code stringlengths 23 201k | docstring stringlengths 17 96.2k | func_name stringlengths 0 235 | language stringclasses 1
value | repo stringlengths 8 72 | path stringlengths 11 317 | url stringlengths 57 377 | license stringclasses 7
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public static void run(Driver driver, String sql) {
while (true) {
try {
CommandProcessorResponse result = driver.run(sql);
if (result.getException() != null) {
throw new RuntimeException("Execution failed for: " + sql, result.getException());
}
} catch (CommandNeedRetr... | Utility class to provide Coral functionality to Coral Service. | run | java | linkedin/coral | coral-service/src/main/java/com/linkedin/coral/coralservice/utils/CoralProvider.java | https://github.com/linkedin/coral/blob/master/coral-service/src/main/java/com/linkedin/coral/coralservice/utils/CoralProvider.java | BSD-2-Clause |
public static HiveConf loadResourceHiveConf() {
InputStream hiveConfStream = CoralProvider.class.getClassLoader().getResourceAsStream("hive.xml");
HiveConf hiveConf = new HiveConf();
hiveConf.set(CORAL_SERVICE_DIR, System.getProperty("java.io.tmpdir") + "/coral/service/" + UUID.randomUUID());
hiveConf.a... | Utility class to provide Coral functionality to Coral Service. | loadResourceHiveConf | java | linkedin/coral | coral-service/src/main/java/com/linkedin/coral/coralservice/utils/CoralProvider.java | https://github.com/linkedin/coral/blob/master/coral-service/src/main/java/com/linkedin/coral/coralservice/utils/CoralProvider.java | BSD-2-Clause |
public static CoralSpark create(RelNode irRelNode, HiveMetastoreClient hmsClient) {
SparkRelInfo sparkRelInfo = IRRelToSparkRelTransformer.transform(irRelNode);
Set<SparkUDFInfo> sparkUDFInfos = sparkRelInfo.getSparkUDFInfos();
RelNode sparkRelNode = sparkRelInfo.getSparkRelNode();
SqlNode sparkSqlNode ... | Users use this function as the main API for getting CoralSpark instance.
Internally IR RelNode is converted to Spark RelNode, and Spark RelNode to Spark SQL.
It returns an instance of CoralSpark which contains
1) Spark SQL
2) Base tables
3) Spark UDF information objects, ie. List of {@link SparkUDFInfo}
4) SqlNod... | create | java | linkedin/coral | coral-spark/src/main/java/com/linkedin/coral/spark/CoralSpark.java | https://github.com/linkedin/coral/blob/master/coral-spark/src/main/java/com/linkedin/coral/spark/CoralSpark.java | BSD-2-Clause |
public static CoralSpark create(RelNode irRelNode, Schema schema, HiveMetastoreClient hmsClient) {
List<String> aliases = schema.getFields().stream().map(Schema.Field::name).collect(Collectors.toList());
return createWithAlias(irRelNode, aliases, hmsClient);
} | Users use this function as the main API for getting CoralSpark instance.
This should be used when user need to align the Coral-spark translated SQL
with Coral-schema output schema
@param irRelNode An IR RelNode for which CoralSpark will be constructed.
@param schema Coral schema that is represented by an Avro schema
@... | create | java | linkedin/coral | coral-spark/src/main/java/com/linkedin/coral/spark/CoralSpark.java | https://github.com/linkedin/coral/blob/master/coral-spark/src/main/java/com/linkedin/coral/spark/CoralSpark.java | BSD-2-Clause |
private static CoralSpark createWithAlias(RelNode irRelNode, List<String> aliases, HiveMetastoreClient hmsClient) {
SparkRelInfo sparkRelInfo = IRRelToSparkRelTransformer.transform(irRelNode);
Set<SparkUDFInfo> sparkUDFInfos = sparkRelInfo.getSparkUDFInfos();
RelNode sparkRelNode = sparkRelInfo.getSparkRelN... | Users use this function as the main API for getting CoralSpark instance.
This should be used when user need to align the Coral-spark translated SQL
with Coral-schema output schema
@param irRelNode An IR RelNode for which CoralSpark will be constructed.
@param schema Coral schema that is represented by an Avro schema
@... | createWithAlias | java | linkedin/coral | coral-spark/src/main/java/com/linkedin/coral/spark/CoralSpark.java | https://github.com/linkedin/coral/blob/master/coral-spark/src/main/java/com/linkedin/coral/spark/CoralSpark.java | BSD-2-Clause |
private static SqlNode constructSparkSqlNode(RelNode sparkRelNode, Set<SparkUDFInfo> sparkUDFInfos,
HiveMetastoreClient hmsClient) {
CoralRelToSqlNodeConverter rel2sql = new CoralRelToSqlNodeConverter();
SqlNode coralSqlNode = rel2sql.convert(sparkRelNode);
SqlNode coralSqlNodeWithRelDataTypeDerivedC... | Users use this function as the main API for getting CoralSpark instance.
This should be used when user need to align the Coral-spark translated SQL
with Coral-schema output schema
@param irRelNode An IR RelNode for which CoralSpark will be constructed.
@param schema Coral schema that is represented by an Avro schema
@... | constructSparkSqlNode | java | linkedin/coral | coral-spark/src/main/java/com/linkedin/coral/spark/CoralSpark.java | https://github.com/linkedin/coral/blob/master/coral-spark/src/main/java/com/linkedin/coral/spark/CoralSpark.java | BSD-2-Clause |
public static String constructSparkSQL(SqlNode sparkSqlNode) {
return sparkSqlNode.toSqlString(SparkSqlDialect.INSTANCE).getSql();
} | Users use this function as the main API for getting CoralSpark instance.
This should be used when user need to align the Coral-spark translated SQL
with Coral-schema output schema
@param irRelNode An IR RelNode for which CoralSpark will be constructed.
@param schema Coral schema that is represented by an Avro schema
@... | constructSparkSQL | java | linkedin/coral | coral-spark/src/main/java/com/linkedin/coral/spark/CoralSpark.java | https://github.com/linkedin/coral/blob/master/coral-spark/src/main/java/com/linkedin/coral/spark/CoralSpark.java | BSD-2-Clause |
private static boolean isSelectStar(SqlNode node) {
if (node.getKind() == SqlKind.SELECT && ((SqlSelect) node).getSelectList().size() == 1
&& ((SqlSelect) node).getSelectList().get(0) instanceof SqlIdentifier) {
SqlIdentifier identifier = (SqlIdentifier) ((SqlSelect) node).getSelectList().get(0);
... | Users use this function as the main API for getting CoralSpark instance.
This should be used when user need to align the Coral-spark translated SQL
with Coral-schema output schema
@param irRelNode An IR RelNode for which CoralSpark will be constructed.
@param schema Coral schema that is represented by an Avro schema
@... | isSelectStar | java | linkedin/coral | coral-spark/src/main/java/com/linkedin/coral/spark/CoralSpark.java | https://github.com/linkedin/coral/blob/master/coral-spark/src/main/java/com/linkedin/coral/spark/CoralSpark.java | BSD-2-Clause |
private static List<String> constructBaseTables(RelNode relNode) {
return RelOptUtil.findAllTables(relNode).stream().map(RelOptTable::getQualifiedName)
.map(x -> String.join(".", x.get(1), x.get(2))).collect(Collectors.toList());
} | This function returns the list of base table names, in the format
"database_name.table_name".
A 'base table' of a view, is the Hive table on which view is dependent on.
@param relNode A RelNode (may or may not be Spark compatible)
@return List of {@link String} representing base tables on which a view
depends on. | constructBaseTables | java | linkedin/coral | coral-spark/src/main/java/com/linkedin/coral/spark/CoralSpark.java | https://github.com/linkedin/coral/blob/master/coral-spark/src/main/java/com/linkedin/coral/spark/CoralSpark.java | BSD-2-Clause |
public List<String> getBaseTables() {
return baseTables;
} | Getter for list of base tables in the format "database_name.table_name".
@return List of base table strings. | getBaseTables | java | linkedin/coral | coral-spark/src/main/java/com/linkedin/coral/spark/CoralSpark.java | https://github.com/linkedin/coral/blob/master/coral-spark/src/main/java/com/linkedin/coral/spark/CoralSpark.java | BSD-2-Clause |
public List<SparkUDFInfo> getSparkUDFInfoList() {
return sparkUDFInfoList;
} | Getter for Spark UDF information list:
Additional information required to use an UDF (for details, read [[SparkUDFInfo]])
@return List of {@link SparkUDFInfo} : List of Spark UDF information | getSparkUDFInfoList | java | linkedin/coral | coral-spark/src/main/java/com/linkedin/coral/spark/CoralSpark.java | https://github.com/linkedin/coral/blob/master/coral-spark/src/main/java/com/linkedin/coral/spark/CoralSpark.java | BSD-2-Clause |
public String getSparkSql() {
return sparkSql;
} | Getter for Spark SQL which is 'completely expanded'
A SQL statement is 'completely expanded' if it doesn't depend
on (or selects from) Hive views, but instead, just on base tables.
