0. 进程内存空间中,堆和栈的区别](#0-进程内存空间中,堆和栈的区别)
+
+
+
+# 0. 进程内存空间中,堆和栈的区别
+
+> C++
+
+堆:动态、malloc()、new、链式分配、向上生长;栈:函数调用、编译器分配回收、向下生长。
+
+https://www.cnblogs.com/sunziying/p/6510030.html
+
+By @CyC
+
+---
diff --git a/notes/Leetcode 题解.md b/notes/Leetcode 题解.md
index def70c60..3e19a632 100644
--- a/notes/Leetcode 题解.md
+++ b/notes/Leetcode 题解.md
@@ -3086,7 +3086,6 @@ public int findTargetSumWays(int[] nums, int S) {
int W = (sum + S) / 2;
int[] dp = new int[W + 1];
dp[0] = 1;
- Arrays.sort(nums);
for (int num : nums) {
for (int i = W; i >= num; i--) {
dp[i] = dp[i] + dp[i - num];
diff --git a/notes/Redis.md b/notes/Redis.md
index 58320dfa..fe34c7e7 100644
--- a/notes/Redis.md
+++ b/notes/Redis.md
@@ -355,7 +355,7 @@ List 是一个双向链表,可以通过 lpop 和 lpush 写入和读取消息
## 会话缓存
-在分布式场景下具有多个应用服务器,可以使用 Redis 来统一存储这些应用服务器的会话信息。
+可以使用 Redis 来统一存储多台应用服务器的会话信息。
当应用服务器不再存储用户的会话信息,也就不再具有状态,一个用户可以请求任意一个应用服务器,从而更容易实现高可用性以及可伸缩性。