Apache Hawq功能测试脚本

Posted 2020-12-30

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一. TPC-H编译

1.下载工具TPC-H

2. 拷贝生成makefile，并修改makefile

/opt/tpc-h-v2.17.0/dbgen
cp makefile.suite makefile

修改makefile
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3.编译

make -f makefile

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4.生成数据

dbgen -v -U 1 -s 1

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./dbgen

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5.创建数据库以及相关表格语句

--create database tpch;
c tpch;

--1. region
drop table if exists region;
create table region(
r_regionkey integer,
r_name char(25),
r_comment varchar(152),
r_extra char(1)
)with(appendonly=true,orientation=parquet,compresstype=snappy)
distributed by(r_regionkey);

--2. nation
drop table if exists nation;
create table nation(
n_nationkey integer,
n_name char(25),
n_regionkey integer,
n_comment varchar(152),
n_extra char(1)
)with(appendonly=true,orientation=parquet,compresstype=snappy)
distributed by(n_nationkey);

--3.part
drop table if exists part;
create table part(
p_partkey bigint,
p_name varchar(55),
p_mfgr char(25),
p_brand char(10),
p_type varchar(25),
p_size integer,
p_container varchar(10),
p_retailprice decimal,
p_comment varchar(117),
p_extra char(1)
)with(appendonly=true,orientation=parquet,compresstype=snappy)
distributed by (p_partkey);

--4.supplier
drop table if exists supplier;
create table supplier(
s_suppkey bigint,
s_name char(25),
s_address varchar(40),
s_nationkey int,
s_phone char(15),
s_acctbal decimal,
s_comment varchar(101),
r_extra char(1)
)with(appendonly=true,orientation=parquet,compresstype=snappy)
distributed by (s_suppkey);

--5.partsupp
drop table if exists partsupp;
create table partsupp(
ps_partkey bigint,
ps_suppkey bigint,
ps_availqty integer,
ps_supplycost decimal,
ps_comment varchar(199),
ps_extra char(1)
)with(appendonly=true,orientation=parquet,compresstype=snappy)
distributed by(ps_partkey);

#6.customer
drop table if exists customer;
create table customer(
c_custkey bigint,
c_name char(25),
c_address char(40),
c_nationkey integer,
c_phone char(15),
c_acctbal decimal,
c_mktsegment char(10),
c_comment varchar(117),
c_extra char(1)
)with(appendonly=true,orientation=parquet,compresstype=snappy)
distributed by (c_custkey);

--7.orders
drop table if exists orders;
create table orders(
o_orderkey bigint,
o_custkey bigint,
o_orderstatus char(1),
o_totalprice decimal,
o_orderdate date,
o_orderpriority char(15),
o_clerk char(15),
o_shippriority integer,
o_comment varchar(117),
o_extra char(1)
)with(appendonly=true,orientation=parquet,compresstype=snappy)
distributed by (o_orderkey );

--8.lineitem
drop table if exists lineitem;
create table lineitem(
l_orderkey bigint,
l_partkey bigint,
l_suppkey bigint,
l_linenumber integer,
l_quantity decimal,
l_extendedprice decimal,
l_discount decimal,
l_tax decimal,
l_returnflag char(1),
l_linestatus char(1),
l_shipdate date,
l_commitdate date,
l_receiptdate date,
l_shipinstruct char(25),
l_shipmode char(10),
l_comment varchar(117),
l_extra char(1)
)with(appendonly=true,orientation=parquet,compresstype=snappy)
distributed by (l_linenumber);

6.查询语句在queries目录下 22个

二、创建表空间

1. 创建文件空间配置文件，在master节点上执行

$hawq filespace -o tpc_h_config

文件内容如下：

filespace:fs_tpc_h
fsreplica:3
dfs_url::mycluster/hawq_fs/fs_tpc_h

2. 创建HDFS目录

$hdfs dfs -mkdir /hawq_fs
$hdfs dfs -chown gpadmin:gpadmin /hawq_fs
$hdfs dfs -ls /

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3.创建文件空间

$hawq filespace -c tpc_h_config

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4.创建表空间，psql

create tablespace ts_tpc_h filespace fs_tpc_h;