@return SQL string in HiveQL dialect which is 'completely expanded' | getSparkSql | java | linkedin/coral | coral-spark/src/main/java/com/linkedin/coral/spark/CoralSpark.java | https://github.com/linkedin/coral/blob/master/coral-spark/src/main/java/com/linkedin/coral/spark/CoralSpark.java | BSD-2-Clause |
public SqlNode getSqlNode() {
return sqlNode;
} | Getter for the SqlNode representation
@return SqlNode | getSqlNode | java | linkedin/coral | coral-spark/src/main/java/com/linkedin/coral/spark/CoralSpark.java | https://github.com/linkedin/coral/blob/master/coral-spark/src/main/java/com/linkedin/coral/spark/CoralSpark.java | BSD-2-Clause |
@Override
public SqlNode visit(final SqlCall sqlCall) {
SqlCall transformedSqlCall = getTransformedSqlCall(sqlCall);
return super.visit(transformedSqlCall);
} | CoralSqlNodeToSparkSqlNodeConverter rewrites the Coral SqlNode AST. It replaces Coral IR SqlCalls
with Spark compatible SqlCalls to subsequently obtain a Spark compatible SqlNode AST representation.
This will enable generating a SQL which can be accurately interpreted by the Spark engine.
This is achieved by visiting ... | visit | java | linkedin/coral | coral-spark/src/main/java/com/linkedin/coral/spark/CoralSqlNodeToSparkSqlNodeConverter.java | https://github.com/linkedin/coral/blob/master/coral-spark/src/main/java/com/linkedin/coral/spark/CoralSqlNodeToSparkSqlNodeConverter.java | BSD-2-Clause |
public static SqlCall getTransformedSqlCall(SqlCall sqlCall) {
switch (sqlCall.getOperator().kind) {
case JOIN:
return getTransformedJoinSqlCall(sqlCall);
case AS:
return getTransformedAsSqlCall(sqlCall);
case UNNEST:
return getTransformedUnnestSqlCall(sqlCall);
defau... | CoralSqlNodeToSparkSqlNodeConverter rewrites the Coral SqlNode AST. It replaces Coral IR SqlCalls
with Spark compatible SqlCalls to subsequently obtain a Spark compatible SqlNode AST representation.
This will enable generating a SQL which can be accurately interpreted by the Spark engine.
This is achieved by visiting ... | getTransformedSqlCall | java | linkedin/coral | coral-spark/src/main/java/com/linkedin/coral/spark/CoralSqlNodeToSparkSqlNodeConverter.java | https://github.com/linkedin/coral/blob/master/coral-spark/src/main/java/com/linkedin/coral/spark/CoralSqlNodeToSparkSqlNodeConverter.java | BSD-2-Clause |
private static SqlCall getTransformedUnnestSqlCall(SqlCall sqlCall) {
final SqlNode potentialIfCall = getOrDefault(sqlCall.getOperandList(), 0, null);
// For outer unnest sqlCalls, Spark supports the simplified SQL format `LATERAL VIEW OUTER EXPLODE(...)`.
// Hence, if there's an outer Unnest Coral SqlCall... | CoralSqlNodeToSparkSqlNodeConverter rewrites the Coral SqlNode AST. It replaces Coral IR SqlCalls
with Spark compatible SqlCalls to subsequently obtain a Spark compatible SqlNode AST representation.
This will enable generating a SQL which can be accurately interpreted by the Spark engine.
This is achieved by visiting ... | getTransformedUnnestSqlCall | java | linkedin/coral | coral-spark/src/main/java/com/linkedin/coral/spark/CoralSqlNodeToSparkSqlNodeConverter.java | https://github.com/linkedin/coral/blob/master/coral-spark/src/main/java/com/linkedin/coral/spark/CoralSqlNodeToSparkSqlNodeConverter.java | BSD-2-Clause |
private static SqlCall getTransformedAsSqlCall(SqlCall sqlCall) {
// For a SqlCall with AS operator, default Calcite un-parsing generates SQL:
// table_alias.column_alias t0 (ccol)
// However, Spark SQL needs the AS operands to be un-parsed in the following manner:
// table_alias.column_al... | CoralSqlNodeToSparkSqlNodeConverter rewrites the Coral SqlNode AST. It replaces Coral IR SqlCalls
with Spark compatible SqlCalls to subsequently obtain a Spark compatible SqlNode AST representation.
This will enable generating a SQL which can be accurately interpreted by the Spark engine.
This is achieved by visiting ... | getTransformedAsSqlCall | java | linkedin/coral | coral-spark/src/main/java/com/linkedin/coral/spark/CoralSqlNodeToSparkSqlNodeConverter.java | https://github.com/linkedin/coral/blob/master/coral-spark/src/main/java/com/linkedin/coral/spark/CoralSqlNodeToSparkSqlNodeConverter.java | BSD-2-Clause |
private static SqlCall getTransformedJoinSqlCall(SqlCall sqlCall) {
// All SQL JOIN clauses are represented as a SqlJoin SqlCall in the CoralSqlNode AST.
// A transformation is only needed for SqlJoin SqlCalls with LATERAL joins.
if (((SqlJoin) sqlCall).getJoinType() != JoinType.COMMA) {
return sqlCal... | CoralSqlNodeToSparkSqlNodeConverter rewrites the Coral SqlNode AST. It replaces Coral IR SqlCalls
with Spark compatible SqlCalls to subsequently obtain a Spark compatible SqlNode AST representation.
This will enable generating a SQL which can be accurately interpreted by the Spark engine.
This is achieved by visiting ... | getTransformedJoinSqlCall | java | linkedin/coral | coral-spark/src/main/java/com/linkedin/coral/spark/CoralSqlNodeToSparkSqlNodeConverter.java | https://github.com/linkedin/coral/blob/master/coral-spark/src/main/java/com/linkedin/coral/spark/CoralSqlNodeToSparkSqlNodeConverter.java | BSD-2-Clause |
private static boolean isCorrelateRightChildOuter(SqlCall sqlCall) {
SqlCall asOperatorSqlCall = (SqlCall) ((SqlJoin) sqlCall).getRight();
SqlCall lateralOperatorSqlCall = asOperatorSqlCall.operand(0);
SqlCall functionSqlCall = lateralOperatorSqlCall.operand(0);
if (functionSqlCall.getKind() == SqlKind... | CoralSqlNodeToSparkSqlNodeConverter rewrites the Coral SqlNode AST. It replaces Coral IR SqlCalls
with Spark compatible SqlCalls to subsequently obtain a Spark compatible SqlNode AST representation.
This will enable generating a SQL which can be accurately interpreted by the Spark engine.
This is achieved by visiting ... | isCorrelateRightChildOuter | java | linkedin/coral | coral-spark/src/main/java/com/linkedin/coral/spark/CoralSqlNodeToSparkSqlNodeConverter.java | https://github.com/linkedin/coral/blob/master/coral-spark/src/main/java/com/linkedin/coral/spark/CoralSqlNodeToSparkSqlNodeConverter.java | BSD-2-Clause |
private static <T> T getOrDefault(List<T> list, int index, T defaultValue) {
return list.size() > index ? list.get(index) : defaultValue;
} | CoralSqlNodeToSparkSqlNodeConverter rewrites the Coral SqlNode AST. It replaces Coral IR SqlCalls
with Spark compatible SqlCalls to subsequently obtain a Spark compatible SqlNode AST representation.
This will enable generating a SQL which can be accurately interpreted by the Spark engine.
This is achieved by visiting ... | getOrDefault | java | linkedin/coral | coral-spark/src/main/java/com/linkedin/coral/spark/CoralSqlNodeToSparkSqlNodeConverter.java | https://github.com/linkedin/coral/blob/master/coral-spark/src/main/java/com/linkedin/coral/spark/CoralSqlNodeToSparkSqlNodeConverter.java | BSD-2-Clause |
@Override
public SqlNode visit(SqlCall call) {
return operatorTransformerList.apply((SqlCall) super.visit(call));
} | DataTypeDerivedSqlCallConverter transforms the sqlCalls
in the input SqlNode representation to be compatible with Spark engine.
The transformation may involve change in operator, reordering the operands
or even re-constructing the SqlNode.
All the transformations performed as part of this shuttle require RelDataType d... | visit | java | linkedin/coral | coral-spark/src/main/java/com/linkedin/coral/spark/DataTypeDerivedSqlCallConverter.java | https://github.com/linkedin/coral/blob/master/coral-spark/src/main/java/com/linkedin/coral/spark/DataTypeDerivedSqlCallConverter.java | BSD-2-Clause |
static SparkRelInfo transform(RelNode calciteNode) {
Set<SparkUDFInfo> sparkUDFInfos = new HashSet<>();
RelShuttle converter = new RelShuttleImpl() {
@Override
public RelNode visit(LogicalProject project) {
return super.visit(project).accept(getSparkRexConverter(project));
}
@Ov... | This API is used to transforms IR RelNode to make it compatible with spark.
@return [[SparkRelInfo]] containing the Spark RelNode and list of standard UDFs. | transform | java | linkedin/coral | coral-spark/src/main/java/com/linkedin/coral/spark/IRRelToSparkRelTransformer.java | https://github.com/linkedin/coral/blob/master/coral-spark/src/main/java/com/linkedin/coral/spark/IRRelToSparkRelTransformer.java | BSD-2-Clause |
@Override
public RelNode visit(LogicalProject project) {
return super.visit(project).accept(getSparkRexConverter(project));
} | This API is used to transforms IR RelNode to make it compatible with spark.
