http://52.11.56.155:7180/
http://52.11.56.155:8888/
impala-shell -i 172.31.25.244
sudo -u hdfs hdfs dfs -du -h /
http://54.149.20.119:25000/
第一步：
准备工作
生成tpc-h测试数据
在TPC-H的官网http://www.tpc.org/tpch/上下载dbgen工具http://www.tpc.org/tpch/spec/tpch_2_17_0.zip
[[email protected] training]# wget http://www.tpc.org/tpch/spec/tpch_2_17_0.zip
确认下载后的结果：
[[email protected] training]# ls
tpch_2_17_0.zip
如果没有安装解压工具，请安装解压工具
[[email protected] training]# yum install unzip
解压tpc-h数据生成工具，确认加压结果:
[[email protected] training]# unzip tpch_2_17_0.zip
[[email protected] training]# ls
__MACOSX tpch_2_17_0 tpch_2_17_0.zip
切换到相应目录并修改参数
[[email protected] training]# cd tpch_2_17_0
[[email protected] tpch_2_17_0]# ls
dbgen dev-tools ref_data
[[email protected] tpch_2_17_0]# cd dgben
[[email protected] dbgen]# ls
answers bm_utils.c check_answers dbgen.dsp dss.ddl dsstypes.h makefile.suite PORTING.NOTES qgen.vcproj reference rnd.h shared.h text.c tpch.sln variants
bcd2.c BUGS column_split.sh dists.dss dss.h HISTORY permute.c print.c queries release.h rng64.c speed_seed.c tpcd.h tpch.vcproj varsub.c
bcd2.h build.c config.h driver.c dss.ri load_stub.c permute.h qgen.c README rnd.c rng64.h tests tpch.dsw update_release.sh
[[email protected] dbgen]# cp makefile.suite makefile
[[email protected] dbgen]# vi makefile
将其中的如下几行：
CC =
DATABASE=
MACHINE =
WORKLOAD =
修改成:
CC = gcc
DATABASE= ORACLE
MACHINE = LINUX
WORKLOAD = TPCH
构建生成工具
[[email protected] dbgen]# make
查看结果
[[email protected] dbgen]# ls
answers bm_utils.c build.o dbgen driver.o dsstypes.h makefile permute.o qgen queries rnd.c rng64.h speed_seed.o tpcd.h update_release.sh
bcd2.c bm_utils.o check_answers dbgen.dsp dss.ddl HISTORY makefile.suite PORTING.NOTES qgen.c README rnd.h rng64.o tests tpch.dsw variants
bcd2.h BUGS column_split.sh dists.dss dss.h load_stub.c permute.c print.c qgen.o reference rnd.o shared.h text.c tpch.sln varsub.c
bcd2.o build.c config.h driver.c dss.ri load_stub.o permute.h print.o qgen.vcproj release.h rng64.c speed_seed.c text.o tpch.vcproj varsub.o
发现多了两个两个可执行文件dbgen和ggen
切换到dbgen目录下并运行生生数据程序
[[email protected] dbgen]# ./dbgen -s 10
查看运行结果：
[[email protected] dbgen]# ls *.tbl
customer.tbl lineitem.tbl nation.tbl orders.tbl partsupp.tbl part.tbl region.tbl supplier.tbl
第二步：
将数据写入hdfs
[[email protected] dbgen]# hdfs dfs -mkdir /user/training
[[email protected] dbgen]# hdfs dfs -mkdir /user/training/tpch
[[email protected] dbgen]# hdfs dfs -mkdir /user/training/tpch/customer
[[email protected] dbgen]# hdfs dfs -mkdir /user/training/tpch/lineitem
[[email protected] dbgen]# hdfs dfs -mkdir /user/training/tpch/nation
[[email protected] dbgen]# hdfs dfs -mkdir /user/training/tpch/orders
[[email protected] dbgen]# hdfs dfs -mkdir /user/training/tpch/part
[[email protected] dbgen]# hdfs dfs -mkdir /user/training/tpch/partsupp
