There should be a static setRanges(Configuration, Collection<Range>)
method somewhere in the type hierarchy of AccumuloInputFormat which lets
you specify the Range[s].
Not using the TimestampFilter (not being able to use the timestamp for
this filtering), you have two options to perform row-filtering based on
the value for a column.
1) Perform the filter on the client side. If you have significant
amounts of data, this will be slow. Even with MapReduce, this may
present a significant overhead in processing.
2) Implement a custom Accumulo Iterator which can perform this filtering
in Accumulo itself. I would recommend using the WholeRowIterator in
conjunction with this filter you would implement.
At a high level, configure the WholeRowIterator to aggregate all of the
Keys in one row into a single Key-Value pair. Then, implement and
configure a custom Iterator (ideally, extend the abstract Filter
iterator) which deserializes that single key-value pair back into many,
extract the createdDate column, and make a decision as to whether or not
the row should be returned to the client.
On the client, you would then unpack the serialized row into many
key-value pairs again.
Bob Cook wrote:
Thanks. I was able to get TimestampFilter to works for my needs. But I
originally wanted "createdDate" as our application creates that date
which is known to the user
and may be different than accumulo timestamp due to when the data
actually got processed into accumulo.
So if I wanted to use the ColumnFamily "createdDate" and it's value,
what java code would I have to write?
I looked at the AccumuloInputFormat class, but confused on how to
specify the "range" for the date range that I'm interested in..
So would I use the TimestampFilter Class similar to how I'm using it in
the "scanner.addScanIterator", but instead using
"AcculoInputFormat.addIterator(job, is), as below.
IteratorSetting is = newIteratorSetting(30, TimestampFilter.class);
TimestampFilter.setRange(is, startDate, endDate);
Or could I use
NOTE: for me "TimestempFilter.setRange" nor "TimestampFilter.setStart
and TimestampFilter.setEnd didn't seem to work.
On Sun, Oct 16, 2016 at 2:05 PM, Josh Elser <josh.el...@gmail.com
The TimestampFilter will return only the Keys whose timestamp fall
in the range you specify. The timestamp is an attribute on every
Key, a long value which, when not set by the client at write time,
is the number of millis since the epoch. You specify the numeric
range of timestamps you want. This is a post-filter operation --
Accumulo must still read all of the data in the table.
You need to tell *us* what the time component you're actually
filtering on: the timestamp on each Key, or the createdDate column
in each row.
MapReduce is likely more efficient to do this batch processing (as
MapReduce is a batch processing system). See the AccumuloInputFormat
Bob Cook wrote:
I'm new to accumulo and inherited this project to extract all
accumulo (assembled as a "document" by RowID) into another web
So I started with SimpleReadClient.java to "scan" all data, and
"document" based on the RowID, ColumnFamily and Value. Sending
this "document" to the service.
ID CF CV
RowID_1 createdDate "2015-01-01:00:00:01 UTC"
RowID_1 data "this is a test"
RowID_1 title "My test title"
RowID_2 createdDate "2015-01-01:12:01:01 UTC"
RowID_2 data "this is test 2"
RowID_2 title "My test2 title"
So my table is pretty simple, RowID, ColumnFamily and Value (no
I need to process one Billion "OLD" unique RowIDs (a years worth of
data) on a live system that is ingesting "new data" at a rate of
4million RowIds a day.
i.e. I need to process data from September 2015 - September
worrying about new data coming in.
So I'm thinking I need to run multiple processes to extract ALL
in this "data range" to be more efficient.
Also, it may allow me to run the processes at a lower priority
off-hours of the day when traffic is less.
My issue is how do I specify the "range" to scan, and how do I
1. Is using the "createdDate" a good idea, if so how would I
range for it.
2. How about the TimestampFilter? If I specify my start to end to
"equal" a day (about 4 Million unique RowIDs),
Will this get me all ColumnFamily and Values for a given RowID? Or
could I miss something because it's timestamp
was the next day. I don't really understand Timestamps wrt
3. Does a map-reduce job make sense. If so, how would I specify.