@return [[SparkRelInfo]] containing the Spark RelNode and list of standard UDFs. | visit | java | linkedin/coral | coral-spark/src/main/java/com/linkedin/coral/spark/IRRelToSparkRelTransformer.java | https://github.com/linkedin/coral/blob/master/coral-spark/src/main/java/com/linkedin/coral/spark/IRRelToSparkRelTransformer.java | BSD-2-Clause |
@Override
public RelNode visit(LogicalFilter inputFilter) {
return super.visit(inputFilter).accept(getSparkRexConverter(inputFilter));
} | This API is used to transforms IR RelNode to make it compatible with spark.
@return [[SparkRelInfo]] containing the Spark RelNode and list of standard UDFs. | visit | java | linkedin/coral | coral-spark/src/main/java/com/linkedin/coral/spark/IRRelToSparkRelTransformer.java | https://github.com/linkedin/coral/blob/master/coral-spark/src/main/java/com/linkedin/coral/spark/IRRelToSparkRelTransformer.java | BSD-2-Clause |
@Override
public RelNode visit(LogicalAggregate aggregate) {
return super.visit(aggregate).accept(getSparkRexConverter(aggregate));
} | This API is used to transforms IR RelNode to make it compatible with spark.
@return [[SparkRelInfo]] containing the Spark RelNode and list of standard UDFs. | visit | java | linkedin/coral | coral-spark/src/main/java/com/linkedin/coral/spark/IRRelToSparkRelTransformer.java | https://github.com/linkedin/coral/blob/master/coral-spark/src/main/java/com/linkedin/coral/spark/IRRelToSparkRelTransformer.java | BSD-2-Clause |
@Override
public RelNode visit(LogicalMatch match) {
return super.visit(match).accept(getSparkRexConverter(match));
} | This API is used to transforms IR RelNode to make it compatible with spark.
@return [[SparkRelInfo]] containing the Spark RelNode and list of standard UDFs. | visit | java | linkedin/coral | coral-spark/src/main/java/com/linkedin/coral/spark/IRRelToSparkRelTransformer.java | https://github.com/linkedin/coral/blob/master/coral-spark/src/main/java/com/linkedin/coral/spark/IRRelToSparkRelTransformer.java | BSD-2-Clause |
@Override
public RelNode visit(TableScan scan) {
return super.visit(scan).accept(getSparkRexConverter(scan));
} | This API is used to transforms IR RelNode to make it compatible with spark.
@return [[SparkRelInfo]] containing the Spark RelNode and list of standard UDFs. | visit | java | linkedin/coral | coral-spark/src/main/java/com/linkedin/coral/spark/IRRelToSparkRelTransformer.java | https://github.com/linkedin/coral/blob/master/coral-spark/src/main/java/com/linkedin/coral/spark/IRRelToSparkRelTransformer.java | BSD-2-Clause |
@Override
public RelNode visit(TableFunctionScan scan) {
return super.visit(scan).accept(getSparkRexConverter(scan));
} | This API is used to transforms IR RelNode to make it compatible with spark.
@return [[SparkRelInfo]] containing the Spark RelNode and list of standard UDFs. | visit | java | linkedin/coral | coral-spark/src/main/java/com/linkedin/coral/spark/IRRelToSparkRelTransformer.java | https://github.com/linkedin/coral/blob/master/coral-spark/src/main/java/com/linkedin/coral/spark/IRRelToSparkRelTransformer.java | BSD-2-Clause |
@Override
public RelNode visit(LogicalValues values) {
return super.visit(values).accept(getSparkRexConverter(values));
} | This API is used to transforms IR RelNode to make it compatible with spark.
@return [[SparkRelInfo]] containing the Spark RelNode and list of standard UDFs. | visit | java | linkedin/coral | coral-spark/src/main/java/com/linkedin/coral/spark/IRRelToSparkRelTransformer.java | https://github.com/linkedin/coral/blob/master/coral-spark/src/main/java/com/linkedin/coral/spark/IRRelToSparkRelTransformer.java | BSD-2-Clause |
@Override
public RelNode visit(LogicalJoin join) {
return super.visit(join).accept(getSparkRexConverter(join));
} | This API is used to transforms IR RelNode to make it compatible with spark.
@return [[SparkRelInfo]] containing the Spark RelNode and list of standard UDFs. | visit | java | linkedin/coral | coral-spark/src/main/java/com/linkedin/coral/spark/IRRelToSparkRelTransformer.java | https://github.com/linkedin/coral/blob/master/coral-spark/src/main/java/com/linkedin/coral/spark/IRRelToSparkRelTransformer.java | BSD-2-Clause |
@Override
public RelNode visit(LogicalCorrelate correlate) {
return super.visit(correlate).accept(getSparkRexConverter(correlate));
} | This API is used to transforms IR RelNode to make it compatible with spark.
@return [[SparkRelInfo]] containing the Spark RelNode and list of standard UDFs. | visit | java | linkedin/coral | coral-spark/src/main/java/com/linkedin/coral/spark/IRRelToSparkRelTransformer.java | https://github.com/linkedin/coral/blob/master/coral-spark/src/main/java/com/linkedin/coral/spark/IRRelToSparkRelTransformer.java | BSD-2-Clause |
@Override
public RelNode visit(LogicalUnion union) {
return super.visit(union).accept(getSparkRexConverter(union));
} | This API is used to transforms IR RelNode to make it compatible with spark.
@return [[SparkRelInfo]] containing the Spark RelNode and list of standard UDFs. | visit | java | linkedin/coral | coral-spark/src/main/java/com/linkedin/coral/spark/IRRelToSparkRelTransformer.java | https://github.com/linkedin/coral/blob/master/coral-spark/src/main/java/com/linkedin/coral/spark/IRRelToSparkRelTransformer.java | BSD-2-Clause |
@Override
public RelNode visit(LogicalIntersect intersect) {
return super.visit(intersect).accept(getSparkRexConverter(intersect));
} | This API is used to transforms IR RelNode to make it compatible with spark.
@return [[SparkRelInfo]] containing the Spark RelNode and list of standard UDFs. | visit | java | linkedin/coral | coral-spark/src/main/java/com/linkedin/coral/spark/IRRelToSparkRelTransformer.java | https://github.com/linkedin/coral/blob/master/coral-spark/src/main/java/com/linkedin/coral/spark/IRRelToSparkRelTransformer.java | BSD-2-Clause |
@Override
public RelNode visit(LogicalMinus minus) {
return super.visit(minus).accept(getSparkRexConverter(minus));
} | This API is used to transforms IR RelNode to make it compatible with spark.
@return [[SparkRelInfo]] containing the Spark RelNode and list of standard UDFs. | visit | java | linkedin/coral | coral-spark/src/main/java/com/linkedin/coral/spark/IRRelToSparkRelTransformer.java | https://github.com/linkedin/coral/blob/master/coral-spark/src/main/java/com/linkedin/coral/spark/IRRelToSparkRelTransformer.java | BSD-2-Clause |
@Override
public RelNode visit(LogicalSort sort) {
return super.visit(sort).accept(getSparkRexConverter(sort));
} | This API is used to transforms IR RelNode to make it compatible with spark.
@return [[SparkRelInfo]] containing the Spark RelNode and list of standard UDFs. | visit | java | linkedin/coral | coral-spark/src/main/java/com/linkedin/coral/spark/IRRelToSparkRelTransformer.java | https://github.com/linkedin/coral/blob/master/coral-spark/src/main/java/com/linkedin/coral/spark/IRRelToSparkRelTransformer.java | BSD-2-Clause |
@Override
public RelNode visit(LogicalExchange exchange) {
return super.visit(exchange).accept(getSparkRexConverter(exchange));
} | This API is used to transforms IR RelNode to make it compatible with spark.
@return [[SparkRelInfo]] containing the Spark RelNode and list of standard UDFs. | visit | java | linkedin/coral | coral-spark/src/main/java/com/linkedin/coral/spark/IRRelToSparkRelTransformer.java | https://github.com/linkedin/coral/blob/master/coral-spark/src/main/java/com/linkedin/coral/spark/IRRelToSparkRelTransformer.java | BSD-2-Clause |
@Override
public RelNode visit(RelNode other) {
return super.visit(other).accept(getSparkRexConverter(other));
} | This API is used to transforms IR RelNode to make it compatible with spark.
@return [[SparkRelInfo]] containing the Spark RelNode and list of standard UDFs. | visit | java | linkedin/coral | coral-spark/src/main/java/com/linkedin/coral/spark/IRRelToSparkRelTransformer.java | https://github.com/linkedin/coral/blob/master/coral-spark/src/main/java/com/linkedin/coral/spark/IRRelToSparkRelTransformer.java | BSD-2-Clause |
private SparkRexConverter getSparkRexConverter(RelNode node) {
return new SparkRexConverter(node.getCluster().getRexBuilder(), sparkUDFInfos);
} | This API is used to transforms IR RelNode to make it compatible with spark.
@return [[SparkRelInfo]] containing the Spark RelNode and list of standard UDFs. | getSparkRexConverter | java | linkedin/coral | coral-spark/src/main/java/com/linkedin/coral/spark/IRRelToSparkRelTransformer.java | https://github.com/linkedin/coral/blob/master/coral-spark/src/main/java/com/linkedin/coral/spark/IRRelToSparkRelTransformer.java | BSD-2-Clause |
@Override
public RexNode visitCall(RexCall call) {
if (call == null) {
return null;
}
RexCall updatedCall = (RexCall) super.visitCall(call);
return convertToZeroBasedArrayIndex(updatedCall).orElse(updatedCall);
} | This method traverses the list of RexCall nodes. During traversal, this method performs the necessary
conversion from Calcite terms to Spark terms. For example, Calcite has a built-in function "CARDINALITY",
which corresponds to "SIZE" in Spark.
