Examples with SparkSqlDialect org.apache.calcite.sql.dialect.SparkSqlDialect used on opensource projects

Example 1 with SparkSqlDialect

use of org.apache.calcite.sql.dialect.SparkSqlDialect in project hopsworks by logicalclocks.

the class TestPitJoinController method testWrapSubQueries.

@Test
public void testWrapSubQueries() {
    List<Feature> leftFeatures = new ArrayList<>();
    leftFeatures.add(new Feature("pk1", "fg0", fgLeft, true));
    leftFeatures.add(new Feature("pk2", "fg0", fgLeft));
    leftFeatures.add(new Feature("ts", "fg0", fgLeft));
    leftFeatures.add(new Feature("label", "fg0", fgLeft));
    List<Feature> rightFeatures = new ArrayList<>();
    rightFeatures.add(new Feature("pk1", "fg1", fgRight));
    rightFeatures.add(new Feature("pk2", "fg1", fgRight));
    rightFeatures.add(new Feature("ts", "fg1", fgRight));
    rightFeatures.add(new Feature("ft1", "fg1", fgRight));
    List<Feature> leftOn = Arrays.asList(new Feature("pk1", "fg0", fgLeft), new Feature("pk2", "fg0", fgLeft));
    List<Feature> rightOn = Arrays.asList(new Feature("pk1", "fg1", fgRight), new Feature("pk2", "fg1", fgRight));
    List<SqlCondition> joinOperator = Arrays.asList(SqlCondition.EQUALS, SqlCondition.EQUALS);
    Query query = new Query("fs", "project", fgLeft, "fg0", leftFeatures, leftFeatures, false, null);
    Query right = new Query("fs", "project", fgRight, "fg1", rightFeatures, rightFeatures, false, null);
    Join join = new Join(query, right, leftOn, rightOn, JoinType.INNER, null, joinOperator);
    query.setJoins(Collections.singletonList(join));
    Query baseQuery = new Query(query.getFeatureStore(), query.getProject(), query.getFeaturegroup(), query.getAs(), query.getFeatures(), query.getAvailableFeatures(), query.getHiveEngine(), query.getFilter());
    List<SqlSelect> result = pitJoinController.wrapSubQueries(pitJoinController.generateSubQueries(baseQuery, query, false));
    String expected = "SELECT *\n" + "FROM (SELECT `fg0`.`pk1`, `fg0`.`pk2`, `fg0`.`ts`, `fg0`.`label`, `fg0`.`pk1` `join_pk_pk1`, `fg0`.`ts` `join_evt_ts`, `fg1`.`pk1`, `fg1`.`pk2`, `fg1`.`ts`, `fg1`.`ft1`, " + "RANK() OVER (PARTITION BY `fg0`.`pk1`, `fg0`.`pk2`, `fg0`.`ts` ORDER BY `fg1`.`ts` DESC) pit_rank_hopsworks\n" + "FROM `fs`.`fg0_1` `fg0`\n" + "INNER JOIN `fs`.`fg1_1` `fg1` ON `fg0`.`pk1` = `fg1`.`pk1` AND `fg0`.`pk2` = `fg1`.`pk2` AND `fg0`.`ts` >= `fg1`.`ts`) NA\n" + "WHERE `pit_rank_hopsworks` = 1";
    Assert.assertEquals(1, result.size());
    Assert.assertEquals(expected, result.get(0).toSqlString(new SparkSqlDialect(SqlDialect.EMPTY_CONTEXT)).getSql());
}

Example 2 with SparkSqlDialect

use of org.apache.calcite.sql.dialect.SparkSqlDialect in project hopsworks by logicalclocks.

the class TestJoinController method testFourConditionsOn.

@Test
public void testFourConditionsOn() {
    List<Feature> availableLeft = new ArrayList<>();
    availableLeft.add(new Feature("ft1", true));
    availableLeft.add(new Feature("ft2", true));
    availableLeft.add(new Feature("ft3", true));
    availableLeft.add(new Feature("ft4", true));
    List<Feature> availableRight = new ArrayList<>();
    availableRight.add(new Feature("ft1", true));
    availableRight.add(new Feature("ft2", true));
    availableRight.add(new Feature("ft3", true));
    availableRight.add(new Feature("ft4", true));
    Query leftQuery = new Query("fs1", "project_fs1", fg1, "fg1", availableLeft, availableLeft);
    Query rightQuery = new Query("fs1", "project_fs1", fg2, "fg2", availableRight, availableRight);
    Join join = new Join(leftQuery, rightQuery, availableLeft, availableLeft, JoinType.INNER, null, Arrays.asList(SqlCondition.EQUALS, SqlCondition.EQUALS, SqlCondition.EQUALS, SqlCondition.EQUALS));
    leftQuery.setJoins(Arrays.asList(join));
    SqlNode sqlNode = joinController.getLeftRightCondition(join, false);
    String sqlConditionStr = sqlNode.toSqlString(new SparkSqlDialect(SqlDialect.EMPTY_CONTEXT)).toString();
    Assert.assertEquals("`fg1`.`ft1` = `fg2`.`ft1` AND `fg1`.`ft2` = `fg2`.`ft2` " + "AND `fg1`.`ft3` = `fg2`.`ft3` AND `fg1`.`ft4` = `fg2`.`ft4`", sqlConditionStr);
}

