Bulk importing CSVs with different headers

Hello all,

So I'm trying to import a large number of CSV files into Elasticsearch. All
the files have different content in them, with different headers.

My goal is to have a directory we can drop CSVs into, and some plugin or
process would pick them up, read the header and place the data in
Elasticsearch mapping data to fields (gotten from the header).

I've looked at the CSV River plugin and Fluentd. It looks like they both
support half of the plan. The issue we run into is it looks like both want
static field names before import.

Am I wrong? Anyone's help would be wonderful.

Thanks

Ron

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You could use Logstash for this as well, it has a CSV filter.

On 24 January 2015 at 01:21, Ron rulko313@gmail.com wrote:

Hello all,

So I'm trying to import a large number of CSV files into Elasticsearch.
All the files have different content in them, with different headers.

My goal is to have a directory we can drop CSVs into, and some plugin or
process would pick them up, read the header and place the data in
Elasticsearch mapping data to fields (gotten from the header).

I've looked at the CSV River plugin and Fluentd. It looks like they both
support half of the plan. The issue we run into is it looks like both want
static field names before import.

Am I wrong? Anyone's help would be wonderful.

Thanks

Ron

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So I also looked at logstash, but you have to define the field names for each file. Same as the others.

Logstash is almost worse because you need a restart of the service when you update the config file.

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The same issue exists with the Logstash plugin. You have to define the
field names in the Logstash config file.

Almost worse, each time you update field names, you have to restart
logstash.

On Friday, January 23, 2015 at 5:23:49 PM UTC-5, Mark Walkom wrote:

You could use Logstash for this as well, it has a CSV filter.

On 24 January 2015 at 01:21, Ron <rulk...@gmail.com <javascript:>> wrote:

Hello all,

So I'm trying to import a large number of CSV files into Elasticsearch.
All the files have different content in them, with different headers.

My goal is to have a directory we can drop CSVs into, and some plugin or
process would pick them up, read the header and place the data in
Elasticsearch mapping data to fields (gotten from the header).

I've looked at the CSV River plugin and Fluentd. It looks like they both
support half of the plan. The issue we run into is it looks like both want
static field names before import.

Am I wrong? Anyone's help would be wonderful.

Thanks

Ron

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I think you are looking for this?

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Twitter : @dadoonet / @elasticsearchfr / @scrutmydocs

Le 25 janv. 2015 à 03:40, Ron rulko313@gmail.com a écrit :

The same issue exists with the Logstash plugin. You have to define the field names in the Logstash config file.

Almost worse, each time you update field names, you have to restart logstash.

On Friday, January 23, 2015 at 5:23:49 PM UTC-5, Mark Walkom wrote:
You could use Logstash for this as well, it has a CSV filter.

On 24 January 2015 at 01:21, Ron rulk...@gmail.com wrote:
Hello all,

So I'm trying to import a large number of CSV files into Elasticsearch. All the files have different content in them, with different headers.

My goal is to have a directory we can drop CSVs into, and some plugin or process would pick them up, read the header and place the data in Elasticsearch mapping data to fields (gotten from the header).

I've looked at the CSV River plugin and Fluentd. It looks like they both support half of the plan. The issue we run into is it looks like both want static field names before import.

Am I wrong? Anyone's help would be wonderful.

Thanks

Ron

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Yup.. I'm one of the guys posting in that Issue log..

On Sunday, January 25, 2015 at 12:26:04 AM UTC-5, David Pilato wrote:

I think you are looking for this?

Make it easier to ingest CSV files · Issue #2088 · elastic/logstash · GitHub

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Twitter : @dadoonet / @elasticsearchfr / @scrutmydocs

Le 25 janv. 2015 à 03:40, Ron <rulk...@gmail.com <javascript:>> a écrit :

The same issue exists with the Logstash plugin. You have to define the
field names in the Logstash config file.

Almost worse, each time you update field names, you have to restart
logstash.

On Friday, January 23, 2015 at 5:23:49 PM UTC-5, Mark Walkom wrote:

You could use Logstash for this as well, it has a CSV filter.

