Repository: pingcap/tispark (language: python)

Issue:
Fix read from range column partition table error 
### What problem does this PR solve? <!--add issue link with summary if exists-->

close #2638

### What is changed and how it works?

1. Fix the output of explain: TiSpark no more throw `NoSuchElementException` when there is no partition after partition prune.

2. Fix the part of the bug that no partitions will be selected in the range column partition table.

 TiSpark will contain `''` when generates partition exprs. For example, if your DDL is `PARTITION p1 VALUES LESS THAN ('CN001')`, you will get something like `${column_name} less than "'CN001'"`. Then, your filter can not match the partition exprs.

After Fix, TiSpark will convert
-  'CN001' -> "CN001"
- '''CN001''' -> "'CN001'"


[BUG] Read from range column partition table error
**Describe the bug**
<!-- A clear and concise description of what the bug is. -->

Read from range column partition table error.

**What did you do**
1. DDL
```
create table range_column_test (id varchar(10)) partition by RANGE COLUMNS(`id`) (PARTITION `p1` VALUES LESS THAN ('CN001'),PARTITION `p2` VALUES LESS THAN ('CN002'))
```

2. use tispark to read

```
select * from range_column_test where id = 'CN001'
```

3. error occurs
<img width="1002" alt="image" src="https://user-images.githubusercontent.com/52435083/223045869-2a9a054b-3332-49cc-971a-d4dd4a93d8ac.png">


**Spark and TiSpark version info**
TiSpark : <= v3.2.0


Discussion / hints:
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This pull request has been approved by:

- Daemonxiao
- xuanyu66




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/run-all-tests

/run-all-tests


/run-all-tests

/run-all-tests


/merge
This pull request has been accepted and is ready to merge. <details>Commit hash: 10e42b2b36868d9aa2167071d4361dd2c9cc52b5</details>


Fix patch:
diff --git a/core/src/main/scala/org/apache/spark/sql/execution/CoprocessorRDD.scala b/core/src/main/scala/org/apache/spark/sql/execution/CoprocessorRDD.scala
index c815fcd75c..57fcc84e40 100644
--- a/core/src/main/scala/org/apache/spark/sql/execution/CoprocessorRDD.scala
+++ b/core/src/main/scala/org/apache/spark/sql/execution/CoprocessorRDD.scala
@@ -59,9 +59,12 @@ trait LeafColumnarExecRDD extends LeafExecNode {
       }
       b.append("]")
       b.toString
-    } else {
+    } else if (tiRDDs.lengthCompare(1) == 0) {
       s"${dagRequest.getStoreType.name()} $nodeName{$dagRequest}" +
         s"${TiUtil.getReqEstCountStr(dagRequest)}"
+    } else {
+      // return empty TiRDD when there is no tiRDDs
+      "Empty TiRDD"
     }
 
   def dagRequest: TiDAGRequest = tiRDDs.head.dagRequest
diff --git a/docs/features/partition_table.md b/docs/features/partition_table.md
new file mode 100644
index 0000000000..6bd7406671
--- /dev/null
+++ b/docs/features/partition_table.md
@@ -0,0 +1,39 @@
+# TiSpark partition table
+
+## Read from partition table
+
+TiSpark supports reads the range, hash and list partition table from TiDB.
+
+TiSpark doesn't support a MySQL/TiDB partition table syntax `select col_name from table_name partition(partition_name)`, but you can still use `where` condition to filter the partitions.
+
+## Partition pruning in Reading
+
+TiSpark decides whether to apply partition pruning according to the partition type and the partition expression associated with the table. If partition pruning is not applied, TiSpark's reading is equivalent to doing a table scan over all partitions.
+
+TiSpark only supports partition pruning with the following partition expression in **range** partition:
+
++ column expression
++ `YEAR(col)` and its type is datetime/string/date literal that can be parsed as datetime.
++ `TO_DAYS(col)` and its type is datetime/string/date literal that can be parsed as datetime.
+
+### Limitations
+
+- TiSpark does not support partition pruning in hash and list partition.
+- TiSpark can not apply partition pruning for some special characters in partition definition. For example, Partition definition with `""` can not be pruned. such as `partition p0 values less than ('"string"')`.
+
+## Write into partition table
+
+Currently, TiSpark only supports writing into the range and hash partition table under the following conditions:
++ the partition expression is column expression
++ the partition expression is `YEAR($argument)` where the argument is a column and its type is datetime or string literal
+  that can be parsed as datetime.
+
+There are two ways to write into partition table:
+1. Use datasource API to write into partition table which supports replace and append semantics.
+2. Use delete statement with Spark SQL.
+
+> [!NOTE]
+> Because different character sets and collations have different sort orders, the character sets and
+> collations in use may affect which partition of a table partitioned by RANGE COLUMNS a given row
+> is stored in when using string columns as partitioning columns.
+> For supported character sets and collations, see [Limitations](../README.md#limitations)
\ No newline at end of file
diff --git a/tikv-client/src/main/java/com/pingcap/tikv/expression/PartitionPruner.java b/tikv-client/src/main/java/com/pingcap/tikv/expression/PartitionPruner.java
index 088d9dbde0..8e3c747a1a 100644
--- a/tikv-client/src/main/java/com/pingcap/tikv/expression/PartitionPruner.java
+++ b/tikv-client/src/main/java/com/pingcap/tikv/expression/PartitionPruner.java
@@ -70,6 +70,13 @@ public static List<TiPartitionDef> prune(TiTableInfo tableInfo, List<Expression>
             return tableInfo.getPartitionInfo().getDefs();
           }
 
