How to save the results of an impala query - amazon-s3

I've loaded a large set of data from S3 into hdfs, and then inserted the data to a table in impala.
I then ran a query against this data, and I'm looking to get these results back into S3.
I'm using Amazon EMR, with impala 1.2.4. If it's not possible to get the results of the query back to S3 directly, are there options to get the data back to hdfs and then some how send it back to S3 from there?
I have messed around with the impala-shell -o filename options, but that appears to only work on the local linux file system.
I thought this would have been a common scenario, but having trouble finding any information about saving the results of a query anywhere.
Any pointers appreciated.

To add to the knowledge above I am including the command that writes the query results to a file with a delimeter as we declared using the option --output_delimeter and also by using the option
--delimeted which actually switches off the default tab delimeter option.
impala-shell -q "query " --delimited --output_delimiter='\001' --print_header -o 'filename'

What I usually do if it's a smallish result set is run the script from the command line then upload to s3 using the AWS command line tool:
impala-shell -e "select ble from bla" -o filename
aws s3 cp filename s3://mybucket/filename
An alternative is use Hive as the last step in your data pipeline after you've run your query in Impala:
1. Impala step:
create table processed_data
as
select blah
--do whatever else you need to do in here
from raw_data1
join raw_data2 on a=b
2. Hive step:
create external table export
like processed_data
location 's3://mybucket/export/';
insert into table export
select * from processed_data;

If you have aws cli installed you can use standard out of Impala shell , impala shell query | aws cli cp - s3folder/outputfilename
You can use unix pipe and stream (-)

Related

Dataprep is leaving Datasets/Tables behind in BigQuery

I am using Google Cloud Dataprep for processing data stored in BigQuery. I am having an issue with dataprep/dataflow creates a new dataset with a name starting with "temp_dataset_beam_job_"
It seems to crate the temporary dataset both for failed and successful dataflow jobs, that dataprep creates. This is an issue as BigQuery becomes messy very quickly with all these flows.
This has not been an issue in the past.
A similar issue has been described in this in this GitHub thread: https://github.com/GoogleCloudPlatform/DataflowJavaSDK/issues/609
Is there any way of not creating temporary datasets, or instead creating them in a Cloud Storage folder?
I wrote a cleanup script that I am running in Cloud Run (see this article) using Cloud Scheduler.
Below is the script:
#!/bin/bash
PROJECT={PROJECT_NAME}
# get list of datasets with temp_dataset_beam
# optional: write list of files to cloud storage
obj="gs://{BUCKET_NAME}/maintenance-report-$(date +%s).txt"
bq ls --max_results=100 | grep "temp_dataset_beam" | gsutil -q cp -J - "${obj}"
datasets=$(bq ls --max_results=100 | grep "temp_dataset_beam")
for dataset in $datasets
do
echo $PROJECT:$dataset
# WARNING: Uncomment the line below to remove datasets
# bq rm --dataset=true --force=true $PROJECT:$dataset
done
I solved this in Dataprep directly by running a SQL script post data publish that will run after each job. You can set this in Dataprep in the output Manual settings.
(SELECT CONCAT("drop table `<project_id>.",table_schema,".", table_name, "`;" ) AS value
FROM <dataset>.INFORMATION_SCHEMA.TABLES -- or region.INFORMATION_SCHEMA.TABLES
WHERE table_name LIKE "Dataprep_%"
ORDER BY table_name DESC)
DO
EXECUTE IMMEDIATE(drop_statement.value);--Here the table is dropped
END FOR;

Moving data from hive views to aws s3

Hi is there any ways we could move data from hive views to S3? For tables I am using distcp but since views doesnt have data residing in HDFS location I wasn't able to do distcp and I don't have access for tables used in creating views. If I do CTAS from view I will not be getting the latest data from view whenever it was refreshed. Is there any other ways apart from creating table from view and doing distcp? Please help thanks in advance.
The best option would be to write a spark program which will load the data from your view/table using hive context and write back to S3 in required format like parquet/orc/csv/json
One of the approach that you can use is to copy Hive standard output Stream Data to S3 using AWS S3 command line interface (CLI).
Here is the sample code.
beeline -u jdbc:hive2://192.168.0.41:10000/test_db -n user1 -p password --outputformat=csv2 -e "select * from t1_view" | aws s3 cp - s3://testbucket/upload/test_view.txt
Note, you have to install AWS S3 CLI to use this method.