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5.删除文件空间和表空间

表空间拥有者可以删除，且不能有其他数据对象（如数据库，数据表）使用当前表空间，不能有表空间使用当前文件空间，才可以删除。
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6. 查看当前所有表空间

SELECT spcname AS tblspc, fsname AS filespc,
          fsedbid AS seg_dbid, fselocation AS datadir
   FROM   pg_tablespace pgts, pg_filespace pgfs,
          pg_filespace_entry pgfse
   WHERE  pgts.spcfsoid=pgfse.fsefsoid
          AND pgfse.fsefsoid=pgfs.oid
   ORDER BY tblspc, seg_dbid;

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三、创建数据库和Schema

1. 创建数据库

create database tpc_h with template template0 tablespace ts_tpc_h;

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c tpc_h;

2.创建schema

create schema extschema;

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3. 查看当前schema，函数current_schema()

select current_schema();

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4. 查看当前Schema的搜索路径

show search_path;

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5. 指定schema创建数据表

create external  table extschema.region(
r_regionkey integer,
r_name char(25),
r_comment varchar(152),
r_extra char(1)
)location(‘gpfdist://10.110.17.104:8081/region.tbl‘)
format ‘text‘ (delimiter ‘|‘ null ‘‘ escape ‘OFF‘)
encoding ‘UTF8‘;

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6. 修改SCHEMA的搜索路径

ALTER DATABASE tpc_h SET search_path TO extschema, public;

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退出，重启进入psql客户端

四、创建数据表

执行第一章中的脚本。

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五、创建视图

drop view  if exists v_order_customer ;
create view v_order_customer
as select o.o_orderkey, o.o_custkey, c.c_name,o.o_orderdate
from orders o join customer c on  o.o_custkey=c.c_custkey
where o.o_orderdate>‘1997-01-01‘;

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select * from v_order_customer limit 10;

select * from v_order_customer where o_orderdate<=‘1997-01-01‘;

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六、使用gpfdist加载数据

1. 安装需要的rpm包

yum install -y libevent libyaml apr

2.启动gpfdist文件服务器

gpfdist -d /tmp/data -p 8081 -l ~/log &

3.创建外部表格

--1. region
drop external table if exists ext_region;
create external  table ext_region(
r_regionkey integer,
r_name char(25),
r_comment varchar(152),
r_extra char(1)
)location(‘gpfdist://10.110.17.104:8081/region.tbl‘)
format ‘text‘ (delimiter ‘|‘ null ‘‘ escape ‘OFF‘)
encoding ‘UTF8‘;

--2. nation
drop external  table if exists ext_nation;
create external  table ext_nation(
n_nationkey integer,
n_name char(25),
n_regionkey integer,
n_comment varchar(152),
n_extra char(1)
)location(‘gpfdist://10.110.17.104:8081/nation.tbl‘)
format ‘text‘ (delimiter ‘|‘ null ‘‘ escape ‘OFF‘)
encoding ‘UTF8‘;

--3.part
drop external table if exists ext_part;
create external table ext_part(
p_partkey bigint,
p_name varchar(55),
p_mfgr char(25),
p_brand char(10),
p_type varchar(25),
p_size integer,
p_container varchar(10),
p_retailprice decimal,
p_comment varchar(117),
p_extra char(1)
)location(‘gpfdist://10.110.17.104:8081/part.tbl‘)
format ‘text‘ (delimiter ‘|‘ null ‘‘ escape ‘OFF‘)
encoding ‘UTF8‘;

--4.supplier
drop external  table if exists ext_supplier;
create external  table ext_supplier(
s_suppkey bigint,
s_name char(25),
s_address varchar(40),
s_nationkey int,
s_phone char(15),
s_acctbal decimal,
s_comment varchar(101),
s_extra char(1)
)location(‘gpfdist://10.110.17.104:8081/supplier.tbl‘)
format ‘text‘ (delimiter ‘|‘ null ‘‘ escape ‘OFF‘)
encoding ‘UTF8‘;

--5.partsupp
drop external  table if exists ext_partsupp;
create external  table ext_partsupp(
ps_partkey bigint,
ps_suppkey bigint,
ps_availqty integer,
ps_supplycost decimal,
ps_comment varchar(199),
ps_extra char(1)
)location(‘gpfdist://10.110.17.104:8081/partsupp.tbl‘)
format ‘text‘ (delimiter ‘|‘ null ‘‘ escape ‘OFF‘)
encoding ‘UTF8‘;