[[email protected] dbgen]# hdfs dfs -mkdir /user/training/tpch/region
[[email protected] dbgen]# hdfs dfs -mkdir /user/training/tpch/supplier
[[email protected] dbgen]# hdfs dfs -put customer.tbl /user/training/tpch/customer
[[email protected] dbgen]# hdfs dfs -put lineitem.tbl /user/training/tpch/lineitem
[[email protected] dbgen]# hdfs dfs -put nation.tbl /user/training/tpch/nation
[[email protected] dbgen]# hdfs dfs -put orders.tbl /user/training/tpch/orders
[[email protected] dbgen]# hdfs dfs -put part.tbl /user/training/tpch/part
[[email protected] dbgen]# hdfs dfs -put partsupp.tbl /user/training/tpch/partsupp
[[email protected] dbgen]# hdfs dfs -put region.tbl /user/training/tpch/region
[[email protected] dbgen]# hdfs dfs -put supplier.tbl /user/training/tpch/supplier
大家可以看一下数据大小以及数据的分布情况,每个表的大小
第三步：
进入hue界面
http://52.11.56.155:8888/
用户名admin,密码admin
进入Query Editors —> Hive
同时打开另一个标签页，进入进入Query Editors —> Impala
创建数据库和表
—-创建数据库
在hive标签页中输入
create database training
在界面左边的DataBase部分，点击刷新之后就可以看到新建的数据库training
选中该数据库，然后再右边的编辑窗口中输入以下建表语句:
在hive标签页执行
-- create tables and load data
create external table customer (C_CUSTKEY INT, C_NAME STRING, C_ADDRESS STRING, C_NATIONKEY INT, C_PHONE STRING, C_ACCTBAL DOUBLE, C_MKTSEGMENT STRING, C_COMMENT STRING) ROW FORMAT DELIMITED FIELDS TERMINATED BY ‘|‘ STORED AS TEXTFILE LOCATION ‘/user/training/tpch/customer‘;
create external table lineitem (L_ORDERKEY INT, L_PARTKEY INT, L_SUPPKEY INT, L_LINENUMBER INT, L_QUANTITY DOUBLE, L_EXTENDEDPRICE DOUBLE, L_DISCOUNT DOUBLE, L_TAX DOUBLE, L_RETURNFLAG STRING, L_LINESTATUS STRING, L_SHIPDATE STRING, L_COMMITDATE STRING, L_RECEIPTDATE STRING, L_SHIPINSTRUCT STRING, L_SHIPMODE STRING, L_COMMENT STRING) ROW FORMAT DELIMITED FIELDS TERMINATED BY ‘|‘ STORED AS TEXTFILE LOCATION ‘/user/training/tpch/lineitem‘;
create external table nation (N_NATIONKEY INT, N_NAME STRING, N_REGIONKEY INT, N_COMMENT STRING) ROW FORMAT DELIMITED FIELDS TERMINATED BY ‘|‘ STORED AS TEXTFILE LOCATION ‘/user/training/tpch/nation‘;
create external table orders (O_ORDERKEY INT, O_CUSTKEY INT, O_ORDERSTATUS STRING, O_TOTALPRICE DOUBLE, O_ORDERDATE STRING, O_ORDERPRIORITY STRING, O_CLERK STRING, O_SHIPPRIORITY INT, O_COMMENT STRING) ROW FORMAT DELIMITED FIELDS TERMINATED BY ‘|‘ STORED AS TEXTFILE LOCATION ‘/user/training/tpch/orders‘;
create external table part (P_PARTKEY INT, P_NAME STRING, P_MFGR STRING, P_BRAND STRING, P_TYPE STRING, P_SIZE INT, P_CONTAINER STRING, P_RETAILPRICE DOUBLE, P_COMMENT STRING) ROW FORMAT DELIMITED FIELDS TERMINATED BY ‘|‘ STORED AS TEXTFILE LOCATION ‘/user/training/tpch/part‘;
create external table partsupp (PS_PARTKEY INT, PS_SUPPKEY INT, PS_AVAILQTY INT, PS_SUPPLYCOST DOUBLE, PS_COMMENT STRING) ROW FORMAT DELIMITED FIELDS TERMINATED BY ‘|‘ STORED AS TEXTFILE LOCATION‘/user/training/tpch/partsupp‘;
