Examples with In org.h2.dev.util.BinaryArithmeticStream.In used on opensource projects

Example 1 with In

use of org.h2.dev.util.BinaryArithmeticStream.In in project che by eclipse.

the class JpaTckModule method configure.

@Override
protected void configure() {
    H2DBTestServer server = H2DBTestServer.startDefault();
    install(new PersistTestModuleBuilder().setDriver(Driver.class).runningOn(server).addEntityClasses(UserImpl.class, ProfileImpl.class, PreferenceEntity.class, AccountImpl.class).setExceptionHandler(H2ExceptionHandler.class).build());
    bind(DBInitializer.class).asEagerSingleton();
    bind(SchemaInitializer.class).toInstance(new FlywaySchemaInitializer(server.getDataSource(), "che-schema"));
    bind(TckResourcesCleaner.class).toInstance(new H2JpaCleaner(server.getDataSource()));
    bind(new TypeLiteral<TckRepository<UserImpl>>() {
    }).to(UserJpaTckRepository.class);
    bind(new TypeLiteral<TckRepository<ProfileImpl>>() {
    }).toInstance(new JpaTckRepository<>(ProfileImpl.class));
    bind(new TypeLiteral<TckRepository<Pair<String, Map<String, String>>>>() {
    }).to(PreferenceJpaTckRepository.class);
    bind(UserDao.class).to(JpaUserDao.class);
    bind(ProfileDao.class).to(JpaProfileDao.class);
    bind(PreferenceDao.class).to(JpaPreferenceDao.class);
    // SHA-512 encryptor is faster than PBKDF2 so it is better for testing
    bind(PasswordEncryptor.class).to(SHA512PasswordEncryptor.class).in(Singleton.class);
}

Example 2 with In

use of org.h2.dev.util.BinaryArithmeticStream.In in project che by eclipse.

the class H2TestHelper method inMemoryDefault.

/**
     * Creates new default datasource to in memory database
     * with url {@value #DEFAULT_IN_MEMORY_DB_URL}.
     * Boots database if this is invoked first time, database
     * won't be shutdown until 'SHUTDOWN' query is executed
     * or {@link #shutdownDefault()} is called directly.
     *
     * @return datasource to the in memory database
     * @deprecated use {@link H2DBTestServer}.
     */
@Deprecated
public static DataSource inMemoryDefault() {
    final JdbcDataSource dataSource = new JdbcDataSource();
    dataSource.setUrl(DEFAULT_IN_MEMORY_DB_URL);
    return dataSource;
}

Example 3 with In

use of org.h2.dev.util.BinaryArithmeticStream.In in project ignite by apache.

the class DmlStatementsProcessor method streamUpdateQuery.

/**
     * Perform given statement against given data streamer. Only rows based INSERT and MERGE are supported
     * as well as key bound UPDATE and DELETE (ones with filter {@code WHERE _key = ?}).
     *
     * @param streamer Streamer to feed data to.
     * @param stmt Statement.
     * @param args Statement arguments.
     * @return Number of rows in given statement for INSERT and MERGE, {@code 1} otherwise.
     * @throws IgniteCheckedException if failed.
     */
@SuppressWarnings({ "unchecked", "ConstantConditions" })
long streamUpdateQuery(IgniteDataStreamer streamer, PreparedStatement stmt, Object[] args) throws IgniteCheckedException {
    args = U.firstNotNull(args, X.EMPTY_OBJECT_ARRAY);
    Prepared p = GridSqlQueryParser.prepared(stmt);
    assert p != null;
    UpdatePlan plan = UpdatePlanBuilder.planForStatement(p, null);
    if (!F.eq(streamer.cacheName(), plan.tbl.rowDescriptor().context().name()))
        throw new IgniteSQLException("Cross cache streaming is not supported, please specify cache explicitly" + " in connection options", IgniteQueryErrorCode.UNSUPPORTED_OPERATION);
    if (plan.mode == UpdateMode.INSERT && plan.rowsNum > 0) {
        assert plan.isLocSubqry;
        final GridCacheContext cctx = plan.tbl.rowDescriptor().context();
        QueryCursorImpl<List<?>> cur;
        final ArrayList<List<?>> data = new ArrayList<>(plan.rowsNum);
        final GridQueryFieldsResult res = idx.queryLocalSqlFields(idx.schema(cctx.name()), plan.selectQry, F.asList(args), null, false, 0, null);
        QueryCursorImpl<List<?>> stepCur = new QueryCursorImpl<>(new Iterable<List<?>>() {

