Oracle_To_Redshift_Data_Loader

Oracle-to-Redshift-Data-Loader

Let's you stream your Oracle table/query data to Amazon-Redshift from Windows CLI (command line).

Features:
- Streams Oracle table data to Amazon-Redshift.
- No need to create CSV extracts before load to Redshift.
- Data stream is compressed while load to Redshift.
- No need for Amazon AWS CLI.
- Works from your OS Windows desktop (command line).
- It's executable (Oracle_To_Redshift_Loader.exe) - no need for Python install.
- It's 64 bit - it will work on any vanilla DOS for 64-bit Windows.
- AWS Access Keys are not passed as arguments.
- Written using Python/boto/psycopg2/PyInstaller.

Version

OS	Platform	Version
Windows	64bit	[1.2 beta]

Purpose

• Stream/pipe/load Oracle table data to Amazon-Redshift.

How it works

• Tool connects to source Oracle DB and opens data pipe for reading.
• Data is pumped to S3 using multipart upload.
• Optional upload to Reduced Redundancy storage (not RR by default).
• Optional "make it public" after upload (private by default)
• If doesn't, bucket is created
• You can control the region where new bucket is created
• Streamed data can be tee'd (dumped on disk) during load.
• If not set, S3 Key defaulted to query file name.
• Data is loaded to Redshift using COPY command
• It's a Python/boto script
  • Boto S3 docs: http://boto.cloudhackers.com/en/latest/ref/s3.html
  • psycopg2 docs: http://initd.org/psycopg/docs/
• Executable is created using [pyInstaller] (http://www.pyinstaller.org/)

Audience

Database/ETL developers, Data Integrators, Data Engineers, Business Analysts, AWS Developers, DevOps,

Designated Environment

Pre-Prod (UAT/QA/DEV)

Usage

c:\Python35-32\PROJECTS\Ora2S3>dist\oracle_to_Redshift_loader.exe
#############################################################################
#Oracle to Redshift Data Loader (v1.2, beta, 04/05/2016 15:11:53) [64bit]
#Copyright (c): 2016 Alex Buzunov, All rights reserved.
#Agreement: Use this tool at your own risk. Author is not liable for any damages
#           or losses related to the use of this software.
################################################################################
Usage:
  set AWS_ACCESS_KEY_ID=<you access key>
  set AWS_SECRET_ACCESS_KEY=<you secret key>
  set ORACLE_LOGIN=tiger/scott@orcl
  set ORACLE_CLIENT_HOME=C:\app\oracle12\product\12.1.0\dbhome_1

  oracle_to_s3_loader.exe [<ora_query_file>] [<ora_col_delim>] [<ora_add_header>]
                            [<s3_bucket_name>] [<s3_key_name>] [<s3_use_rr>] [<s3_public>]

        --ora_query_file -- SQL query to execure in source Oracle db.
        --ora_col_delim  -- CSV column delimiter (|).
        --ora_add_header -- Add header line to CSV file (False).
        --ora_lame_duck  -- Limit rows for trial load (1000).
        --create_data_dump -- Use it if you want to persist streamed data on your filesystem.

        --s3_bucket_name -- S3 bucket name (always set it).
        --s3_location    -- New bucket location name (us-west-2)
                                Set it if you are creating new bucket
        --s3_key_name    -- CSV file name (to store query results on S3).
                if <s3_key_name> is not specified, the oracle query filename (ora_query_file) will be used.
        --s3_use_rr -- Use reduced redundancy storage (False).
        --s3_write_chunk_size -- Chunk size for multipart upoad to S3 (10<<21, ~20MB).
        --s3_public -- Make loaded file public (False).
        --redshift_table -- Target Redshift table.

        Oracle data uploaded to S3 is always compressed (gzip).

Example

Environment variables

• Set the following environment variables (for all tests):
  set_env.bat:

set AWS_ACCESS_KEY_ID=<you access key>
set AWS_SECRET_ACCESS_KEY=<you secret key>

set ORACLE_LOGIN=tiger/scott@orcl
set ORACLE_CLIENT_HOME=C:\\app\\oracle12\\product\\12.1.0\\dbhome_1

Test load with data dump.

