Examples with Worker io.questdb.mp.Worker used on opensource projects

Example 1 with Worker

use of io.questdb.mp.Worker in project questdb by bluestreak01.

the class GroupByNotKeyedVectorRecordCursorFactory method getCursor.

@Override
public RecordCursor getCursor(SqlExecutionContext executionContext) throws SqlException {
    final MessageBus bus = executionContext.getMessageBus();
    final PageFrameCursor cursor = base.getPageFrameCursor(executionContext);
    final int vafCount = vafList.size();
    // clear state of aggregate functions
    for (int i = 0; i < vafCount; i++) {
        vafList.getQuick(i).clear();
    }
    final RingQueue<VectorAggregateTask> queue = bus.getVectorAggregateQueue();
    final Sequence pubSeq = bus.getVectorAggregatePubSeq();
    this.entryPool.clear();
    this.activeEntries.clear();
    int queuedCount = 0;
    int ownCount = 0;
    int reclaimed = 0;
    int total = 0;
    doneLatch.reset();
    // check if this executed via worker pool
    final Thread thread = Thread.currentThread();
    final int workerId;
    if (thread instanceof Worker) {
        workerId = ((Worker) thread).getWorkerId();
    } else {
        workerId = 0;
    }
    PageFrame frame;
    while ((frame = cursor.next()) != null) {
        for (int i = 0; i < vafCount; i++) {
            final VectorAggregateFunction vaf = vafList.getQuick(i);
            final int columnIndex = vaf.getColumnIndex();
            // for functions like `count()`, that do not have arguments we are required to provide
            // count of rows in table in a form of "pageSize >> shr". Since `vaf` doesn't provide column
            // this code used column 0. Assumption here that column 0 is fixed size.
            // This assumption only holds because our aggressive algorithm for "top down columns", e.g.
            // the algorithm that forces page frame to provide only columns required by the select. At the time
            // of writing this code there is no way to return variable length column out of non-keyed aggregation
            // query. This might change if we introduce something like `first(string)`. When this happens we will
            // need to rethink our way of computing size for the count. This would be either type checking column
            // 0 and working out size differently or finding any fixed-size column and using that.
            final long pageAddress = columnIndex > -1 ? frame.getPageAddress(columnIndex) : 0;
            final long pageSize = columnIndex > -1 ? frame.getPageSize(columnIndex) : frame.getPageSize(0);
            final int colSizeShr = columnIndex > -1 ? frame.getColumnShiftBits(columnIndex) : frame.getColumnShiftBits(0);
            long seq = pubSeq.next();
            if (seq < 0) {
                // diy the func
                // vaf need to know which column it is hitting in the frame and will need to
                // aggregate between frames until done
                vaf.aggregate(pageAddress, pageSize, colSizeShr, workerId);
                ownCount++;
            } else {
                final VectorAggregateEntry entry = entryPool.next();
                // null pRosti means that we do not need keyed aggregation
                entry.of(queuedCount++, vaf, null, 0, pageAddress, pageSize, colSizeShr, doneLatch);
                activeEntries.add(entry);
                queue.get(seq).entry = entry;
                pubSeq.done(seq);
            }
            total++;
        }
    }
    // all done? great start consuming the queue we just published
    // how do we get to the end? If we consume our own queue there is chance we will be consuming
    // aggregation tasks not related to this execution (we work in concurrent environment)
    // To deal with that we need to have our own checklist.
    // start at the back to reduce chance of clashing
    reclaimed = getRunWhatsLeft(queuedCount, reclaimed, workerId, activeEntries, doneLatch, LOG);
    LOG.info().$("done [total=").$(total).$(", ownCount=").$(ownCount).$(", reclaimed=").$(reclaimed).$(", queuedCount=").$(queuedCount).$(']').$();
    return this.cursor.of(cursor);
}

Example 2 with Worker

use of io.questdb.mp.Worker in project questdb by bluestreak01.

the class GroupByRecordCursorFactory method getCursor.