create external table region (R_REGIONKEY INT, R_NAME STRING, R_COMMENT STRING) ROW FORMAT DELIMITED FIELDS TERMINATED BY ‘|‘ STORED AS TEXTFILE LOCATION ‘/user/training/tpch/region‘;
create external table supplier (S_SUPPKEY INT, S_NAME STRING, S_ADDRESS STRING, S_NATIONKEY INT, S_PHONE STRING, S_ACCTBAL DOUBLE, S_COMMENT STRING) ROW FORMAT DELIMITED FIELDS TERMINATED BY ‘|‘ STORED AS TEXTFILE LOCATION ‘/user/training/tpch/supplier‘;
-- create orc tables;
create table customer_orc (C_CUSTKEY INT, C_NAME STRING, C_ADDRESS STRING, C_NATIONKEY INT, C_PHONE STRING, C_ACCTBAL DOUBLE, C_MKTSEGMENT STRING, C_COMMENT STRING) STORED AS orc;
create table lineitem_orc (L_ORDERKEY INT, L_PARTKEY INT, L_SUPPKEY INT, L_LINENUMBER INT, L_QUANTITY DOUBLE, L_EXTENDEDPRICE DOUBLE, L_DISCOUNT DOUBLE, L_TAX DOUBLE, L_RETURNFLAG STRING, L_LINESTATUS STRING, L_SHIPDATE STRING, L_COMMITDATE STRING, L_RECEIPTDATE STRING, L_SHIPINSTRUCT STRING, L_SHIPMODE STRING, L_COMMENT STRING) STORED AS orc;
create table nation_orc (N_NATIONKEY INT, N_NAME STRING, N_REGIONKEY INT, N_COMMENT STRING) STORED AS orc;
create table orders_orc (O_ORDERKEY INT, O_CUSTKEY INT, O_ORDERSTATUS STRING, O_TOTALPRICE DOUBLE, O_ORDERDATE STRING, O_ORDERPRIORITY STRING, O_CLERK STRING, O_SHIPPRIORITY INT, O_COMMENT STRING) STORED AS orc;
create table part_orc (P_PARTKEY INT, P_NAME STRING, P_MFGR STRING, P_BRAND STRING, P_TYPE STRING, P_SIZE INT, P_CONTAINER STRING, P_RETAILPRICE DOUBLE, P_COMMENT STRING) STORED AS orc;
create table partsupp_orc (PS_PARTKEY INT, PS_SUPPKEY INT, PS_AVAILQTY INT, PS_SUPPLYCOST DOUBLE, PS_COMMENT STRING) STORED AS orc;
create table region_orc (R_REGIONKEY INT, R_NAME STRING, R_COMMENT STRING) STORED AS orc;
create table supplier_orc (S_SUPPKEY INT, S_NAME STRING, S_ADDRESS STRING, S_NATIONKEY INT, S_PHONE STRING, S_ACCTBAL DOUBLE, S_COMMENT STRING) STORED AS orc;
在Impala标签页执行
-- create parquet tables
create table customer_parquet (C_CUSTKEY INT, C_NAME STRING, C_ADDRESS STRING, C_NATIONKEY INT, C_PHONE STRING, C_ACCTBAL DOUBLE, C_MKTSEGMENT STRING, C_COMMENT STRING) STORED AS parquet;
create table lineitem_parquet (L_ORDERKEY INT, L_PARTKEY INT, L_SUPPKEY INT, L_LINENUMBER INT, L_QUANTITY DOUBLE, L_EXTENDEDPRICE DOUBLE, L_DISCOUNT DOUBLE, L_TAX DOUBLE, L_RETURNFLAG STRING, L_LINESTATUS STRING, L_SHIPDATE STRING, L_COMMITDATE STRING, L_RECEIPTDATE STRING, L_SHIPINSTRUCT STRING, L_SHIPMODE STRING, L_COMMENT STRING) STORED AS parquet;
create table nation_parquet (N_NATIONKEY INT, N_NAME STRING, N_REGIONKEY INT, N_COMMENT STRING) STORED AS parquet;
create table orders_parquet (O_ORDERKEY INT, O_CUSTKEY INT, O_ORDERSTATUS STRING, O_TOTALPRICE DOUBLE, O_ORDERDATE STRING, O_ORDERPRIORITY STRING, O_CLERK STRING, O_SHIPPRIORITY INT, O_COMMENT STRING) STORED AS parquet;
