-
Notifications
You must be signed in to change notification settings - Fork 590
/
sqoop_demo.txt
378 lines (329 loc) · 11.6 KB
/
sqoop_demo.txt
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
sqoop list-databases \
--connect "jdbc:mysql://sandbox.hortonworks.com:3306" \
--username retail_dba \
--password hadoop
sqoop list-tables \
--connect "jdbc:mysql://sandbox.hortonworks.com:3306/retail_db" \
--username retail_dba \
--password hadoop
sqoop import \
--connect "jdbc:mysql://hiveserver:3306/retail_db" \
--username=retail_dba \
--password=itversity \
--table departments \
--as-textfile \
--target-dir=/user/root/departments
sqoop eval \
--connect "jdbc:mysql://sandbox.hortonworks.com:3306/retail_db" \
--username retail_dba \
--password hadoop \
--query "select count(1) from order_items"
-- Reference: http://www.hadoop.com/content/hadoop/en/developers/home/developer-admin-resources/get-started-with-hadoop-tutorial/exercise-1.html
sqoop import-all-tables \
--connect "jdbc:mysql://cdh54itversity-mn0.southeastasia.cloudapp.azure.com:3306/retail_db" \
--username retail_dba \
--password itversity \
--warehouse-dir /user/itversity/dgadiraju/import-all-tables \
--driver com.mysql.jdbc.Driver
sqoop import-all-tables \
-m 12 \
--connect "jdbc:mysql://sandbox.hortonworks.com:3306/retail_db" \
--username=retail_dba \
--password=hadoop \
--as-avrodatafile \
--warehouse-dir=/apps/hive/warehouse/retail_stage.db
--Default
sqoop import \
--connect "jdbc:mysql://sandbox.hortonworks.com:3306/retail_db" \
--username=retail_dba \
--password=hadoop \
--table departments \
--as-textfile \
--target-dir=/user/root/departments
sqoop import \
--connect "jdbc:mysql://sandbox.hortonworks.com:3306/retail_db" \
--username=retail_dba \
--password=hadoop \
--table departments \
--as-sequencefile \
--target-dir=/user/root/departments
sqoop import \
--connect "jdbc:mysql://sandbox.hortonworks.com:3306/retail_db" \
--username=retail_dba \
--password=hadoop \
--table departments \
--as-avrodatafile \
--target-dir=/user/root/departments
-- A file with extension avsc will be created under the directory from which sqoop import is executed
-- Copy avsc file to HDFS location
-- Create hive table with LOCATION to /user/root/departments and TBLPROPERTIES pointing to avsc file
hadoop fs -put sqoop_import_departments.avsc /user/root
CREATE EXTERNAL TABLE departments
ROW FORMAT SERDE 'org.apache.hadoop.hive.serde2.avro.AvroSerDe'
STORED AS INPUTFORMAT 'org.apache.hadoop.hive.ql.io.avro.AvroContainerInputFormat'
OUTPUTFORMAT 'org.apache.hadoop.hive.ql.io.avro.AvroContainerOutputFormat'
LOCATION 'hdfs:///user/root/departments'
TBLPROPERTIES ('avro.schema.url'='hdfs://sandbox.hortonworks.com/user/root/sqoop_import_departments.avsc');
-- It will create tables in default database in hive
-- Using snappy compression
-- As we have imported all tables before make sure you drop the directories
-- Launch hive drop all tables
drop table departments;
drop table categories;
drop table products;
drop table orders;
drop table order_items;
drop table customers;
-- Dropping directories, in case your hive database/tables in consistent state
hadoop fs -rm -R /apps/hive/warehouse/departments
hadoop fs -rm -R /apps/hive/warehouse/categories
hadoop fs -rm -R /apps/hive/warehouse/products
hadoop fs -rm -R /apps/hive/warehouse/orders
hadoop fs -rm -R /apps/hive/warehouse/order_itmes
hadoop fs -rm -R /apps/hive/warehouse/customers
sqoop import-all-tables \
--num-mappers 1 \
--connect "jdbc:mysql://sandbox.hortonworks.com:3306/retail_db" \
--username=retail_dba \
--password=hadoop \
--hive-import \
--hive-overwrite \
--create-hive-table \
--compress \
--compression-codec org.apache.hadoop.io.compress.SnappyCodec \
--outdir java_files
sudo -u hdfs hadoop fs -mkdir /user/root/retail_stage
sudo -u hdfs hadoop fs -chmod +rw /user/root/retail_stage
