也能复现 crash 的问题： sed -n '2031,2217p' create.sql > insert.sql 所以 crash 的第2个条件是：插入 longblob 大对象 5. slave_compressed_protocol...经过不断的测试，每次修改一批参数（注意前面已经定位到跟半同步复制有关，所以一定要同时修改主、从库的参数），不断缩小范围，最终定位到是从库设置 slave_compressed_protocol=on 的影响...从库 slave_compressed_protocol=ON 时，还会导致从库 slave io thread 一直断开与主库的连接，并不断重连，从库 error log 报错如下： 2020-04-...id=85382 结论 此次 crash 的触发条件有3个： 插入 longblob 大对象； 半同步复制，并且在 insert longblob 大对象时伴随有其他外部写流量； slave_compressed_protocol...解决方案 set slave_compressed_protocol=OFF 即可，另外官方文档也说明不要配置此参数，后续版本将会删除此参数： As of MySQL 8.0.18, this system
Spark history server fails to render compressed inprogress history file in some cases 1 Overview 我们目前生产环境...Spark history server fails to render compressed inprogress history file in some cases，最后发现这是一个 Spark
实验环境：CentOS7.5、MySQL5.7 主库： set global slave_compressed_protocol = ON ; slave1上，设置压缩: set global slave_compressed_protocol...可以看到，开启slave_compressed_protocol=ON 后，带宽得到了很大的压缩（节省了2/3的带宽），在跨机房同步的时候，可以避免专线的过高占用。
正如我们在上面文章提到的内容，在英文语境中上面 2 个方法还是有区别的，在中文环境下主要表达就是字符串压缩。
当加载压缩纹理时，参数支持如下几种格式： GL_COMPRESSED_RGB_PVRTC_4BPPV1_IMG (RGB，每个像素0.5个字节) GL_COMPRESSED_RGB_PVRTC_2BPPV1..._IMG (RGB，每个像素0.25个字节) GL_COMPRESSED_RGBA_PVRTC_4BPPV1_IMG (RGBA，每个像素0.5个字节) GL_COMPRESSED_RGBA_PVRTC...当加载压缩纹理时，参数有如下几种格式： GL_COMPRESSED_RGB_S3TC_DXT1 (RGB，每个像素0.5个字节) GL_COMPRESSED_RGBA_S3TC_DXT1 (RGBA，...GL_COMPRESSED_RGB : GL_RGB GL_COMPRESSED_RGBA : GL_RGBA GL_COMPRESSED_SRGB : GL_SRGB GL_COMPRESSED_SRGB_ALPHA...: GL_RGBA GL_COMPRESSED_RED : GL_RED GL_COMPRESSED_RG : GL_RG 除了这些压缩格式外，OpenGL中还加入了一些特定的压缩格式，即GL_COMPRESSED_SIGNED_RED_RGTC1
)) AS `压缩大小`, round((sum(data_compressed_bytes) / sum(data_uncompressed_bytes)) * 100, 0) AS `压缩率...)) AS `压缩大小`, round((sum(data_compressed_bytes) / sum(data_uncompressed_bytes)) * 100, 0) AS `压缩率...)) AS `压缩大小`, round((sum(data_compressed_bytes) / sum(data_uncompressed_bytes)) * 100, 0) AS `压缩率...) as data_compressed_bytes, (data_compressed_bytes / data_uncompressed_bytes) * 100 as compress_rate...) as data_compressed_bytes, (data_compressed_bytes / data_uncompressed_bytes) * 100 as compress_rate
* compressed, size_t compressed_length,...(const char* compressed, size_t compressed_length) Rust...(compressed: *const u8, compressed_length: size_t) -> c_int;...Rust 代码为 compressed: *mut u8，C 代码为 char* compressed。...Rust 代码为 compressed_length: *mut size_t， C 代码为 size_t* compressed_length。
Compressed 15856 bytes to 10276......Compressed 221392 bytes to 114130......Compressed 3072 bytes to 128......Compressed 3072 bytes to 128......Compressed 3072 bytes to 128...
1) 对test文件进行压缩 [root@localhost opt]# lz4 test Compressed filename will be : test.lz4 Compressed 8 bytes...filename will be : test.lz4 Compressed 8 bytes into 27 bytes ==> 337.50% [root@localhost opt]# ls test...filename will be : test.lz4 Compressed 8 bytes into 27 bytes ==> 337.50% [root@localhost opt]# ls...test test.lz4 当出现同名压缩文件时，直接压缩默认会有是否覆盖的提示信息 [root@localhost opt]# lz4 -9 test Compressed filename...]# lz4 -9 -f test Compressed filename will be : test.lz4 Compressed 8 bytes into 27 bytes ==> 337.50%
bunzip2 (1) - a block-sorting file compressor, v1.0.6 bzcmp (1) - compare bzip2 compressed...files bzdiff (1) - compare bzip2 compressed files bzegrep (1) - search possibly bzip2...compressed files for a regular expression bzfgrep (1) - search possibly bzip2 compressed files...for a regular expression bzgrep (1) - search possibly bzip2 compressed files for a regular...text bzmore (1) - file perusal filter for crt viewing of bzip2 compressed text funzip (1)
Class Space Size + Metaspace area (excluding the Compressed Class Space) Size 查看CompressedClassSpace...tag=area:nonheap&tag=id:Compressed% 20Class%20Space" HTTP/1.1 200 Content-Disposition: inline;filename...Class Space Size + Metaspace area (excluding the Compressed Class Space) Size 查看CompressedClassSpace...Class Space)及Class Space) 使用JMX来获取NON_HEAP类型中的name为Metaspace及Compressed Class Space的MemoryPoolMXBean...可以得到Metaspace及Compressed Class Space的使用情况(JMX得到的Metaspace为总的部分，而Metaspace area (excluding the Compressed
00.000","endsAt":"'${future_date}'T23:00:00.000","createdBy":"jaylen","comment":"tmp","id":null}' \ --compressed...00.000","endsAt":"'${future_date}'T23:00:00.000","createdBy":"jaylen","comment":"tmp","id":null}' \ --compressed...00.000","endsAt":"'${future_date}'T23:00:00.000","createdBy":"jaylen","comment":"tmp","id":null}' \ --compressed...00.000","endsAt":"'${future_date}'T23:00:00.000","createdBy":"jaylen","comment":"tmp","id":null}' \ --compressed...00.000","endsAt":"'${future_date}'T23:00:00.000","createdBy":"jaylen","comment":"tmp","id":null}' \ --compressed
* * Both compressed and not compressed nodes can represent a key * with associated data in...Finally, if the * search stopped in a compressed node, '*splitpos' returns the index * inside the compressed...present in compressed nodes)...present in compressed nodes)...= len) { debugf("ALGO 1: Stopped at compressed node %.