Example 3 with SparkSqlDialect

use of org.apache.calcite.sql.dialect.SparkSqlDialect in project hopsworks by logicalclocks.

the class TestPitJoinController method testGenerateSql.

@Test
public void testGenerateSql() {
    List<Feature> leftFeatures = new ArrayList<>();
    leftFeatures.add(new Feature("pk1", "fg0", fgLeft, true));
    leftFeatures.add(new Feature("pk2", "fg0", fgLeft));
    leftFeatures.add(new Feature("ts", "fg0", fgLeft));
    leftFeatures.add(new Feature("label", "fg0", fgLeft));
    List<Feature> rightFeatures = new ArrayList<>();
    rightFeatures.add(new Feature("pk1", "fg1", fgRight));
    rightFeatures.add(new Feature("pk2", "fg1", fgRight));
    rightFeatures.add(new Feature("ts", "fg1", fgRight));
    rightFeatures.add(new Feature("ft1", "fg1", fgRight));
    List<Feature> rightFeatures1 = new ArrayList<>();
    rightFeatures1.add(new Feature("pk1", "fg2", fgRight1));
    rightFeatures1.add(new Feature("ts", "fg2", fgRight1));
    rightFeatures1.add(new Feature("ft1", "fg2", fgRight1));
    List<Feature> leftOn = Arrays.asList(new Feature("pk1", "fg0", fgLeft), new Feature("pk2", "fg0", fgLeft));
    List<Feature> rightOn = Arrays.asList(new Feature("pk1", "fg1", fgRight), new Feature("pk2", "fg1", fgRight));
    // join on different pks
    List<Feature> leftOn1 = Collections.singletonList(new Feature("pk1", "fg0", fgLeft));
    List<Feature> rightOn1 = Collections.singletonList(new Feature("pk1", "fg2", fgRight1));
    List<SqlCondition> joinOperator = Arrays.asList(SqlCondition.EQUALS, SqlCondition.EQUALS);
    List<SqlCondition> joinOperator1 = Collections.singletonList(SqlCondition.EQUALS);
    Query query = new Query("fs", "project", fgLeft, "fg0", leftFeatures, leftFeatures, false, null);
    Query right = new Query("fs", "project", fgRight, "fg1", rightFeatures, rightFeatures, false, null);
    Query right1 = new Query("fs", "project", fgRight1, "fg2", rightFeatures1, rightFeatures1, false, null);
    Join join = new Join(query, right, leftOn, rightOn, JoinType.INNER, null, joinOperator);
    Join join1 = new Join(query, right1, leftOn1, rightOn1, JoinType.INNER, null, joinOperator1);
    query.setJoins(Arrays.asList(join, join1));
    String result = pitJoinController.generateSQL(query, false).toSqlString(new SparkSqlDialect(SqlDialect.EMPTY_CONTEXT)).getSql();
    String expected = "WITH right_fg0 AS (SELECT *\n" + "FROM (SELECT `fg0`.`pk1`, `fg0`.`pk2`, `fg0`.`ts`, `fg0`.`label`, `fg0`.`pk1` `join_pk_pk1`, `fg0`.`ts` `join_evt_ts`, `fg1`.`pk1`, `fg1`.`pk2`, `fg1`.`ts`, `fg1`.`ft1`, " + "RANK() OVER (PARTITION BY `fg0`.`pk1`, `fg0`.`pk2`, `fg0`.`ts` ORDER BY `fg1`.`ts` DESC) pit_rank_hopsworks\n" + "FROM `fs`.`fg0_1` `fg0`\n" + "INNER JOIN `fs`.`fg1_1` `fg1` ON `fg0`.`pk1` = `fg1`.`pk1` AND `fg0`.`pk2` = `fg1`.`pk2` AND `fg0`.`ts` >= `fg1`.`ts`) NA\n" + "WHERE `pit_rank_hopsworks` = 1), " + "right_fg1 AS (SELECT *\n" + "FROM (SELECT `fg0`.`pk1`, `fg0`.`pk2`, `fg0`.`ts`, `fg0`.`label`, `fg0`.`pk1` `join_pk_pk1`, `fg0`.`ts` `join_evt_ts`, `fg2`.`pk1`, `fg2`.`ts`, `fg2`.`ft1`, " + "RANK() OVER (PARTITION BY `fg0`.`pk1`, `fg0`.`ts` ORDER BY `fg2`.`ts` DESC) pit_rank_hopsworks\n" + "FROM `fs`.`fg0_1` `fg0`\n" + "INNER JOIN `fs`.`fg2_1` `fg2` ON `fg0`.`pk1` = `fg2`.`pk1` AND `fg0`.`ts` >= `fg2`.`ts`) NA\n" + "WHERE `pit_rank_hopsworks` = 1) (" + "SELECT `right_fg0`.`pk1`, `right_fg0`.`pk2`, `right_fg0`.`ts`, `right_fg0`.`label`, `right_fg0`.`pk1`, `right_fg0`.`pk2`, `right_fg0`.`ts`, `right_fg0`.`ft1`, `right_fg1`.`pk1`, `right_fg1`.`ts`, `right_fg1`.`ft1`\n" + "FROM right_fg0\n" + "INNER JOIN right_fg1 ON `right_fg0`.`join_pk_pk1` = `right_fg1`.`join_pk_pk1` AND `right_fg0`.`join_evt_ts` = `right_fg1`.`join_evt_ts`)";
    Assert.assertEquals(expected, result);
}