How to load data into BigQuery from command line with WRITE_EMPTY flag?

I'm loading CSV data into BigQuery from the command line. I would like to prevent the operation from occurring if the table exists already. I do not want to truncate the table if it exists, and I do not want to append to it.
It seems that there is no command line option for this:
However, I feel like I might be missing something. Is this truly an option that is impossible to use from the command line interface?
A possible workaround for this can be by using bq cp as follow:
Upload your data to a side table, Truncate the data each upload
bq --location=US load --autodetect --source_format=CSV dataset.table ./dataRaw.csv
Copy the data to your target table using bq cp which support an overwrite flag
bq --location=US cp -n dataset.dataRaw dataset.tableNotToOverWrite
If the table exists you get the following error:
Table 'project:dataset.table' already exists, skipping
I think you are right about CLI doesn't support WRITE_EMPTY mode now.
You may file a feature request to get it prioritized.

Google BigQuery: How to use gsutil to either remove or overwrite a table?

I have a program which will download some data from the web and save it as a csv, and then upload that data to a Google Cloud Storage Bucket. Next, that program will use gsutil to create a new Google BigQuery Table by concatenating all the files in the Google Cloud Storage Bucket. To do the concatenating I run this command in command prompt:
bq load --project_id=ib-17 da.hi gs://ib/hi/* da:TIMESTAMP,bol:STRING,bp:FLOAT,bg:FLOAT,bi:FLOAT,lo:FLOAT,en:FLOAT,kh:FLOAT,ow:FLOAT,ls:FLOAT
The issue is that for some reason this command appends to the existing table, so I get a lot of duplicate data. The question is how can I either use gsutil to delete the table first maybe how can I use gsutil to overwrite the table?
If I understood correctly your question, you should delete and recreate the table with:
bq rm -f -t da.hi
bq mk --schema da:TIMESTAMP,bol:STRING,bp:FLOAT,bg:FLOAT,bi:FLOAT,lo:FLOAT,en:FLOAT,kh:FLOAT,ow:FLOAT,ls:FLOAT -t da.hi
Another possibility is to use the --replace flag, such as:
bq load --replace --project_id=ib-17 da.hi gs://ib/hi/*
I think that this flag was once called WRITE_DISPOSITION but looks like the CLI updated the name to --replace.