create table part_parquet (P_PARTKEY INT, P_NAME STRING, P_MFGR STRING, P_BRAND STRING, P_TYPE STRING, P_SIZE INT, P_CONTAINER STRING, P_RETAILPRICE DOUBLE, P_COMMENT STRING) STORED AS parquet;
create table partsupp_parquet (PS_PARTKEY INT, PS_SUPPKEY INT, PS_AVAILQTY INT, PS_SUPPLYCOST DOUBLE, PS_COMMENT STRING) STORED AS parquet;
create table region_parquet (R_REGIONKEY INT, R_NAME STRING, R_COMMENT STRING) STORED AS parquet;
create table supplier_parquet (S_SUPPKEY INT, S_NAME STRING, S_ADDRESS STRING, S_NATIONKEY INT, S_PHONE STRING, S_ACCTBAL DOUBLE, S_COMMENT STRING) STORED AS parquet;
—hive: load data to orc format
insert overwrite table lineitem_orc select * from lineitem;
insert overwrite table customer_orc select * from customer;
insert overwrite table nation_orc select * from nation;
insert overwrite table orders_orc select * from orders;
insert overwrite table part_orc select * from part;
insert overwrite table partsupp_orc select * from partsupp;
insert overwrite table region_orc select * from region;
insert overwrite table supplier_orc select * from supplier;
—impala: load data to parquet format
insert overwrite table lineitem_parquet select * from lineitem;
insert overwrite table customer_parquet select * from customer;
insert overwrite table nation_parquet select * from nation;
insert overwrite table orders_parquet select * from orders;
insert overwrite table part_parquet select * from part;
insert overwrite table partsupp_parquet select * from partsupp;
insert overwrite table region_parquet select * from region;
insert overwrite table supplier_parquet select * from supplier;
—impala compute stats
compute stats customer;
compute stats lineitem;
compute stats nation;
compute stats orders;
compute stats part;
compute stats partsupp;
compute stats region;
compute stats supplier;
compute stats customer_parquet;
compute stats lineitem_parquet;
compute stats nation_parquet;
compute stats orders_parquet;
compute stats part_parquet;
compute stats partsupp_parquet;
compute stats region_parquet;
compute stats supplier_parquet;
第四步：
--Query1:单表统计分析
--hive
-- hive+text
SELECT
L_RETURNFLAG, L_LINESTATUS, SUM(L_QUANTITY), SUM(L_EXTENDEDPRICE), SUM(L_EXTENDEDPRICE*(1-L_DISCOUNT)), SUM(L_EXTENDEDPRICE*(1-L_DISCOUNT)*(1+L_TAX)), AVG(L_QUANTITY), AVG(L_EXTENDEDPRICE), AVG(L_DISCOUNT), COUNT(1)
FROM
lineitem
WHERE
L_SHIPDATE<=‘1998-09-02‘
GROUP BY L_RETURNFLAG, L_LINESTATUS
ORDER BY L_RETURNFLAG, L_LINESTATUS;
-- hive+orc
SELECT
L_RETURNFLAG, L_LINESTATUS, SUM(L_QUANTITY), SUM(L_EXTENDEDPRICE), SUM(L_EXTENDEDPRICE*(1-L_DISCOUNT)), SUM(L_EXTENDEDPRICE*(1-L_DISCOUNT)*(1+L_TAX)), AVG(L_QUANTITY), AVG(L_EXTENDEDPRICE), AVG(L_DISCOUNT), COUNT(1)
FROM
lineitem_orc
WHERE