Example 4 with SparkSqlDialect

use of org.apache.calcite.sql.dialect.SparkSqlDialect in project hopsworks by logicalclocks.

the class TestPitJoinController method testGenerateSqlTrainingDatasetWrongFeatureOrder.

@Test
public void testGenerateSqlTrainingDatasetWrongFeatureOrder() {
    List<Feature> leftFeatures = new ArrayList<>();
    leftFeatures.add(new Feature("pk1", "fg0", fgLeft, true, 1));
    leftFeatures.add(new Feature("pk2", "fg0", fgLeft, false, 2));
    leftFeatures.add(new Feature("ts", "fg0", fgLeft, false, 3));
    leftFeatures.add(new Feature("label", "fg0", fgLeft, false, 4));
    // note wrong order
    leftFeatures.add(new Feature("ft1", "fg1", fgRight, false, 6));
    leftFeatures.add(new Feature("ft2", "fg2", fgRight1, false, 5));
    List<Feature> leftOn = Arrays.asList(new Feature("pk1", "fg0", fgLeft), new Feature("pk2", "fg0", fgLeft));
    List<Feature> rightOn = Arrays.asList(new Feature("pk1", "fg1", fgRight), new Feature("pk2", "fg1", fgRight));
    // join on different pks
    List<Feature> leftOn1 = Collections.singletonList(new Feature("pk1", "fg0", fgLeft));
    List<Feature> rightOn1 = Collections.singletonList(new Feature("pk1", "fg2", fgRight1));
    List<SqlCondition> joinOperator = Arrays.asList(SqlCondition.EQUALS, SqlCondition.EQUALS);
    List<SqlCondition> joinOperator1 = Collections.singletonList(SqlCondition.EQUALS);
    Query query = new Query("fs", "project", fgLeft, "fg0", leftFeatures, leftFeatures, false, null);
    Query right = new Query("fs", "project", fgRight, "fg1", new ArrayList<>(), new ArrayList<>(), false, null);
    Query right1 = new Query("fs", "project", fgRight1, "fg2", new ArrayList<>(), new ArrayList<>(), false, null);
    Join join = new Join(query, right, leftOn, rightOn, JoinType.INNER, null, joinOperator);
    Join join1 = new Join(query, right1, leftOn1, rightOn1, JoinType.INNER, null, joinOperator1);
    query.setJoins(Arrays.asList(join, join1));
    String result = pitJoinController.generateSQL(query, true).toSqlString(new SparkSqlDialect(SqlDialect.EMPTY_CONTEXT)).getSql();
    String expected = "WITH right_fg0 AS (SELECT *\n" + "FROM (SELECT `fg0`.`pk1`, `fg0`.`pk2`, `fg0`.`ts`, `fg0`.`label`, `fg1`.`ft1`, `fg0`.`pk1` `join_pk_pk1`, `fg0`.`ts` `join_evt_ts`, " + "RANK() OVER (PARTITION BY `fg0`.`pk1`, `fg0`.`pk2`, `fg0`.`ts` ORDER BY `fg1`.`ts` DESC) pit_rank_hopsworks\n" + "FROM `fs`.`fg0_1` `fg0`\n" + "INNER JOIN `fs`.`fg1_1` `fg1` ON `fg0`.`pk1` = `fg1`.`pk1` AND `fg0`.`pk2` = `fg1`.`pk2` AND `fg0`.`ts` >= `fg1`.`ts`) NA\n" + "WHERE `pit_rank_hopsworks` = 1), " + "right_fg1 AS (SELECT *\n" + "FROM (SELECT `fg0`.`pk1`, `fg0`.`pk2`, `fg0`.`ts`, `fg0`.`label`, `fg2`.`ft2`, `fg0`.`pk1` `join_pk_pk1`, `fg0`.`ts` `join_evt_ts`, " + "RANK() OVER (PARTITION BY `fg0`.`pk1`, `fg0`.`ts` ORDER BY `fg2`.`ts` DESC) pit_rank_hopsworks\n" + "FROM `fs`.`fg0_1` `fg0`\n" + "INNER JOIN `fs`.`fg2_1` `fg2` ON `fg0`.`pk1` = `fg2`.`pk1` AND `fg0`.`ts` >= `fg2`.`ts`) NA\n" + "WHERE `pit_rank_hopsworks` = 1) (" + "SELECT `right_fg0`.`pk1`, `right_fg0`.`pk2`, `right_fg0`.`ts`, `right_fg0`.`label`, `right_fg1`.`ft2`, `right_fg0`.`ft1`\n" + "FROM right_fg0\n" + "INNER JOIN right_fg1 ON `right_fg0`.`join_pk_pk1` = `right_fg1`.`join_pk_pk1` AND `right_fg0`.`join_evt_ts` = `right_fg1`.`join_evt_ts`)";
    Assert.assertEquals(expected, result);
}

