I have large numbers of files within s3 bucket and usually import it to Redshift. Since number of files is large I need a column in Redshift table which should contain source file name from s3 location.
Is there any means to carried out problem ?
Agree with Ketan that this is currently not possible in Redshift. If this is what you would want to achieve, it is possible through either
Reading the S3 files programmatically and write a new S3 files with file name as the column and load the new file
Alternatively, use Hive. Create external table on S3 file bucket location and use INPUT__FILE__NAME to get the file names, create a new table and then write back to S3. You can also do some pre-processing in Hive.
https://cwiki.apache.org/confluence/display/Hive/LanguageManual+VirtualColumns
Hope this helps.
That isn't possible. During a Copy operation, Redshift only loads file contents into a table; it doesn't provide access to S3 file names.
To achieve what you want, you need to preprocess the data to add additional information inside the files.
Related
Below is given the s3 path where I have stored the files obtained at the end of a process. The below-provided path is dynamic, that is, the value of the following fields will vary - partner_name, customer_name, product_name.
s3://bucket/{val1}/data/{val2}/output/intermediate_results
I am trying to create Athena tables for each output file present under output/ as well as under intermediate_results/ directories, for each val1-val2.
Each file is a CSV.
But I am not much familiar with AWS Athena so I'm unable to figure out the way to implement this. I would really appreciate any kind of help. Thanks!
Use CREATE TABLE - Amazon Athena. You will need to specify the LOCATION of the data in Amazon S3 by providing a path.
Amazon Athena will automatically use all files in that path, including subdirectories. This means that a table created with a Location of output/ will include all subdirectories, including intermediate_results. Therefore, your data storage format is not compatible with your desired use for Amazon Athena. You would need to put the data into separate paths for each table.
I have tried this not achieving required results-
I have multiple CSV files in a folder of s3 bucket but when it creates multiple table for it then Athena returns zero results so I made a different folder for each file then it works fine.
problem-
but if in future more folders will be added then I have to go to crawler and have to add a new location path for each newly added folder so is there any way to do it automatically or some other way to do it. I am using glue crawler and s3 bucket athena for query run on multiple CSV files.
In general a table needs all of its files to be in a directory, and no other files to be in that directory.
There is however, a mechanism that makes it possible to create tables that include just specific files. You can read more about that in the the second part of this answer: Partition Athena query by S3 created date (scroll down a bit after the horizontal rule). You can also find an example in the S3 Inventory documentation: https://docs.aws.amazon.com/AmazonS3/latest/dev/storage-inventory.html
While creating a table in Athena, I am not able to create tables using specific files. Is there any way to select all the files starting with "year_2019" from a given bucket? For e.g.
s3://bucketname/prefix/year_2019*.csv
The documentation is very clear about it and it is not allowed.
From:
https://docs.aws.amazon.com/athena/latest/ug/tables-location-format.html
Athena reads all files in an Amazon S3 location you specify in the
CREATE TABLE statement, and cannot ignore any files included in the
prefix. When you create tables, include in the Amazon S3 path only the
files you want Athena to read. Use AWS Lambda functions to scan files
in the source location, remove any empty files, and move unneeded
files to another location.
I will like to know if the community has found some work-around :)
Unfortunately the filesystem abstraction that Athena uses for S3 doesn't support this. It requires table locations to look like directories, and Athena will add a slash to the end of the location when listing files.
There is a way to create tables that contain only a selection of files, but as far as I know it does not support wildcards, only explicit lists of files.
What you do is you create a table with
STORED AS INPUTFORMAT 'org.apache.hadoop.hive.ql.io.SymlinkTextInputFormat'
and then instead of pointing the LOCATION of the table to the actual files, you point it to a prefix with a single symlink.txt file (or point each partition to a prefix with a single symlink.txt). In the symlink.txt file you add the S3 URIs of the files to include in the table, one per line.
The only documentation that I know of for this feature is the S3 Inventory documentation for integrating with Athena.