@Override
public RecordCursor getCursor(SqlExecutionContext executionContext) throws SqlException {
    // clear maps
    for (int i = 0, n = pRosti.length; i < n; i++) {
        Rosti.clear(pRosti[i]);
    }
    final MessageBus bus = executionContext.getMessageBus();
    final PageFrameCursor cursor = base.getPageFrameCursor(executionContext);
    final int vafCount = vafList.size();
    // clear state of aggregate functions
    for (int i = 0; i < vafCount; i++) {
        vafList.getQuick(i).clear();
    }
    final RingQueue<VectorAggregateTask> queue = bus.getVectorAggregateQueue();
    final Sequence pubSeq = bus.getVectorAggregatePubSeq();
    this.entryPool.clear();
    this.activeEntries.clear();
    int queuedCount = 0;
    int ownCount = 0;
    int reclaimed = 0;
    int total = 0;
    doneLatch.reset();
    // check if this executed via worker pool
    final Thread thread = Thread.currentThread();
    final int workerId;
    if (thread instanceof Worker) {
        workerId = ((Worker) thread).getWorkerId();
    } else {
        workerId = 0;
    }
    PageFrame frame;
    while ((frame = cursor.next()) != null) {
        final long keyAddress = frame.getPageAddress(keyColumnIndex);
        for (int i = 0; i < vafCount; i++) {
            final VectorAggregateFunction vaf = vafList.getQuick(i);
            // when column index = -1 we assume that vector function does not have value
            // argument, and it can only derive count via memory size
            final int columnIndex = vaf.getColumnIndex();
            // for functions like `count()`, that do not have arguments we are required to provide
            // count of rows in table in a form of "pageSize >> shr". Since `vaf` doesn't provide column
            // this code used column 0. Assumption here that column 0 is fixed size.
            // This assumption only holds because our aggressive algorithm for "top down columns", e.g.
            // the algorithm that forces page frame to provide only columns required by the select. At the time
            // of writing this code there is no way to return variable length column out of non-keyed aggregation
            // query. This might change if we introduce something like `first(string)`. When this happens we will
            // need to rethink our way of computing size for the count. This would be either type checking column
            // 0 and working out size differently or finding any fixed-size column and using that.
            final long valueAddress = columnIndex > -1 ? frame.getPageAddress(columnIndex) : 0;
            final int pageColIndex = columnIndex > -1 ? columnIndex : 0;
            final int columnSizeShr = frame.getColumnShiftBits(pageColIndex);
            final long valueAddressSize = frame.getPageSize(pageColIndex);
            long seq = pubSeq.next();
            if (seq < 0) {
                if (keyAddress == 0) {
                    vaf.aggregate(valueAddress, valueAddressSize, columnSizeShr, workerId);
                } else {
                    vaf.aggregate(pRosti[workerId], keyAddress, valueAddress, valueAddressSize, columnSizeShr, workerId);
                }
                ownCount++;
            } else {
                if (keyAddress != 0 || valueAddress != 0) {
                    final VectorAggregateEntry entry = entryPool.next();
                    if (keyAddress == 0) {
                        entry.of(queuedCount++, vaf, null, 0, valueAddress, valueAddressSize, columnSizeShr, doneLatch);
                    } else {
                        entry.of(queuedCount++, vaf, pRosti, keyAddress, valueAddress, valueAddressSize, columnSizeShr, doneLatch);
                    }
                    activeEntries.add(entry);
                    queue.get(seq).entry = entry;
                    pubSeq.done(seq);
                }
            }
            total++;
        }
    }
    // all done? great start consuming the queue we just published
    // how do we get to the end? If we consume our own queue there is chance we will be consuming
    // aggregation tasks not related to this execution (we work in concurrent environment)
    // To deal with that we need to have our own checklist.
    // start at the back to reduce chance of clashing
    reclaimed = GroupByNotKeyedVectorRecordCursorFactory.getRunWhatsLeft(queuedCount, reclaimed, workerId, activeEntries, doneLatch, LOG);
    long pRosti0 = pRosti[0];
    if (pRosti.length > 1) {
        LOG.debug().$("merging").$();
        for (int j = 0; j < vafCount; j++) {
            final VectorAggregateFunction vaf = vafList.getQuick(j);
            for (int i = 1, n = pRosti.length; i < n; i++) {
                vaf.merge(pRosti0, pRosti[i]);
            }
            vaf.wrapUp(pRosti0);
        }
    } else {
        for (int j = 0; j < vafCount; j++) {
            vafList.getQuick(j).wrapUp(pRosti0);
        }
    }
    LOG.info().$("done [total=").$(total).$(", ownCount=").$(ownCount).$(", reclaimed=").$(reclaimed).$(", queuedCount=").$(queuedCount).$(']').$();
    return this.cursor.of(cursor);
}