            @Override
            public Iterator<List<?>> iterator() {
                try {
                    return new GridQueryCacheObjectsIterator(res.iterator(), idx.objectContext(), cctx.keepBinary());
                } catch (IgniteCheckedException e) {
                    throw new IgniteException(e);
                }
            }
        }, null);
        data.addAll(stepCur.getAll());
        cur = new QueryCursorImpl<>(new Iterable<List<?>>() {

            @Override
            public Iterator<List<?>> iterator() {
                return data.iterator();
            }
        }, null);
        if (plan.rowsNum == 1) {
            IgniteBiTuple t = rowToKeyValue(cctx, cur.iterator().next(), plan);
            streamer.addData(t.getKey(), t.getValue());
            return 1;
        }
        Map<Object, Object> rows = new LinkedHashMap<>(plan.rowsNum);
        for (List<?> row : cur) {
            final IgniteBiTuple t = rowToKeyValue(cctx, row, plan);
            rows.put(t.getKey(), t.getValue());
        }
        streamer.addData(rows);
        return rows.size();
    } else
        throw new IgniteSQLException("Only tuple based INSERT statements are supported in streaming mode", IgniteQueryErrorCode.UNSUPPORTED_OPERATION);
}

Example 4 with In

use of org.h2.dev.util.BinaryArithmeticStream.In in project ignite by apache.

the class IgniteH2Indexing method queryDistributedSqlFields.