Save PL/pgSQL output from PostgreSQL to a CSV file

What is the easiest way to save PL/pgSQL output from a PostgreSQL database to a CSV file?
I'm using PostgreSQL 8.4 with pgAdmin III and PSQL plugin where I run queries from.
Do you want the resulting file on the server, or on the client?
Server side
If you want something easy to re-use or automate, you can use Postgresql's built in COPY command. e.g.
Copy (Select * From foo) To '/tmp/test.csv' With CSV DELIMITER ',' HEADER;
This approach runs entirely on the remote server - it can't write to your local PC. It also needs to be run as a Postgres "superuser" (normally called "root") because Postgres can't stop it doing nasty things with that machine's local filesystem.
That doesn't actually mean you have to be connected as a superuser (automating that would be a security risk of a different kind), because you can use the SECURITY DEFINER option to CREATE FUNCTION to make a function which runs as though you were a superuser.
The crucial part is that your function is there to perform additional checks, not just by-pass the security - so you could write a function which exports the exact data you need, or you could write something which can accept various options as long as they meet a strict whitelist. You need to check two things:
Which files should the user be allowed to read/write on disk? This might be a particular directory, for instance, and the filename might have to have a suitable prefix or extension.
Which tables should the user be able to read/write in the database? This would normally be defined by GRANTs in the database, but the function is now running as a superuser, so tables which would normally be "out of bounds" will be fully accessible. You probably don’t want to let someone invoke your function and add rows on the end of your “users” table…
I've written a blog post expanding on this approach, including some examples of functions that export (or import) files and tables meeting strict conditions.
Client side
The other approach is to do the file handling on the client side, i.e. in your application or script. The Postgres server doesn't need to know what file you're copying to, it just spits out the data and the client puts it somewhere.
The underlying syntax for this is the COPY TO STDOUT command, and graphical tools like pgAdmin will wrap it for you in a nice dialog.
The psql command-line client has a special "meta-command" called \copy, which takes all the same options as the "real" COPY, but is run inside the client:
\copy (Select * From foo) To '/tmp/test.csv' With CSV DELIMITER ',' HEADER
Note that there is no terminating ;, because meta-commands are terminated by newline, unlike SQL commands.
From the docs:
Do not confuse COPY with the psql instruction \copy. \copy invokes COPY FROM STDIN or COPY TO STDOUT, and then fetches/stores the data in a file accessible to the psql client. Thus, file accessibility and access rights depend on the client rather than the server when \copy is used.
Your application programming language may also have support for pushing or fetching the data, but you cannot generally use COPY FROM STDIN/TO STDOUT within a standard SQL statement, because there is no way of connecting the input/output stream. PHP's PostgreSQL handler (not PDO) includes very basic pg_copy_from and pg_copy_to functions which copy to/from a PHP array, which may not be efficient for large data sets.
There are several solutions:
1 psql command
psql -d dbname -t -A -F"," -c "select * from users" > output.csv
This has the big advantage that you can using it via SSH, like ssh postgres#host command - enabling you to get
2 postgres copy command
COPY (SELECT * from users) To '/tmp/output.csv' With CSV;
3 psql interactive (or not)
>psql dbname
psql>\f ','
psql>\a
psql>\o '/tmp/output.csv'
psql>SELECT * from users;
psql>\q
All of them can be used in scripts, but I prefer #1.
4 pgadmin but that's not scriptable.
In terminal (while connected to the db) set output to the cvs file
1) Set field seperator to ',':
\f ','
2) Set output format unaligned:
\a
3) Show only tuples:
\t
4) Set output:
\o '/tmp/yourOutputFile.csv'
5) Execute your query:
:select * from YOUR_TABLE
6) Output:
\o
You will then be able to find your csv file in this location:
cd /tmp
Copy it using the scp command or edit using nano:
nano /tmp/yourOutputFile.csv
CSV Export Unification
This information isn't really well represented. As this is the second time I've needed to derive this, I'll put this here to remind myself if nothing else.
Really the best way to do this (get CSV out of postgres) is to use the COPY ... TO STDOUT command. Though you don't want to do it the way shown in the answers here. The correct way to use the command is:
