Exporting of ORC file to RDBMS using SQOOP

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I have a file in HDFS with ORC file type. I want to load that ORC file data to RDBMS using SQOOP. Can you provide me commands for exporting Command for ORC file which has HIVE metastore?
Jul 9, 2019 in Big Data Hadoop by Aisha
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1 answer to this question.

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We have to use Sqoop-HCatalog Integration here. Just type “sqoop export help” in Bash and see what are all the sqoop parameter commands there for the Sqoop Export related to HCatalog. I got the details as below.

HCatalog arguments:

–hcatalog-database <arg> HCatalog database name

–hcatalog-home <hdir> Override $HCAT_HOME

–hcatalog-table <arg> HCatalog table name

–hive-home <dir> Override $HIVE_HOME

–hive-partition-key <partition-key> Sets the partition key to

use when importing to hive

–hive-partition-value <partition-value> Sets the partition value to

use when importing to hive

–map-column-hive <arg> Override mapping for

specific column to hive types.

Now see the sample code snippets below for a very simple Sqoop Export Process.

Step1:

Create a Hive Table in TXT format. You can create this in any format like Avro, RCfile, etc

create table customers_txt (customer_id string, customer_name string, city string) row format delimited fields terminated by ‘,’ stored as textfile;

OK

Time taken: 0.611 seconds

Step 2:

Create a Hive table in ORC format

create table customers(customer_id string, customer_name string, city string) row format delimited fields terminated by ‘,’ stored as orc;

OK

Time taken: 0.594 seconds

Step 3:

Create some test data here

bash-4.1$vi customer.txt

1 giri nellai

2 giri town

3 giri pheonix

4 parthi glendale

5 ram glendale

6 goutam campbell

:wq!

Step 4:

Load test data to a Txt formatted table

hive> load data local inpath ‘/tmp/customer.txt’ into table customers_txt;

Copying data from file:/tmp/customer.txt

Copying file: file:/tmp/customer.txt

Loading data to table default.customers_txt

Table default.customers_txt stats: [numFiles=1, numRows=0, totalSize=92, rawDataSize=0]

OK

Time taken: 1.301 seconds

Verify the data

hive> select * from customers_txt;

OK

1 giri nellai

2 giri town

3 giri pheonix

4 parthi glendale

5 ram glendale

6 goutam campbell

Time taken: 0.456 seconds, Fetched: 6 row(s)

Step 5: Insert the data into ORC table:

insert overwrite table customers select * from customers_txt;

Step 6:

Execute the below Sqoop Export Command

sqoop export –connect jdbc:oracle:thin:@Servername:1521/dbName –username *********** –password ********* –table dbName.CUSTOMERS–hcatalog-table customers

Verify the Sqoop Job Output:

15/09/08 17:02:26 INFO mapreduce.JobSubmitter: Submitting tokens for job: job_1438142065989_98389

15/09/08 17:02:27 INFO impl.YarnClientImpl: Submitted application application_1438142065989_98389

15/09/08 17:02:27 INFO mapreduce.Job: The url to track the job: http://n01bdl303.aap.csaa.pri:8088/proxy/application_1438142065989_98389/

15/09/08 17:02:27 INFO mapreduce.Job: Running job: job_1438142065989_98389

15/09/08 17:02:38 INFO mapreduce.Job: Job job_1438142065989_98389 running in uber mode : false

15/09/08 17:02:38 INFO mapreduce.Job: map 0% reduce 0%

15/09/08 17:02:46 INFO mapreduce.Job: map 100% reduce 0%

15/09/08 17:02:46 INFO mapreduce.Job: Job job_1438142065989_98389 completed successfully

15/09/08 17:02:46 INFO mapreduce.Job: Counters: 30

File System Counters

FILE: Number of bytes read=0

FILE: Number of bytes written=269257

FILE: Number of read operations=0

FILE: Number of large read operations=0

FILE: Number of write operations=0

HDFS: Number of bytes read=10756

HDFS: Number of bytes written=0

HDFS: Number of read operations=4

HDFS: Number of large read operations=0

HDFS: Number of write operations=0

Job Counters

Launched map tasks=1

Data-local map tasks=1

Total time spent by all maps in occupied slots (ms)=5338

Total time spent by all reduces in occupied slots (ms)=0

Total time spent by all map tasks (ms)=5338

Total vcore-seconds taken by all map tasks=5338

Total megabyte-seconds taken by all map tasks=24298576

Map-Reduce Framework

Map input records=6

Map output records=6

Input split bytes=10112

Spilled Records=0

Failed Shuffles=0

Merged Map outputs=0

GC time elapsed (ms)=41

CPU time spent (ms)=1740

Physical memory (bytes) snapshot=337338368

Virtual memory (bytes) snapshot=8627503104

Total committed heap usage (bytes)=2070413312

File Input Format Counters

Bytes Read=0

File Output Format Counters

Bytes Written=0

15/09/08 17:02:46 INFO mapreduce.ExportJobBase: Transferred 10.5039 KB in 30.9629 seconds (347.3836 bytes/sec)

15/09/08 17:02:46 INFO mapreduce.ExportJobBase: Exported 6 records.
answered Jul 9, 2019 by Rishi

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