In order to convert to Spark terms correctly, we need to traverse RexCa... | visitCall | java | linkedin/coral | coral-spark/src/main/java/com/linkedin/coral/spark/IRRelToSparkRelTransformer.java | https://github.com/linkedin/coral/blob/master/coral-spark/src/main/java/com/linkedin/coral/spark/IRRelToSparkRelTransformer.java | BSD-2-Clause |
private Optional<RexNode> convertToZeroBasedArrayIndex(RexCall call) {
if (call.getOperator().equals(SqlStdOperatorTable.ITEM)) {
RexNode columnRef = call.getOperands().get(0);
RexNode itemRef = call.getOperands().get(1);
if (columnRef.getType() instanceof ArraySqlType) {
if (ite... | This method traverses the list of RexCall nodes. During traversal, this method performs the necessary
conversion from Calcite terms to Spark terms. For example, Calcite has a built-in function "CARDINALITY",
which corresponds to "SIZE" in Spark.
In order to convert to Spark terms correctly, we need to traverse RexCa... | convertToZeroBasedArrayIndex | java | linkedin/coral | coral-spark/src/main/java/com/linkedin/coral/spark/IRRelToSparkRelTransformer.java | https://github.com/linkedin/coral/blob/master/coral-spark/src/main/java/com/linkedin/coral/spark/IRRelToSparkRelTransformer.java | BSD-2-Clause |
@Override
public SqlNode visit(SqlCall call) {
if (call.getOperator().getKind() == SqlKind.CAST
&& containsSqlRowTypeSpec((SqlDataTypeSpec) call.getOperandList().get(1))) {
return call.getOperandList().get(0).accept(this);
}
return super.visit(call);
} | Spark SQL doesn't support CASTING to a row/struct.
For example:
SELECT CAST(named_struct(.....) to ROW)
is translated to
SELECT named_struct(.....)
Check `CoralSparkTest#testAvoidCastToRow` for unit test and a more complex example. | visit | java | linkedin/coral | coral-spark/src/main/java/com/linkedin/coral/spark/SparkSqlRewriter.java | https://github.com/linkedin/coral/blob/master/coral-spark/src/main/java/com/linkedin/coral/spark/SparkSqlRewriter.java | BSD-2-Clause |
private boolean containsSqlRowTypeSpec(SqlDataTypeSpec sqlDataTypeSpec) {
if (sqlDataTypeSpec instanceof SqlRowTypeSpec) {
return true;
} else if (sqlDataTypeSpec instanceof SqlArrayTypeSpec) {
return containsSqlRowTypeSpec(((SqlArrayTypeSpec) sqlDataTypeSpec).getElementTypeSpec());
} else if (s... | Check if the SqlDataTypeSpec contains `ROW` | containsSqlRowTypeSpec | java | linkedin/coral | coral-spark/src/main/java/com/linkedin/coral/spark/SparkSqlRewriter.java | https://github.com/linkedin/coral/blob/master/coral-spark/src/main/java/com/linkedin/coral/spark/SparkSqlRewriter.java | BSD-2-Clause |
@Override
public SqlNode visit(SqlLiteral call) {
if (call instanceof SqlIntervalLiteral) {
SqlIntervalLiteral literal = (SqlIntervalLiteral) call;
SqlIntervalLiteral.IntervalValue value = (SqlIntervalLiteral.IntervalValue) literal.getValue();
if (value.getSign() == -1) {
// Create a new... | SparkSQL support intervals in HiveQL syntax like below:
INTERVAL '-7' DAY
instead of ANSI SQL like below:
INTERVAL -'7' DAY
This function will translate ANSI SQL style to HiveQL style.
@param call the input SqlNode
@return the translated SqlNode | visit | java | linkedin/coral | coral-spark/src/main/java/com/linkedin/coral/spark/SparkSqlRewriter.java | https://github.com/linkedin/coral/blob/master/coral-spark/src/main/java/com/linkedin/coral/spark/SparkSqlRewriter.java | BSD-2-Clause |
public Set<SparkUDFInfo> getSparkUDFInfos() {
return sparkUDFInfos;
} | This class is a container for following information
1) sparkRelNode : RelNode which is transformed by [[IRRelToSparkRelTransformer]] and contains
Spark UDF names.
2) sparkUDFInfos : Spark UDF information such as ivy link that is required to be registered, before the UDFs are used. | getSparkUDFInfos | java | linkedin/coral | coral-spark/src/main/java/com/linkedin/coral/spark/containers/SparkRelInfo.java | https://github.com/linkedin/coral/blob/master/coral-spark/src/main/java/com/linkedin/coral/spark/containers/SparkRelInfo.java | BSD-2-Clause |
public RelNode getSparkRelNode() {
return sparkRelNode;
} | This class is a container for following information
1) sparkRelNode : RelNode which is transformed by [[IRRelToSparkRelTransformer]] and contains
Spark UDF names.
2) sparkUDFInfos : Spark UDF information such as ivy link that is required to be registered, before the UDFs are used. | getSparkRelNode | java | linkedin/coral | coral-spark/src/main/java/com/linkedin/coral/spark/containers/SparkRelInfo.java | https://github.com/linkedin/coral/blob/master/coral-spark/src/main/java/com/linkedin/coral/spark/containers/SparkRelInfo.java | BSD-2-Clause |
public String getClassName() {
return className;
} | Get class name for the UDF implementation.
@return String Class name of a Spark UDF
Example: com.linkedin.stdudfs.spark.daliudfs.EpochToDateFormatFunctionWrapper | getClassName | java | linkedin/coral | coral-spark/src/main/java/com/linkedin/coral/spark/containers/SparkUDFInfo.java | https://github.com/linkedin/coral/blob/master/coral-spark/src/main/java/com/linkedin/coral/spark/containers/SparkUDFInfo.java | BSD-2-Clause |
public String getFunctionName() {
return functionName;
} | Get function name of the UDF, which will be needed while registering UDF.
Note: SQL retrieved from CoralSpark.getExpandedSQL() will contain this name.
@return String Function name of the Spark UDF
Example: epochToDateFormat | getFunctionName | java | linkedin/coral | coral-spark/src/main/java/com/linkedin/coral/spark/containers/SparkUDFInfo.java | https://github.com/linkedin/coral/blob/master/coral-spark/src/main/java/com/linkedin/coral/spark/containers/SparkUDFInfo.java | BSD-2-Clause |
public List<URI> getArtifactoryUrls() {
return artifactoryUrls;
} | Artifactory Url to download all dependencies for this UDF.
@return URI Artifactory Url to download all dependencies for this UDF
Example: ivy://com.linkedin.standard-udfs-dali-udfs:standard-udfs-dali-udfs-spark:0.0.8 | getArtifactoryUrls | java | linkedin/coral | coral-spark/src/main/java/com/linkedin/coral/spark/containers/SparkUDFInfo.java | https://github.com/linkedin/coral/blob/master/coral-spark/src/main/java/com/linkedin/coral/spark/containers/SparkUDFInfo.java | BSD-2-Clause |
public UDFTYPE getUdfType() {
return udfType;
} | Get type of the UDF, which will be needed while registering UDF.
Note: Different UDF type will require different mechnism to register a UDF.
@return UDF_TYPE the UDF type of the function
Example: HIVE_CUSTOM_UDF | getUdfType | java | linkedin/coral | coral-spark/src/main/java/com/linkedin/coral/spark/containers/SparkUDFInfo.java | https://github.com/linkedin/coral/blob/master/coral-spark/src/main/java/com/linkedin/coral/spark/containers/SparkUDFInfo.java | BSD-2-Clause |
@Override
public String toString() {
return "SparkUDFInfo{" + "className='" + className + '\'' + ", functionName='" + functionName + '\''
+ ", artifactoryUrls='" + artifactoryUrls + '\'' + ", udfType='" + udfType + '\'' + '}';
} | Get type of the UDF, which will be needed while registering UDF.
Note: Different UDF type will require different mechnism to register a UDF.
@return UDF_TYPE the UDF type of the function
Example: HIVE_CUSTOM_UDF | toString | java | linkedin/coral | coral-spark/src/main/java/com/linkedin/coral/spark/containers/SparkUDFInfo.java | https://github.com/linkedin/coral/blob/master/coral-spark/src/main/java/com/linkedin/coral/spark/containers/SparkUDFInfo.java | BSD-2-Clause |
@Override
public boolean equals(Object o) {
if (this == o) {
return true;
}
if (o == null || getClass() != o.getClass()) {
return false;
}
SparkUDFInfo that = (SparkUDFInfo) o;
return Objects.equals(className, that.className) && Objects.equals(functionName, that.functionName)
... | Get type of the UDF, which will be needed while registering UDF.
Note: Different UDF type will require different mechnism to register a UDF.
@return UDF_TYPE the UDF type of the function
Example: HIVE_CUSTOM_UDF | equals | java | linkedin/coral | coral-spark/src/main/java/com/linkedin/coral/spark/containers/SparkUDFInfo.java | https://github.com/linkedin/coral/blob/master/coral-spark/src/main/java/com/linkedin/coral/spark/containers/SparkUDFInfo.java | BSD-2-Clause |
@Override
public int hashCode() {
return Objects.hash(className, functionName, artifactoryUrls, udfType);
} | Get type of the UDF, which will be needed while registering UDF.