On 24 January 2015 at 01:21, Ron rulk...@gmail.com wrote:

Hello all,

So I'm trying to import a large number of CSV files into Elasticsearch.
All the files have different content in them, with different headers.

My goal is to have a directory we can drop CSVs into, and some plugin or
process would pick them up, read the header and place the data in
Elasticsearch mapping data to fields (gotten from the header).

I've looked at the CSV River plugin and Fluentd. It looks like they both
support half of the plan. The issue we run into is it looks like both want
static field names before import.

Am I wrong? Anyone's help would be wonderful.

Thanks

Ron

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I finally managed to modify the CsvJdbc driver from
http://csvjdbc.sourceforge.net/ so it behaves nicely and pushed it to

So the news is, if you install JDBC river 1.4.0.9 onwards, a CSV driver is
included.

To index CSV files from a directory without knowing the column names, just
use

curl -XPUT 'localhost:9200/_river/my_csv_river/_meta' -d '
{
"type": "jdbc",
"jdbc": {
"url": "jdbc:xbib:csv:/Users/joerg/Desktop/csv",
"sql": "select * from airports",
"index": "csv",
"type": "csv"
}
}'

In the URL, you specify a directory, in the SQL statement table name, you
select a file from within the directory (without .csv suffix, here:
airports.csv)

Jörg

On Sun, Jan 25, 2015 at 7:55 AM, Ron rulko313@gmail.com wrote:

Yup.. I'm one of the guys posting in that Issue log..

On Sunday, January 25, 2015 at 12:26:04 AM UTC-5, David Pilato wrote:

I think you are looking for this?

Make it easier to ingest CSV files · Issue #2088 · elastic/logstash · GitHub

--
David :wink:
Twitter : @dadoonet / @elasticsearchfr / @scrutmydocs

Le 25 janv. 2015 à 03:40, Ron rulk...@gmail.com a écrit :

The same issue exists with the Logstash plugin. You have to define the
field names in the Logstash config file.

Almost worse, each time you update field names, you have to restart
logstash.

On Friday, January 23, 2015 at 5:23:49 PM UTC-5, Mark Walkom wrote:

You could use Logstash for this as well, it has a CSV filter.

On 24 January 2015 at 01:21, Ron rulk...@gmail.com wrote:

Hello all,

So I'm trying to import a large number of CSV files into Elasticsearch.
All the files have different content in them, with different headers.

My goal is to have a directory we can drop CSVs into, and some plugin
or process would pick them up, read the header and place the data in
Elasticsearch mapping data to fields (gotten from the header).

I've looked at the CSV River plugin and Fluentd. It looks like they
both support half of the plan. The issue we run into is it looks like both
want static field names before import.

Am I wrong? Anyone's help would be wonderful.

Thanks

Ron

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Looks solid,

I'll give it a run today.

On Sunday, January 25, 2015 at 7:57:29 AM UTC-5, Jörg Prante wrote:

I finally managed to modify the CsvJdbc driver from
http://csvjdbc.sourceforge.net/ so it behaves nicely and pushed it to

GitHub - jprante/jdbc-driver-csv: JDBC driver for CSV

So the news is, if you install JDBC river 1.4.0.9 onwards, a CSV driver is
included.

GitHub - jprante/elasticsearch-jdbc: JDBC importer for Elasticsearch

To index CSV files from a directory without knowing the column names, just
use

curl -XPUT 'localhost:9200/_river/my_csv_river/_meta' -d '
{
"type": "jdbc",
"jdbc": {
"url": "jdbc:xbib:csv:/Users/joerg/Desktop/csv",
"sql": "select * from airports",
"index": "csv",
"type": "csv"
}
}'

In the URL, you specify a directory, in the SQL statement table name, you
select a file from within the directory (without .csv suffix, here:
airports.csv)

Jörg

On Sun, Jan 25, 2015 at 7:55 AM, Ron <rulk...@gmail.com <javascript:>>
wrote:

Yup.. I'm one of the guys posting in that Issue log..

On Sunday, January 25, 2015 at 12:26:04 AM UTC-5, David Pilato wrote:

I think you are looking for this?

