private void commit(byte command, long txn, long txPin) throws JournalException {
boolean force = command == Tx.TX_FORCE;
Partition<T> partition = lastNonEmptyNonLag();
Partition<T> lag = getIrregularPartition();
tx.command = command;
tx.txn = txn;
tx.txPin = txPin;
tx.prevTxAddress = txLog.getCurrentTxAddress();
tx.journalMaxRowID =
partition == null ? -1 : Rows.toRowID(partition.getPartitionIndex(), partition.size());
tx.lastPartitionTimestamp =
partition == null || partition.getInterval() == null ? 0 : partition.getInterval().getLo();
tx.lagSize = lag == null ? 0 : lag.open().size();
tx.lagName = lag == null ? null : lag.getName();
tx.symbolTableSizes = new int[getSymbolTableCount()];
tx.symbolTableIndexPointers = new long[tx.symbolTableSizes.length];
for (int i = 0; i < tx.symbolTableSizes.length; i++) {
SymbolTable tab = getSymbolTable(i);
tab.commit();
if (force) {
tab.force();
}
tx.symbolTableSizes[i] = tab.size();
tx.symbolTableIndexPointers[i] = tab.getIndexTxAddress();
}
tx.indexPointers = new long[getMetadata().getColumnCount()];
for (int i = Math.max(txPartitionIndex, 0), sz = nonLagPartitionCount(); i < sz; i++) {
Partition<T> p = getPartition(i, true);
p.commit();
if (force) {
p.force();
}
}
if (partition != null) {
partition.getIndexPointers(tx.indexPointers);
}
tx.lagIndexPointers = new long[tx.indexPointers.length];
if (lag != null) {
lag.commit();
if (force) {
lag.force();
}
lag.getIndexPointers(tx.lagIndexPointers);
}
txLog.write(tx, txn != -1);
if (force) {
txLog.force();
}
}
private void writeDiscardFile(long rowid) throws JournalException {
if (discardTxtRaf == null) {
try {
discardTxtRaf = new RandomAccessFile(discardTxt, "rw");
discardTxtRaf.getChannel();
discardSink =
new FlexBufferSink(
discardTxtRaf.getChannel().position(discardTxtRaf.getChannel().size()),
1024 * 1024);
} catch (IOException e) {
throw new JournalException(e);
}
}
JournalMetadata m = getMetadata();
int p = Rows.toPartitionIndex(rowid);
long row = Rows.toLocalRowID(rowid);
long rowCount = 0;
try {
// partitions
for (int n = getPartitionCount() - 1; p < n; p++) {
final Partition partition = getPartition(n, true);
// partition rows
for (long r = row, psz = partition.size(); r < psz; r++) {
// partition columns
for (int c = 0, cc = m.getColumnCount(); c < cc; c++) {
switch (m.getColumnQuick(c).type) {
case DATE:
Dates.appendDateTime(discardSink, partition.getLong(r, c));
break;
case DOUBLE:
Numbers.append(discardSink, partition.getDouble(r, c), 12);
break;
case FLOAT:
Numbers.append(discardSink, partition.getFloat(r, c), 4);
break;
case INT:
Numbers.append(discardSink, partition.getInt(r, c));
break;
case STRING:
partition.getStr(r, c, discardSink);
break;
case SYMBOL:
discardSink.put(partition.getSym(r, c));
break;
case SHORT:
Numbers.append(discardSink, partition.getShort(r, c));
break;
case LONG:
Numbers.append(discardSink, partition.getLong(r, c));
break;
case BYTE:
Numbers.append(discardSink, partition.getByte(r, c));
break;
case BOOLEAN:
discardSink.put(partition.getBool(r, c) ? "true" : "false");
break;
}
if (((++rowCount) & 7) == 0) {
discardSink.flush();
}
}
}
}
} finally {
discardSink.flush();
}
}
public void mergeAppend(PeekingIterator<T> data) throws JournalException {
if (lagMillis == 0) {
throw new JournalException("This journal is not configured to have lag partition");
}
beginTx();
if (data == null || data.isEmpty()) {
return;
}
long dataMaxTimestamp = getTimestamp(data.peekLast());
long hard = getAppendTimestampLo();
if (dataMaxTimestamp < hard) {
return;
}
final Partition<T> lagPartition = openOrCreateLagPartition();
this.doDiscard = true;
this.doJournal = true;
long dataMinTimestamp = getTimestamp(data.peekFirst());
long lagMaxTimestamp = getMaxTimestamp();
long lagMinTimestamp = lagPartition.size() == 0L ? 0 : getTimestamp(lagPartition.read(0));