Note: Different UDF type will require different mechnism to register a UDF.
@return UDF_TYPE the UDF type of the function
Example: HIVE_CUSTOM_UDF | hashCode | java | linkedin/coral | coral-spark/src/main/java/com/linkedin/coral/spark/containers/SparkUDFInfo.java | https://github.com/linkedin/coral/blob/master/coral-spark/src/main/java/com/linkedin/coral/spark/containers/SparkUDFInfo.java | BSD-2-Clause |
@Override
public void unparseCall(SqlWriter writer, SqlCall call, int leftPrec, int rightPrec) {
if (call.getOperator() instanceof SqlMultisetValueConstructor) {
unparseMapOrArray(writer, call);
} else if (call.getOperator() instanceof SqlUnnestOperator) {
unparseUnnest(writer, call);
} else i... | Overrides unparse call:
All SqlCall translations will go through here.
We specifically target two
- UNNEST
- MAP or ARRAY | unparseCall | java | linkedin/coral | coral-spark/src/main/java/com/linkedin/coral/spark/dialect/SparkSqlDialect.java | https://github.com/linkedin/coral/blob/master/coral-spark/src/main/java/com/linkedin/coral/spark/dialect/SparkSqlDialect.java | BSD-2-Clause |
private void unparseSubstring(SqlWriter writer, SqlCall call) {
writer.keyword("SUBSTRING");
final SqlWriter.Frame frame = writer.startList(SqlWriter.FrameTypeEnum.FUN_CALL, "(", ")");
for (SqlNode operand : call.getOperandList()) {
writer.sep(",");
operand.unparse(writer, 0, 0);
}
write... | Default SQL operator for SUBSTRING(a, 1, 5)
unparses to "SUBSTRING(a FROM 1 FOR 5)"
SparkSQL doesn't support this translation
so the behaviour is overridden here with
"SUBSTRING(a, 1, 5)" | unparseSubstring | java | linkedin/coral | coral-spark/src/main/java/com/linkedin/coral/spark/dialect/SparkSqlDialect.java | https://github.com/linkedin/coral/blob/master/coral-spark/src/main/java/com/linkedin/coral/spark/dialect/SparkSqlDialect.java | BSD-2-Clause |
private void unparseUnnest(SqlWriter writer, SqlCall call) {
if (call.getOperator() instanceof CoralSqlUnnestOperator
&& ((CoralSqlUnnestOperator) call.getOperator()).withOrdinality) {
writer.keyword("POSEXPLODE");
} else {
writer.keyword("EXPLODE");
}
final SqlWriter.Frame frame = w... | Converts UNNEST(...) to EXPLODE(...)
Code referred from SqlFunctionalOperator.java | unparseUnnest | java | linkedin/coral | coral-spark/src/main/java/com/linkedin/coral/spark/dialect/SparkSqlDialect.java | https://github.com/linkedin/coral/blob/master/coral-spark/src/main/java/com/linkedin/coral/spark/dialect/SparkSqlDialect.java | BSD-2-Clause |
private void unparseMapOrArray(SqlWriter writer, SqlCall call) {
writer.keyword(call.getOperator().getName()); // "MULTISET" or "ARRAY"
final SqlWriter.Frame frame = writer.startList("(", ")");
for (SqlNode operand : call.getOperandList()) {
writer.sep(",");
operand.unparse(writer, 0, 0);
}
... | Converts ARRAY[] to ARRAY()
Converts MAP[] to MAP() | unparseMapOrArray | java | linkedin/coral | coral-spark/src/main/java/com/linkedin/coral/spark/dialect/SparkSqlDialect.java | https://github.com/linkedin/coral/blob/master/coral-spark/src/main/java/com/linkedin/coral/spark/dialect/SparkSqlDialect.java | BSD-2-Clause |
@Override
protected boolean allowsAs() {
return false;
} | Converts ARRAY[] to ARRAY()
Converts MAP[] to MAP() | allowsAs | java | linkedin/coral | coral-spark/src/main/java/com/linkedin/coral/spark/dialect/SparkSqlDialect.java | https://github.com/linkedin/coral/blob/master/coral-spark/src/main/java/com/linkedin/coral/spark/dialect/SparkSqlDialect.java | BSD-2-Clause |
@Override
public boolean supportsCharSet() {
return false;
} | Disables character set.
Otherwise data types are accompanied with character sets
For ex:
VARCHAR(30) CHARACTER SET `ISO-8859-1` | supportsCharSet | java | linkedin/coral | coral-spark/src/main/java/com/linkedin/coral/spark/dialect/SparkSqlDialect.java | https://github.com/linkedin/coral/blob/master/coral-spark/src/main/java/com/linkedin/coral/spark/dialect/SparkSqlDialect.java | BSD-2-Clause |
@Override
protected boolean identifierNeedsQuote(String val) {
return RESERVED_KEYWORDS.contains(val.toUpperCase(Locale.ROOT));
} | Disables character set.
Otherwise data types are accompanied with character sets
For ex:
VARCHAR(30) CHARACTER SET `ISO-8859-1` | identifierNeedsQuote | java | linkedin/coral | coral-spark/src/main/java/com/linkedin/coral/spark/dialect/SparkSqlDialect.java | https://github.com/linkedin/coral/blob/master/coral-spark/src/main/java/com/linkedin/coral/spark/dialect/SparkSqlDialect.java | BSD-2-Clause |
@Override
public void unparseOffsetFetch(SqlWriter writer, SqlNode offset, SqlNode fetch) {
unparseFetchUsingLimit(writer, offset, fetch);
} | Disables character set.
Otherwise data types are accompanied with character sets
For ex:
VARCHAR(30) CHARACTER SET `ISO-8859-1` | unparseOffsetFetch | java | linkedin/coral | coral-spark/src/main/java/com/linkedin/coral/spark/dialect/SparkSqlDialect.java | https://github.com/linkedin/coral/blob/master/coral-spark/src/main/java/com/linkedin/coral/spark/dialect/SparkSqlDialect.java | BSD-2-Clause |
@Override
public String getMessage() {
return String.format("Coral Spark does not support following UDF: %s", functionName);
} | [CORAL-75] Creating a new exception type for UDFs which proactively triggers View Analysis failure.
Tracking this error can help in prioritizing onboarding unsupported UDFs | getMessage | java | linkedin/coral | coral-spark/src/main/java/com/linkedin/coral/spark/exceptions/UnsupportedUDFException.java | https://github.com/linkedin/coral/blob/master/coral-spark/src/main/java/com/linkedin/coral/spark/exceptions/UnsupportedUDFException.java | BSD-2-Clause |
private boolean isSingleUnionType(RelDataType relDataType) {
return relDataType.isStruct() && relDataType.getFieldList().size() == 2
&& relDataType.getFieldList().get(0).getKey().equalsIgnoreCase("tag")
&& relDataType.getFieldList().get(1).getKey().equalsIgnoreCase("field0");
} | Check if the given RelDataType is a single union type in Coral IR representation, the conversion to which happens in
{@link TypeConverter#convert(UnionTypeInfo, RelDataTypeFactory)} | isSingleUnionType | java | linkedin/coral | coral-spark/src/main/java/com/linkedin/coral/spark/transformers/ExtractUnionFunctionTransformer.java | https://github.com/linkedin/coral/blob/master/coral-spark/src/main/java/com/linkedin/coral/spark/transformers/ExtractUnionFunctionTransformer.java | BSD-2-Clause |
@Override
protected boolean condition(SqlCall sqlCall) {
return sqlCall.getOperator() instanceof GenericProjectFunction && sqlCall.getOperandList().size() == 3;
} | This transformer transforms the SqlCall `generic_project(col, col_name_string, hive_type_string)`
(check {@link com.linkedin.coral.common.FuzzyUnionSqlRewriter}) to `generic_project(col, hive_type_string)`
to meet Spark's expectation, and registers the `GenericProject` UDF. | condition | java | linkedin/coral | coral-spark/src/main/java/com/linkedin/coral/spark/transformers/FuzzyUnionGenericProjectTransformer.java | https://github.com/linkedin/coral/blob/master/coral-spark/src/main/java/com/linkedin/coral/spark/transformers/FuzzyUnionGenericProjectTransformer.java | BSD-2-Clause |
@Override
protected SqlCall transform(SqlCall sqlCall) {
sparkUDFInfos.add(new SparkUDFInfo("com.linkedin.genericprojectudf.GenericProject", "generic_project",
ImmutableList.of(URI.create("ivy://com.linkedin.GenericProject:GenericProject-impl:+")),
SparkUDFInfo.UDFTYPE.HIVE_CUSTOM_UDF));
retur... | This transformer transforms the SqlCall `generic_project(col, col_name_string, hive_type_string)`
(check {@link com.linkedin.coral.common.FuzzyUnionSqlRewriter}) to `generic_project(col, hive_type_string)`
to meet Spark's expectation, and registers the `GenericProject` UDF. | transform | java | linkedin/coral | coral-spark/src/main/java/com/linkedin/coral/spark/transformers/FuzzyUnionGenericProjectTransformer.java | https://github.com/linkedin/coral/blob/master/coral-spark/src/main/java/com/linkedin/coral/spark/transformers/FuzzyUnionGenericProjectTransformer.java | BSD-2-Clause |
@Override
protected boolean condition(SqlCall sqlCall) {
final SqlOperator operator = sqlCall.getOperator();
final String operatorName = operator.getName();
return operator instanceof VersionedSqlUserDefinedFunction && operatorName.contains(".")