hadoop fs -copyFromLocal ~/*.avsc /user/root/retail_stage
-- Basic import
sqoop import \
--connect "jdbc:mysql://sandbox.hortonworks.com:3306/retail_db" \
--username=retail_dba \
--password=hadoop \
--table departments \
--target-dir /user/root/departments
-- Boundary Query and columns
sqoop import \
--connect "jdbc:mysql://sandbox.hortonworks.com:3306/retail_db" \
--username=retail_dba \
--password=hadoop \
--table departments \
--target-dir /user/root/departments \
-m 2 \
--boundary-query "select 2, 8 from departments limit 1" \
--columns department_id,department_name
-- query and split-by
sqoop import \
--connect "jdbc:mysql://sandbox.hortonworks.com:3306/retail_db" \
--username=retail_dba \
--password=hadoop \
--query="select * from orders join order_items on orders.order_id = order_items.order_item_order_id where \$CONDITIONS" \
--target-dir /user/root/order_join \
--split-by order_id \
--num-mappers 4
-- Copying into existing table or directory (append)
-- Customizing number of threads (num-mappers)
-- Changing delimiter
sqoop import \
--connect "jdbc:mysql://sandbox.hortonworks.com:3306/retail_db" \
--username=retail_dba \
--password=hadoop \
--table departments \
--target-dir /apps/hive/warehouse/retail_ods.db/departments \
--append \
--fields-terminated-by '|' \
--lines-terminated-by '\n' \
--num-mappers 1 \
--outdir java_files
-- Importing table with out primary key using multiple threads (split-by)
-- When using split-by, using indexed column is highly desired
-- If the column is not indexed then performance will be bad
-- because of full table scan by each of the thread
sqoop import \
--connect "jdbc:mysql://sandbox.hortonworks.com:3306/retail_db" \
--username=retail_dba \
--password=hadoop \
--table departments \
--target-dir /apps/hive/warehouse/retail_ods.db/departments \
--append \
--fields-terminated-by '|' \
--lines-terminated-by '\n' \
--split-by department_id \
--outdir java_files
-- Getting delta (--where)
sqoop import \
--connect "jdbc:mysql://sandbox.hortonworks.com:3306/retail_db" \
--username=retail_dba \
--password=hadoop \
--table departments \
--target-dir /apps/hive/warehouse/retail_ods.db/departments \
--append \
--fields-terminated-by '|' \
--lines-terminated-by '\n' \
--split-by department_id \
--where "department_id > 7" \
--outdir java_files
-- Incremental load
sqoop import \
--connect "jdbc:mysql://sandbox.hortonworks.com:3306/retail_db" \
--username=retail_dba \
--password=hadoop \
--table departments \
--target-dir /apps/hive/warehouse/retail_ods.db/departments \
--append \
--fields-terminated-by '|' \
--lines-terminated-by '\n' \
--check-column "department_id" \
--incremental append \
--last-value 7 \
--outdir java_files
sqoop job --create sqoop_job \
-- import \
--connect "jdbc:mysql://sandbox.hortonworks.com:3306/retail_db" \
--username=retail_dba \
--password=hadoop \
--table departments \
--target-dir /apps/hive/warehouse/retail_ods.db/departments \
--append \
--fields-terminated-by '|' \
--lines-terminated-by '\n' \
--check-column "department_id" \
--incremental append \
--last-value 7 \
--outdir java_files
sqoop job --list
sqoop job --show sqoop_job
sqoop job --exec sqoop_job
-- Hive related
-- Overwrite existing data associated with hive table (hive-overwrite)
sqoop import \
--connect "jdbc:mysql://sandbox.hortonworks.com:3306/retail_db" \
--username=retail_dba \
--password=hadoop \
--table departments \
--fields-terminated-by '|' \
--lines-terminated-by '\n' \
--hive-home /apps/hive/warehouse/retail_ods.db \
--hive-import \
--hive-overwrite \
--hive-table departments \
--outdir java_files
sqoop import \
--connect "jdbc:mysql://<host_name_here>:3306/retail_db" \
--username=retail_dba \
--password=itversity \
--table departments \
--hive-home /user/hive/warehouse \
--hive-import \
--hive-table sqoop_demo.departments_dg \