#6.customer
drop external table if exists ext_customer;
create external table ext_customer(
c_custkey bigint,
c_name char(25),
c_address char(40),
c_nationkey integer,
c_phone char(15),
c_acctbal decimal,
c_mktsegment char(10),
c_comment varchar(117),
c_extra char(1)
)location(‘gpfdist://10.110.17.104:8081/customer.tbl‘)
format ‘text‘ (delimiter ‘|‘ null ‘‘ escape ‘OFF‘)
encoding ‘UTF8‘;

--7.orders
drop external  table if exists ext_orders;
create external  table ext_orders(
o_orderkey bigint,
o_custkey bigint,
o_orderstatus char(1),
o_totalprice decimal,
o_orderdate date,
o_orderpriority char(15),
o_clerk char(15),
o_shippriority integer,
o_comment varchar(117),
o_extra char(1)
)location(‘gpfdist://10.110.17.104:8081/orders.tbl‘)
format ‘text‘ (delimiter ‘|‘ null ‘‘ escape ‘OFF‘)
encoding ‘UTF8‘;

--8.lineitem
drop external  table if exists ext_lineitem;
create external  table ext_lineitem(
l_orderkey bigint,
l_partkey bigint,
l_suppkey bigint,
l_linenumber integer,
l_quantity decimal,
l_extendedprice decimal,
l_discount decimal,
l_tax decimal,
l_returnflag char(1),
l_linestatus char(1),
l_shipdate date,
l_commitdate date,
l_receiptdate date,
l_shipinstruct char(25),
l_shipmode char(10),
l_comment varchar(117),
l_extra char(1)
)location(‘gpfdist://10.110.17.104:8081/lineitem.tbl‘)
format ‘text‘ (delimiter ‘|‘ null ‘‘ escape ‘OFF‘)
encoding ‘UTF8‘;

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handling errors:

drop external table if exists ext_region1;
create external  table ext_region1(
r_regionkey integer,
r_name char(25),
r_comment varchar(152),
r_extra char(1)
)location(‘gpfdist://10.110.17.104:8081/region.tbl‘)
format ‘text‘ (delimiter ‘|‘ null ‘‘ escape ‘OFF‘)
encoding ‘UTF8‘
log errors into errortable segment reject limit 10 rows;

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测试是否可以正常读取数据：

select * from ext_region limit 10;
select * from ext_nation limit 10;
select * from ext_part limit 10;
select * from ext_supplier limit 10;
select * from ext_partsupp limit 10;
select * from ext_customer limit 10;
select * from ext_orders limit 10;
select * from ext_lineitem limit 10;

4. 加载数据

insert into region select * from ext_region;
insert into nation select * from ext_nation;
insert into part select * from ext_part;
insert into supplier select * from ext_supplier;
insert into partsupp select * from ext_partsupp;
insert into customer select * from ext_customer;
insert into orders select * from ext_orders;
insert into lineitem select * from ext_lineitem;

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测试是否可以正常读取数据：
select from region limit 10;
select from nation limit 10;
select from part limit 10;
select from supplier limit 10;
select from partsupp limit 10;
select from customer limit 10;
select from orders limit 10;
select from lineitem limit 10;

七.使用copy加载数据

1. 指定的目录master节点必须可以访问到

copy region from ‘/tmp/data/region.tbl‘
with delimiter ‘|‘;
--log errors into errtable segment reject limit 10 rows;

八.hawq load工具程序加载数据

1. 在gpfdist节点上修改 /home/gpadmin/.bash_profile

在文件末尾增加如下内容： source /usr/local/hawq/greenplum_path.sh

2.sudo yum install -y libevent libyaml apr

3. 创建表格

create table audit(cmd varchar(10), t timestamp);