&& !operatorName.equals(".");
} | Some LinkedIn UDFs get registered correctly in a SparkSession, and hence a DataFrame is successfully
created for the views containing those UDFs, but those UDFs fail going forward during the execution phase.
We cannot use a fallback mechanism for such cases because a DataFrame can be created successfully.
Because of th... | condition | java | linkedin/coral | coral-spark/src/main/java/com/linkedin/coral/spark/transformers/HiveUDFTransformer.java | https://github.com/linkedin/coral/blob/master/coral-spark/src/main/java/com/linkedin/coral/spark/transformers/HiveUDFTransformer.java | BSD-2-Clause |
@Override
protected SqlCall transform(SqlCall sqlCall) {
final VersionedSqlUserDefinedFunction operator = (VersionedSqlUserDefinedFunction) sqlCall.getOperator();
final String operatorName = operator.getName();
if (UNSUPPORTED_HIVE_UDFS.contains(operatorName)) {
throw new UnsupportedUDFException(ope... | Some LinkedIn UDFs get registered correctly in a SparkSession, and hence a DataFrame is successfully
created for the views containing those UDFs, but those UDFs fail going forward during the execution phase.
We cannot use a fallback mechanism for such cases because a DataFrame can be created successfully.
Because of th... | transform | java | linkedin/coral | coral-spark/src/main/java/com/linkedin/coral/spark/transformers/HiveUDFTransformer.java | https://github.com/linkedin/coral/blob/master/coral-spark/src/main/java/com/linkedin/coral/spark/transformers/HiveUDFTransformer.java | BSD-2-Clause |
@Override
protected boolean condition(SqlCall sqlCall) {
scalaVersion = getScalaVersionOfSpark();
if (!(sqlCall.getOperator() instanceof VersionedSqlUserDefinedFunction)
|| !hiveUDFClassName.equalsIgnoreCase(sqlCall.getOperator().getName())) {
return false;
}
if (scalaVersion == ScalaVer... | This transformer transforms legacy Hive UDFs to an equivalent registered Transport UDF.
Check `CoralSparkTest#testTransportUDFTransformer()` for example. | condition | java | linkedin/coral | coral-spark/src/main/java/com/linkedin/coral/spark/transformers/TransportUDFTransformer.java | https://github.com/linkedin/coral/blob/master/coral-spark/src/main/java/com/linkedin/coral/spark/transformers/TransportUDFTransformer.java | BSD-2-Clause |
@Override
protected SqlCall transform(SqlCall sqlCall) {
final VersionedSqlUserDefinedFunction operator = (VersionedSqlUserDefinedFunction) sqlCall.getOperator();
final String originalViewTextFunctionName = operator.getOriginalViewTextFunctionName();
sparkUDFInfos.add(new SparkUDFInfo(sparkUDFClassName, o... | This transformer transforms legacy Hive UDFs to an equivalent registered Transport UDF.
Check `CoralSparkTest#testTransportUDFTransformer()` for example. | transform | java | linkedin/coral | coral-spark/src/main/java/com/linkedin/coral/spark/transformers/TransportUDFTransformer.java | https://github.com/linkedin/coral/blob/master/coral-spark/src/main/java/com/linkedin/coral/spark/transformers/TransportUDFTransformer.java | BSD-2-Clause |
public ScalaVersion getScalaVersionOfSpark() {
try {
String sparkVersion = SparkSession.active().version();
if (sparkVersion.matches("2\\.[\\d\\.]*")) {
return ScalaVersion.SCALA_2_11;
} else if (sparkVersion.matches("3\\d*\\.[\\d\\.]*")) {
return ScalaVersion.SCALA_2_12;
} e... | This transformer transforms legacy Hive UDFs to an equivalent registered Transport UDF.
Check `CoralSparkTest#testTransportUDFTransformer()` for example. | getScalaVersionOfSpark | java | linkedin/coral | coral-spark/src/main/java/com/linkedin/coral/spark/transformers/TransportUDFTransformer.java | https://github.com/linkedin/coral/blob/master/coral-spark/src/main/java/com/linkedin/coral/spark/transformers/TransportUDFTransformer.java | BSD-2-Clause |
@Override
public void close() throws HiveException {
forwardObj[0] = count;
forward(forwardObj);
forward(forwardObj);
} | CoralTestUDTF outputs the number of rows seen, twice. It's output twice
to test outputting of rows on close with lateral view. | close | java | linkedin/coral | coral-spark/src/test/java/com/linkedin/coral/hive/hive2rel/CoralTestUDTF.java | https://github.com/linkedin/coral/blob/master/coral-spark/src/test/java/com/linkedin/coral/hive/hive2rel/CoralTestUDTF.java | BSD-2-Clause |
@Override
public StructObjectInspector initialize(StructObjectInspector argOIs) {
ArrayList<String> fieldNames = new ArrayList<>();
ArrayList<ObjectInspector> fieldOIs = new ArrayList<>();
fieldNames.add("col1");
fieldOIs.add(PrimitiveObjectInspectorFactory.javaIntObjectInspector);
return ObjectIn... | CoralTestUDTF outputs the number of rows seen, twice. It's output twice
to test outputting of rows on close with lateral view. | initialize | java | linkedin/coral | coral-spark/src/test/java/com/linkedin/coral/hive/hive2rel/CoralTestUDTF.java | https://github.com/linkedin/coral/blob/master/coral-spark/src/test/java/com/linkedin/coral/hive/hive2rel/CoralTestUDTF.java | BSD-2-Clause |
@Override
public void process(Object[] args) {
count++;
} | CoralTestUDTF outputs the number of rows seen, twice. It's output twice
to test outputting of rows on close with lateral view. | process | java | linkedin/coral | coral-spark/src/test/java/com/linkedin/coral/hive/hive2rel/CoralTestUDTF.java | https://github.com/linkedin/coral/blob/master/coral-spark/src/test/java/com/linkedin/coral/hive/hive2rel/CoralTestUDTF.java | BSD-2-Clause |
public static SparkPlanToIRRelConverter create(HiveMetastoreClient hiveMetastoreClient) {
checkNotNull(hiveMetastoreClient);
return new SparkPlanToIRRelConverter(hiveMetastoreClient);
} | Initializes converter using HiveMetastoreClient
@param hiveMetastoreClient
@return {@link SparkPlanToIRRelConverter} | create | java | linkedin/coral | coral-spark-plan/src/main/java/com/linkedin/coral/sparkplan/SparkPlanToIRRelConverter.java | https://github.com/linkedin/coral/blob/master/coral-spark-plan/src/main/java/com/linkedin/coral/sparkplan/SparkPlanToIRRelConverter.java | BSD-2-Clause |
public static SparkPlanToIRRelConverter create(String localMetastorePath) throws IOException {
checkNotNull(localMetastorePath);
Gson gson = new Gson();
Reader reader = Files.newBufferedReader(Paths.get(localMetastorePath));
Map<String, Map<String, List<String>>> localMetastore = gson.fromJson(reader, M... | Initializes converter and provider with localMetastorePath, which points to a json file
@param localMetastorePath path of local metastore json file, containing all the required
metadata (database name, table name, column name and type)
@return {@link SparkPlanToIRRelConverter}
@throws IOExcept... | create | java | linkedin/coral | coral-spark-plan/src/main/java/com/linkedin/coral/sparkplan/SparkPlanToIRRelConverter.java | https://github.com/linkedin/coral/blob/master/coral-spark-plan/src/main/java/com/linkedin/coral/sparkplan/SparkPlanToIRRelConverter.java | BSD-2-Clause |
public Map<String, List<String>> getComplicatedPredicatePushedDownInfo(String plan) {
try {
return traverse(constructDAG(plan));
} catch (Exception e) {
Map<String, List<String>> errorMap = new HashMap<>();
errorMap.put("Error!", Collections.singletonList(e.getMessage() + "\n" + Arrays.toStrin... | This API is used to get the complicated predicate push down in scan nodes
@param plan well-formed Spark logical or physical plan string
@return a map whose key is table name and value is a list of predicate information of that table | getComplicatedPredicatePushedDownInfo | java | linkedin/coral | coral-spark-plan/src/main/java/com/linkedin/coral/sparkplan/SparkPlanToIRRelConverter.java | https://github.com/linkedin/coral/blob/master/coral-spark-plan/src/main/java/com/linkedin/coral/sparkplan/SparkPlanToIRRelConverter.java | BSD-2-Clause |
public String containsComplicatedPredicatePushedDown(String plan) {
try {
Map<String, List<String>> predicateInfoMap = getComplicatedPredicatePushedDownInfo(plan);
int failedTableCount = 0;
List<String> failedReasons = new LinkedList<>();
for (String databaseTableName : predicateInfoMap.keyS... | This API is used to judge if there is complicated predicate which is pushed down to scan node in given plan
@param plan well-formed Spark logical or physical plan string
@return "Yes" if there is complicated predicate pushed down to scan node in given plan; "No" if there is a