"${database_name}_${table_name}_${date_str}.sql" fi # 压缩后备份文件名 if [[ -z "$table_name" ]]; then compressed_backup_file_name...="${database_name}_${date_str}.tar.gz" else compressed_backup_file_name="${database_name}_${table_name...="${backup_dir}/${compressed_backup_file_name}" # 检查备份目录是否存在，如果不存在则创建 if [[ !..." "$backup_file_path" # 删除备份文件 rm -f "$backup_file_path" # 检查备份结果 if [[ -f "$compressed_backup_file_path...echo "备份文件路径：$compressed_backup_file_path" subject="MySQL备份成功" body="MySQL备份成功，备份文件路径：$compressed_backup_file_path
pythonCopy code# 重新构建图像compressed_image = compressed_pixels.reshape(image.shape)6....pythonCopy code# 保存图像cv2.imwrite('compressed_image.jpg', compressed_image)实例下面是一个完整的示例代码，展示了如何使用K-Means...= kmeans.cluster_centers_[kmeans.labels_]# 重新构建图像compressed_image = compressed_pixels.reshape(image.shape...)# 保存图像cv2.imwrite('compressed_image.jpg', compressed_image)当谈到K-Means聚类算法的实际应用时，图像压缩是其中之一。...).astype('uint8')# 保存压缩后的图像cv2.imwrite('compressed_image.jpg', compressed_image)# 显示原始图像和压缩后的图像cv2.imshow
下面是一段Java代码，演示如何使用ZipOutputStream类来创建一个名为“compressed.zip”压缩文件，并向其中添加两个文件： import java.io.*; import java.util.zip...{ byte[] buffer = new byte[1024]; try { FileOutputStream fos = new FileOutputStream("compressed.zip...接着，我们将需要压缩的两个文件存储到一维数组变量files中，每次循环对其中一个文件进行处理，在ZipOutputStream建立的压缩文件compressed.zip中添加这个文件，并关闭压缩项。...下面是一段Java代码，展示如何使用GZIPOutputStream类来创建一个名为“compressed.gz”压缩文件： import java.io.*; import java.util.zip...在while循环中，我们将从输入文件input.txt读取数据，并将其写入压缩输出流compressed.gz中。最后，我们关闭整个压缩过程。 文件解压是指将一个已经压缩的文件恢复到原始状态。
ZipFile zipFile = new ZipFile("compressed.zip", "password".toCharArray());zipFile.addFolder(new File(...ZipFile zipFile = new ZipFile("compressed.zip", "password".toCharArray());int splitLength = 1024 * 1024...我们可以用extractAll()方法从我们的compressed.zip中提取所有文件。...");提取单个文件如果我们只想从compressed.zip中提取一个文件，我们可以使用extractFile()方法。...ZipFile zipFile = new ZipFile("compressed.zip", "password".toCharArray());zipFile.extractFile("aFile.txt
Joliet extensions to ISO9660，UDF 1.02，UDF 1.50[3] 支持的DMG镜像类型:UDRO - UDIF read-only imageUDCO - UDIF ADC-compressed...imageUDZO - UDIF zlib-compressed imageUDBZ - UDIF bzip2-compressed imageULFO - compressed (lzfse)ULMO...- compressed (lzma)UFBI - UDIF entire image with MD5 checksumIPOD - iPod imageUDxx - UDIF stub imageUDRW
Image Name: Linux−2.4.25 Image Type: PowerPC Linux Kernel Image (gzip compressed) Data Size: 1003065...GUNZIP ERROR − must RESET board to recover Answer: Your kernel p_w_picpath is quite big − nearly 1 MB compressed...But your compressed p_w_picpath was stored at 1 MB (0x100000), so the uncompressed code will overwrite...the (remaining) compressed p_w_picpath....The solution is thus simple: just use a higher address to download the compressed p_w_picpath into RAM
= gzcompress('Compress me', 9); echo $compressed; // x�s��-(J-.V�M�?...compressed; // s��-(J-.V�M�jM4 echo PHP_EOL; echo gzdecode($compressed); // Compress me echo PHP_EOL...('Compress me', 9); echo $compressed; // s��-(J-.V�M echo PHP_EOL; echo gzinflate($compressed); // Compress...// 通用压缩函数 $compressed = zlib_encode('Compress me', ZLIB_ENCODING_GZIP, 9); echo $compressed; // ZLIB_ENCODING_RAW..., "数据压缩", ZLIB_NO_FLUSH); $compressed .= deflate_add($deflateContext, "，更多数据", ZLIB_NO_FLUSH); $compressed
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