4. 启动gpfdist文件服务器

gpfdist -p 8081 -d /tmp/data -l ~/log &

5.新增配置文件load.yaml，内容如下：

---
VERSION: 1.0.0.1
DATABASE: tpc_h
USER: gpadmin
HOST: master1
PORT: 5432
GPLOAD:
   INPUT:
    - SOURCE:
         LOCAL_HOSTNAME:
           - worker1
         PORT: 8081
         FILE: 
           - region.tbl
    - COLUMNS:
           - r_regionkey: integer
           - r_name: text
           - r_comment: text
           - r_extra: text
    - FORMAT: text
    - DELIMITER: ‘|‘
    - ERROR_LIMIT: 25
    - ERROR_TABLE: public.errortable
   OUTPUT:
    - TABLE: public.region
    - MODE: INSERT
   SQL:
    - BEFORE: "INSERT INTO audit VALUES(‘start‘, current_timestamp)"
    - AFTER: "INSERT INTO audit VALUES(‘end‘, current_timestamp)"

4. 执行hawq load命令

hawq load -f load.yaml

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九. PXF插件加载HDFS数据

1.创建外部表

drop external table if exists pxf_hdfs_textsimple;
create external table pxf_hdfs_textsimple(location text, month text, num_orders int, total_sales float8)
            location (‘pxf://mycluster/hawq_fs/pxf_data/pxf_hdfs_simple.txt?profile=hdfstextsimple‘)
          format ‘text‘ (delimiter=e‘,‘);

//namenode单点时：master1.bigdata是指namenode节点，端口是pxf的端口地址

create external table pxf_hdfs_textsimple(location text, month text, num_orders int, total_sales float8)
            location (‘pxf://master1.bigdata:51200/hawq_fs/pxf_data/pxf_hdfs_simple.txt?profile=hdfstextsimple‘)
          format ‘text‘ (delimiter=e‘,‘);

自定义空值：

drop external table if exists h.pxf_inventory;
create external table h.pxf_inventory
(
    inv_date_sk               integer,
    inv_item_sk               integer,
    inv_warehouse_sk          integer,
    inv_quantity_on_hand      integer,
    inv_null                  varchar(10)
)location (‘pxf://master1.bigdata:51200/tpcdsdata/30T/inventory/data-m-*?profile=hdfstextsimple‘)
format ‘TEXT‘ (DELIMITER ‘|‘ NULL ‘‘);

2. 创建pxf_hdfs_simple.txt文件，内容：

echo ‘Prague,Jan,101,4875.33
Rome,Mar,87,1557.39
Bangalore,May,317,8936.99
Beijing,Jul,411,11600.67‘ > /tmp/pxf_hdfs_simple.txt

3.文件上传至hdfs

hdfs dfs -put /tmp/pxf_hdfs_simple.txt  /hawq_fs/pxf_data/

hdfs dfs -cat /hawq_fs/pxf_data/pxf_hdfs_simple.txt

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select * from pxf_hdfs_textsimple;

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十. PXF插件加载HIVE数据

1.创建hawq数据表

drop table if exists salesinfo;
create table salesinfo(location text, month text, num_orders int, total_sales float8)
with(appendonly=true,orientation=parquet,compresstype=snappy)
distributed randomly;

1. hive中创建表sales_info

/usr/hdp/current/hive-client/bin
./hive

drop table if exists sales_info;
create table sales_info (location string, month string,
        number_of_orders int, total_sales double)
        row format delimited fields terminated by ‘,‘
        stored as textfile;

Prague,Jan,101,4875.33
Rome,Mar,87,1557.39
Bangalore,May,317,8936.99
Beijing,Jul,411,11600.67
San Francisco,Sept,156,6846.34
Paris,Nov,159,7134.56
San Francisco,Jan,113,5397.89
Prague,Dec,333,9894.77
Bangalore,Jul,271,8320.55
Beijing,Dec,100,4248.41

2. load 数据到hive数据表中

load data local inpath ‘/tmp/pxf_hive_datafile.txt‘
        into table sales_info;

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方法一：创建外部表

psql

1.创建外部表方式

drop table if exists salesinfo_hiveprofile;
create external table salesinfo_hiveprofile(location text, month text, num_orders int, total_sales float8)
            location (‘pxf://mycluster/default.sales_info?profile=hive‘)
          format ‘custom‘ (formatter=‘pxfwritable_import‘);

2. 导入数据

insert into salesinfo select * from salesinfo_hiveprofile;

