kudo導入文件（基於impalad）
阿新 • • 發佈：2019-04-24
one img lds res info commands error: modified c11
kudo是cloudera開源的運行在hadoop平臺上的列式存儲系統,擁有Hadoop生態系統應用的常見技術特性，運行在一般的商用硬件上，支持水平擴展,高可用,集成impalad後，支持標準sql語句，相對於hbase易用性強，詳細介紹。
impalad是Cloudera公司主導開發的新型查詢系統，它提供SQL語義，能查詢存儲在Hadoop的HDFS和HBase中的PB級大數據。已有的Hive系統雖然也提供了SQL語義，但由於Hive底層執行使用的是MapReduce引擎，仍然是一個批處理過程，難以滿足查詢的交互性。相比之下，Impala的最大特點也是最大賣點就是它的快速，導入數據實測可達30+W/s,詳細介紹。
導入流程：準備數據--》上傳hdfs--》導入impalad臨時表--》導入kudu表
1.準備數據
[email protected]:/iot/develop/pujh>cat genBiData.sh #!/usr/bash date echo ‘‘>data.txt chmod 777 data.txt for((i=1;i<=20593279;i++)) do echo "$i|aa$i|aa$i$i|aa$i$i$i" >>data.txt; done; date [email protected]:/iot/develop/pujh> sed ‘s/|/,/g‘ data.txt > temp.csv
[email protected]:/iot/develop/pujh>chmod 777 tmp.csv
2.上傳到hdfs
su - root su - hdfs hadoop dfs -mkdir /input/data/pujh hadoop dfs -chmod -R 777 /input/data/pujh hadoop dfs -put /iot/develop/pujh /input/data/pujh hadoop dfs -ls /input/data/pujh [email protected]:>./hadoop dfs -ls /input/data/pujh DEPRECATED: Use of this script to execute hdfs command is deprecated. Instead use the hdfs command for it. Found 5 items -rwxrwxrwx 3 hdfs supergroup 4 2019-04-24 10:14 /input/data/pujh/aa.txt -rwxrwxrwx 3 hdfs supergroup 1813554712 2019-04-24 10:14 /input/data/pujh/data.txt -rwxrwxrwx 3 hdfs supergroup 1281378694 2019-04-24 10:14 /input/data/pujh/data2kw.csv -rwxrwxrwx 3 hdfs supergroup 1281378694 2019-04-24 10:14 /input/data/pujh/data_2kw.txt -rwxrwxrwx 3 hdfs supergroup 146 2019-04-24 10:14 /input/data/pujh/genBiData.sh
3.導入impalad臨時表
創建impalad臨時表
employee_temp
create table employee_temp ( eid int, name String,salary String, destination String) ROW FORMAT DELIMITED FIELDS TERMINATED BY ‘,‘;[email protected]>./impala-shell
Starting Impala Shell without Kerberos authentication Connected to hadoop02:21000 Server version: impalad version 2.8.0-cdh5.11.2 RELEASE (build f89269c4b96da14a841e94bdf6d4d48821b0d658) *********************************************************************************** Welcome to the Impala shell. (Impala Shell v2.8.0-cdh5.11.2 (f89269c) built on Fri Aug 18 14:04:44 PDT 2017) The HISTORY command lists all shell commands in chronological order. *********************************************************************************** [hadoop02:21000] > show databases; Query: show databases +------------------+----------------------------------------------+ | name | comment | +------------------+----------------------------------------------+ | _impala_builtins | System database for Impala builtin functions | | default | Default Hive database | | td_test | | +------------------+----------------------------------------------+ Fetched 3 row(s) in 0.01s [hadoop02:21000] > show tables; Query: show tables +----------------+ | name | +----------------+ | employee | | my_first_table | +----------------+ Fetched 2 row(s) in 0.00s [hadoop02:21000] > create table employee_temp ( eid int, name String,salary String, destination String) ROW FORMAT DELIMITED FIELDS TERMINATED BY ‘,‘; Query: create table employee_temp ( eid int, name String,salary String, destination String) ROW FORMAT DELIMITED FIELDS TERMINATED BY ‘,‘ Fetched 0 row(s) in 0.32s [hadoop02:21000] > show tables; Query: show tables +----------------+ | name | +----------------+ | employee | | employee_temp | | my_first_table | +----------------+ Fetched 3 row(s) in 0.01s
將hadoop上的文件導入impalad臨時表
load data inpath ‘/input/data/pujh/temp.csv‘ into table employee_temp;
