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

Example 31 with SparkSqlDialect

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

the class TestPitJoinController method testGenerateSqlPrefix.

@Test
public void testGenerateSqlPrefix() {
    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", fgRight, "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, "R_", 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` `R_pk1`, `fg2`.`ts` `R_ts`, `fg2`.`ft1` `R_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`.`fg1_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`.`R_pk1`, `right_fg1`.`R_ts`, `right_fg1`.`R_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 32 with SparkSqlDialect

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

the class TestPitJoinController method testGenerateSqlTrainingDatasetWithJoinKeysDropped.

@Test
public void testGenerateSqlTrainingDatasetWithJoinKeysDropped() {
    List<Feature> leftFeaturesSelected = new ArrayList<>();
    leftFeaturesSelected.add(new Feature("label", "fg0", fgLeft, false, 1));
    List<Feature> leftFeaturesAvailable = new ArrayList<>();
    leftFeaturesAvailable.add(new Feature("pk1", "fg0", fgLeft, true));
    leftFeaturesAvailable.add(new Feature("pk2", "fg0", fgLeft));
    leftFeaturesAvailable.add(new Feature("ts", "fg0", fgLeft));
    leftFeaturesAvailable.add(new Feature("label", "fg0", fgLeft));
    // add all features to left query as we do for training datasets
    leftFeaturesSelected.add(new Feature("ft1", "fg1", fgRight, false, 2));
    leftFeaturesSelected.add(new Feature("ft2", "fg2", fgRight1, false, 3));
    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<Feature> rightAvailableFeatures = new ArrayList<>();
    rightAvailableFeatures.add(new Feature("pk1", "fg1", fgRight));
    rightAvailableFeatures.add(new Feature("pk2", "fg1", fgRight));
    rightAvailableFeatures.add(new Feature("ts", "fg1", fgRight));
    rightAvailableFeatures.add(new Feature("ft1", "fg1", fgRight));
    List<Feature> rightAvailableFeatures1 = new ArrayList<>();
    rightAvailableFeatures1.add(new Feature("pk1", "fg2", fgRight1));
    rightAvailableFeatures1.add(new Feature("ts", "fg2", fgRight1));
    rightAvailableFeatures1.add(new Feature("ft2", "fg2", fgRight1));
    // 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", leftFeaturesSelected, leftFeaturesAvailable, false, null);
    Query right = new Query("fs", "project", fgRight, "fg1", new ArrayList<>(), rightAvailableFeatures, false, null);
    Query right1 = new Query("fs", "project", fgRight1, "fg2", new ArrayList<>(), rightAvailableFeatures1, 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`.`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`.`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`.`label`, `right_fg0`.`ft1`, `right_fg1`.`ft2`\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 33 with SparkSqlDialect

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

the class TestFilterController method testGetSQLNodeTimestamp.

@Test
public void testGetSQLNodeTimestamp() throws Exception {
    SqlNode node = filterController.getSQLNode("timestamp", "2021-11-12 09:55:32.084354");
    String result = node.toSqlString(new SparkSqlDialect(SqlDialect.EMPTY_CONTEXT)).getSql();
    String expected = "TIMESTAMP '2021-11-12 09:55:32.084'";
    Assert.assertEquals(expected, result);
    result = node.toSqlString(new HiveSqlDialect(SqlDialect.EMPTY_CONTEXT)).getSql();
    Assert.assertEquals(expected, result);
}

Example 34 with SparkSqlDialect

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

the class TestFilterController method testGenerateFilterLogicNodeInOnline.

@Test
public void testGenerateFilterLogicNodeInOnline() {
    FilterLogic filter = new FilterLogic(new Filter(fg2Features, SqlCondition.IN, "?"));
    String result = filterController.generateFilterLogicNode(filter, true).toSqlString(new SparkSqlDialect(SqlDialect.EMPTY_CONTEXT)).getSql();
    System.out.println(result);
    String expected = "(`fg2`.`fg2_pk`, `fg2`.`fg2_ft`) IN ?";
    Assert.assertEquals(expected, result);
}

Example 35 with SparkSqlDialect

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

the class TestFilterController method testGetSQLNodeOther.

@Test
public void testGetSQLNodeOther() throws Exception {
    SqlNode node = filterController.getSQLNode("int", "5");
    String result = node.toSqlString(new SparkSqlDialect(SqlDialect.EMPTY_CONTEXT)).getSql();
    String expected = "5";
    Assert.assertEquals(expected, result);
    result = node.toSqlString(new HiveSqlDialect(SqlDialect.EMPTY_CONTEXT)).getSql();
    Assert.assertEquals(expected, result);
}