Example 5 with SparkSqlDialect

use of org.apache.calcite.sql.dialect.SparkSqlDialect in project hopsworks by logicalclocks.

the class TestPitJoinController method testGenerateSubQueriesSingle.

@Test
public void testGenerateSubQueriesSingle() {
    List<Feature> leftFeatures = new ArrayList<>();
    leftFeatures.add(new Feature("pk1", "fg0", fgLeft, true));
    leftFeatures.add(new Feature("pk2", "fg0", fgLeft));
    leftFeatures.add(new Feature("ts", "fg0", fgLeft));
    leftFeatures.add(new Feature("label", "fg0", fgLeft));
    List<Feature> rightFeatures = new ArrayList<>();
    rightFeatures.add(new Feature("pk1", "fg1", fgRight));
    rightFeatures.add(new Feature("pk2", "fg1", fgRight));
    rightFeatures.add(new Feature("ts", "fg1", fgRight));
    rightFeatures.add(new Feature("ft1", "fg1", fgRight));
    List<Feature> leftOn = Arrays.asList(new Feature("pk1", "fg0", fgLeft), new Feature("pk2", "fg0", fgLeft));
    List<Feature> rightOn = Arrays.asList(new Feature("pk1", "fg1", fgRight), new Feature("pk2", "fg1", fgRight));
    List<SqlCondition> joinOperator = Arrays.asList(SqlCondition.EQUALS, SqlCondition.EQUALS);
    Query query = new Query("fs", "project", fgLeft, "fg0", leftFeatures, leftFeatures, false, null);
    Query right = new Query("fs", "project", fgRight, "fg1", rightFeatures, rightFeatures, false, null);
    Join join = new Join(query, right, leftOn, rightOn, JoinType.INNER, null, joinOperator);
    query.setJoins(Collections.singletonList(join));
    Query baseQuery = new Query(query.getFeatureStore(), query.getProject(), query.getFeaturegroup(), query.getAs(), query.getFeatures(), query.getAvailableFeatures(), query.getHiveEngine(), query.getFilter());
    List<SqlCall> result = pitJoinController.generateSubQueries(baseQuery, query, false);
    String expected = "(SELECT `fg0`.`pk1`, `fg0`.`pk2`, `fg0`.`ts`, `fg0`.`label`, `fg0`.`pk1` `join_pk_pk1`, `fg0`.`ts` `join_evt_ts`, `fg1`.`pk1`, `fg1`.`pk2`, `fg1`.`ts`, `fg1`.`ft1`, " + "RANK() OVER (PARTITION BY `fg0`.`pk1`, `fg0`.`pk2`, `fg0`.`ts` ORDER BY `fg1`.`ts` DESC) pit_rank_hopsworks\n" + "FROM `fs`.`fg0_1` `fg0`\n" + "INNER JOIN `fs`.`fg1_1` `fg1` ON `fg0`.`pk1` = `fg1`.`pk1` AND `fg0`.`pk2` = `fg1`.`pk2` AND `fg0`.`ts` >= `fg1`.`ts`) NA";
    Assert.assertEquals(1, result.size());
    Assert.assertEquals(expected, result.get(0).toSqlString(new SparkSqlDialect(SqlDialect.EMPTY_CONTEXT)).getSql());
}