Make it easier to ingest CSV files · Issue #2088 · elastic/logstash · GitHub

--
David :wink:
Twitter : @dadoonet / @elasticsearchfr / @scrutmydocs

Le 25 janv. 2015 à 03:40, Ron rulk...@gmail.com a écrit :

The same issue exists with the Logstash plugin. You have to define the
field names in the Logstash config file.

Almost worse, each time you update field names, you have to restart
logstash.

On Friday, January 23, 2015 at 5:23:49 PM UTC-5, Mark Walkom wrote:

You could use Logstash for this as well, it has a CSV filter.

On 24 January 2015 at 01:21, Ron rulk...@gmail.com wrote:

Hello all,

So I'm trying to import a large number of CSV files into
Elasticsearch. All the files have different content in them, with different
headers.

My goal is to have a directory we can drop CSVs into, and some plugin
or process would pick them up, read the header and place the data in
Elasticsearch mapping data to fields (gotten from the header).

I've looked at the CSV River plugin and Fluentd. It looks like they
both support half of the plan. The issue we run into is it looks like both
want static field names before import.

Am I wrong? Anyone's help would be wonderful.

Thanks

Ron

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Not having a lot of luck here
Installed the plugin based on Github, and tried the request. I'm getting a
fail..

curl -XPUT 'localhost:9200/_river/my_csv_river/_meta' -d '
{
"type": "jdbc",
"jdbc": {
"url": "jdbc:xbib:csv:/home/user",
"sql": "select * from garages",
"index": "csv",
"type": "csv"
}
}'
{"_index":"_river","_type":"my_csv_river","_id":"_meta","_version":4,"created":false}

On Sun Jan 25 2015 at 7:57:29 AM joergprante@gmail.com <
joergprante@gmail.com> wrote:

I finally managed to modify the CsvJdbc driver from
http://csvjdbc.sourceforge.net/ so it behaves nicely and pushed it to

GitHub - jprante/jdbc-driver-csv: JDBC driver for CSV

So the news is, if you install JDBC river 1.4.0.9 onwards, a CSV driver is
included.

GitHub - jprante/elasticsearch-jdbc: JDBC importer for Elasticsearch

To index CSV files from a directory without knowing the column names, just
use

curl -XPUT 'localhost:9200/_river/my_csv_river/_meta' -d '
{
"type": "jdbc",
"jdbc": {
"url": "jdbc:xbib:csv:/Users/joerg/Desktop/csv",
"sql": "select * from airports",
"index": "csv",
"type": "csv"
}
}'

In the URL, you specify a directory, in the SQL statement table name, you
select a file from within the directory (without .csv suffix, here:
airports.csv)

Jörg

On Sun, Jan 25, 2015 at 7:55 AM, Ron rulko313@gmail.com wrote:

Yup.. I'm one of the guys posting in that Issue log..

On Sunday, January 25, 2015 at 12:26:04 AM UTC-5, David Pilato wrote:

I think you are looking for this?

Make it easier to ingest CSV files · Issue #2088 · elastic/logstash · GitHub

--
David :wink:
Twitter : @dadoonet / @elasticsearchfr / @scrutmydocs

Le 25 janv. 2015 à 03:40, Ron rulk...@gmail.com a écrit :

The same issue exists with the Logstash plugin. You have to define the
field names in the Logstash config file.

Almost worse, each time you update field names, you have to restart
logstash.

On Friday, January 23, 2015 at 5:23:49 PM UTC-5, Mark Walkom wrote:

You could use Logstash for this as well, it has a CSV filter.

On 24 January 2015 at 01:21, Ron rulk...@gmail.com wrote:

Hello all,

So I'm trying to import a large number of CSV files into
Elasticsearch. All the files have different content in them, with different
headers.

My goal is to have a directory we can drop CSVs into, and some plugin
or process would pick them up, read the header and place the data in
Elasticsearch mapping data to fields (gotten from the header).

I've looked at the CSV River plugin and Fluentd. It looks like they
both support half of the plan. The issue we run into is it looks like both
want static field names before import.

Am I wrong? Anyone's help would be wonderful.

Thanks

Ron

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