snappy

可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效，请关闭广告屏蔽插件后再试): 问题: I want to install parquet for python using pip within an Anaconda 2 installation on Windows 10. While installing I ran into the error that is described here , the installer can't find snappy-c.h . There is no mention on how to install this on Windows in the answers. I downloaded the Snappy library from http://google.github.io/snappy/ and now I'm stuck. From my error message I would have assumed that the header files need to be in C:\Users\...\AppData\Local\Continuum\Anaconda2\include , but in the downlaoded archive header and library files

可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效，请关闭广告屏蔽插件后再试): 问题: I have install leveldb in my home directory ~/local like this. [~/temp/leveldb-1.15.0] $ make [~/temp/leveldb-1.15.0] $ cp -av libleveldb.* $HOME/local/lib/ [~/temp/leveldb-1.15.0] $ cp -av include/leveldb $HOME/local/include/ My c++ program like this： #include <assert.h> #include <iostream> #include "leveldb/db.h" using namespace std; int main(int argc,char * argv[]) { leveldb::DB* db; leveldb::Options options; options.create_if_missing = true; std::string dbpath = "tdb"; leveldb::Status status = leveldb::DB::Open(options, dbpath, &db);

Impala 如何使用 Hadoop 文件格式 Impala 支持几种熟悉的 Apache Hadoop 中使用的文件格式。Impala 可以加载或查询其他 Hadoop 组件如 Pig 或 MapReduce 产生的数据文件，并且 Impala 产生的数据文件也可以被其他组件使用。下面的章节讨论 Impala 使用各种文件格式的步骤、限制和性能注意事项。 Impala 表使用的文件格式具有重要的性能意义。一些文件格式包括压缩支持，会影响到硬盘上数据的大小，因此，也影响反序列化数据时所需的 I/O 和 CPU 资源的数量。因为查询通常以移动和解压缩数据开始，所需的 I/O 和 CPU 资源是查询性能的限制因素。为了避免处理过程中这一部分潜在的冲突，数据通常进行压缩。通过压缩数据，更小的字节数从硬盘传输给内存。这减少了传输数据的时间，但应权衡考虑 CPU 解压缩内容的时间。 Impala 可以查询 Hadoop 中最通用的文件编码和压缩编码(Impala can query files encoded with most of the popular file formats and compression codecs used in Hadoop)。Impala 可以创建并插入数据到部分而不是全部文件格式；对于 Impala 无法写入的文件格式，在 Hive 中创建这些表，在

可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效，请关闭广告屏蔽插件后再试): 问题: ERROR [WRITE-/10.10.35.30] 2013-06-19 23:15:56,907 CassandraDaemon.java (line 175) Exception in thread Thread[WRITE-/10.10.35.30,5,main] java.lang.NoClassDefFoundError: Could not initialize class org.xerial.snappy.Snappy at org.xerial.snappy.SnappyOutputStream.<init>(SnappyOutputStream.java:79) at org.xerial.snappy.SnappyOutputStream.<init>(SnappyOutputStream.java:66) at org.apache.cassandra.net.OutboundTcpConnection.connect(OutboundTcpConnection.java:341) at org.apache.cassandra.net.OutboundTcpConnection.run(OutboundTcpConnection.java:143)

可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效，请关闭广告屏蔽插件后再试): 问题: I am running a few tests on the storage formats available with Hive and using Parquet and ORC as major options. I included ORC once with default compression and once with Snappy. I have read many a documents that state Parquet to be better in time/space complexity as compared to ORC but my tests are opposite to the documents I went through. Follows some details of my data. Table A- Text File Format- 2.5GB Table B - ORC - 652MB Table C - ORC with Snappy - 802MB Table D - Parquet - 1.9 GB Parquet was worst as far as compression for my table is

可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效，请关闭广告屏蔽插件后再试): 问题: I have installed installed the following modules in my EC2 server which already has python (3.6) & anaconda installed : snappy pyarrow s3fs fastparquet except fastparquet everything else works on importing. When I try to import fastparquet it throws the following error : [username@ip8 ~]$ conda -V conda 4.2.13 [username@ip-~]$ python Python 3.6.0 |Anaconda custom (64-bit)| (default, Dec 23 2016, 12:22:00) [GCC 4.4.7 20120313 (Red Hat 4.4.7-1)] on linux Type "help", "copyright", "credits" or "license" for more information. import fastparquet

可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效，请关闭广告屏蔽插件后再试): 问题: I'm new to symfony2 and very to use external libraries. I want to use the KNP Snappy Bundle , my first third party bundle. I did exactly that is told in the git link. { "require": { "knplabs/knp-snappy-bundle": "dev-master" } } // app/AppKernel.php public function registerBundles() { $bundles = array( //... new Knp\Bundle\SnappyBundle\KnpSnappyBundle(), app/config/config.yml knp_snappy: pdf: enabled: true binary: /usr/local/bin/wkhtmltopdf options: [] image: enabled: true binary: /usr/local/bin/wkhtmltoimage options: [] Then I added

可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效，请关闭广告屏蔽插件后再试): 问题: I am using amazon ec2 ubuntu 11.04 server sudo pip install python-snappy also I tried to downloaded package and entered "sudo python setup.py install" I got the error: running build running build_ext building 'snappy' extension gcc -pthread -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fPIC -I/usr/include/python2.7 -c snappymodule.cc -o build/temp.linux-x86_64-2.7/snappymodule.o cc1plus: warning: command line option ‘-Wstrict-prototypes’ is valid for Ada/C/ObjC but not for C++ [enabled by default] snappymodule.cc:31

可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效，请关闭广告屏蔽插件后再试): 问题: I'm using wkhtmltopdf to generate my pdf files. I've left the generation alone for some time and for whatever reason it's not generating the header and footer anymore. Things I've tried so far (will update this when more answers come in): Having the doctype , html , head and body tags ion the header and footer Chaning the paths to the header and footer to absolute paths (Even using complete absolute paths from the drive forward C:/xampp... does not work.) It might be worth pointing out that changing the filename to something that doesn't

可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效，请关闭广告屏蔽插件后再试): 问题: java.lang.RuntimeException: native snappy library not available: this version of libhadoop was built without snappy support. at org.apache.hadoop.io.compress.SnappyCodec.checkNativeCodeLoaded(SnappyCodec.java:65) at org.apache.hadoop.io.compress.SnappyCodec.getCompressorType(SnappyCodec.java:134) at org.apache.hadoop.io.compress.CodecPool.getCompressor(CodecPool.java:150) i am using hadoop 2.7.3 version and hive 2.1.1 version 回答1: I have the same problem with you and I solved it. As the error hint, the problem is libhadoop.so library that is