/** {@inheritDoc} */
@Override
public FieldsQueryCursor<List<?>> queryDistributedSqlFields(String schemaName, SqlFieldsQuery qry, boolean keepBinary, GridQueryCancel cancel, @Nullable Integer mainCacheId) {
    final String sqlQry = qry.getSql();
    Connection c = connectionForSchema(schemaName);
    final boolean enforceJoinOrder = qry.isEnforceJoinOrder();
    final boolean distributedJoins = qry.isDistributedJoins();
    final boolean grpByCollocated = qry.isCollocated();
    final DistributedJoinMode distributedJoinMode = distributedJoinMode(qry.isLocal(), distributedJoins);
    GridCacheTwoStepQuery twoStepQry = null;
    List<GridQueryFieldMetadata> meta;
    final H2TwoStepCachedQueryKey cachedQryKey = new H2TwoStepCachedQueryKey(schemaName, sqlQry, grpByCollocated, distributedJoins, enforceJoinOrder, qry.isLocal());
    H2TwoStepCachedQuery cachedQry = twoStepCache.get(cachedQryKey);
    if (cachedQry != null) {
        twoStepQry = cachedQry.query().copy();
        meta = cachedQry.meta();
    } else {
        final UUID locNodeId = ctx.localNodeId();
        // Here we will just parse the statement, no need to optimize it at all.
        H2Utils.setupConnection(c, /*distributedJoins*/
        false, /*enforceJoinOrder*/
        true);
        GridH2QueryContext.set(new GridH2QueryContext(locNodeId, locNodeId, 0, PREPARE).distributedJoinMode(distributedJoinMode));
        PreparedStatement stmt = null;
        Prepared prepared;
        boolean cachesCreated = false;
        try {
            try {
                while (true) {
                    try {
                        // Do not cache this statement because the whole query object will be cached later on.
                        stmt = prepareStatement(c, sqlQry, false);
                        break;
                    } catch (SQLException e) {
                        if (!cachesCreated && (e.getErrorCode() == ErrorCode.SCHEMA_NOT_FOUND_1 || e.getErrorCode() == ErrorCode.TABLE_OR_VIEW_NOT_FOUND_1 || e.getErrorCode() == ErrorCode.INDEX_NOT_FOUND_1)) {
                            try {
                                ctx.cache().createMissingQueryCaches();
                            } catch (IgniteCheckedException ignored) {
                                throw new CacheException("Failed to create missing caches.", e);
                            }
                            cachesCreated = true;
                        } else
                            throw new IgniteSQLException("Failed to parse query: " + sqlQry, IgniteQueryErrorCode.PARSING, e);
                    }
                }
                prepared = GridSqlQueryParser.prepared(stmt);
                if (qry instanceof JdbcSqlFieldsQuery && ((JdbcSqlFieldsQuery) qry).isQuery() != prepared.isQuery())
                    throw new IgniteSQLException("Given statement type does not match that declared by JDBC driver", IgniteQueryErrorCode.STMT_TYPE_MISMATCH);
                if (prepared.isQuery()) {
                    bindParameters(stmt, F.asList(qry.getArgs()));
                    twoStepQry = GridSqlQuerySplitter.split((JdbcPreparedStatement) stmt, qry.getArgs(), grpByCollocated, distributedJoins, enforceJoinOrder, this);
                    assert twoStepQry != null;
                }
            } finally {
                GridH2QueryContext.clearThreadLocal();
            }
            // It is a DML statement if we did not create a twoStepQuery.
            if (twoStepQry == null) {
                if (DmlStatementsProcessor.isDmlStatement(prepared)) {
                    try {
                        return dmlProc.updateSqlFieldsDistributed(schemaName, stmt, qry, cancel);
                    } catch (IgniteCheckedException e) {
                        throw new IgniteSQLException("Failed to execute DML statement [stmt=" + sqlQry + ", params=" + Arrays.deepToString(qry.getArgs()) + "]", e);
                    }
                }
                if (DdlStatementsProcessor.isDdlStatement(prepared)) {
                    try {
                        return ddlProc.runDdlStatement(sqlQry, stmt);
                    } catch (IgniteCheckedException e) {
                        throw new IgniteSQLException("Failed to execute DDL statement [stmt=" + sqlQry + ']', e);
                    }
                }
            }
            LinkedHashSet<Integer> caches0 = new LinkedHashSet<>();
            assert twoStepQry != null;
            int tblCnt = twoStepQry.tablesCount();
            if (mainCacheId != null)
                caches0.add(mainCacheId);
            if (tblCnt > 0) {
                for (QueryTable tblKey : twoStepQry.tables()) {
                    GridH2Table tbl = dataTable(tblKey);
                    int cacheId = CU.cacheId(tbl.cacheName());
                    caches0.add(cacheId);
                }
            }
            if (caches0.isEmpty())
                twoStepQry.local(true);
            else {
                //Prohibit usage indices with different numbers of segments in same query.
                List<Integer> cacheIds = new ArrayList<>(caches0);
                checkCacheIndexSegmentation(cacheIds);
                twoStepQry.cacheIds(cacheIds);
                twoStepQry.local(qry.isLocal());
            }
            meta = H2Utils.meta(stmt.getMetaData());
        } catch (IgniteCheckedException e) {
            throw new CacheException("Failed to bind parameters: [qry=" + sqlQry + ", params=" + Arrays.deepToString(qry.getArgs()) + "]", e);
        } catch (SQLException e) {
            throw new IgniteSQLException(e);
        } finally {
            U.close(stmt, log);
        }
    }
    if (log.isDebugEnabled())
        log.debug("Parsed query: `" + sqlQry + "` into two step query: " + twoStepQry);
    twoStepQry.pageSize(qry.getPageSize());
    if (cancel == null)
        cancel = new GridQueryCancel();
    int[] partitions = qry.getPartitions();
    if (partitions == null && twoStepQry.derivedPartitions() != null) {
        try {
            partitions = calculateQueryPartitions(twoStepQry.derivedPartitions(), qry.getArgs());
        } catch (IgniteCheckedException e) {
            throw new CacheException("Failed to calculate derived partitions: [qry=" + sqlQry + ", params=" + Arrays.deepToString(qry.getArgs()) + "]", e);
        }
    }
    QueryCursorImpl<List<?>> cursor = new QueryCursorImpl<>(runQueryTwoStep(schemaName, twoStepQry, keepBinary, enforceJoinOrder, qry.getTimeout(), cancel, qry.getArgs(), partitions), cancel);
    cursor.fieldsMeta(meta);
    if (cachedQry == null && !twoStepQry.explain()) {
        cachedQry = new H2TwoStepCachedQuery(meta, twoStepQry.copy());
        twoStepCache.putIfAbsent(cachedQryKey, cachedQry);
    }
    return cursor;
}

