snappy | 易学教程

How can I open a .snappy.parquet file in python?

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问题 How can I open a .snappy.parquet file in python 3.5? So far, I used this code: import numpy import pyarrow filename = "/Users/T/Desktop/data.snappy.parquet" df = pyarrow.parquet.read_table(filename).to_pandas() But, it gives this error: AttributeError: module 'pyarrow' has no attribute 'compat' P.S. I installed pyarrow this way: pip install pyarrow 回答1: The error AttributeError: module 'pyarrow' has no attribute 'compat' is sadly a bit misleading. To execute the to_pandas() function on a

hadoop2.6.0-cdh5.7.1 snappy库配置和使用

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百度网盘链接：hadoop2.6.0-cdh5.7.1 版本的snappy库 https://pan.baidu.com/s/1UNXWFq5_eNyqMAaZGO2VcA 提取码：52tw 1、下载好解压把文件存放到$HADOOP_HOME/lib/native下 hadoop checknative -a 检查是否安装成功 2、如果全部是false，在hadoop-env.sh中添加export HADOOP_ROOT_LOGGER=DEBUG,console 运行hadoop checknative -a来查看详细错误解决方法：在hadoop-env.sh添加： export HADOOP_OPTS="-Djava.library.path=${HADOOP_HOME}/lib/native" 3、安装好使用snappy压缩 3.1先用sqoop导数 ./sqoop import --connect jdbc:mysql://node2:3306/sqoop --username root --password root --query 'select * from test_1 where $CONDITIONS' -m 1 --fields-terminated-by ',' --target-dir /sqoop/ --hive-import --hive

cassandra 1.2 fails to init snappy in freebsd

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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

Methods for writing Parquet files using Python?

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问题 I'm having trouble finding a library that allows Parquet files to be written using Python. Bonus points if I can use Snappy or a similar compression mechanism in conjunction with it. Thus far the only method I have found is using Spark with the pyspark.sql.DataFrame Parquet support. I have some scripts that need to write Parquet files that are not Spark jobs. Is there any approach to writing Parquet files in Python that doesn't involve pyspark.sql ? 回答1: Update (March 2017): There are

Methods for writing Parquet files using Python?

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Cassandra Startup Error 1.2.6 on Linux x86_64

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问题 Trying to install cassandra on linux from latest stable release - http://cassandra.apache.org/download/ - 1.2.6 I have modified the cassndra.yaml to point to a custom directory instead of /var since I do not have write access on /var I am seeing this error on startup. Not able to find any answers on google yet since the release seems relatively new. Just posting it here in case its a silly mistake on my side. Same distribution file worked fine on my macos x86_64 machine. INFO 19:24:35,513 Not

初识树莓派

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大数据时代，随着智能手机、手环等产品的出现，也逐渐对智能硬件产生了兴趣。今天开始研究树莓派，哈哈。树莓派是什么树莓派是全球最小最便宜的个人计算机Raspberry Pi的中文译名，只有信用卡大小，是由英国的Raspberry Pi基金会开发的。最初的设计目的是以超低的硬件价格及开放的自由软件来为发展中国家的学生提供一个基本的计算机编程环境。但是随着树莓派计算机的推出，它已经成为了众多计算机爱好者的新工具，通过树莓派这种超低成本的迷你计算机，可以完成许多以前无法完成的事情，例如将树莓派和摄像头一起放在探空气球中，记录天气情况或者是用它来完成智能家电的控制等。截止到目前，树莓派已发布了第二代产品，在树莓派一代的基础上大幅度的提升了硬件性能，树莓派2基于4核Cortex-A7的Broadcom BCM2836 (ARMv7-A)芯片、双核VideoCore IV GPU和1GB内存，除了可以运行第一代树莓派支持的操作系统外，还将支持Windows 10以及Snappy Ubuntu Core系统。树莓派主要版本配置表如下：购买树莓派大家可以通过e络盟、爱板网、RS中国以及万能的淘宝网进行购买，由于e络盟、RS中国发货太慢，我最终选择了在淘宝网购买，花了264大洋买了RS版本树莓派+黑色外壳。其他需单独购买的配件清单如下： 1、Micro SD卡（TF卡），用于安装系统

How to read Snappy Compressed file from S3 in Java

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问题 Currently we are running MapReduce job in Hadoop in which the output is compressed into SnappyCompression. Then we are moving the output file to S3. Now I want to read the Compressed file from S3 through Java. 回答1: I found the answer to read snappy compressed file from S3. First you should get the object content from S3. And then decompress the file. S3Object s3object = s3Client.getObject(new GetObjectRequest(bucketName,Path)); InputStream inContent = s3object.getObjectContent();

What's the native snappy library when running jar with Hadoop

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问题 There is an Error as notice below when I ran a MapReduce jar in Centos 6.4 . Hadoop Version is 2.6.0 for 64 bit. The MapReduce failed,how can I solve this? Error: 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:64) at org.apache.hadoop.io.compress.SnappyCodec.getCompressorType(SnappyCodec.java:133) at org.apache.hadoop.io.compress

Run LoadIncrementalHFiles from Java client

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问题 I want to call hbase org.apache.hadoop.hbase.mapreduce.LoadIncrementalHFiles /user/myuser/map_data/hfiles mytable method from my Java client code. When I run the application I get the following exception: org.apache.hadoop.hbase.io.hfile.CorruptHFileException: Problem reading HFile Trailer from file webhdfs://myserver.de:50070/user/myuser/map_data/hfiles/b/b22db8e263b74a7dbd8e36f9ccf16508 at org.apache.hadoop.hbase.io.hfile.HFile.pickReaderVersion(HFile.java:477) at org.apache.hadoop.hbase.io