+          // prune can not handle \" now.
+          for (int i = 0; i < tableInfo.getPartitionInfo().getDefs().size(); i++) {
+            TiPartitionDef pDef = tableInfo.getPartitionInfo().getDefs().get(i);
+            if (pDef.getLessThan().get(0).contains("\"")) {
+              return tableInfo.getPartitionInfo().getDefs();
+            }
+          }
           RangeColumnPartitionPruner pruner = new RangeColumnPartitionPruner(tableInfo);
           return pruner.prune(filters);
         }
@@ -104,7 +111,7 @@ public static void generateRangeExprs(
     // partExprColRefs.addAll(PredicateUtils.extractColumnRefFromExpression(partExpr));
     for (int i = 0; i < partInfo.getDefs().size(); i++) {
       TiPartitionDef pDef = partInfo.getDefs().get(i);
-      String current = pDef.getLessThan().get(lessThanIdx);
+      String current = wrapValue(pDef.getLessThan().get(lessThanIdx));
       String leftHand;
       if (current.equals("MAXVALUE")) {
         leftHand = "true";
@@ -114,7 +121,7 @@ public static void generateRangeExprs(
       if (i == 0) {
         partExprs.add(parser.parseExpression(leftHand));
       } else {
-        String previous = partInfo.getDefs().get(i - 1).getLessThan().get(lessThanIdx);
+        String previous = wrapValue(partInfo.getDefs().get(i - 1).getLessThan().get(lessThanIdx));
         String and =
             String.format("%s >= %s and %s", wrapColumnName(partExprStr), previous, leftHand);
         partExprs.add(parser.parseExpression(and));
@@ -132,4 +139,41 @@ private static String wrapColumnName(String columnName) {
       return String.format("`%s`", columnName);
     }
   }
+
+  /**
+   * Spark SQL will parse string literal without escape, So we need to parse partition definition
+   * without escape too.
+   *
+   * <p>wrapValue will replace the first '' to "", so that antlr will not regard the first '' as a
+   * part of string literal.
+   *
+   * <p>wrapValue will also delete the escape character in string literal.
+   *
+   * <p>e.g. 'string' -> "string" '''string''' -> "'string'" 'string''' -> "string'"
+   *
+   * <p>Can't handle '""'. e.g. '"string"' -> ""string"". parseExpression will parse ""string"" to
+   * empty string, parse '"string"' to 'string'
+   *
+   * @param value
+   * @return
+   */
+  private static String wrapValue(String value) {
+    if (value.startsWith("'") && value.endsWith("'")) {
+      String newValue = String.format("\"%s\"", value.substring(1, value.length() - 1));
+      StringBuilder valueWithoutEscape = new StringBuilder();
+      for (int i = 0; i < newValue.length(); i++) {
+        if (newValue.charAt(i) != '\'') {
+          valueWithoutEscape.append(newValue.charAt(i));
+        } else {
+          if (i + 1 < newValue.length()) {
+            valueWithoutEscape.append(newValue.charAt(i + 1));
+          }
+          i++;
+        }
+      }
+      return valueWithoutEscape.toString();
+    } else {
+      return value;
+    }
+  }
 }


Test patch:
diff --git a/core/src/test/scala/org/apache/spark/sql/PartitionTableSuite.scala b/core/src/test/scala/org/apache/spark/sql/PartitionTableSuite.scala
index eb9192b845..5723e2e231 100644
--- a/core/src/test/scala/org/apache/spark/sql/PartitionTableSuite.scala
+++ b/core/src/test/scala/org/apache/spark/sql/PartitionTableSuite.scala
@@ -33,6 +33,18 @@ class PartitionTableSuite extends BasePlanTest {
       super.afterAll()
     }
 
+  test("reading from range column partition") {
+    tidbStmt.execute("drop table if exists range_column_test")
+    tidbStmt.execute(
+      "create table range_column_test (id varchar(10)) partition by RANGE COLUMNS(`id`) (PARTITION `p1` VALUES LESS THAN ('''CN001'''),PARTITION `p2` VALUES LESS THAN ('CN002'))")
+    tidbStmt.execute("insert into `range_column_test` values('CN001')")
+    tidbStmt.execute("insert into `range_column_test` values('''CN001''')")
+
+    judge("select * from range_column_test where id = 'CN001'")
+    judge("select * from range_column_test where id = '\\'CN001\\''")
+    judge("select * from range_column_test where id = 'CN002'")
+  }
+
   test("reading from hash partition") {
     enablePartitionForTiDB()
     tidbStmt.execute("drop table if exists t")