You can also find a full example in this Stackoverflow response: https://stackoverflow.com/a/55069330/1109
Part One :
I tried glue crawler to run on dummy csv loaded in s3 it created a table but when I try view table in athena and query it it shows Zero Records returned.
But the demo data of ELB in Athena works fine.
Part Two (Scenario:)
Suppose I Have a excel file and data dictionary of how and what format data is stored in that file , I want that data to be dumped in AWS Redshift What would be best way to achieve this ?
I experienced the same issue. You need to give the folder path instead of the real file name to the crawler and run it. I tried with feeding folder name to the crawler and it worked. Hope this helps. Let me know. Thanks,
I experienced the same issue. try creating separate folder for single table in s3 buckets than rerun the glue crawler.you will get a new table in glue data catalog which has the same name as s3 bucket folder name .
Delete Crawler ones again create Crawler(only one csv file should be not more available in s3 and run the crawler)
important note
one CSV file run it we can view the records in Athena.
I was indeed providing the S3 folder path instead of the filename and still couldn't get Athena to return any records ("Zero records returned", "Data scanned: 0KB").
Turns out the problem was that the input files (my rotated log files automatically uploaded to S3 from Elastic Beanstalk) start with underscore (_), e.g. _var_log_nginx_rotated_access.log1534237261.gz! Apparently that's not allowed.
The structure of the s3 bucket / folder is very important :
s3://<bucketname>/<data-folder>/
/<type-1-[CSVs|Parquets etc]>/<files.[csv or parquet]>
/<type-2-[CSVs|Parquets etc]>/<files.[csv or parquet]>
...
/<type-N-[CSVs|Parquets etc]>/<files.[csv or parquet]>
and specify in the "include path" of the Glue Crawler:
s3://<bucketname e.g my-s3-bucket-ewhbfhvf>/<data-folder e.g data>
Solution: Select path of folder even if within folder you have many files. This will generate one table and data will be displayed.
So in many such cases using EXCLUDE PATTERN in Glue Crawler helps me.
This is sure that instead of directly pointing the crawler to the file, we should point it to the directory and even by doing so when we do not get any records, Exclude Pattern comes to rescue.
You will have to devise some pattern by which only the file which u want gets crawled and rest are excluded. (suggesting to do this instead of creating different directories for each file and most of the times in production bucket, doing such changes is not feasible )
I was having data in S3 bucket ! There were multiple directories and inside each directory there were snappy parquet file and json file. The json file was causing the issue.
So i ran the crawler on the master directory that was containing many directories and in the EXCLUDE PATTERN i gave - * / *.json
And this time, it did no create any table for the json file and i was able to see the records of the table using Athena.
for reference - https://docs.aws.amazon.com/glue/latest/dg/define-crawler.html
Pointing glue crawler to the S3 folder and not the acutal file did the trick.
Here's what worked for me: I needed to move all of my CSVs into their own folders, just pointing Glue Crawler to the parent folder ('csv/' for me) was not enough.
csv/allergies.csv -> fails
csv/allergies/allergies.csv -> succeeds
Then, I just pointed AWS Glue Crawler to csv/ and everything was parsed out well.
According to the docs, when you create a table in Athena, you need to specify the location of the input data file in the s3 bucket. You can only specify the s3 location containing that file, but not the file to be used. For example I have many files like type1.log.gz, type2.log.gz, type3.log.gz of different format at a location my-bucket/logs/.
Currently the location given is 's3://my-bucket/logs/'
So is it possible to specify which file(say type2.log.gz) to be used.
Or do I have to copy the file(type2.log.gz) to another location having no other files and specify its path?
Athena expects all of the data within an S3 location to have the same schema. This is a big help when you have a very large table, as it can be broken into many files that Athena can read in parallel, or when you want to add data to an existing table. However, that does mean that you simply can't use Athena in a situation where one S3 location has files with different schemas.
In your case, you would need to move the file you want to query to a different location, and then create a table pointing to its location--e.g. if you copy to s3://my-bucket/logs/type2/type2.log.gz, the table should point to s3://my-bucket/logs/type2.
No it is not possible. You are obliged to copy the file in an external bucket
Ref : Confirmed by AWS