L_SHIPDATE<=‘1998-09-02‘
GROUP BY L_RETURNFLAG, L_LINESTATUS
ORDER BY L_RETURNFLAG, L_LINESTATUS;
-- impala+text
SELECT
L_RETURNFLAG, L_LINESTATUS, SUM(L_QUANTITY), SUM(L_EXTENDEDPRICE), SUM(L_EXTENDEDPRICE*(1-L_DISCOUNT)), SUM(L_EXTENDEDPRICE*(1-L_DISCOUNT)*(1+L_TAX)), AVG(L_QUANTITY), AVG(L_EXTENDEDPRICE), AVG(L_DISCOUNT), COUNT(1)
FROM
lineitem
WHERE
L_SHIPDATE<=‘1998-09-02‘
GROUP BY L_RETURNFLAG, L_LINESTATUS
ORDER BY L_RETURNFLAG, L_LINESTATUS;
--impala+parquet
SELECT
L_RETURNFLAG, L_LINESTATUS, SUM(L_QUANTITY), SUM(L_EXTENDEDPRICE), SUM(L_EXTENDEDPRICE*(1-L_DISCOUNT)), SUM(L_EXTENDEDPRICE*(1-L_DISCOUNT)*(1+L_TAX)), AVG(L_QUANTITY), AVG(L_EXTENDEDPRICE), AVG(L_DISCOUNT), cast(COUNT(1) as int)
FROM
lineitem_parquet
WHERE
L_SHIPDATE<=‘1998-09-02‘
GROUP BY L_RETURNFLAG, L_LINESTATUS
ORDER BY L_RETURNFLAG, L_LINESTATUS;
第五步:
--Query2:多表联合查询
--hive+text
select
l_orderkey, sum(l_extendedprice*(1-l_discount)) as revenue, o_orderdate, o_shippriority
from
customer c join orders o
on c.c_mktsegment = ‘BUILDING‘ and c.c_custkey = o.o_custkey
join lineitem l
on l.l_orderkey = o.o_orderkey
where
o_orderdate < ‘1995-03-15‘ and l_shipdate > ‘1995-03-15‘
group by l_orderkey, o_orderdate, o_shippriority
order by revenue desc, o_orderdate
limit 10;
--hive+orc
select
l_orderkey, sum(l_extendedprice*(1-l_discount)) as revenue, o_orderdate, o_shippriority
from
customer_orc c join orders_orc o
on c.c_mktsegment = ‘BUILDING‘ and c.c_custkey = o.o_custkey
join lineitem_orc l
on l.l_orderkey = o.o_orderkey
where
o_orderdate < ‘1995-03-15‘ and l_shipdate > ‘1995-03-15‘
group by l_orderkey, o_orderdate, o_shippriority
order by revenue desc, o_orderdate
limit 10;
--impala+text
select
l_orderkey, sum(l_extendedprice*(1-l_discount)) as revenue, o_orderdate, o_shippriority
from
customer c join orders o
on c.c_mktsegment = ‘BUILDING‘ and c.c_custkey = o.o_custkey
join lineitem l
on l.l_orderkey = o.o_orderkey
where
o_orderdate < ‘1995-03-15‘ and l_shipdate > ‘1995-03-15‘
group by l_orderkey, o_orderdate, o_shippriority
order by revenue desc, o_orderdate
limit 10;
--impala+parquet
select
l_orderkey, sum(l_extendedprice*(1-l_discount)) as revenue, o_orderdate, o_shippriority
from
customer_parquet c join orders_parquet o
on c.c_mktsegment = ‘BUILDING‘ and c.c_custkey = o.o_custkey
join lineitem_parquet l
on l.l_orderkey = o.o_orderkey
where
o_orderdate < ‘1995-03-15‘ and l_shipdate > ‘1995-03-15‘
group by l_orderkey, o_orderdate, o_shippriority
order by revenue desc, o_orderdate
limit 10;
—-hdfs
数据的块分布
--hive演示要点：
1. Hive的Shell执行方式和Hue界面对比
2. Hive建表语句，Hive查询，统计分析，多表关联查询和统计
3. Hive的运行原理
4. Hive的SQL执行速度问题
5. 系统资源使用情况
6. 并发访问的问题，资源使用
--impala演示
1. impala shell与Hue
2. impala与hive执行速度的对比
3. orc,parquet的压缩比
4. parquet的运行效率提升
5. 系统资源使用情况
6. impala的运行原理
7. impala运行时统计信息,impala的诊断和调优