COPY (select id, name from groups) TO STDOUT WITH CSV HEADER
Remember just one command!
It's great for use over ssh:
$ ssh psqlserver.example.com 'psql -d mydb "COPY (select id, name from groups) TO STDOUT WITH CSV HEADER"' > groups.csv
It's great for use inside docker over ssh:
$ ssh pgserver.example.com 'docker exec -tu postgres postgres psql -d mydb -c "COPY groups TO STDOUT WITH CSV HEADER"' > groups.csv
It's even great on the local machine:
$ psql -d mydb -c 'COPY groups TO STDOUT WITH CSV HEADER' > groups.csv
Or inside docker on the local machine?:
docker exec -tu postgres postgres psql -d mydb -c 'COPY groups TO STDOUT WITH CSV HEADER' > groups.csv
Or on a kubernetes cluster, in docker, over HTTPS??:
kubectl exec -t postgres-2592991581-ws2td 'psql -d mydb -c "COPY groups TO STDOUT WITH CSV HEADER"' > groups.csv
So versatile, much commas!
Do you even?
Yes I did, here are my notes:
The COPYses
Using /copy effectively executes file operations on whatever system the psql command is running on, as the user who is executing it1. If you connect to a remote server, it's simple to copy data files on the system executing psql to/from the remote server.
COPY executes file operations on the server as the backend process user account (default postgres), file paths and permissions are checked and applied accordingly. If using TO STDOUT then file permissions checks are bypassed.
Both of these options require subsequent file movement if psql is not executing on the system where you want the resultant CSV to ultimately reside. This is the most likely case, in my experience, when you mostly work with remote servers.
It is more complex to configure something like a TCP/IP tunnel over ssh to a remote system for simple CSV output, but for other output formats (binary) it may be better to /copy over a tunneled connection, executing a local psql. In a similar vein, for large imports, moving the source file to the server and using COPY is probably the highest-performance option.
PSQL Parameters
With psql parameters you can format the output like CSV but there are downsides like having to remember to disable the pager and not getting headers:
$ psql -P pager=off -d mydb -t -A -F',' -c 'select * from groups;'
2,Technician,Test 2,,,t,,0,,
3,Truck,1,2017-10-02,,t,,0,,
4,Truck,2,2017-10-02,,t,,0,,
Other Tools
No, I just want to get CSV out of my server without compiling and/or installing a tool.
New version - psql 12 - will support --csv.
psql - devel
--csv
Switches to CSV (Comma-Separated Values) output mode. This is equivalent to \pset format csv.
csv_fieldsep
Specifies the field separator to be used in CSV output format. If the separator character appears in a field's value, that field is output within double quotes, following standard CSV rules. The default is a comma.
Usage:
psql -c "SELECT * FROM pg_catalog.pg_tables" --csv postgres
psql -c "SELECT * FROM pg_catalog.pg_tables" --csv -P csv_fieldsep='^' postgres
psql -c "SELECT * FROM pg_catalog.pg_tables" --csv postgres > output.csv
If you're interested in all the columns of a particular table along with headers, you can use
COPY table TO '/some_destdir/mycsv.csv' WITH CSV HEADER;
This is a tiny bit simpler than
COPY (SELECT * FROM table) TO '/some_destdir/mycsv.csv' WITH CSV HEADER;
which, to the best of my knowledge, are equivalent.
I had to use the \COPY because I received the error message:
ERROR: could not open file "/filepath/places.csv" for writing: Permission denied
So I used:
\Copy (Select address, zip From manjadata) To '/filepath/places.csv' With CSV;
and it is functioning
psql can do this for you:
edd#ron:~$ psql -d beancounter -t -A -F"," \
-c "select date, symbol, day_close " \
"from stockprices where symbol like 'I%' " \
"and date >= '2009-10-02'"
2009-10-02,IBM,119.02
2009-10-02,IEF,92.77
2009-10-02,IEV,37.05
2009-10-02,IJH,66.18
2009-10-02,IJR,50.33
2009-10-02,ILF,42.24
2009-10-02,INTC,18.97
2009-10-02,IP,21.39
edd#ron:~$
See man psql for help on the options used here.
I'm working on AWS Redshift, which does not support the COPY TO feature.
My BI tool supports tab-delimited CSVs though, so I used the following:
psql -h dblocation -p port -U user -d dbname -F $'\t' --no-align -c "SELECT * FROM TABLE" > outfile.csv
In pgAdmin III there is an option to export to file from the query window. In the main menu it's Query -> Execute to file or there's a button that does the same thing (it's a green triangle with a blue floppy disk as opposed to the plain green triangle which just runs the query). If you're not running the query from the query window then I'd do what IMSoP suggested and use the copy command.