[hadoop02:21000] > load data inpath ‘/input/data/pujh/temp.csv‘ into table employee_temp; Query: load data inpath ‘/input/data/pujh/temp.csv‘ into table employee_temp ERROR: AnalysisException: Unable to LOAD DATA from hdfs://hadoop01:8020/input/data/pujh/temp.csv because Impala does not have WRITE permissions on its parent directory hdfs://hadoop01:8020/input/data/pujh [hadoop02:21000] > load data inpath ‘/input/data/pujh/temp.csv‘ into table employee_temp; Query: load data inpath ‘/input/data/pujh/temp.csv‘ into table employee_temp +----------------------------------------------------------+ | summary | +----------------------------------------------------------+ | Loaded 1 file(s). Total files in destination location: 1 | +----------------------------------------------------------+ Fetched 1 row(s) in 0.44s [hadoop02:21000] > select * from employee_temp limit 2; Query: select * from employee_temp limit 2 Query submitted at: 2019-04-24 10:30:10 (Coordinator: http://hadoop02:25000) Query progress can be monitored at: http://hadoop02:25000/query_plan?query_id=4246eaa38a3d8bbb:953ce4d300000000 +------+------+--------+-------------+ | eid | name | salary | destination | +------+------+--------+-------------+ | NULL | NULL | | | | 1 | aa1 | aa11 | aa111 | +------+------+--------+-------------+ Fetched 2 row(s) in 0.19s [hadoop02:21000] > select * from employee_temp limit 10; Query: select * from employee_temp limit 10 Query submitted at: 2019-04-24 10:30:16 (Coordinator: http://hadoop02:25000) Query progress can be monitored at: http://hadoop02:25000/query_plan?query_id=cb4c3cf5d647c97a:75d2985f00000000 +------+------+--------+-------------+ | eid | name | salary | destination | +------+------+--------+-------------+ | NULL | NULL | | | | 1 | aa1 | aa11 | aa111 | | 2 | aa2 | aa22 | aa222 | | 3 | aa3 | aa33 | aa333 | | 4 | aa4 | aa44 | aa444 | | 5 | aa5 | aa55 | aa555 | | 6 | aa6 | aa66 | aa666 | | 7 | aa7 | aa77 | aa777 | | 8 | aa8 | aa88 | aa888 | | 9 | aa9 | aa99 | aa999 | +------+------+--------+-------------+ Fetched 10 row(s) in 0.02s [hadoop02:21000] > select count(*) from employee_temp; Query: select count(*) from employee_temp Query submitted at: 2019-04-24 10:30:34 (Coordinator: http://hadoop02:25000) Query progress can be monitored at: http://hadoop02:25000/query_plan?query_id=5a4c1107de118395:bfe96a1600000000 +----------+ | count(*) | +----------+ | 20593280 | +----------+ Fetched 1 row(s) in 0.65s
3.從impalad臨時表employee_temp 導入kudu表employee_kudu
創建kudu表
create table employee_kudu ( eid int, name String,salary String, destination String,PRIMARY KEY(eid)) PARTITION BY HASH PARTITIONS 16 STORED AS KUDU;
[hadoop02:21000] > create table employee_kudu ( eid int, name String,salary String, destination String,PRIMARY KEY(eid)) PARTITION BY HASH PARTITIONS 16 STORED AS KUDU; Query: create table employee_kudu ( eid int, name String,salary String, destination String,PRIMARY KEY(eid)) PARTITION BY HASH PARTITIONS 16 STORED AS KUDU Fetched 0 row(s) in 0.94s [hadoop02:21000] > show tables; Query: show tables +----------------+ | name | +----------------+ | employee | | employee_kudu | | employee_temp | | my_first_table |
界面查看是否創建成功
從impalad臨時表employee_temp 導入kudu表employee_kudu
[hadoop02:21000] > insert into employee_kudu select * from employee_temp; Query: insert into employee_kudu select * from employee_temp Query submitted at: 2019-04-24 10:31:37 (Coordinator: http://hadoop02:25000) Query progress can be monitored at: http://hadoop02:25000/query_plan?query_id=2e47536cc5c82392:ef4d552600000000 WARNINGS: Row with null value violates nullability constraint on table ‘impala::default.employee_kudu‘. Modified 20593279 row(s), 1 row error(s) in 78.75s [hadoop02:21000] > select count(*) from employee_kudu; Query: select count(*) from employee_kudu Query submitted at: 2019-04-24 10:33:30 (Coordinator: http://hadoop02:25000) Query progress can be monitored at: http://hadoop02:25000/query_plan?query_id=6d4bad44a980f229:fd7878d00000000 +----------+ | count(*) | +----------+ | 20593279 | +----------+ Fetched 1 row(s) in 0.18s
kudo導入文件（基於impalad）