I am attempting to scan an entire Accumulo table with the Java API. I have verified that the meta info is all correct (credentials, ZooKeeper server, Accumlo Instance ID, table name). At this point I'm at a dead end so any suggestion is appreciated.
1.6.2
Borrowed from accumulo read client .
// scan the whole table
System.out.println("=== whole table ===");
Scanner tableScanner;
try {
tableScanner = conn.createScanner("geomesa3_records", new Authorizations());
// conn is of type Connector
// Connector and Scanner are implemented in org.apache.accumulo.core.client
// See links below for additional info
} catch (TableNotFoundException ex) {
throw new RuntimeException("table not found - was SimpleIngestClient run?");
}
System.out.println("-------------------------------------");
for(Map.Entry<Key, Value> kv : tableScanner) { // seemingly freezes here
System.out.println("----------------- new row ---------------");
System.out.println(kv.getKey().getRow() + " "
+ kv.getKey().getColumnFamily() + " "
+ kv.getKey().getColumnQualifier() + ": "
+ new String(kv.getValue().get()));
}
tableScanner.close();
System.out.println("-------------------------------------");
System.out.println("=== end table ===");
=== whole table ===
-------------------------------------
----------------- new row ---------------
// table data
----------------- new row ---------------
// table data
----------------- new row ---------------
// table data
-------------------------------------
=== end table ===
=== whole table ===
-------------------------------------
I think you might need to set a range on the scanner. To scan and entire table, just set the range like so:
scanner.setRange(new Range());
This range will match everything. Specifically, this range "goes from negative infinity to positive infinity". Basically it matches all possible Keys.
I use a similar strategy for a fetch all operation on one of my tables.
Also, just be aware that this sort of thing can definitely cause issues. If the table gets large, this could take a very long time to run. In my case I never expect the table to grow above a few hundred logical rows, so I consider it safe.
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