non-complicated predicate pushed down to sc... | containsComplicatedPredicatePushedDown | java | linkedin/coral | coral-spark-plan/src/main/java/com/linkedin/coral/sparkplan/SparkPlanToIRRelConverter.java | https://github.com/linkedin/coral/blob/master/coral-spark-plan/src/main/java/com/linkedin/coral/sparkplan/SparkPlanToIRRelConverter.java | BSD-2-Clause |
private boolean containsOnlySimplePredicates(RexNode condition) {
if (condition == null) {
return true;
}
Queue<RexNode> queue = new LinkedList<>();
queue.add(condition);
while (!queue.isEmpty()) { // breadth first search
RexNode rexNode = queue.poll();
if (rexNode instanceof RexCa... | This API is used to judge if the given node contains only simple predicates
which are =, >, >=, <, <=, in, isnull, isnotnull, and, or, not, startswith, endswith, contains
For example,
the node representing '[((code#65 NOT IN (12, 13) AND isnotnull(code#65))
OR (StartsWith(name#62, 'LA') AND EndsWith(name#62, 'X') AND C... | containsOnlySimplePredicates | java | linkedin/coral | coral-spark-plan/src/main/java/com/linkedin/coral/sparkplan/SparkPlanToIRRelConverter.java | https://github.com/linkedin/coral/blob/master/coral-spark-plan/src/main/java/com/linkedin/coral/sparkplan/SparkPlanToIRRelConverter.java | BSD-2-Clause |
private void visitScanNode(SparkPlanNode nodeToVisit, Map<String, List<String>> predicateInfoMap) {
String description = nodeToVisit.getDescription();
final String firstWord = getFirstWord(description);
if (firstWord.length() > 0) {
switch (firstWord) {
case "HiveTableRelation":
case "... | This API is used to visit scan SparkPlanNode, and parse the description and update predicateInfoMap
@param nodeToVisit current node needs to be visited
@param predicateInfoMap a map whose key is table name and value is a list of predicate information of that table | visitScanNode | java | linkedin/coral | coral-spark-plan/src/main/java/com/linkedin/coral/sparkplan/SparkPlanToIRRelConverter.java | https://github.com/linkedin/coral/blob/master/coral-spark-plan/src/main/java/com/linkedin/coral/sparkplan/SparkPlanToIRRelConverter.java | BSD-2-Clause |
private String getFirstWord(String s) {
StringBuilder firstWord = new StringBuilder();
boolean wordStarts = false;
for (char c : s.toCharArray()) {
if (Character.isAlphabetic(c)) {
wordStarts = true;
firstWord.append(c);
} else {
if (wordStarts) {
break;
... | This API is used to get the first word from a string
@param s string from which we want to get the first word | getFirstWord | java | linkedin/coral | coral-spark-plan/src/main/java/com/linkedin/coral/sparkplan/SparkPlanToIRRelConverter.java | https://github.com/linkedin/coral/blob/master/coral-spark-plan/src/main/java/com/linkedin/coral/sparkplan/SparkPlanToIRRelConverter.java | BSD-2-Clause |
private static boolean containsOnlyFieldNames(String info) {
String[] infos = info.split(", ");
for (String word : infos) {
if (!word.matches("\\w[\\w_\\d]*#\\d+\\w*") && !word.startsWith("...")) {
return false;
}
}
return true;
} | This API is used to judge if the string [[info]] only contains field names of the table, if so, it is not a
complex predicate
@param info string we need to judge
@return true if it only contains field names like 'datepartition#20, engagement_p1#12, engagement_p2_detailed#15, id#17L'
otherwise, return false if it contai... | containsOnlyFieldNames | java | linkedin/coral | coral-spark-plan/src/main/java/com/linkedin/coral/sparkplan/SparkPlanToIRRelConverter.java | https://github.com/linkedin/coral/blob/master/coral-spark-plan/src/main/java/com/linkedin/coral/sparkplan/SparkPlanToIRRelConverter.java | BSD-2-Clause |
public int getPosition() {
return position;
} | @param position Position of the Spark plan node, from top to bottom is 0, 1, 2, 3...
@param description Description string of the Spark plan node
@param planType Type of the Spark plan node, like SCAN, PROJECT, FILTER...
Example: In previous example, for 'Project [area_code#71, code#72]',
position is 0, description is... | getPosition | java | linkedin/coral | coral-spark-plan/src/main/java/com/linkedin/coral/sparkplan/containers/SparkPlanNode.java | https://github.com/linkedin/coral/blob/master/coral-spark-plan/src/main/java/com/linkedin/coral/sparkplan/containers/SparkPlanNode.java | BSD-2-Clause |
public String getDescription() {
return description;
} | @param position Position of the Spark plan node, from top to bottom is 0, 1, 2, 3...
@param description Description string of the Spark plan node
@param planType Type of the Spark plan node, like SCAN, PROJECT, FILTER...
Example: In previous example, for 'Project [area_code#71, code#72]',
position is 0, description is... | getDescription | java | linkedin/coral | coral-spark-plan/src/main/java/com/linkedin/coral/sparkplan/containers/SparkPlanNode.java | https://github.com/linkedin/coral/blob/master/coral-spark-plan/src/main/java/com/linkedin/coral/sparkplan/containers/SparkPlanNode.java | BSD-2-Clause |
public PLANTYPE getPlanType() {
return planType;
} | @param position Position of the Spark plan node, from top to bottom is 0, 1, 2, 3...
@param description Description string of the Spark plan node
@param planType Type of the Spark plan node, like SCAN, PROJECT, FILTER...
Example: In previous example, for 'Project [area_code#71, code#72]',
position is 0, description is... | getPlanType | java | linkedin/coral | coral-spark-plan/src/main/java/com/linkedin/coral/sparkplan/containers/SparkPlanNode.java | https://github.com/linkedin/coral/blob/master/coral-spark-plan/src/main/java/com/linkedin/coral/sparkplan/containers/SparkPlanNode.java | BSD-2-Clause |
public void setPlanType(PLANTYPE planType) {
this.planType = planType;
} | @param position Position of the Spark plan node, from top to bottom is 0, 1, 2, 3...
@param description Description string of the Spark plan node
@param planType Type of the Spark plan node, like SCAN, PROJECT, FILTER...
Example: In previous example, for 'Project [area_code#71, code#72]',
position is 0, description is... | setPlanType | java | linkedin/coral | coral-spark-plan/src/main/java/com/linkedin/coral/sparkplan/containers/SparkPlanNode.java | https://github.com/linkedin/coral/blob/master/coral-spark-plan/src/main/java/com/linkedin/coral/sparkplan/containers/SparkPlanNode.java | BSD-2-Clause |
@Override
public String toString() {
return "SparkPlanNode{" + "position=" + position + ", description='" + description + '\'' + ", planType=" + planType
+ '}';
} | @param position Position of the Spark plan node, from top to bottom is 0, 1, 2, 3...
@param description Description string of the Spark plan node
@param planType Type of the Spark plan node, like SCAN, PROJECT, FILTER...
Example: In previous example, for 'Project [area_code#71, code#72]',
position is 0, description is... | toString | java | linkedin/coral | coral-spark-plan/src/main/java/com/linkedin/coral/sparkplan/containers/SparkPlanNode.java | https://github.com/linkedin/coral/blob/master/coral-spark-plan/src/main/java/com/linkedin/coral/sparkplan/containers/SparkPlanNode.java | BSD-2-Clause |
@Override
public boolean equals(Object o) {
if (this == o) {
return true;
}
if (o == null || getClass() != o.getClass()) {
return false;
}
SparkPlanNode that = (SparkPlanNode) o;
return position == that.position && description.equals(that.description) && planType == that.planType;
... | @param position Position of the Spark plan node, from top to bottom is 0, 1, 2, 3...
@param description Description string of the Spark plan node
@param planType Type of the Spark plan node, like SCAN, PROJECT, FILTER...
Example: In previous example, for 'Project [area_code#71, code#72]',
position is 0, description is... | equals | java | linkedin/coral | coral-spark-plan/src/main/java/com/linkedin/coral/sparkplan/containers/SparkPlanNode.java | https://github.com/linkedin/coral/blob/master/coral-spark-plan/src/main/java/com/linkedin/coral/sparkplan/containers/SparkPlanNode.java | BSD-2-Clause |
@Override
public int hashCode() {
return Objects.hash(position, description, planType);
} | @param position Position of the Spark plan node, from top to bottom is 0, 1, 2, 3...
@param description Description string of the Spark plan node
@param planType Type of the Spark plan node, like SCAN, PROJECT, FILTER...