方法二：读取hive Hcatalog 元数据服务

这种方式需要修改pxf-profiles.xml中关于Hive的内容，增加outputformat对象

HiveText：
<outputformat>org.apache.hawq.pxf.service.io.Text</outputformat>
HiveORC：
<outputformat>org.apache.hawq.pxf.service.io.GPDBWritable</outputformat>
HiveRC：
<outputformat>org.apache.hawq.pxf.service.io.Text</outputformat>
Hive
<outputformat>org.apache.hawq.pxf.service.io.GPDBWritable</outputformat>

格式：```
SELECT * FROM hcatalog.hive-db-name.hive-table-name;

　如：
 ```SELECT * FROM hcatalog.default.sales_info;

导入数据：

insert into salesinfo SELECT * FROM hcatalog.default.sales_info;

十一. PXF插件加载HBASE数据
--方式1，直接引用列族和Qualifier

创建外部表
drop EXTERNAL table if exists hbase_sales;
create external table hbase_sales(
recordkey bytea,
"cf1:saleid" varchar,
"cf8:comments" varchar)
location (‘pxf://mycluster/sales?profile=hbase‘)
format ‘custom‘(formatter=‘pxfwritable_import‘)
encoding ‘utf8‘;
使用HBase Shell创建HBase数据表，并写入数据
cd /usr/hdp/current/hbase-client/bin
./hbase shell
创建表格
create ‘sales‘, {NAME=>‘cf1‘,VERSION=>2},{NAME=>‘cf8‘,VERSION=>2}
#create ‘pxf_hbase_region‘, {NAME=>‘cf1‘,VERSION=>2}

写入数据
put ‘sales‘,‘rk001‘,‘cf1:saleid‘, ‘s001‘
put ‘sales‘,‘rk001‘,‘cf8:comments‘, ‘comments1‘

select * from hbase_sales;

--方式2，在HBase中创建pxflookup表
create ‘pxflookup‘, {NAME=>‘mapping‘,VERSION=>2}

put ‘pxflookup‘, ‘sales‘, ‘mapping:id‘, ‘cf1:saleid‘
put ‘pxflookup‘, ‘sales‘, ‘mapping:cmts‘, ‘cf8:comments‘

drop EXTERNAL table if exists pxf_hbase_sales ;
CREATE EXTERNAL TABLE pxf_hbase_sales (
recordkey bytea,
id varchar,
cmts varchar
)location (‘pxf://mycluster/sales?profile=hbase‘)
format ‘custom‘(formatter=‘pxfwritable_import‘)
encoding ‘utf8‘;

select * from pxf_hbase_sales;

十二. PXF访问Jdbc（mysql)

grant all privileges on . to "pxf"@"%" identified by ‘test‘;
mysql> use test;
mysql> create table myclass(
id int(4) not null primary key,
name varchar(20) not null,
gender int(4) not null default ‘0‘,
degree double(16,2));

insert into myclass values(1,"tom",1,90);
insert into myclass values(2,‘john‘,0,94);
insert into myclass values(3,‘simon‘,1,79);

/etc/pxf/conf/pxf-public.classpath添加
/usr/lib/pxf/mysql-connector-java-*.jar

gpadmin=#
drop external table if exists jdbc_myclass;
CREATE EXTERNAL TABLE jdbc_myclass(id integer,
name text,
gender integer,
degree float8)
LOCATION (‘pxf://localhost:51200/test.myclass‘
‘?PROFILE=JDBC‘
‘&JDBC_DRIVER=com.mysql.jdbc.Driver‘
‘&DB_URL=jdbc:mysql://10.110.22.191:3306/test&USER=pxf&PASS=test‘
)
FORMAT ‘CUSTOM‘ (Formatter=‘pxfwritable_import‘);

select * from jdbc_myclass;

slaes_info：
create table sales_info (location varchar(200), month varchar(10),
number_of_orders int, total_sales double);

insert into sales_info values("Prague","Jan",101,4875.33),
("Rome","Mar",87,1557.39),
("Bangalore","May",317,8936.99),
("Beijing","Jul",411,11600.67),
("San Francisco","Sept",156,6846.34),
("Paris","Nov",159,7134.56),
("San Francisco","Jan",113,5397.89),