I tried several things but few of them were able to give me the desired CSV with header details.
Here is what worked for me.
psql -d dbame -U username \
-c "COPY ( SELECT * FROM TABLE ) TO STDOUT WITH CSV HEADER " > \
OUTPUT_CSV_FILE.csv
I've written a little tool called psql2csv that encapsulates the COPY query TO STDOUT pattern, resulting in proper CSV. It's interface is similar to psql.
psql2csv [OPTIONS] < QUERY
psql2csv [OPTIONS] QUERY
The query is assumed to be the contents of STDIN, if present, or the last argument. All other arguments are forwarded to psql except for these:
-h, --help show help, then exit
--encoding=ENCODING use a different encoding than UTF8 (Excel likes LATIN1)
--no-header do not output a header
If you have longer query and you like to use psql then put your query to a file and use the following command:
psql -d my_db_name -t -A -F";" -f input-file.sql -o output-file.csv
To Download CSV file with column names as HEADER use this command:
Copy (Select * From tableName) To '/tmp/fileName.csv' With CSV HEADER;
Since Postgres 12, you can change the output format :
\pset format csv
The following formats are allowed :
aligned, asciidoc, csv, html, latex, latex-longtable, troff-ms, unaligned, wrapped
If you want to export the result of a request, you can use the \o filename feature.
Example :
\pset format csv
\o file.csv
SELECT * FROM table LIMIT 10;
\o
\pset format aligned
I found that psql --csv creates a CSV file with UTF8 characters but it is missing the UTF8 Byte Order Mark (0xEF 0xBB 0xBF). Without taking it into account, the default import of this CSV file will corrupt international characters such as CJK characters.
To fix it, I devised the following script:
# Define a connection to the Postgres database through environment variables
export PGHOST=your.pg.host
export PGPORT=5432
export PGDATABASE=your_pg_database
export PGUSER=your_pg_user
# Place credentials in $HOME/.pgpass with the format:
# ${PGHOST}:${PGPORT}:${PGUSER}:master:${PGPASSWORD}
# Populate long SQL query in a text file:
cat > /tmp/query.sql <<EOF
SELECT item.item_no,item_descrip,
invoice.invoice_no,invoice.sold_qty
FROM item
LEFT JOIN invoice
ON item.item_no=invoice.item_no;
EOF
# Generate CSV report with UTF8 BOM mark
printf '\xEF\xBB\xBF' > report.csv
psql -f /tmp/query.sql --csv | tee -a report.csv
Doing it this way, lets me script the CSV creation process for automation and allows me to succinctly maintain the script in a single source file.
import json
cursor = conn.cursor()
qry = """ SELECT details FROM test_csvfile """
cursor.execute(qry)
rows = cursor.fetchall()
value = json.dumps(rows)
with open("/home/asha/Desktop/Income_output.json","w+") as f:
f.write(value)
print 'Saved to File Successfully'
JackDB, a database client in your web browser, makes this really easy. Especially if you're on Heroku.
It lets you connect to remote databases and run SQL queries on them.
Source
(source: jackdb.com)
Once your DB is connected, you can run a query and export to CSV or TXT (see bottom right).
Note: I'm in no way affiliated with JackDB. I currently use their free services and think it's a great product.
Per the request of #skeller88, I am reposting my comment as an answer so that it doesn't get lost by people who don't read every response...
The problem with DataGrip is that it puts a grip on your wallet. It is not free. Try the community edition of DBeaver at dbeaver.io. It is a FOSS multi-platform database tool for SQL programmers, DBAs and analysts that supports all popular databases: MySQL, PostgreSQL, SQLite, Oracle, DB2, SQL Server, Sybase, MS Access, Teradata, Firebird, Hive, Presto, etc.
DBeaver Community Edition makes it trivial to connect to a database, issue queries to retrieve data, and then download the result set to save it to CSV, JSON, SQL, or other common data formats. It's a viable FOSS competitor to TOAD for Postgres, TOAD for SQL Server, or Toad for Oracle.
I have no affiliation with DBeaver. I love the price and functionality, but I wish they would open up the DBeaver/Eclipse application more and made it easy to add analytics widgets to DBeaver / Eclipse, rather than requiring users to pay for the annual subscription to create graphs and charts directly within the application. My Java coding skills are rusty and I don't feel like taking weeks to relearn how to build Eclipse widgets, only to find that DBeaver has disabled the ability to add third-party widgets to the DBeaver Community Edition.
Do DBeaver users have insight as to the steps to create analytics widgets to add into the Community Edition of DBeaver?