Example: In previous example, for 'Project [area_code#71, code#72]',
position is 0, description is... | hashCode | java | linkedin/coral | coral-spark-plan/src/main/java/com/linkedin/coral/sparkplan/containers/SparkPlanNode.java | https://github.com/linkedin/coral/blob/master/coral-spark-plan/src/main/java/com/linkedin/coral/sparkplan/containers/SparkPlanNode.java | BSD-2-Clause |
@Override
protected SqlCall transform(SqlCall sqlCall) {
return TrinoElementAtFunction.INSTANCE.createCall(SqlParserPos.ZERO, sqlCall.getOperandList());
} | This class extends the class of {@link SqlShuttle} and initialize a {@link SqlCallTransformers}
which containing a list of {@link com.linkedin.coral.common.transformers.SqlCallTransformer}to traverse the hierarchy of a {@link SqlCall}
and converts the functions from Coral operator to Trino operator if it is required | transform | java | linkedin/coral | coral-trino/src/main/java/com/linkedin/coral/trino/rel2trino/CoralToTrinoSqlCallConverter.java | https://github.com/linkedin/coral/blob/master/coral-trino/src/main/java/com/linkedin/coral/trino/rel2trino/CoralToTrinoSqlCallConverter.java | BSD-2-Clause |
private SqlOperator hiveToCoralSqlOperator(String functionName) {
Collection<Function> lookup = HIVE_FUNCTION_REGISTRY.lookup(functionName);
return lookup.iterator().next().getSqlOperator();
} | This class extends the class of {@link SqlShuttle} and initialize a {@link SqlCallTransformers}
which containing a list of {@link com.linkedin.coral.common.transformers.SqlCallTransformer}to traverse the hierarchy of a {@link SqlCall}
and converts the functions from Coral operator to Trino operator if it is required | hiveToCoralSqlOperator | java | linkedin/coral | coral-trino/src/main/java/com/linkedin/coral/trino/rel2trino/CoralToTrinoSqlCallConverter.java | https://github.com/linkedin/coral/blob/master/coral-trino/src/main/java/com/linkedin/coral/trino/rel2trino/CoralToTrinoSqlCallConverter.java | BSD-2-Clause |
@Override
public SqlNode visit(SqlCall call) {
return sqlCallTransformers.apply((SqlCall) super.visit(call));
} | This class extends the class of {@link SqlShuttle} and initialize a {@link SqlCallTransformers}
which containing a list of {@link com.linkedin.coral.common.transformers.SqlCallTransformer}to traverse the hierarchy of a {@link SqlCall}
and converts the functions from Coral operator to Trino operator if it is required | visit | java | linkedin/coral | coral-trino/src/main/java/com/linkedin/coral/trino/rel2trino/CoralToTrinoSqlCallConverter.java | https://github.com/linkedin/coral/blob/master/coral-trino/src/main/java/com/linkedin/coral/trino/rel2trino/CoralToTrinoSqlCallConverter.java | BSD-2-Clause |
@Override
public SqlNode visit(final SqlCall call) {
return operatorTransformerList.apply((SqlCall) super.visit(call));
} | DataTypeDerivedSqlCallConverter transforms the sqlCalls
in the input SqlNode representation to be compatible with Trino engine.
The transformation may involve change in operator, reordering the operands
or even re-constructing the SqlNode.
All the transformations performed as part of this shuttle require RelDataType d... | visit | java | linkedin/coral | coral-trino/src/main/java/com/linkedin/coral/trino/rel2trino/DataTypeDerivedSqlCallConverter.java | https://github.com/linkedin/coral/blob/master/coral-trino/src/main/java/com/linkedin/coral/trino/rel2trino/DataTypeDerivedSqlCallConverter.java | BSD-2-Clause |
@Override
public SqlNode visit(SqlCall sqlCall) {
if (sqlCall instanceof SqlBasicCall && sqlCall.getOperator() instanceof VersionedSqlUserDefinedFunction
&& sqlCall.getOperator().getName().contains(".")) {
// Register versioned SqlUserDefinedFunctions in RelConverter's dynamicFunctionRegistr... | DataTypeDerivedSqlCallConverter transforms the sqlCalls
in the input SqlNode representation to be compatible with Trino engine.
The transformation may involve change in operator, reordering the operands
or even re-constructing the SqlNode.
All the transformations performed as part of this shuttle require RelDataType d... | visit | java | linkedin/coral | coral-trino/src/main/java/com/linkedin/coral/trino/rel2trino/DataTypeDerivedSqlCallConverter.java | https://github.com/linkedin/coral/blob/master/coral-trino/src/main/java/com/linkedin/coral/trino/rel2trino/DataTypeDerivedSqlCallConverter.java | BSD-2-Clause |
public String toTrinoSql(String hiveSql) {
RelNode rel = hiveToRelConverter.convertSql(hiveSql);
return relToTrinoConverter.convert(rel);
} | Converts input HiveQL to Trino's SQL
@param hiveSql hive sql query string
@return Trino-compatible SQL string representing input hiveSql | toTrinoSql | java | linkedin/coral | coral-trino/src/main/java/com/linkedin/coral/trino/rel2trino/HiveToTrinoConverter.java | https://github.com/linkedin/coral/blob/master/coral-trino/src/main/java/com/linkedin/coral/trino/rel2trino/HiveToTrinoConverter.java | BSD-2-Clause |
public String toTrinoSql(String dbName, String viewName) {
RelNode rel = hiveToRelConverter.convertView(dbName, viewName);
return relToTrinoConverter.convert(rel);
} | Converts input view definition to Trino SQL
@param dbName hive DB name
@param viewName hive view base name
@return Trino-compatible SQL matching input view definition | toTrinoSql | java | linkedin/coral | coral-trino/src/main/java/com/linkedin/coral/trino/rel2trino/HiveToTrinoConverter.java | https://github.com/linkedin/coral/blob/master/coral-trino/src/main/java/com/linkedin/coral/trino/rel2trino/HiveToTrinoConverter.java | BSD-2-Clause |
public String convert(RelNode relNode) {
SqlNode sqlNode = convertToSqlNode(relNode);
SqlNode sqlNodeWithRelDataTypeDerivedConversions =
sqlNode.accept(new DataTypeDerivedSqlCallConverter(_hiveMetastoreClient, sqlNode));
SqlNode sqlNodeWithUDFOperatorConverted =
sqlNodeWithRelDataTypeDeriv... | Convert relational algebra to Trino's SQL
@param relNode calcite relational algebra representation of SQL
@return SQL string | convert | java | linkedin/coral | coral-trino/src/main/java/com/linkedin/coral/trino/rel2trino/RelToTrinoConverter.java | https://github.com/linkedin/coral/blob/master/coral-trino/src/main/java/com/linkedin/coral/trino/rel2trino/RelToTrinoConverter.java | BSD-2-Clause |
public SqlNode convertToSqlNode(RelNode relNode) {
return visitChild(0, relNode).asStatement();
} | Convert input relational algebra to calcite SqlNode
@param relNode relation algebra
@return calcite SqlNode representation for input | convertToSqlNode | java | linkedin/coral | coral-trino/src/main/java/com/linkedin/coral/trino/rel2trino/RelToTrinoConverter.java | https://github.com/linkedin/coral/blob/master/coral-trino/src/main/java/com/linkedin/coral/trino/rel2trino/RelToTrinoConverter.java | BSD-2-Clause |
public Result visit(Window window) {
return null;
} | @see #dispatch(RelNode)
@param window Relnode representing window clause
@return result of translation to sql | visit | java | linkedin/coral | coral-trino/src/main/java/com/linkedin/coral/trino/rel2trino/RelToTrinoConverter.java | https://github.com/linkedin/coral/blob/master/coral-trino/src/main/java/com/linkedin/coral/trino/rel2trino/RelToTrinoConverter.java | BSD-2-Clause |
@Override
public Result visit(Uncollect e) {
// projectResult's SqlNode representation: SELECT `complex`.`c` AS `col` FROM (VALUES (0)) AS `t` (`ZERO`)
final Result projectResult = visitChild(0, e.getInput());
// Extract column(s) to unnest from projectResult
// to generate simpler operand for UNNE... | Uncollect RelNode represents a table function that expands an array/map column into a relation.
Super's implementation uses the conversion result of the child node as is and appends the function operator and an AS operator with two aliases.
This generates a SqlNode like:
<pre>
UNNEST (SELECT `complex`.`c` AS `col` ... | visit | java | linkedin/coral | coral-trino/src/main/java/com/linkedin/coral/trino/rel2trino/RelToTrinoConverter.java | https://github.com/linkedin/coral/blob/master/coral-trino/src/main/java/com/linkedin/coral/trino/rel2trino/RelToTrinoConverter.java | BSD-2-Clause |
@Override
public Result visit(TableScan e) {
List<String> qualifiedName = e.getTable().getQualifiedName();
if (qualifiedName.size() > 2) {
qualifiedName = qualifiedName.subList(qualifiedName.size() - 2, qualifiedName.size()); // take last two entries
}
final SqlIdentifier identifier = new SqlIde... | This overridden function makes sure that the basetable names in the output SQL
will be in the form of "dbname.tablename" instead of "catalogname.dbname.tablename"
Trino can have configurable catalog names. In that case the HiveToRelConverter's default "hive" catalog will
cause failures: https://github.com/trinodb/tri... | visit | java | linkedin/coral | coral-trino/src/main/java/com/linkedin/coral/trino/rel2trino/RelToTrinoConverter.java | https://github.com/linkedin/coral/blob/master/coral-trino/src/main/java/com/linkedin/coral/trino/rel2trino/RelToTrinoConverter.java | BSD-2-Clause |
private boolean isTrinoSupportedUnnest(Uncollect uncollect) {
if (!(uncollect.getInput() instanceof Project)
|| !(((Project) uncollect.getInput()).getInput() instanceof Values)) {
return false;
}
Values values = (Values) ((Project) uncollect.getInput()).getInput();
// Values should have on... | Checks whether we do unnest in Trino. In this case the plan should have this structure:
Uncollect
LogicalProject(<List of projections>)
LogicalValues(tuples=[[{ 0 }]])
Then when producing Trino SQL, we just generate UNNEST(<List of projections>). For other cases
Trino does not support UNNEST a query: UNN... | isTrinoSupportedUnnest | java | linkedin/coral | coral-trino/src/main/java/com/linkedin/coral/trino/rel2trino/RelToTrinoConverter.java | https://github.com/linkedin/coral/blob/master/coral-trino/src/main/java/com/linkedin/coral/trino/rel2trino/RelToTrinoConverter.java | BSD-2-Clause |
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