long soft = Math.max(dataMaxTimestamp, lagMaxTimestamp) - lagMillis;
if (dataMinTimestamp > lagMaxTimestamp) {
// this could be as simple as just appending data to lag
// the only complication is that after adding records to lag it could swell beyond
// the allocated "lagSwellTimestamp"
// we should check if this is going to happen and optimise copying of data
long lagSizeMillis;
if (hard > 0L) {
lagSizeMillis = dataMaxTimestamp - hard;
} else if (lagMinTimestamp > 0L) {
lagSizeMillis = dataMaxTimestamp - lagMinTimestamp;
} else {
lagSizeMillis = 0L;
}
if (lagSizeMillis > lagSwellMillis) {
// data would be too big and would stretch outside of swell timestamp
// this is when lag partition should be split, but it is still a straight split without
// re-order
Partition<T> tempPartition = createTempPartition().open();
splitAppend(lagPartition.bufferedIterator(), hard, soft, tempPartition);
splitAppend(data, hard, soft, tempPartition);
replaceIrregularPartition(tempPartition);
} else {
// simplest case, just append to lag
lagPartition.append(data);
}
} else {
Partition<T> tempPartition = createTempPartition().open();
if (dataMinTimestamp > lagMinTimestamp && dataMaxTimestamp < lagMaxTimestamp) {
//
// overlap scenario 1: data is fully inside of lag
//
// calc boundaries of lag that intersects with data
long lagMid1 = lagPartition.indexOf(dataMinTimestamp, BSearchType.OLDER_OR_SAME);
long lagMid2 = lagPartition.indexOf(dataMaxTimestamp, BSearchType.NEWER_OR_SAME);
// copy part of lag above data
splitAppend(lagPartition.bufferedIterator(0, lagMid1), hard, soft, tempPartition);
// merge lag with data and copy result to temp partition
splitAppendMerge(
data,
lagPartition.bufferedIterator(lagMid1 + 1, lagMid2 - 1),
hard,
soft,
tempPartition);
// copy part of lag below data
splitAppend(
lagPartition.bufferedIterator(lagMid2, lagPartition.size() - 1),
hard,
soft,
tempPartition);
} else if (dataMaxTimestamp < lagMinTimestamp && dataMaxTimestamp <= lagMinTimestamp) {
//
// overlap scenario 2: data sits directly above lag
//
splitAppend(data, hard, soft, tempPartition);
splitAppend(lagPartition.bufferedIterator(), hard, soft, tempPartition);
} else if (dataMinTimestamp <= lagMinTimestamp && dataMaxTimestamp < lagMaxTimestamp) {
//
// overlap scenario 3: bottom part of data overlaps top part of lag
//
// calc overlap line
long split = lagPartition.indexOf(dataMaxTimestamp, BSearchType.NEWER_OR_SAME);
// merge lag with data and copy result to temp partition
splitAppendMerge(
data, lagPartition.bufferedIterator(0, split - 1), hard, soft, tempPartition);
// copy part of lag below data
splitAppend(
lagPartition.bufferedIterator(split, lagPartition.size() - 1),
hard,
soft,
tempPartition);
} else if (dataMinTimestamp > lagMinTimestamp && dataMaxTimestamp >= lagMaxTimestamp) {
//
// overlap scenario 4: top part of data overlaps with bottom part of lag
//
long split = lagPartition.indexOf(dataMinTimestamp, BSearchType.OLDER_OR_SAME);
// copy part of lag above overlap
splitAppend(lagPartition.bufferedIterator(0, split), hard, soft, tempPartition);
// merge lag with data and copy result to temp partition
splitAppendMerge(
data,
lagPartition.bufferedIterator(split + 1, lagPartition.size() - 1),
hard,
soft,
tempPartition);
} else if (dataMinTimestamp <= lagMinTimestamp && dataMaxTimestamp >= lagMaxTimestamp) {
//
// overlap scenario 5: lag is fully inside of data
//
// merge lag with data and copy result to temp partition
splitAppendMerge(data, lagPartition.bufferedIterator(), hard, soft, tempPartition);
} else {
throw new JournalRuntimeException(
"Unsupported overlap type: lag min/max [%s/%s] data min/max: [%s/%s]",
Dates.toString(lagMinTimestamp),
Dates.toString(lagMaxTimestamp),
Dates.toString(dataMinTimestamp),
Dates.toString(dataMaxTimestamp));
}
replaceIrregularPartition(tempPartition);
}
}