--create-hive-table
--Create hive table example
sqoop import \
--connect "jdbc:mysql://sandbox.hortonworks.com:3306/retail_db" \
--username=retail_dba \
--password=hadoop \
--table departments \
--fields-terminated-by '|' \
--lines-terminated-by '\n' \
--hive-home /apps/hive/warehouse \
--hive-import \
--hive-table departments_test \
--create-hive-table \
--outdir java_files
--Connect to mysql and create database for reporting database
--user:root, password:hadoop
mysql -u root -p
create database retail_rpt_db;
grant all on retail_rpt_db.* to retail_dba;
flush privileges;
use retail_rpt_db;
create table departments as select * from retail_db.departments where 1=2;
exit;
--For certification change database name retail_rpt_db to retail_db
sqoop export --connect "jdbc:mysql://sandbox.hortonworks.com:3306/retail_rpt_db" \
--username retail_dba \
--password hadoop \
--table departments \
--export-dir /apps/hive/warehouse/retail_ods.db/departments \
--input-fields-terminated-by '|' \
--input-lines-terminated-by '\n' \
--num-mappers 2 \
--batch \
--outdir java_files
sqoop export --connect "jdbc:mysql://sandbox.hortonworks.com:3306/retail_db" \
--username retail_dba \
--password hadoop \
--table departments \
--export-dir /user/root/sqoop_import/departments_export \
--batch \
--outdir java_files \
-m 1 \
--update-key department_id \
--update-mode allowinsert
sqoop export --connect "jdbc:mysql://sandbox.hortonworks.com:3306/retail_db" \
--username retail_dba \
--password hadoop \
--table departments_test \
--export-dir /apps/hive/warehouse/departments_test \
--input-fields-terminated-by '\001' \
--input-lines-terminated-by '\n' \
--num-mappers 2 \
--batch \
--outdir java_files \
--input-null-string nvl \
--input-null-non-string -1
--Merge process begins
hadoop fs -mkdir /user/root/sqoop_merge
--Initial load
sqoop import \
--connect "jdbc:mysql://sandbox.hortonworks.com:3306/retail_db" \
--username=retail_dba \
--password=hadoop \
--table departments \
--as-textfile \
--target-dir=/user/root/sqoop_merge/departments
--Validate
sqoop eval --connect "jdbc:mysql://sandbox.hortonworks.com:3306/retail_db" \
--username retail_dba \
--password hadoop \
--query "select * from departments"
hadoop fs -cat /user/root/sqoop_merge/departments/part*
--update
sqoop eval --connect "jdbc:mysql://sandbox.hortonworks.com:3306/retail_db" \
--username retail_dba \
--password hadoop \
--query "update departments set department_name='Testing Merge' where department_id = 9000"
--Insert
sqoop eval --connect "jdbc:mysql://sandbox.hortonworks.com:3306/retail_db" \
--username retail_dba \
--password hadoop \
--query "insert into departments values (10000, 'Inserting for merge')"
sqoop eval --connect "jdbc:mysql://sandbox.hortonworks.com:3306/retail_db" \
--username retail_dba \
--password hadoop \
--query "select * from departments"
--New load
sqoop import \
--connect "jdbc:mysql://sandbox.hortonworks.com:3306/retail_db" \
--username=retail_dba \
--password=hadoop \
--table departments \
--as-textfile \
--target-dir=/user/root/sqoop_merge/departments_delta \
--where "department_id >= 9000"
hadoop fs -cat /user/root/sqoop_merge/departments_delta/part*
--Merge
sqoop merge --merge-key department_id \
--new-data /user/root/sqoop_merge/departments_delta \
--onto /user/root/sqoop_merge/departments \
--target-dir /user/root/sqoop_merge/departments_stage \
--class-name departments \
--jar-file <get_it_from_last_import>
hadoop fs -cat /user/root/sqoop_merge/departments_stage/part*
--Delete old directory
hadoop fs -rm -R /user/root/sqoop_merge/departments
--Move/rename stage directory to original directory
hadoop fs -mv /user/root/sqoop_merge/departments_stage /user/root/sqoop_merge/departments
--Validate that original directory have merged data
hadoop fs -cat /user/root/sqoop_merge/departments/part*
--Merge process ends