Example 5 with In

use of org.h2.dev.util.BinaryArithmeticStream.In in project ignite by apache.

the class GridSqlQuerySplitter method split.

/**
     * @param stmt Prepared statement.
     * @param params Parameters.
     * @param collocatedGrpBy Whether the query has collocated GROUP BY keys.
     * @param distributedJoins If distributed joins enabled.
     * @param enforceJoinOrder Enforce join order.
     * @param h2 Indexing.
     * @return Two step query.
     * @throws SQLException If failed.
     * @throws IgniteCheckedException If failed.
     */
public static GridCacheTwoStepQuery split(JdbcPreparedStatement stmt, Object[] params, boolean collocatedGrpBy, boolean distributedJoins, boolean enforceJoinOrder, IgniteH2Indexing h2) throws SQLException, IgniteCheckedException {
    if (params == null)
        params = GridCacheSqlQuery.EMPTY_PARAMS;
    // Here we will just do initial query parsing. Do not use optimized
    // subqueries because we do not have unique FROM aliases yet.
    GridSqlQuery qry = parse(prepared(stmt), false);
    String originalSql = qry.getSQL();
    final boolean explain = qry.explain();
    qry.explain(false);
    GridSqlQuerySplitter splitter = new GridSqlQuerySplitter(params, collocatedGrpBy, h2.kernalContext());
    // Normalization will generate unique aliases for all the table filters in FROM.
    // Also it will collect all tables and schemas from the query.
    splitter.normalizeQuery(qry);
    Connection conn = stmt.getConnection();
    // Here we will have correct normalized AST with optimized join order.
    // The distributedJoins parameter is ignored because it is not relevant for
    // the REDUCE query optimization.
    qry = parse(optimize(h2, conn, qry.getSQL(), params, false, enforceJoinOrder), true);
    // Do the actual query split. We will update the original query AST, need to be careful.
    splitter.splitQuery(qry);
    // We must have at least one map query.
    assert !F.isEmpty(splitter.mapSqlQrys) : "map";
    // We must have a reduce query.
    assert splitter.rdcSqlQry != null : "rdc";
    // distributed joins at all.
    if (distributedJoins) {
        boolean allCollocated = true;
        for (GridCacheSqlQuery mapSqlQry : splitter.mapSqlQrys) {
            Prepared prepared = optimize(h2, conn, mapSqlQry.query(), mapSqlQry.parameters(params), true, enforceJoinOrder);
            allCollocated &= isCollocated((Query) prepared);
            mapSqlQry.query(parse(prepared, true).getSQL());
        }
        // We do not need distributed joins if all MAP queries are collocated.
        if (allCollocated)
            distributedJoins = false;
    }
    // Setup resulting two step query and return it.
    GridCacheTwoStepQuery twoStepQry = new GridCacheTwoStepQuery(originalSql, splitter.tbls);
    twoStepQry.reduceQuery(splitter.rdcSqlQry);
    for (GridCacheSqlQuery mapSqlQry : splitter.mapSqlQrys) twoStepQry.addMapQuery(mapSqlQry);
    twoStepQry.skipMergeTable(splitter.rdcQrySimple);
    twoStepQry.explain(explain);
    twoStepQry.distributedJoins(distributedJoins);
    // all map queries must have non-empty derivedPartitions to use this feature.
    twoStepQry.derivedPartitions(mergePartitionsFromMultipleQueries(twoStepQry.mapQueries()));
    return twoStepQry;
}