("Prague","Dec",333,9894.77),
("Bangalore","Jul",271,8320.55),
("Beijing","Dec",100,4248.41);

psql：
drop external table if exists jdbc_sales_info ;
CREATE EXTERNAL TABLE jdbc_sales_info (location varchar(200), month varchar(10),
number_of_orders integer, total_sales float8)
LOCATION (‘pxf://localhost:51200/test.sales_info‘
‘?PROFILE=JDBC‘
‘&JDBC_DRIVER=com.mysql.jdbc.Driver‘
‘&DB_URL=jdbc:mysql://10.110.22.191:3306/test&USER=pxf&PASS=test‘
)
FORMAT ‘CUSTOM‘ (Formatter=‘pxfwritable_import‘);

CREATE EXTERNAL TABLE sales(id integer,
cdate date,
amt float8,
grade text)
LOCATION (‘pxf://localhost:51200/sales‘
‘?PROFILE=JDBC‘
‘&JDBC_DRIVER=com.mysql.jdbc.Driver‘
‘&DB_URL=jdbc:mysql://192.168.200.6:3306/demodb&USER=root&PASS=root‘
‘&PARTITION_BY=cdate:date&RANGE=2008-01-01:2010-01-01&INTERVAL=1:year‘
)
FORMAT ‘CUSTOM‘ (Formatter=‘pxfwritable_import‘);

十三. gpfdist卸载数据

方法一： gpfdist 定义基于文件的可写外部表

定义可写外部表
create writable external table unload_region
(like region)
location (‘gpfdist://10.110.17.104:8081/exp_region.tbl‘)
format ‘text‘ (delimiter ‘,‘);

--只可写，不可读

导入数据
insert into unload_region select * from region;
查看导出的数据文件exp_region.tbl
cat exp_region.tbl

方法二使用copy卸载数据
copy region
to ‘/home/gpadmin/region.out‘;

copy (select * from region where r_regionkey=1) 
to ‘/home/gpadmin/region.out‘;

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十三. PXF插件写数据到HDFS

1.创建可写外部表

create writable external table pxf_hdfs_writabletbl_1(location text, month text, num_orders int, total_sales float8)
            location (‘pxf://mycluster/hawq_fs/pxf_data/pxfwritable_hdfs_textsimple1?profile=hdfstextsimple‘)
          format ‘text‘ (delimiter=e‘,‘);

2.写入数据

insert into pxf_hdfs_writabletbl_1 values ( ‘frankfurt‘, ‘mar‘, 777, 3956.98 );
insert into pxf_hdfs_writabletbl_1 values ( ‘cleveland‘, ‘oct‘, 3812, 96645.37 );

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3.只可写不可读

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Yarn模式下Apache HAWQ的运行

Apache Hawq功能测试脚本

一. TPC-H编译

1.下载工具TPC-H

2. 拷贝生成makefile，并修改makefile

3.编译

4.生成数据

5.创建数据库以及相关表格语句

6.查询语句在queries目录下 22个

二、创建表空间

1. 创建文件空间配置文件，在master节点上执行

2. 创建HDFS目录

3.创建文件空间

4.创建表空间，psql

5.删除文件空间和表空间

6. 查看当前所有表空间

三、创建数据库和Schema

1. 创建数据库

2.创建schema

3. 查看当前schema，函数current_schema()

4. 查看当前Schema的搜索路径

5. 指定schema创建数据表

6. 修改SCHEMA的搜索路径

四、创建数据表

五、创建视图

六、 使用gpfdist加载数据

1. 安装需要的rpm包

2.启动gpfdist文件服务器

3.创建外部表格

4. 加载数据

七.使用copy加载数据

1. 指定的目录master节点必须可以访问到

八.hawq load工具程序加载数据

1. 在gpfdist节点上修改 /home/gpadmin/.bash_profile

2.sudo yum install -y libevent libyaml apr

3. 创建表格

4. 启动gpfdist文件服务器

5.新增配置文件load.yaml，内容如下：

4. 执行hawq load命令

九. PXF插件加载HDFS数据

1.创建外部表

2. 创建pxf_hdfs_simple.txt文件，内容：

3.文件上传至hdfs

十. PXF插件加载HIVE数据

1.创建hawq数据表

1. hive中创建表sales_info

2. load 数据到hive数据表中

方法一：创建外部表

1.创建外部表方式

2. 导入数据

方法二：读取hive Hcatalog 元数据服务

十三. PXF插件写数据到HDFS

1.创建可写外部表

2.写入数据

六、使用gpfdist加载数据