milenkovicm commented on issue #17297:
URL: https://github.com/apache/datafusion/issues/17297#issuecomment-3258739674
looking at spark, cache is represented as `InMemoryRelation` :
```python
from pyspark.sql import SparkSession
spark : SparkSession = SparkSession.builder.getOrCreate()
# %%
df0 = spark.read.parquet("./tpch-data-sf10/lineitem")
df1 = df0.filter("l_partkey == 1")
df2 = df1.cache()
df2.explain()
```
will produce:
```
== Physical Plan ==
InMemoryTableScan [l_orderkey#0L, l_partkey#1L, l_suppkey#2L,
l_linenumber#3, l_quantity#4, l_extendedprice#5, l_discount#6, l_tax#7,
l_returnflag#8, l_linestatus#9, l_shipdate#10, l_commitdate#11,
l_receiptdate#12, l_shipinstruct#13, l_shipmode#14, l_comment#15]
+- InMemoryRelation [l_orderkey#0L, l_partkey#1L, l_suppkey#2L,
l_linenumber#3, l_quantity#4, l_extendedprice#5, l_discount#6, l_tax#7,
l_returnflag#8, l_linestatus#9, l_shipdate#10, l_commitdate#11,
l_receiptdate#12, l_shipinstruct#13, l_shipmode#14, l_comment#15],
StorageLevel(disk, memory, deserialized, 1 replicas)
+- *(1) Filter (isnotnull(l_partkey#1L) AND (l_partkey#1L = 1))
+- *(1) ColumnarToRow
+- FileScan parquet
[l_orderkey#0L,l_partkey#1L,l_suppkey#2L,l_linenumber#3,l_quantity#4,l_extendedprice#5,l_discount#6,l_tax#7,l_returnflag#8,l_linestatus#9,l_shipdate#10,l_commitdate#11,l_receiptdate#12,l_shipinstruct#13,l_shipmode#14,l_comment#15]
Batched: true, DataFilters: [isnotnull(l_partkey#1L), (l_partkey#1L = 1)],
Format: Parquet, Location: InMemoryFileIndex(1
paths)[file:./tpch-data-sf10/lineitem], PartitionFilters: [], PushedFilters:
[IsNotNull(l_partkey), EqualTo(l_partkey,1)], ReadSchema:
struct<l_orderkey:bigint,l_partkey:bigint,l_suppkey:bigint,l_linenumber:int,l_quantity:decimal(15...
```
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