In this example complete table test2 get's uploaded to Aamzon-S3 as compressed CSV file.

Contents of the file table_query.sql:

SELECT * FROM test2;

Also temporary dump file is created for analysis (by default there are no files created)
Use -s, --create_data_dump to dump streamed data.

If target bucket does not exists it will be created in user controlled region.
Use argument -t, --s3_location to set target region name

Contents of the file test.bat:

dist\oracle_to_s3_loader.exe ^
    -q table_query.sql ^
    -d "|" ^
    -e ^
    -b test_bucket ^
    -k oracle_table_export ^
    -r ^
    -p ^
    -s
    -t target_table

Executing test.bat:

c:\Python35-32\PROJECTS\Ora2Redshift>dist\oracle_to_redshift_loader.exe   -q table_query.sql      -d "|"  -e      -b test_bucket       -k oracle_table_export  -r      -p      -s
Uploading results of "table_query.sql" to existing bucket "test_bucket"
Dumping data to: c:\Python35-32\PROJECTS\Ora2S3\data_dump\table_query\test_bucket\oracle_table_export.20160405_235310.gz
1 chunk 10.0 GB [8.95 sec]
2 chunk 5.94 GB [5.37 sec]
Uncompressed data size: 15.94 GB
Compressed data size: 63.39 MB
Load complete (17.58 sec).

Test query

Download

• git clone https://github.com/alexbuz/Oracle_to_Redshift_Data_Loader
• Master Release -- oracle_to_redshift_loader 1.2

FAQ

Can it load Oracle data to Amazon S3 file?

Yes, it is the main purpose of this tool.

Can developers integrate Oracle_To_S3_Data_Uploader into their ETL pipelines?

Yes. Assuming they are doing it on OS Windows.

How fast is data load using Oracle_To_Redshift_Data_Loader?

As fast as any implementation of multi-part load using Python and boto.

How to inscease load speed?

Input data stream is getting compressed before upload to S3. So not much could be done here.
You may want to run it closer to source or target for better performance.

What are the other ways to move large amounts of data from Oracle to S3?

You can write a sqoop script that can be scheduled as an 'EMR Activity' under Data Pipeline.

Does it create temporary data file to facilitate data load to S3?

No

Can I log transfered data for analysis?

Yes, Use -s, --create_data_dump to dump streamed data.

Explain first step of data transfer?

The query file you provided is used to select data form target Oracle server.
Stream is compressed before load to S3.

Explain second step of data transfer?

Compressed data is getting uploaded to S3 using multipart upload protocol.

Explain third step of data load. How data is loaded to Amazon Redshift?

You Redshift cluster has to be open to the world (accessible via port 5439 from internet).
It uses PostgreSQL COPY command to load file located on S3 into Redshift table.

What technology was used to create this tool

I used SQLPlus, Python, Boto to write it.
Boto is used to upload file to S3.
SQLPlus is used to spool data to compressor pipe.
psycopg2 is used to establish ODBC connection with Redshift clusted and execute COPY command.

Does it delete file from S3 after upload?

No

Does it create target Redshift table?

No

Where are the sources?

Please, contact me for sources.

Can you modify functionality and add features?

Yes, please, ask me for new features.

What other AWS tools you've created?

• [Oracle_To_S3_Data_Uploader] (https://github.com/alexbuz/Oracle_To_S3_Data_Uploader) - Stream Oracle data to Amazon- S3.
• [CSV_Loader_For_Redshift] (https://github.com/alexbuz/CSV_Loader_For_Redshift/blob/master/README.md) - Append CSV data to Amazon-Redshift from Windows.
• [S3_Sanity_Check] (https://github.com/alexbuz/S3_Sanity_Check/blob/master/README.md) - let's you ping Amazon-S3 bucket to see if it's publicly readable.
• EC2_Metrics_Plotter - plots any CloudWatch EC2 instance metric stats.
• S3_File_Uploader - uploads file from Windows to S3.

Do you have any AWS Certifications?

Yes, AWS Certified Developer (Associate)

Can you create similar/custom data tool for our business?

Yes, you can PM me here or email at alex_buz@yahoo.com.
I'll get back to you within hours.

Links

• Employment FAQ